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Intrabar Efficiency Ratio█   OVERVIEW This indicator displays a directional variant of Perry​ Kaufman's​ Efficiency​ Ratio​, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis. █   CONCEPTS Efficiency Ratio (ER) Efficiency Ratio ​ was first introduced by Perry Kaufman in his 1995 book, titled "Smarter Trading". It is the ratio of absolute price change to the sum of absolute changes on each bar over a period. This tells us how strong the period's trend is relative to the underlying noise. Simply put, it's a measure of price movement efficiency. This ratio is the modulator utilized in Kaufman's​ Adaptive​ Moving​ Average​ (KAMA​), which is essentially an Exponential​ Moving​ Average​ (EMA​) that adapts its responsiveness to movement efficiency. ER's output is bounded between 0 and 1. A value of 0 indicates that the starting price equals the ending price for the period, which suggests that price movement was maximally inefficient. A value of 1 indicates that price had travelled no more than the distance between the starting price and the ending price for the period, which suggests that price movement was maximally efficient. A value between 0 and 1 indicates that price had travelled a distance greater than the distance between the starting price and the ending price for the period. In other words, some degree of noise was present which resulted in reduced efficiency over the period. As an example, let's say that the price of an asset had moved from $15 to $14 by the end of a period, but the sum of absolute changes for each bar of data was $4. ER would be calculated like so: ER = abs(14 - 15)/4 = 0.25 This suggests that the trend was only 25% efficient over the period, as the total distanced travelled by price was four times what was required to achieve the change over the period. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 intrabars at the ​LTF of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script determines which ​LTF to use by examining the chart's timeframe. The ​LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed, but fewer chart bars can display indicator information because there is a limit to the total number of intrabars that can be analyzed. Intrabar precision The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Intrabar Efficiency Ratio (IER) Intrabar Efficiency Ratio applies the concept of ER on an intrabar level. Rather than comparing the overall change to the sum of bar changes for the current chart's timeframe over a period, IER compares single bar changes for the current chart's timeframe to the sum of absolute intrabar changes, then applies smoothing to the result. This gives an indication of how efficient changes are on the current chart's timeframe for each bar of data relative to LTF​ bar changes on an average basis. Unlike the standard ER calculation, we've opted to preserve directional information by not taking the absolute value of overall change, thus allowing it to be utilized as a momentum oscillator. However, by taking the absolute value of this oscillator, it could potentially serve as a replacement for ER in the design of adaptive moving averages. Since this indicator preserves directional information, IER can be regarded as similar to the Chande​ Momentum​ Oscillator​ (CMO​) , which was presented in 1994 by Tushar​ Chande​ in "The New Technical Trader". Both CMO​ and ER​ essentially measure the same relationship between trend and noise. CMO simply differs in scale, and considers the direction of overall changes. █   FEATURES Display Three different display types are included within the script:  • Line : Displays the middle length MA of the IER as a line .   Color for this display can be customized via the "Line" portion of the "Visuals" section in the script settings.  • Candles : Displays the non-smooth IER and two moving averages of different lengths as candles .   The `open` and `close` of the candle are the longest and shortest length MAs of the IER respectively.   The `high` and `low` of the candle are the max and min of the IER, longest length MA of the IER, and shortest length MA of the IER respectively.   Colors for this display can be customized via the "Candles" portion of the "Visuals" section in the script settings.  • Circles : Displays three MAs of the IER as circles .   The color of each plot depends on the percent rank of the respective MA over the previous 100 bars.   Different colors are triggered when ranks are below 10%, between 10% and 50%, between 50% and 90%, and above 90%.   Colors for this display can be customized via the "Circles" portion of the "Visuals" section in the script settings. With either display type, an optional information box can be displayed. This box shows the LTF​ that the script is using, the average number of lower timeframe bars per chart bar, and the number of chart bars that contain LTF​ data. Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. Specifying MA type Seven MA types are included in the script for different averaging effects:  • Simple  • Exponential  • Wilder (RMA)  • Weighted  • Volume-Weighted  • Arnaud Legoux with `offset` and `sigma` set to 0.85 and 6 respectively.  • Hull Weighting This script includes the option to weight IER values based on the percent rank of absolute price changes on the current chart's timeframe over a specified period, which can be enabled by checking the "Weigh using relative close changes" option in the script settings. This places reduced emphasis on IER values from smaller changes, which may help to reduce noise in the output. █   FOR Pine Script™ CODERS  • This script imports the recently published lower_ltf library for calculating intrabar statistics and the optimal lower timeframe in relation to the current chart's timeframe.  • This script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post .   It works differently from the usual request.security() in that it can only be used on LTFs, and it returns an array containing one value per intrabar.   This makes it much easier for programmers to access intrabar information.  • This script implements a new recommended best practice for tables which works faster and reduces memory consumption.   Using this new method, tables are declared only once with var , as usual. Then, on the first bar only, we use table.cell() to populate the table.   Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.   This greatly reduces the resources required to render tables. Look first. Then leap.
Pine Script® indicator
by TradingView
9
lower_tf█   OVERVIEW This library is a Pine programmer’s tool containing functions to help those who use the request.security_lower_tf() function. Its `ltf()` function helps translate user inputs into a lower timeframe string usable with request.security_lower_tf() . Another function, `ltfStats()`, accumulates statistics on processed chart bars and intrabars. █   CONCEPTS Chart bars Chart bars , as referred to in our publications, are bars that occur at the current chart timeframe, as opposed to those that occur at a timeframe that is higher or lower than that of the chart view. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 intrabars at the ​LTF of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This framework exemplifies how authors can determine which ​LTF to use by examining the chart's timeframe. The ​LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed. Intrabar precision The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. █   `ltf()` This function returns a timeframe string usable with request.security_lower_tf() . It calculates the returned timeframe by taking into account a user selection between eight different calculation modes and the chart's timeframe. You send it the user's selection, along with the text corresponding to the eight choices from which the user has chosen, and the function returns a corresponding ​LTF string. Because the function processes strings and doesn't require recalculation on each bar, using var to declare the variable to which its result is assigned will execute the function only once on bar zero and speed up your script: var string ltfString = ​ltf(ltfModeInput, LTF1, LTF2, LTF3, LTF4, LTF5, LTF6, LTF7, LTF8) The eight choices users can select from are of two types: the first four allow a selection from the desired amount of chart bars to be covered, the last four are choices of a fixed number of intrabars to be analyzed per chart bar. Our example code shows how to structure your input call and then make the call to `ltf()`. By changing the text associated with the `LTF1` to `LTF8` constants, you can tailor it to your preferences while preserving the functionality of `ltf()` because you will be sending those string constants as the function's arguments so it can determine the user's selection. The association between each `LTFx` constant and its calculation mode is fixed, so the order of the arguments is important when you call `ltf()`. These are the first four modes and the `LTFx` constants corresponding to each: Covering most chart bars (least precise) — LTF1 Covers all chart bars. This is accomplished by dividing the current timeframe in seconds by 4 and converting that number back to a string in timeframe.period format using secondsToTfString() . Due to the fact that, on premium subscriptions, the typical historical bar count is between 20-25k bars, dividing the timeframe by 4 ensures the highest level of intrabar precision possible while achieving complete coverage for the entire dataset with the maximum allowed 100K intrabars. Covering some chart bars (less precise) — LTF2 Covering less chart bars (more precise) — LTF3 These levels offer a stepped ​LTF in relation to the chart timeframe with slightly more, or slightly less precision. The stepped lower timeframe tiers are calculated from the chart timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min Covering the least chart bars (most precise) — LTF4 Analyzes the maximum quantity of intrabars possible by using the 1min ​LTF, which also allows the least amount of chart bars to be covered. The last four modes allow the user to specify a fixed number of intrabars to analyze per chart bar. Users can choose from 12, 24, 50 or 100 intrabars, respectively corresponding to the `LTF5`, `LTF6`, `LTF7` and `LTF8` constants. The value is a target; the function will do its best to come up with a ​LTF producing the required number of intrabars. Because of considerations such as the length of a ticker's session, rounding of the ​LTF to the closest allowable timeframe, or the lowest allowable timeframe of 1min intrabars, it is often impossible for the function to find a ​​LTF producing the exact number of intrabars. Requesting 100 intrabars on a 60min chart, for example, can only produce 60 1min intrabars. Higher chart timeframes, tickers with high liquidity or 24x7 markets will produce optimal results. █   `ltfStats()` `ltfStats()` returns statistics that will be useful to programmers using intrabar inspection. By analyzing the arrays returned by request.security_lower_tf() in can determine:  • intrabarsInChartBar : The number of intrabars analyzed for each chart bar.  • chartBarsCovered : The number of chart bars where intrabar information is available.  • avgIntrabars : The average number of intrabars analyzed per chart bar. Events like holidays, market activity, or reduced hours sessions can cause the number of intrabars to vary, bar to bar. The function must be called on each bar to produce reliable results. █   DEMONSTRATION CODE Our example code shows how to provide users with an input from which they can select a ​LTF calculation mode. If you use this library's functions, feel free to reuse our input setup code, including the tooltip providing users with explanations on how it works for them. We make a simple call to request.security_lower_tf() to fetch the close values of intrabars, but we do not use those values. We simply send the returned array to `ltfStats()` and then plot in the indicator's pane the number of intrabars examined on each bar and its average. We also display an information box showing the user's selection of the ​LTF calculation mode, the resulting ​LTF calculated by `ltf()` and some statistics. █   NOTES  • As in several of our recent publications, this script uses secondsToTfString() to produce a timeframe string in timeframe.period format from a timeframe expressed in seconds.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • We implement a new recommended best practice for tables which works faster and reduces memory consumption.   Using this new method, tables are declared only once with var , as usual. Then, on bar zero only, we use table.cell() calls to populate the table.   Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.   This greatly reduces the resources required to render tables. We encourage all Pine Script™ programmers to do the same. Look first. Then leap. █   FUNCTIONS The library contains the following functions: ltf(userSelection, choice1, choice2, choice3, choice4, choice5, choice6, choice7, choice8)   Selects a ​LTF from the chart's TF, depending on the `userSelection` input string.   Parameters:      userSelection : (simple string) User-selected input string which must be one of the `choicex` arguments.      choice1 : (simple string) Input selection corresponding to "Least precise, covering most chart bars".      choice2 : (simple string) Input selection corresponding to "Less precise, covering some chart bars".      choice3 : (simple string) Input selection corresponding to "More precise, covering less chart bars".      choice4 : (simple string) Input selection corresponding to "Most precise, 1min intrabars".      choice5 : (simple string) Input selection corresponding to "~12 intrabars per chart bar".      choice6 : (simple string) Input selection corresponding to "~24 intrabars per chart bar".      choice7 : (simple string) Input selection corresponding to "~50 intrabars per chart bar".      choice8 : (simple string) Input selection corresponding to "~100 intrabars per chart bar".   Returns: (simple string) A timeframe string to be used with `request.security_lower_tf()`. ltfStats()   Returns statistics about analyzed intrabars and chart bars covered by calls to `request.security_lower_tf()`.   Parameters:      intrabarValues : (float [ ]) The ID of a float array containing values fetched by a call to `request.security_lower_tf()`.   Returns: A 3-element tuple: [ (series int) intrabarsInChartBar, (series int) chartBarsCovered, (series float) avgIntrabars ].
Pine Script® library
by PineCoders
14
Super PerformanceThe "Super Performance" script is a custom indicator written in Pine Script (version 6) for use on the TradingView platform. Its main purpose is to visually compare the performance of a selected stock or index against a benchmark index (default: NIFTYMIDSML400) over various timeframes, and to display sector-wise performance rankings in a clear, tabular format. Key Features: Customizable Display: Users can toggle between dark and light color themes, enable or disable extended data columns, and choose between a compact "Mini Mode" or a full-featured table view. Table positions and sizes are also configurable for both stock and sector tables. Performance Calculation: The script calculates percentage price changes for the selected stock and the benchmark index over multiple periods: 1, 5, 10, 20, 50, and 200 days. It then checks if the stock is outperforming the index for each period. Conviction Score: For each period where the stock outperforms the index, a "conviction score" is incremented. This score is mapped to qualitative labels such as "Super solid," "Solid," "Good," etc., and is color-coded for quick visual interpretation. Sector Performance Table: The script tracks 19 sector indices (e.g., REALTY, IT, PHARMA, AUTO, ENERGY) and calculates their performance over 1, 5, 10, 20, and 60-day periods. It then ranks the top 5 performing sectors for each timeframe and displays them in a sector performance table. Visual Output: Two tables are constructed: Stock Performance Table: Shows the stock's returns, index returns, outperformance markers (✔/✖), and the difference for each period, along with the overall conviction score. Sector Performance Table: Ranks and displays the top 5 sectors for each timeframe, with color-coded performance values for easy comparison.
Pine Script® indicator
by priteshmailbox
1
Seasonality DOW CombinedOverall Purpose This script analyzes historical daily returns based on two specific criteria: Month of the year (January through December) Day of the week (Sunday through Saturday) It summarizes and visually displays the average historical performance of the selected asset by these criteria over multiple years. Step-by-Step Breakdown 1. Initial Settings: Defines minimum year (i_year_start) from which data analysis will start. Ensures the user is using a daily timeframe, otherwise prompts an error. Sets basic display preferences like text size and color schemes. 2. Data Collection and Variables: Initializes matrices to store and aggregate returns data: month_data_ and month_agg_: store monthly performance. dow_data_ and dow_agg_: store day-of-week performance. COUNT tracks total number of occurrences, and COUNT_POSITIVE tracks positive-return occurrences. 3. Return Calculation: Calculates daily percentage change (chg_pct_) in price: chg_pct_ = close / close - 1 Ensures it captures this data only for the specified years (year >= i_year_start). 4. Monthly Performance Calculation: Each daily return is grouped by month: matrix.set updates total returns per month. The script tracks: Monthly cumulative returns Number of occurrences (how many days recorded per month) Positive occurrences (days with positive returns) 5. Day-of-Week Performance Calculation: Similarly, daily returns are also grouped by day-of-the-week (Sunday to Saturday): Daily return values are summed per weekday. The script tracks: Cumulative returns per weekday Number of occurrences per weekday Positive occurrences per weekday 6. Visual Display (Tables): The script creates two visual tables: Left Table: Monthly Performance. Right Table: Day-of-the-Week Performance. For each table, it shows: Yearly data for each month/day. Summaries at the bottom: SUM row: Shows total accumulated returns over all selected years for each month/day. +ive row: Shows percentage (%) of times the month/day had positive returns, along with a tooltip displaying positive occurrences vs total occurrences. Cells are color-coded: Green for positive returns. Red for negative returns. Gray for neutral/no change. 7. Interpreting the Tables: Monthly Table (left side): Helps identify seasonal patterns (e.g., historically bullish/bearish months). Day-of-Week Table (right side): Helps detect recurring weekday patterns (e.g., historically bullish Mondays or bearish Fridays). Practical Use: Traders use this to: Identify patterns based on historical data. Inform trading strategies, e.g., avoiding historically bearish days/months or leveraging historically bullish periods. Example Interpretation: If the table shows consistently green (positive) for March and April, historically the asset tends to perform well during spring. Similarly, if the "Friday" column is often red, historically Fridays are bearish for this asset.
Pine Script® indicator
by Colonelmoosefudge
The Echo System🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.
Pine Script® indicator
by elicruz2380
1
ATR Bands with ATR Cross + InfoTableOverview This Pine Script™ indicator is designed to enhance traders' ability to analyze market volatility, trend direction, and position sizing directly on their TradingView charts. By plotting Average True Range (ATR) bands anchored at the OHLC4 price, displaying crossover labels, and providing a comprehensive information table, this tool offers a multifaceted approach to technical analysis. Key Features: ATR Bands Anchored at OHLC4: Visual representation of short-term and long-term volatility bands centered around the average price. OHLC4 Dotted Line: A dotted line representing the average of Open, High, Low, and Close prices. ATR Cross Labels: Visual cues indicating when short-term volatility exceeds long-term volatility and vice versa. Information Table: Displays real-time data on market volatility, calculated position size based on risk parameters, and trend direction relative to the 20-period Smoothed Moving Average (SMMA). Purpose The primary purpose of this indicator is to: Assess Market Volatility: By comparing short-term and long-term ATR values, traders can gauge the current volatility environment. Determine Optimal Position Sizing: A calculated position size based on user-defined risk parameters helps in effective risk management. Identify Trend Direction: Comparing the current price to the 20-period SMMA assists in determining the prevailing market trend. Enhance Decision-Making: Visual cues and real-time data enable traders to make informed trading decisions with greater confidence. How It Works 1. ATR Bands Anchored at OHLC4 Average True Range (ATR) Calculations Short-Term ATR (SA): Calculated over a 9-period using ta.atr(9). Long-Term ATR (LA): Calculated over a 21-period using ta.atr(21). Plotting the Bands OHLC4 Dotted Line: Plotted using small circles to simulate a dotted line due to Pine Script limitations. ATR(9) Bands: Plotted in blue with semi-transparent shading. ATR(21) Bands: Plotted in orange with semi-transparent shading. Overlap: Bands can overlap, providing visual insights into changes in volatility. 2. ATR Cross Labels Crossover Detection: SA > LA: Indicates increasing short-term volatility. Detected using ta.crossover(SA, LA). A green upward label "SA>LA" is plotted below the bar. SA < LA: Indicates decreasing short-term volatility. Detected using ta.crossunder(SA, LA). A red downward label "SA LA, then the market is considered volatile. Display: Shows "Yes" or "No" based on the comparison. b. Position Size Calculation Risk Total Amount: User-defined input representing the total capital at risk. Risk per 1 Stock: User-defined input representing the risk associated with one unit of the asset. Purpose: Helps traders determine the appropriate position size based on their risk tolerance and current market volatility. c. Is Price > 20 SMMA? SMMA Calculation: Calculated using a 20-period Smoothed Moving Average with ta.rma(close, 20). Logic: If the current close price is above the SMMA, the trend is considered upward. Display: Shows "Yes" or "No" based on the comparison. How to Use Step 1: Add the Indicator to Your Chart Copy the Script: Copy the entire Pine Script code into the TradingView Pine Editor. Save and Apply: Save the script and click "Add to Chart." Step 2: Configure Inputs Risk Parameters: Adjust the "Risk Total Amount" and "Risk per 1 Stock" in the indicator settings to match your personal risk management strategy. Step 3: Interpret the Visuals ATR Bands Width of Bands: Wider bands indicate higher volatility; narrower bands indicate lower volatility. Band Overlap: Pay attention to areas where the blue and orange bands diverge or converge. OHLC4 Dotted Line Serves as a central reference point for the ATR bands. Helps visualize the average price around which volatility is measured. ATR Cross Labels "SA>LA" Label: Indicates short-term volatility is increasing relative to long-term volatility. May signal potential breakout or trend acceleration. "SA 20 SMMA? Use this to confirm trend direction before entering or exiting trades. Practical Example Imagine you are analyzing a stock and notice the following: ATR(9) Crosses Above ATR(21): A green "SA>LA" label appears. The info table shows "Yes" for "Is ATR-based price volatile." Position Size: Based on your risk parameters, the position size is calculated. Price Above 20 SMMA: The info table shows "Yes" for "Is price > 20 SMMA." Interpretation: The market is experiencing increasing short-term volatility. The trend is upward, as the price is above the 20 SMMA. You may consider entering a long position, using the calculated position size to manage risk. Customization Colors and Transparency: Adjust the colors of the bands and labels to suit your preferences. Risk Parameters: Modify the default values for risk amounts in the inputs. Moving Average Period: Change the SMMA period if desired. Limitations and Considerations Lagging Indicators: ATR and SMMA are lagging indicators and may not predict future price movements. Market Conditions: The effectiveness of this indicator may vary across different assets and market conditions. Risk of Overfitting: Relying solely on this indicator without considering other factors may lead to suboptimal trading decisions. Conclusion This indicator combines essential elements of technical analysis to provide a comprehensive tool for traders. By visualizing ATR bands anchored at the OHLC4, indicating volatility crossovers, and providing real-time data on position sizing and trend direction, it aids in making informed trading decisions. Whether you're a novice trader looking to understand market volatility or an experienced trader seeking to refine your strategy, this indicator offers valuable insights directly on your TradingView charts. Code Summary The script is written in Pine Script™ version 5 and includes: Calculations for OHLC4, ATRs, Bands, SMMA: Uses built-in functions like ta.atr() and ta.rma() for calculations. Plotting Functions: plotshape() for the OHLC4 dotted line. plot() and fill() for the ATR bands. Crossover Detection: ta.crossover() and ta.crossunder() for detecting ATR crosses. Labeling Crossovers: label.new() to place informative labels on the chart. Information Table Creation: table.new() to create the table. table.cell() to populate it with data. Acknowledgments ATR and SMMA Concepts: Built upon standard technical analysis concepts widely used in trading. Pine Script™: Leveraged the capabilities of Pine Script™ version 5 for advanced charting and analysis. Note: Always test any indicator thoroughly and consider combining it with other forms of analysis before making trading decisions. Trading involves risk, and past performance is not indicative of future results. Happy Trading!
Pine Script® indicator
by gpsintown
Triad Trade MatrixOverview Triad Trade Matrix is an advanced multi-strategy indicator built using Pine Script v5. It is designed to simultaneously track and display key trading metrics for three distinct trading styles on a single chart: Swing Trading (Swing Supreme): This mode captures longer-term trends and is designed for trades that typically span several days. It uses customizable depth and deviation parameters to determine swing signals. Day Trading (Day Blaze): This mode focuses on intraday price movements. It generates signals that are intended to be executed within a single trading session. The parameters for depth and deviation are tuned to capture more frequent, shorter-term moves. Scalping (Scalp Surge): This mode is designed for very short-term trades where quick entries and exits are key. It uses more sensitive parameters to detect rapid price movements suitable for scalping strategies. Each trading style is represented by its own merged table that displays real-time metrics. The tables update automatically as new trading signals are generated. Key Features Multi-Style Tracking: Swing Supreme (Large): For swing trading; uses a purple theme. Day Blaze (Medium): For day trading; uses an orange theme. Scalp Surge (Small): For scalping; uses a green theme. Real-Time Metrics: Each table displays key trade metrics including: Entry Price: The price at which the trade was entered. Exit Price: The price at which the previous trade was exited. Position Size: Calculated as the account size divided by the entry price. Direction: Indicates whether the trade is “Up” (long) or “Down” (short). Time: The time when the trade was executed (formatted to hours and minutes). Wins/Losses: The cumulative number of winning and losing trades. Current Price & PnL: The current price on the chart and the profit/loss computed relative to the entry price. Duration: The number of bars that the trade has been open. History Column: A merged summary column that shows the most recent trade’s details (entry, exit, and result). Customizability: Column Visibility: Users can toggle individual columns (Ticker, Timeframe, Entry, Exit, etc.) on or off according to their preference. Appearance Settings: You can customize the table border width, frame color, header background, and text colors. History Toggle: The merged history column can be enabled or disabled. Chart Markers: There is an option to show or hide chart markers (labels and lines) that indicate trade entries and exits on the chart. Trade History Management: The indicator maintains a rolling history (up to three recent trades per trading style) and displays the latest summary in the merged table. This history column provides a quick reference to recent performance. How It Works Signal Generation & Trade Metrics Trade Entry/Exit Calculation: For each trading style, the indicator uses built-in functions (such as ta.lowestbars and ta.highestbars) to analyze price movements. Based on a customizable "depth" and "deviation" parameter, it determines the point of entry for a trade. Swing Supreme: Uses larger depth/deviation values to capture swing trends. Day Blaze: Uses intermediate values for intraday moves. Scalp Surge: Uses tighter parameters to pick up rapid price changes. Metrics Update: When a new trade signal is generated (i.e., when the trade entry price is updated), the indicator calculates: The current PnL as the difference between the current price and the entry price (or vice versa, depending on the trade direction). The duration as the number of bars since the trade was opened. The position size using the formula: accountSize / entryPrice. History Recording: Each time a new trade is triggered (i.e., when the entry price is updated), a summary string is created (showing entry, exit, and win/loss status) and appended to the corresponding trade history array. The merged table then displays the latest summary from this history. Table Display Merged Table Structure: Each trading style (Swing Supreme, Day Blaze, and Scalp Surge) is represented by a table that has 15 columns. The columns are: Trade Type (e.g., Swing Supreme) Ticker Timeframe Entry Price Exit Price Position Size Direction Time of Entry Account Size Wins Losses Current Price Current PnL Duration (in bars) History (the latest trade summary) User Customization: Through the settings panel, users can choose which columns to display. If a column is toggled off, its cells will remain blank, allowing traders to focus on the metrics that matter most to them. Appearance & Themes: The table headers and cell backgrounds are customizable via color inputs. The trading style names are color-coded: Swing Supreme (Large): Uses a purple theme. Day Blaze (Medium): Uses an orange theme. Scalp Surge (Small): Uses a green theme. How to Use the Indicator Add the Indicator to Your Chart: Once published, add "Triad Trade Matrix" to your TradingView chart. Configure the Settings: Adjust the Account Size to match your trading capital. Use the Depth and Deviation inputs for each trading style to fine-tune the signal sensitivity. Toggle the Chart Markers on if you want visual entry/exit markers on the chart. Customize which columns are visible via the column visibility toggles. Enable or disable the History Column to show the merged trade history in the table. Adjust the appearance settings (colors, border width, etc.) to suit your chart background and preferences. Interpret the Tables: Swing Supreme: This table shows metrics for swing trades. Look for changes in entry price, PnL, and trade duration to monitor longer-term moves. Day Blaze: This table tracks day trading activity.It will update more frequently, reflecting intraday trends. Scalp Surge: This table is dedicated to scalping signals.Use it to see quick entry/exit data and rapid profit/loss changes. The History column (if enabled) gives you a snapshot of the most recent trade (e.g., "E:123.45 X:124.00 Up Win"). Use allerts: The indicator includes alert condition for new trade entries(both long and short)for each trading style. Summary: Triad Trade Matrix provides an robust,multi-dimensional view of your trading performance across swing trading, day trading, and scalping. Best to be used whith my other indicators True low high Vma Ext_Adv_CustomTbl This indicator is ideal for traders who wish to monitor multiple trading styles simultaneously, with a clear, technical, and real-time display of performance metrics. Happy Trading!
Pine Script® indicator
by MaximusGains
3
Argentum Flag [AGP] Ver.2.5Central Purpose and Concept The Argentum Flag script is a multifunctional tool that integrates and visualizes multiple key indicators to provide a detailed and unified perspective of the market. The core concept is to analyze price from different angles—volatility, volume, and momentum—to identify confluences and patterns that may be difficult to see with separate indicators. This "mashup" is not a simple fusion of indicators, but a strategic combination of tools that complement each other to offer a comprehensive view of asset behavior. Components and Their Functionality This script combines and visualizes the following elements: EMA Percentage Bands (EMA Bands): Uses an Exponential Moving Average (EMA) as a baseline. Calculates and draws several volatility bands that deviate from the central EMA by fixed percentages (0.47%, 0.94%, 2.36%). These bands are inspired by Fibonacci ratios and the cyclical nature of the market. The bands are colored with a dynamic gradient that reflects the current state of volatility. Utility: These bands act as dynamic support and resistance areas. The price entering or exiting these zones can indicate a change in volatility or a possible exhaustion of the movement. Volatility Signals (Vortex & Prime Signals): The script generates visual signals when the price stays outside the volatility bands for a specific number of bars. Vortex Signals (diamond ⍲): Appear when the price crosses and stays outside the Prime bands, suggesting a high volatility or a possible continuation of the trend. Exit/Entry Signals (circle ⌾): Are activated when the price stays outside the Vortex bands, indicating an extreme extension of volatility. These can be interpreted as potential reversal or profit-taking zones. Utility: They help traders quickly identify moments of high and low volatility and potential turning points in price action. Volume Analysis (Volume Bar Colors): The script changes the color of the bars based on the relationship between the current volume and the average volume over a 50-bar period. Utility: This feature allows the trader to immediately visualize the strength behind a price movement. For example, a bullish candle with "extreme" volume suggests strong buying interest, while a bearish candle with "low" volume could indicate a weak correction. Summary Tables (Dashboard): EMA-Fibo Table: Displays the values of 12 EMAs based on the Fibonacci sequence (5, 8, 13, 21...) in an easy-to-access table. The background color of each value indicates if the current price is above (bullish) or below (bearish) that EMA. Multi-Timeframe RSI Table: Displays the Relative Strength Index (RSI) values across multiple timeframes (from 1 minute to monthly). The text color changes to highlight if the RSI is in overbought (orange) or oversold (white) areas, according to the established levels. Utility: These tables condense a large amount of data into a simple format, allowing traders to perform a quick, multi-timeframe market analysis without constantly switching charts. How to Use the Script This script is a contextual analysis tool that works best when its different components are combined. It is not a "buy and sell signal" system on its own, but a tool for informed decision-making. Trend Identification: Use the EMA table to see the general trend direction across different timeframes. A price above most of the EMAs in the table suggests a bullish bias. Volatility Reading: Observe the EMA bands. If the price stays within the bands, volatility is low. A strong move that breaks out of the bands, accompanied by an "extreme" volume color (blue), suggests strong momentum that could continue. Momentum Analysis: Use the RSI table to confirm movements. An overbought 15m RSI could support a reversal signal from the Vortex bands, while a 1D RSI in a neutral zone may indicate that the main trend has not changed. Signal Confirmation: Visual signals (diamond and circle) should not be used in isolation. They must be confirmed by volume analysis and dashboard readings. For example, an "Exit Signal" (circle) with low volume may be less reliable than one with high volume and a clear reversal candle. Disclaimer This script is for informational and educational purposes only. It is not financial advice, nor is it a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance is not indicative of future results. The user is solely responsible for their own trading decisions.
Pine Script® indicator
by Andromedae
Relative Strength and MomentumRelative Strength and Momentum Indicator Unlock deeper market insights with the Relative Strength and Momentum Indicator—a powerful tool designed to help traders and investors identify the strongest stocks and sectors based on relative performance. This custom indicator displays essential information on relative strength and momentum for up to 15 different symbols, compared against a benchmark index, all within a clear and organized table format. Key Features: 1. Customizable Inputs: Choose up to 15 symbols to compare, along with a benchmark index, allowing you to tailor the indicator to your trading strategy. The 'Lookback Period' input defines how many weeks of data are analyzed for relative strength and momentum. 2. Relative Strength Calculation: For each selected symbol, the indicator calculates the Relative Strength (RS) against the chosen benchmark. This RS is further refined using an exponential moving average (EMA) to smooth the results, providing a more stable trend overview. 3. Momentum Analysis: Momentum is determined by analyzing the rate of change in relative strength. The indicator calculates a momentum rank for each symbol, based on its relative strength’s improvement or deterioration. 4. Percentile Ranking System: Each symbol is assigned a percentile rank (from 1 to 100) based on its relative strength compared to the others. Similarly, momentum rankings are also assigned from 1 to 100, offering a clear understanding of which assets are outperforming or underperforming. 5. Visual Indicators: a. Green: Signals improving or stable relative strength and momentum. b. Red: Indicates declining relative strength or momentum. c. Aqua: Highlights symbols performing well on both relative strength and momentum—ideal candidates for further analysis. 6. Two Clear Tables: a. Relative Strength Rank Table: Displays weekly rankings of relative strength for each symbol. b. Momentum Table: Shows momentum trends, helping you identify which symbols are gaining or losing strength. 7. Color-Coded for Easy Analysis: The tables are color-coded to make analysis quick and straightforward. A green color means the symbol is performing well in terms of relative strength or momentum, while red indicates weaker performance. Aqua marks symbols that are excelling in both areas. Use Case: a. Sector Comparison: Identify which sectors or indexes are showing both relative strength and momentum to pick high-potential stocks. This allows you to align with broader market trends for improved trade entries. b. Stock Selection: Quickly compare symbols within the same sector to find the stronger performers.
Pine Script® indicator
by PrasadJoshi12
15
analytics_tablesLibrary "analytics_tables" 📝 Description This library provides the implementation of several performance-related statistics and metrics, presented in the form of tables. The metrics shown in the afforementioned tables where developed during the past years of my in-depth analalysis of various strategies in an atempt to reason about the performance of each strategy. The visualization and some statistics where inspired by the existing implementations of the "Seasonality" script, and the performance matrix implementations of @QuantNomad and @ZenAndTheArtOfTrading scripts. While this library is meant to be used by my strategy framework "Template Trailing Strategy (Backtester)" script, I wrapped it in a library hoping this can be usefull for other community strategy scripts that will be released in the future. 🤔 How to Guide To use the functionality this library provides in your script you have to import it first! Copy the import statement of the latest release by pressing the copy button below and then paste it into your script. Give a short name to this library so you can refer to it later on. The import statement should look like this: import jason5480/analytics_tables/1 as ant There are three types of tables provided by this library in the initial release. The stats table the metrics table and the seasonality table. Each one shows different kinds of performance statistics. The table UDT shall be initialized once using the `init()` method. They can be updated using the `update()` method where the updated data UDT object shall be passed. The data UDT can also initialized and get updated on demend depending on the use case A code example for the StatsTable is the following: var ant.StatsData statsData = ant.StatsData.new() statsData.update(SideStats.new(), SideStats.new(), 0) if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed)) var statsTable = ant.StatsTable.new().init(ant.getTablePos('TOP', 'RIGHT')) statsTable.update(statsData) A code example for the MetricsTable is the following: var ant.StatsData statsData = ant.StatsData.new() statsData.update(ant.SideStats.new(), ant.SideStats.new(), 0) if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed)) var metricsTable = ant.MetricsTable.new().init(ant.getTablePos('BOTTOM', 'RIGHT')) metricsTable.update(statsData, 10) A code example for the SeasonalityTable is the following: var ant.SeasonalData seasonalData = ant.SeasonalData.new().init(Seasonality.monthOfYear) seasonalData.update() if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed)) var seasonalTable = ant.SeasonalTable.new().init(seasonalData, ant.getTablePos('BOTTOM', 'LEFT')) seasonalTable.update(seasonalData) 🏋️‍♂️ Please refer to the "EXAMPLE" regions of the script for more advanced and up to date code examples! Special thanks to @Mrcrbw for the proposal to develop this library and @DCNeu for the constructive feedback 🏆. getTablePos(ypos, xpos)   Get table position compatible string   Parameters:      ypos (simple string) : The position on y axise      xpos (simple string) : The position on x axise   Returns: The position to be passed to the table method init(this, pos, height, width, positiveTxtColor, negativeTxtColor, neutralTxtColor, positiveBgColor, negativeBgColor, neutralBgColor)   Initialize the stats table object with the given colors in the given position   Namespace types: StatsTable   Parameters:      this (StatsTable) : The stats table object      pos (simple string) : The table position string      height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells      width (simple float) : The width of the table as a percentage of the charts height. By default, 0 auto-adjusts the width based on the text inside the cells      positiveTxtColor (simple color) : The text color when positive      negativeTxtColor (simple color) : The text color when negative      neutralTxtColor (simple color) : The text color when neutral      positiveBgColor (simple color) : The background color with transparency when positive      negativeBgColor (simple color) : The background color with transparency when negative      neutralBgColor (simple color) : The background color with transparency when neutral method init(this, pos, height, width, neutralBgColor)   Initialize the metrics table object with the given colors in the given position   Namespace types: MetricsTable   Parameters:      this (MetricsTable) : The metrics table object      pos (simple string) : The table position string      height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells      width (simple float) : The width of the table as a percentage of the charts width. By default, 0 auto-adjusts the width based on the text inside the cells      neutralBgColor (simple color) : The background color with transparency when neutral method init(this, seas)   Initialize the seasonal data   Namespace types: SeasonalData   Parameters:      this (SeasonalData) : The seasonal data object      seas (simple Seasonality) : The seasonality of the matrix data method init(this, data, pos, maxNumOfYears, height, width, extended, neutralTxtColor, neutralBgColor)   Initialize the seasonal table object with the given colors in the given position   Namespace types: SeasonalTable   Parameters:      this (SeasonalTable) : The seasonal table object      data (SeasonalData) : The seasonality data of the table      pos (simple string) : The table position string      maxNumOfYears (simple int) : The maximum number of years that fit into the table      height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells      width (simple float) : The width of the table as a percentage of the charts width. By default, 0 auto-adjusts the width based on the text inside the cells      extended (simple bool) : The seasonal table with extended columns for performance      neutralTxtColor (simple color) : The text color when neutral      neutralBgColor (simple color) : The background color with transparency when neutral method update(this, wins, losses, numOfInconclusiveExits)   Update the strategy info data of the strategy   Namespace types: StatsData   Parameters:      this (StatsData) : The strategy statistics object      wins (SideStats)      losses (SideStats)      numOfInconclusiveExits (int) : The number of inconclusive trades method update(this, stats, positiveTxtColor, negativeTxtColor, negativeBgColor, neutralBgColor)   Update the stats table object with the given data   Namespace types: StatsTable   Parameters:      this (StatsTable) : The stats table object      stats (StatsData) : The stats data to update the table      positiveTxtColor (simple color) : The text color when positive      negativeTxtColor (simple color) : The text color when negative      negativeBgColor (simple color) : The background color with transparency when negative      neutralBgColor (simple color) : The background color with transparency when neutral method update(this, stats, buyAndHoldPerc, positiveTxtColor, negativeTxtColor, positiveBgColor, negativeBgColor)   Update the metrics table object with the given data   Namespace types: MetricsTable   Parameters:      this (MetricsTable) : The metrics table object      stats (StatsData) : The stats data to update the table      buyAndHoldPerc (float) : The buy and hold percetage      positiveTxtColor (simple color) : The text color when positive      negativeTxtColor (simple color) : The text color when negative      positiveBgColor (simple color) : The background color with transparency when positive      negativeBgColor (simple color) : The background color with transparency when negative method update(this)   Update the seasonal data based on the season and eon timeframe   Namespace types: SeasonalData   Parameters:      this (SeasonalData) : The seasonal data object method update(this, data, positiveTxtColor, negativeTxtColor, neutralTxtColor, positiveBgColor, negativeBgColor, neutralBgColor, timeBgColor)   Update the seasonal table object with the given data   Namespace types: SeasonalTable   Parameters:      this (SeasonalTable) : The seasonal table object      data (SeasonalData) : The seasonal cell data to update the table      positiveTxtColor (simple color) : The text color when positive      negativeTxtColor (simple color) : The text color when negative      neutralTxtColor (simple color) : The text color when neutral      positiveBgColor (simple color) : The background color with transparency when positive      negativeBgColor (simple color) : The background color with transparency when negative      neutralBgColor (simple color) : The background color with transparency when neutral      timeBgColor (simple color) : The background color of the time gradient SideStats   Object that represents the strategy statistics data of one side win or lose   Fields:      numOf (series int)      sumFreeProfit (series float)      freeProfitStDev (series float)      sumProfit (series float)      profitStDev (series float)      sumGain (series float)      gainStDev (series float)      avgQuantityPerc (series float)      avgCapitalRiskPerc (series float)      avgTPExecutedCount (series float)      avgRiskRewardRatio (series float)      maxStreak (series int) StatsTable   Object that represents the stats table   Fields:      table (series table) : The actual table      rows (series int) : The number of rows of the table      columns (series int) : The number of columns of the table StatsData   Object that represents the statistics data of the strategy   Fields:      wins (SideStats)      losses (SideStats)      numOfInconclusiveExits (series int)      avgFreeProfitStr (series string)      freeProfitStDevStr (series string)      lossFreeProfitStDevStr (series string)      avgProfitStr (series string)      profitStDevStr (series string)      lossProfitStDevStr (series string)      avgQuantityStr (series string) MetricsTable   Object that represents the metrics table   Fields:      table (series table) : The actual table      rows (series int) : The number of rows of the table      columns (series int) : The number of columns of the table SeasonalData   Object that represents the seasonal table dynamic data   Fields:      seasonality (series Seasonality)      eonToMatrixRow (map)      numOfEons (series int)      mostRecentMatrixRow (series int)      balances (matrix)      returnPercs (matrix)      maxDDs (matrix)      eonReturnPercs (array)      eonCAGRs (array)      eonMaxDDs (array) SeasonalTable   Object that represents the seasonal table   Fields:      table (series table) : The actual table      headRows (series int) : The number of head rows of the table      headColumns (series int) : The number of head columns of the table      eonRows (series int) : The number of eon rows of the table      seasonColumns (series int) : The number of season columns of the table      statsRows (series int)      statsColumns (series int) : The number of stats columns of the table      rows (series int) : The number of rows of the table      columns (series int) : The number of columns of the table      extended (series bool) : Whether the table has additional performance statistics
Pine Script® library
by jason5480
DebugLibrary "Debug" Some debugging functions. label_on_each_bar(txt, y_position, label_size, label_color, txt_color)   Prints a label on every bar to show text. By default, only the last 50 labels will be shown on the chart. You can increase this amount up to a maximum of 500 by using the max_labels_count parameter in your script’s indicator() or strategy() declaration statement.   Parameters:      txt (string) : New label text.      y_position (float) : New price of the label position.      label_size (string) : Possible values: size.auto, size.tiny, size.small, size.normal, size.large, size.huge. Optional. Default value is `size.small`.      label_color (color) : New label border and arrow color. Optional. Default value is `color.blue`.      txt_color (color) : New text color. Optional. Default value is `color.white`.   Returns: void label_on_last_bar(txt, y_position, label_size, label_color, txt_color, txt_align)   Prints one label at last bar to show text.   Parameters:      txt (string) : New label text.      y_position (float) : New price of the label position.      label_size (string) : Possible values: size.auto, size.tiny, size.small, size.normal, size.large, size.huge. Optional. Default value is `size.large`.      label_color (color) : New label border and arrow color. Optional. Default value is `color.blue`.      txt_color (color) : New text color. Optional. Default value is `color.white`.      txt_align (string) : Label text alignment. Optional. Possible values: text.align_left, text.align_center, text.align_right. Default value is `text.align_center`.   Returns: void table_symbol_informations(table_position, table_color, text_color)   Prints a table to show all the Symbol information, including its function names.   Parameters:      table_position (string) : Position of the table. Optional. Possible values are: position.top_left, position.top_center, position.top_right, position.middle_left, position.middle_center, position.middle_right, position.bottom_left, position.bottom_center, position.bottom_right. Default value is `position.middle_right`.      table_color (color) : The background color of the table. Optional. The default is `color.yellow`.      text_color (color) : The color of the text. Optional. The default is `color.black`.   Returns: void table_array_float(array_float, table_columns, table_rows, table_position, table_color, txt_color, txt_size)   Prints a table to show float values of an array.   Parameters:      array_float (float ) : The array that will be showed.      table_columns (int)      table_rows (int) : The number of rows to show the values.      table_position (string) : Position of the table. Optional. Possible values are: position.top_left, position.top_center, position.top_right, position.middle_left, position.middle_center, position.middle_right, position.bottom_left, position.bottom_center, position.bottom_right. Default value is `position.bottom_center`.      table_color (color) : The background color of the table. Optional. By default there is no color.      txt_color (color)      txt_size (string) : Possible values: size.auto, size.tiny, size.small, size.normal, size.large, size.huge. Optional. Default value is `size.normal`.   Returns: void table_array_int(array_float, table_columns, table_rows, table_position, table_color, txt_color, txt_size)   Prints a table to show int values of an array.   Parameters:      array_float (int ) : The array that will be showed.      table_columns (int)      table_rows (int) : The number of rows to show the values.      table_position (string) : Position of the table. Optional. Possible values are: position.top_left, position.top_center, position.top_right, position.middle_left, position.middle_center, position.middle_right, position.bottom_left, position.bottom_center, position.bottom_right. Default value is `position.bottom_center`.      table_color (color) : The background color of the table. Optional. By default there is no color.      txt_color (color)      txt_size (string) : Possible values: size.auto, size.tiny, size.small, size.normal, size.large, size.huge. Optional. Default value is `size.normal`.   Returns: void
Pine Script® library
by weak_hand
order block new 113/// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org // © RUDYBANK INDICATOR - formerly know as RUDY INDICATOR //@version=5 indicator("Price Action Concepts ", shorttitle = "RUDYINDICATOR-V1 - Price Action RUDYINDICATOR ", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100) //-----------------------------------------------------------------------------{ //Boolean set //-----------------------------------------------------------------------------{ s_BOS = 0 s_CHoCH = 1 i_BOS = 2 i_CHoCH = 3 i_pp_CHoCH = 4 green_candle = 5 red_candle = 6 s_CHoCHP = 7 i_CHoCHP = 8 boolean = array.from( false , false , false , false , false , false , false , false , false ) //-----------------------------------------------------------------------------{ // User inputs //-----------------------------------------------------------------------------{ show_swing_ms = input.string ("All" , "Swing        " , inline = "1", group = "MARKET STRUCTURE" , options = ) show_internal_ms = input.string ("All" , "Internal     " , inline = "2", group = "MARKET STRUCTURE" , options = ) internal_r_lookback = input.int (5 , "" , inline = "2", group = "MARKET STRUCTURE" , minval = 2) swing_r_lookback = input.int (50 , "" , inline = "1", group = "MARKET STRUCTURE" , minval = 2) ms_mode = input.string ("Manual" , "Market Structure Mode" , inline = "a", group = "MARKET STRUCTURE" , tooltip = " Use selected lenght\n Use automatic lenght" ,options = ) show_mtf_str = input.bool (true , "MTF Scanner" , inline = "9", group = "MARKET STRUCTURE" , tooltip = "Display Multi-Timeframe Market Structure Trend Directions. Green = Bullish. Red = Bearish") show_eql = input.bool (false , "Show EQH/EQL" , inline = "6", group = "MARKET STRUCTURE") plotcandle_bool = input.bool (false , "Plotcandle" , inline = "3", group = "MARKET STRUCTURE" , tooltip = "Displays a cleaner colored candlestick chart in place of the default candles. (requires hiding the current ticker candles)") barcolor_bool = input.bool (false , "Bar Color" , inline = "4", group = "MARKET STRUCTURE" , tooltip = "Color the candle bodies according to market strucutre trend") i_ms_up_BOS = input.color (#089981 , "" , inline = "2", group = "MARKET STRUCTURE") i_ms_dn_BOS = input.color (#f23645 , "" , inline = "2", group = "MARKET STRUCTURE") s_ms_up_BOS = input.color (#089981 , "" , inline = "1", group = "MARKET STRUCTURE") s_ms_dn_BOS = input.color (#f23645 , "" , inline = "1", group = "MARKET STRUCTURE") lvl_daily = input.bool (false , "Day   " , inline = "1", group = "HIGHS & LOWS MTF") lvl_weekly = input.bool (false , "Week " , inline = "2", group = "HIGHS & LOWS MTF") lvl_monthly = input.bool (false , "Month" , inline = "3", group = "HIGHS & LOWS MTF") lvl_yearly = input.bool (false , "Year  " , inline = "4", group = "HIGHS & LOWS MTF") css_d = input.color (color.blue , "" , inline = "1", group = "HIGHS & LOWS MTF") css_w = input.color (color.blue , "" , inline = "2", group = "HIGHS & LOWS MTF") css_m = input.color (color.blue , "" , inline = "3", group = "HIGHS & LOWS MTF") css_y = input.color (color.blue , "" , inline = "4", group = "HIGHS & LOWS MTF") s_d = input.string ('⎯⎯⎯' , '' , inline = '1', group = 'HIGHS & LOWS MTF' , options = ) s_w = input.string ('⎯⎯⎯' , '' , inline = '2', group = 'HIGHS & LOWS MTF' , options = ) s_m = input.string ('⎯⎯⎯' , '' , inline = '3', group = 'HIGHS & LOWS MTF' , options = ) s_y = input.string ('⎯⎯⎯' , '' , inline = '4', group = 'HIGHS & LOWS MTF' , options = ) ob_show = input.bool (true , "Show Last    " , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volumetric order blocks on the chart \n\n Ammount of volumetric order blocks to show") ob_num = input.int (5 , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Orderblocks number", minval = 1, maxval = 10) ob_metrics_show = input.bool (true , "Internal Buy/Sell Activity" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volume metrics that have formed the orderblock") css_metric_up = input.color (color.new(#089981, 50) , "         " , inline = "2", group = "VOLUMETRIC ORDER BLOCKS") css_metric_dn = input.color (color.new(#f23645 , 50) , "" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS") ob_swings = input.bool (false , "Swing Order Blocks" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display swing volumetric order blocks") css_swing_up = input.color (color.new(color.gray , 90) , "                 " , inline = "a", group = "VOLUMETRIC ORDER BLOCKS") css_swing_dn = input.color (color.new(color.silver, 90) , "" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS") ob_filter = input.string ("None" , "Filtering             " , inline = "d", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Filter out volumetric order blocks by BOS/CHoCH/CHoCH+", options = ) ob_mitigation = input.string ("Absolute" , "Mitigation           " , inline = "4", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Trigger to remove volumetric order blocks", options = ) ob_pos = input.string ("Precise" , "Positioning          " , inline = "k", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Position of the Order Block\n Cover the whole candle\n Cover half candle\n Adjust to volatility\n Same as Accurate but more precise", options = ) use_grayscale = input.bool (false , "Grayscale" , inline = "6", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Use gray as basic order blocks color") use_show_metric = input.bool (true , "Show Metrics" , inline = "7", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show volume associated with the orderblock and his relevance") use_middle_line = input.bool (true , "Show Middle-Line" , inline = "8", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show mid-line order blocks") use_overlap = input.bool (true , "Hide Overlap" , inline = "9", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Hide overlapping order blocks") use_overlap_method = input.string ("Previous" , "Overlap Method    " , inline = "Z", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = " Preserve the most recent volumetric order blocks\n\n Preserve the previous volumetric order blocks", options = ) ob_bull_css = input.color (color.new(#089981 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS") ob_bear_css = input.color (color.new(#f23645 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS") show_acc_dist_zone = input.bool (false , "" , inline = "1", group = "Accumulation And Distribution") zone_mode = input.string ("Fast" , "" , inline = "1", group = "Accumulation And Distribution" , tooltip = " Find small zone pattern formation\n Find bigger zone pattern formation" ,options = ) acc_css = input.color (color.new(#089981 , 60) , "" , inline = "1", group = "Accumulation And Distribution") dist_css = input.color (color.new(#f23645 , 60) , "" , inline = "1", group = "Accumulation And Distribution") show_lbl = input.bool (false , "Show swing point" , inline = "1", group = "High and Low" , tooltip = "Display swing point") show_mtb = input.bool (false , "Show High/Low/Equilibrium" , inline = "2", group = "High and Low" , tooltip = "Display Strong/Weak High And Low and Equilibrium") toplvl = input.color (color.red , "Premium Zone   " , inline = "3", group = "High and Low") midlvl = input.color (color.gray , "Equilibrium Zone" , inline = "4", group = "High and Low") btmlvl = input.color (#089981 , "Discount Zone    " , inline = "5", group = "High and Low") fvg_enable = input.bool (false , "        " , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap") what_fvg = input.string ("FVG" , "" , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap", options = ) fvg_num = input.int (5 , "Show Last  " , inline = "1a", group = "FAIR VALUE GAP" , tooltip = "Number of fvg to show") fvg_upcss = input.color (color.new(#089981, 80) , "" , inline = "1", group = "FAIR VALUE GAP") fvg_dncss = input.color (color.new(color.red , 80) , "" , inline = "1", group = "FAIR VALUE GAP") fvg_extend = input.int (10 , "Extend FVG" , inline = "2", group = "FAIR VALUE GAP" , tooltip = "Extend the display of the FVG.") fvg_src = input.string ("Close" , "Mitigation  " , inline = "3", group = "FAIR VALUE GAP" , tooltip = " Use the close of the body as trigger\n\n Use the extreme point of the body as trigger", options = ) fvg_tf = input.timeframe ("" , "Timeframe " , inline = "4", group = "FAIR VALUE GAP" , tooltip = "Timeframe of the fair value gap") t = color.t (ob_bull_css) invcol = color.new (color.white , 100) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - UDT } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} type bar float o = open float c = close float h = high float l = low float v = volume int n = bar_index int t = time type Zphl line top line bottom label top_label label bottom_label bool stopcross bool sbottomcross bool itopcross bool ibottomcross string txtup string txtdn float topy float bottomy float topx float bottomx float tup float tdn int tupx int tdnx float itopy float itopx float ibottomy float ibottomx float uV float dV type FVG box box line ln bool bull float top float btm int left int right type ms float p int n float l type msDraw int n float p color css string txt bool bull type obC float top float btm int left float avg float dV float cV int wM int blVP int brVP int dir float h float l int n type obD box ob box eOB box blB box brB line mL type zone chart.point points float p int c int t type hqlzone box pbx box ebx box lbx label plb label elb label lbl type ehl float pt int t float pb int b type pattern string found = "None" bool isfound = false int period = 0 bool bull = false type alerts bool chochswing = false bool chochplusswing = false bool swingbos = false bool chochplus = false bool choch = false bool bos = false bool equal = false bool ob = false bool swingob = false bool zone = false bool fvg = false bool obtouch = false //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - General Setup } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} bar b = bar.new() var pattern p = pattern.new() alerts blalert = alerts.new() alerts bralert = alerts.new() if p.isfound p.period += 1 if p.period == 50 p.period := 0 p.found := "None" p.isfound := false p.bull := na switch b.c > b.o => boolean.set(green_candle, true) b.c < b.o => boolean.set(red_candle , true) f_zscore(src, lookback) => (src - ta.sma(src, lookback)) / ta.stdev(src, lookback) var int iLen = internal_r_lookback var int sLen = swing_r_lookback vv = f_zscore(((close - close ) / close ) * 100,iLen) if ms_mode == "Dynamic" switch vv >= 1.5 or vv <= -1.5 => iLen := 10 vv >= 1.6 or vv <= -1.6 => iLen := 9 vv >= 1.7 or vv <= -1.7 => iLen := 8 vv >= 1.8 or vv <= -1.8 => iLen := 7 vv >= 1.9 or vv <= -1.9 => iLen := 6 vv >= 2.0 or vv <= -2.0 => iLen := 5 => iLen var msline = array.new(0) iH = ta.pivothigh(high, iLen, iLen) sH = ta.pivothigh(high, sLen, sLen) iL = ta.pivotlow (low , iLen, iLen) sL = ta.pivotlow (low , sLen, sLen) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - ARRAYS } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} hl () => = request.security(syminfo.tickerid , 'D' , hl() , lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid , 'W' , hl() , lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid , 'M' , hl() , lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid , '12M', hl() , lookahead = barmerge.lookahead_on) lstyle(style) => out = switch style '⎯⎯⎯' => line.style_solid '----' => line.style_dashed '····' => line.style_dotted mtfphl(h, l ,tf ,css, pdhl_style) => var line hl = line.new( na , na , na , na , xloc = xloc.bar_time , color = css , style = lstyle(pdhl_style) ) var line ll = line.new( na , na , na , na , xloc = xloc.bar_time , color = css , style = lstyle(pdhl_style) ) var label lbl = label.new( na , na , xloc = xloc.bar_time , text = str.format('P{0}L', tf) , color = invcol , textcolor = css , size = size.small , style = label.style_label_left ) var label hlb = label.new( na , na , xloc = xloc.bar_time , text = str.format('P{0}H', tf) , color = invcol , textcolor = css , size = size.small , style = label.style_label_left ) hy = ta.valuewhen(h != h , h , 1) hx = ta.valuewhen(h == high , time , 1) ly = ta.valuewhen(l != l , l , 1) lx = ta.valuewhen(l == low , time , 1) if barstate.islast extension = time + (time - time ) * 50 line.set_xy1(hl , hx , hy) line.set_xy2(hl , extension , hy) label.set_xy(hlb, extension , hy) line.set_xy1(ll , lx , ly) line.set_xy2(ll , extension , ly) label.set_xy(lbl, extension , ly) if lvl_daily mtfphl(pdh , pdl , 'D' , css_d, s_d) if lvl_weekly mtfphl(pwh , pwl , 'W' , css_w, s_w) if lvl_monthly mtfphl(pmh , pml, 'M' , css_m, s_m) if lvl_yearly mtfphl(pyh , pyl , '12M', css_y, s_y) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - Market Structure } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} method darkcss(color css, float factor, bool bull) => blue = color.b(css) * (1 - factor) red = color.r(css) * (1 - factor) green = color.g(css) * (1 - factor) color.rgb(red, green, blue, 0) method f_line(msDraw d, size, style) => var line id = na var label lbl = na id := line.new( d.n , d.p , b.n , d.p , color = d.css , width = 1 , style = style ) if msline.size() >= 250 line.delete(msline.shift()) msline.push(id) lbl := label.new( int(math.avg(d.n, b.n)) , d.p , d.txt , color = invcol , textcolor = d.css , style = d.bull ? label.style_label_down : label.style_label_up , size = size , text_font_family = font.family_monospace ) structure(bool mtf) => msDraw drw = na bool isdrw = false bool isdrwS = false var color css = na var color icss = na var int itrend = 0 var int trend = 0 bool bull_ob = false bool bear_ob = false bool s_bull_ob = false bool s_bear_ob = false n = bar_index var ms up = ms.new( array.new() , array.new< int >() , array.new() ) var ms dn = ms.new( array.new() , array.new< int >() , array.new() ) var ms sup = ms.new( array.new() , array.new< int >() , array.new() ) var ms sdn = ms.new( array.new() , array.new< int >() , array.new() ) switch show_swing_ms "All" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, true ) "CHoCH" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, false ) "CHoCH+" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, true ) "BOS" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false ) "None" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false ) => na switch show_internal_ms "All" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, true ) "CHoCH" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, false) "CHoCH+" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, true ) "BOS" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false) "None" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false) => na switch iH => up.p.unshift(b.h ) up.l.unshift(b.h ) up.n.unshift(n ) iL => dn.p.unshift(b.l ) dn.l.unshift(b.l ) dn.n.unshift(n ) sL => sdn.p.unshift(b.l ) sdn.l.unshift(b.l ) sdn.n.unshift(n ) sH => sup.p.unshift(b.h ) sup.l.unshift(b.h ) sup.n.unshift(n ) // INTERNAL BULLISH STRUCTURE if up.p.size() > 0 and dn.l.size() > 1 if ta.crossover(b.c, up.p.first()) bool CHoCH = na string txt = na if itrend < 0 CHoCH := true switch not CHoCH => txt := "BOS" css := i_ms_up_BOS blalert.bos := true if boolean.get(i_BOS) and mtf == false and na(drw) isdrw := true drw := msDraw.new( up.n.first() , up.p.first() , i_ms_up_BOS , txt , true ) CHoCH => dn.l.first() > dn.l.get(1) ? blalert.chochplus : blalert.choch txt := dn.l.first() > dn.l.get(1) ? "CHoCH+" : "CHoCH" css := i_ms_up_BOS.darkcss(0.25, true) if (dn.l.first() > dn.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw) isdrw := true drw := msDraw.new( up.n.first() , up.p.first() , i_ms_up_BOS.darkcss(0.25, true) , txt , true ) if mtf == false switch ob_filter == "None" => bull_ob := true ob_filter == "BOS" and txt == "BOS" => bull_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => bull_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => bull_ob := true itrend := 1 up.n.clear() up.p.clear() // INTERNAL BEARISH STRUCTURE if dn.p.size() > 0 and up.l.size() > 1 if ta.crossunder(b.c, dn.p.first()) bool CHoCH = na string txt = na if itrend > 0 CHoCH := true switch not CHoCH => bralert.bos := true txt := "BOS" css := i_ms_dn_BOS if boolean.get(i_BOS) and mtf == false and na(drw) isdrw := true drw := msDraw.new( dn.n.first() , dn.p.first() , i_ms_dn_BOS , txt , false ) CHoCH => if up.l.first() < up.l.get(1) bralert.chochplus := true else bralert.choch := true txt := up.l.first() < up.l.get(1) ? "CHoCH+" : "CHoCH" css := i_ms_dn_BOS.darkcss(0.25, false) if (up.l.first() < up.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw) isdrw := true drw := msDraw.new( dn.n.first() , dn.p.first() , i_ms_dn_BOS.darkcss(0.25, false) , txt , false ) if mtf == false switch ob_filter == "None" => bear_ob := true ob_filter == "BOS" and txt == "BOS" => bear_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => bear_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => bear_ob := true itrend := -1 dn.n.clear() dn.p.clear() // SWING BULLISH STRUCTURE if sup.p.size() > 0 and sdn.l.size() > 1 if ta.crossover(b.c, sup.p.first()) bool CHoCH = na string txt = na if trend < 0 CHoCH := true switch not CHoCH => blalert.swingbos := true txt := "BOS" icss := s_ms_up_BOS if boolean.get(s_BOS) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sup.n.first() , sup.p.first() , s_ms_up_BOS , txt , true ) CHoCH => if sdn.l.first() > sdn.l.get(1) blalert.chochplusswing := true else blalert.chochswing := true txt := sdn.l.first() > sdn.l.get(1) ? "CHoCH+" : "CHoCH" icss := s_ms_up_BOS.darkcss(0.25, true) if (sdn.l.first() > sdn.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sup.n.first() , sup.p.first() , s_ms_up_BOS.darkcss(0.25, true) , txt , true ) if mtf == false switch ob_filter == "None" => s_bull_ob := true ob_filter == "BOS" and txt == "BOS" => s_bull_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => s_bull_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bull_ob := true trend := 1 sup.n.clear() sup.p.clear() // SWING BEARISH STRUCTURE if sdn.p.size() > 0 and sup.l.size() > 1 if ta.crossunder(b.c, sdn.p.first()) bool CHoCH = na string txt = na if trend > 0 CHoCH := true switch not CHoCH => bralert.swingbos := true txt := "BOS" icss := s_ms_dn_BOS if boolean.get(s_BOS) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sdn.n.first() , sdn.p.first() , s_ms_dn_BOS , txt , false ) CHoCH => if sup.l.first() < sup.l.get(1) bralert.chochplusswing := true else bralert.chochswing := true txt := sup.l.first() < sup.l.get(1) ? "CHoCH+" : "CHoCH" icss := s_ms_dn_BOS.darkcss(0.25, false) if (sup.l.first() < sup.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sdn.n.first() , sdn.p.first() , s_ms_dn_BOS.darkcss(0.25, false) , txt , false ) if mtf == false switch ob_filter == "None" => s_bear_ob := true ob_filter == "BOS" and txt == "BOS" => s_bear_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => s_bear_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bear_ob := true trend := -1 sdn.n.clear() sdn.p.clear() = structure(false) if isdrw f_line(drw, size.small, line.style_dashed) if isdrwS f_line(drw, size.small, line.style_solid) = request.security("", "15" , structure(true)) = request.security("", "60" , structure(true)) = request.security("", "240" , structure(true)) = request.security("", "1440" , structure(true)) if show_mtf_str var tab = table.new(position = position.top_right, columns = 10, rows = 10, bgcolor = na, frame_color = color.rgb(54, 58, 69, 0), frame_width = 1, border_color = color.rgb(54, 58, 69, 100), border_width = 1) table.cell(tab, 0, 1, text = "15" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 0, 2, text = "1H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 0, 3, text = "4H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 0, 4, text = "1D" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 1, 1, text = itrend15 == 1 ? "BULLISH" : itrend15 == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend15 == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend15 == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 1, 2, text = itrend1H == 1 ? "BULLISH" : itrend1H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 1, 3, text = itrend4H == 1 ? "BULLISH" : itrend4H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend4H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend4H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 1, 4, text = itrend1D == 1 ? "BULLISH" : itrend1D == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1D == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1D == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 0, 5, text = "Detected Pattern", text_halign = text.align_center, text_size = size.normal, text_color = color.silver, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 0, 6, text = p.found, text_halign = text.align_center, text_size = size.normal, text_color = na(p.bull) ? color.white : p.bull ? i_ms_up_BOS.darkcss(-0.25, true) : p.bull == false ? i_ms_dn_BOS.darkcss(0.25, false) : na, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.merge_cells(tab, 0, 5, 1, 5) table.merge_cells(tab, 0, 6, 1, 6) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - Strong/Weak High/Low And Equilibrium } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} var phl = Zphl.new( na , na , label.new(na , na , color = invcol , textcolor = i_ms_dn_BOS , style = label.style_label_down , size = size.tiny , text = "") , label.new(na , na , color = invcol , textcolor = i_ms_up_BOS , style = label.style_label_up , size = size.tiny , text = "") , true , true , true , true , "" , "" , 0 , 0 , 0 , 0 , high , low , 0 , 0 , 0 , 0 , 0 , 0 , na , na ) zhl(len)=> upper = ta.highest(len) lower = ta.lowest(len) var float out = 0 out := b.h > upper ? 0 : b.l < lower ? 1 : out top = out == 0 and out != 0 ? b.h : 0 btm = out == 1 and out != 1 ? b.l : 0 = zhl(sLen) = zhl(iLen) upphl(trend) => var label lbl = label.new( na , na , color = invcol , textcolor = toplvl , style = label.style_label_down , size = size.small ) if top phl.stopcross := true phl.txtup := top > phl.topy ? "HH" : "HL" if show_lbl topl = label.new( b.n - swing_r_lookback , top , phl.txtup , color = invcol , textcolor = toplvl , style = label.style_label_down , size = size.small ) line.delete(phl.top ) phl.top := line.new( b.n - sLen , top , b.n , top , color = toplvl) phl.topy := top phl.topx := b.n - sLen phl.tup := top phl.tupx := b.n - sLen if itop phl.itopcross := true phl.itopy := itop phl.itopx := b.n - iLen phl.tup := math.max(high, phl.tup) phl.tupx := phl.tup == high ? b.n : phl.tupx phl.uV := phl.tup != phl.tup ? b.v : phl.uV if barstate.islast line.set_xy1( phl.top , phl.tupx , phl.tup ) line.set_xy2( phl.top , b.n + 50 , phl.tup ) label.set_x( lbl , b.n + 50 ) label.set_y( lbl , phl.tup ) dist = math.abs(phl.uV / (phl.uV + phl.dV)) * 100 label.set_text (lbl, trend < 0 ? "Strong High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)" : "Weak High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)") dnphl(trend) => var label lbl = label.new( na , na , color = invcol , textcolor = btmlvl , style = label.style_label_up , size = size.small ) if btm phl.sbottomcross := true phl.txtdn := btm > phl.bottomy ? "LH" : "LL" if show_lbl btml = label.new( b.n - swing_r_lookback , btm, phl.txtdn , color = invcol , textcolor = btmlvl , style = label.style_label_up , size = size.small ) line.delete(phl.bottom ) phl.bottom := line.new( b.n - sLen , btm , b.n , btm , color = btmlvl ) phl.bottomy := btm phl.bottomx := b.n - sLen phl.tdn := btm phl.tdnx := b.n - sLen if ibtm phl.ibottomcross := true phl.ibottomy := ibtm phl.ibottomx := b.n - iLen phl.tdn := math.min(low, phl.tdn) phl.tdnx := phl.tdn == low ? b.n : phl.tdnx phl.dV := phl.tdn != phl.tdn ? b.v : phl.dV if barstate.islast line.set_xy1( phl.bottom , phl.tdnx , phl.tdn ) line.set_xy2( phl.bottom , b.n + 50 , phl.tdn ) label.set_x( lbl , b.n + 50 ) label.set_y( lbl , phl.tdn ) dist = math.abs(phl.dV / (phl.uV + phl.dV)) * 100 label.set_text (lbl, trend > 0 ? "Strong Low | " + str.tostring(phl.dV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)" : "Weak Low | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)") midphl() => avg = math.avg(phl.bottom.get_y2(), phl.top.get_y2()) var line l = line.new( y1 = avg , y2 = avg , x1 = b.n - sLen , x2 = b.n + 50 , color = midlvl , style = line.style_solid ) var label lbl = label.new( x = b.n + 50 , y = avg , text = "Equilibrium" , style = label.style_label_left , color = invcol , textcolor = midlvl , size = size.small ) if barstate.islast more = (phl.bottom.get_x1() + phl.bottom.get_x2()) > (phl.top.get_x1() + phl.top.get_x2()) ? phl.top.get_x1() : phl.bottom.get_x1() line.set_xy1(l , more , avg) line.set_xy2(l , b.n + 50, avg) label.set_x (lbl , b.n + 50 ) label.set_y (lbl , avg ) dist = math.abs((l.get_y2() - close) / close) * 100 label.set_text (lbl, "Equilibrium (" + str.tostring(math.round(dist,0)) + "%)") hqlzone() => if barstate.islast var hqlzone dZone = hqlzone.new( box.new( na , na , na , na , bgcolor = color.new(toplvl, 70) , border_color = na ) , box.new( na , na , na , na , bgcolor = color.new(midlvl, 70) , border_color = na ) , box.new( na , na , na , na , bgcolor = color.new(btmlvl, 70) , border_color = na ) , label.new(na, na, text = "Premium" , color = invcol, textcolor = toplvl, style = label.style_label_down, size = size.small) , label.new(na, na, text = "Equilibrium", color = invcol, textcolor = midlvl, style = label.style_label_left, size = size.small) , label.new(na, na, text = "Discount" , color = invcol, textcolor = btmlvl, style = label.style_label_up , size = size.small) ) dZone.pbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)) , phl.tup) dZone.pbx.set_rightbottom(b.n + 50 , 0.95 * phl.tup + 0.05 * phl.tdn) dZone.ebx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.525 * phl.tup + 0.475 * phl.tdn) dZone.ebx.set_rightbottom(b.n + 50 , 0.525 * phl.tdn + 0.475 * phl.tup) dZone.lbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.95 * phl.tdn + 0.05 * phl.tup) dZone.lbx.set_rightbottom(b.n + 50 , phl.tdn) dZone.plb.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tup) dZone.elb.set_xy( int(b.n + 50) , math.avg(phl.tup, phl.tdn)) dZone.lbl.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tdn) if show_mtb upphl (trend) dnphl (trend) hqlzone() //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - Volumetric Order Block } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} method eB(box b, bool ext, color css, bool swing) => b.unshift( box.new( na , na , na , na , xloc = xloc.bar_time , text_font_family = font.family_monospace , extend = ext ? extend.right : extend.none , border_color = swing ? color.new(css, 0) : color.new(color.white,100) , bgcolor = css , border_width = 1 ) ) method eL(line l, bool ext, bool solid, color css) => l.unshift( line.new( na , na , na , na , width = 1 , color = css , xloc = xloc.bar_time , extend = ext ? extend.right : extend.none , style = solid ? line.style_solid : line.style_dashed ) ) method drawVOB(bool cdn, bool bull, color css, int loc, bool swing) => = request.security( syminfo.tickerid , "" , , lookahead = barmerge.lookahead_off ) var obC obj = obC.new( array.new() , array.new() , array.new< int >() , array.new() , array.new() , array.new() , array.new< int >() , array.new< int >() , array.new< int >() , array.new< int >() , array.new() , array.new() , array.new< int >() ) var obD draw = obD.new( array.new() , array.new() , array.new() , array.new() , array.new() ) if barstate.isfirst for i = 0 to ob_num - 1 draw.mL .eL(false, false, use_grayscale ? color.new(color.gray, 0) : color.new(css,0)) draw.ob .eB(false, use_grayscale ? color.new(color.gray, 90) : css, swing) draw.blB.eB(false, css_metric_up , swing) draw.brB.eB(false, css_metric_dn , swing) draw.eOB.eB(true , use_grayscale ? color.new(color.gray, 90) : css, swing) float pos = ob_pos == "Full" ? (bull ? high : low) : ob_pos == "Middle" ? ohlc4 : ob_pos == "Accurate" ? hl2 : hl2 if cdn obj.h.clear() obj.l.clear() obj.n.clear() for i = 0 to math.abs((loc - b.n)) - 1 obj.h.push(hH ) obj.l.push(lL ) obj.n.push(b.t ) // obj.h.reverse() // obj.l.reverse() int iU = obj.l.indexof(obj.l.min()) + 1 int iD = obj.h.indexof(obj.h.max()) + 1 obj.dir.unshift( bull ? (b.c > b.o ? 1 : -1) : (b.c > b.o ? 1 : -1) ) obj.top.unshift( bull ? pos : obj.h.max() ) obj.btm.unshift( bull ? obj.l.min() : pos ) obj.left.unshift( bull ? obj.n.get(obj.l.indexof(obj.l.min())) : obj.n.get(obj.h.indexof(obj.h.max())) ) obj.avg.unshift( math.avg(obj.top.first(), obj.btm.first()) ) obj.cV.unshift( bull ? b.v : b.v ) if ob_pos == "Precise" switch bull true => if obj.avg.get(0) < (b.c < b.o ? b.c : b.o ) and obj.top.get(0) > hlcc4 obj.top.set(0, obj.avg.get(0)) obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first())) false => if obj.avg.get(0) > (b.c < b.o ? b.o : b.c ) and obj.btm.get(0) < hlcc4 obj.btm.set(0, obj.avg.get(0)) obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first())) obj.blVP.unshift ( 0 ) obj.brVP.unshift ( 0 ) obj.wM .unshift ( 1 ) if use_overlap int rmP = use_overlap_method == "Recent" ? 1 : 0 if obj.avg.size() > 1 if bull ? obj.btm.first() < obj.top.get(1) : obj.top.first() > obj.btm.get(1) obj.wM .remove(rmP) obj.cV .remove(rmP) obj.dir .remove(rmP) obj.top .remove(rmP) obj.avg .remove(rmP) obj.btm .remove(rmP) obj.left .remove(rmP) obj.blVP .remove(rmP) obj.brVP .remove(rmP) if barstate.isconfirmed for x = 0 to ob_num - 1 tg = switch ob_mitigation "Middle" => obj.avg "Absolute" => bull ? obj.btm : obj.top for in tg if (bull ? cC < pt : cC > pt) obj.wM .remove(idx) obj.cV .remove(idx) obj.dir .remove(idx) obj.top .remove(idx) obj.avg .remove(idx) obj.btm .remove(idx) obj.left .remove(idx) obj.blVP .remove(idx) obj.brVP .remove(idx) if barstate.islast if obj.avg.size() > 0 // Alert if bull ? ta.crossunder(low , obj.top.get(0)) : ta.crossover (high, obj.btm.get(0)) switch bull true => blalert.obtouch := true false => bralert.obtouch := true float tV = 0 obj.dV.clear() seq = math.min(ob_num - 1, obj.avg.size() - 1) for j = 0 to seq tV += obj.cV.get(j) if j == seq for y = 0 to seq obj.dV.unshift( math.floor( (obj.cV.get(y) / tV) * 100) ) obj.dV.reverse() for i = 0 to math.min(ob_num - 1, obj.avg.size() - 1) dmL = draw.mL .get(i) dOB = draw.ob .get(i) dblB = draw.blB.get(i) dbrB = draw.brB.get(i) deOB = draw.eOB.get(i) dOB.set_lefttop (obj.left .get(i) , obj.top.get(i)) deOB.set_lefttop (b.t , obj.top.get(i)) dOB.set_rightbottom (b.t , obj.btm.get(i)) deOB.set_rightbottom(b.t + (b.t - b.t ) * 100 , obj.btm.get(i)) if use_middle_line dmL.set_xy1(obj.left.get(i), obj.avg.get(i)) dmL.set_xy2(b.t , obj.avg.get(i)) if ob_metrics_show dblB.set_lefttop (obj.left.get(i), obj.top.get(i)) dbrB.set_lefttop (obj.left.get(i), obj.avg.get(i)) dblB.set_rightbottom(obj.left.get(i), obj.avg.get(i)) dbrB.set_rightbottom(obj.left.get(i), obj.btm.get(i)) rpBL = dblB.get_right() rpBR = dbrB.get_right() dbrB.set_right(rpBR + (b.t - b.t ) * obj.brVP.get(i)) dblB.set_right(rpBL + (b.t - b.t ) * obj.blVP.get(i)) if use_show_metric txt = switch obj.cV.get(i) >= 1000000000 => str.tostring(math.round(obj.cV.get(i) / 1000000000,3)) + "B" obj.cV.get(i) >= 1000000 => str.tostring(math.round(obj.cV.get(i) / 1000000,3)) + "M" obj.cV.get(i) >= 1000 => str.tostring(math.round(obj.cV.get(i) / 1000,3)) + "K" obj.cV.get(i) < 1000 => str.tostring(math.round(obj.cV.get(i))) deOB.set_text( str.tostring( txt + " (" + str.tostring(obj.dV.get(i)) + "%)") ) deOB.set_text_size (size.auto) deOB.set_text_halign(text.align_left) deOB.set_text_color (use_grayscale ? color.silver : color.new(css, 0)) if ob_metrics_show and barstate.isconfirmed if obj.wM.size() > 0 for i = 0 to obj.avg.size() - 1 switch obj.dir.get(i) 1 => switch obj.wM.get(i) 1 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 2) 2 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 3) 3 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 1) -1 => switch obj.wM.get(i) 1 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 2) 2 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 3) 3 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 1) var hN = array.new(1, b.n) var lN = array.new(1, b.n) var hS = array.new(1, b.n) var lS = array.new(1, b.n) if iH hN.pop() hN.unshift(int(b.n )) if iL lN.pop() lN.unshift(int(b.n )) if sH hS.pop() hS.unshift(int(b.n )) if sL lS.pop() lS.unshift(int(b.n )) if ob_show bull_ob.drawVOB(true , ob_bull_css, hN.first(), false) bear_ob.drawVOB(false, ob_bear_css, lN.first(), false) if ob_swings s_bull_ob.drawVOB(true , css_swing_up, hS.first(), true) s_bear_ob.drawVOB(false, css_swing_dn, lS.first(), true) if bull_ob blalert.ob := true if bear_ob bralert.ob := true if s_bull_ob blalert.swingob := true if s_bear_ob blalert.swingob := true //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - FVG | VI | OG } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} ghl() => request.security(syminfo.tickerid, fvg_tf, [high , low , close , open ]) tfG() => request.security(syminfo.tickerid, fvg_tf, ) cG(bool bull) => = ghl() = tfG() var FVG draw = FVG.new( array.new() , array.new() ) var FVG cords = array.new() float pup = na float pdn = na bool cdn = na int pos = 2 cc = timeframe.change(fvg_tf) if barstate.isfirst for i = 0 to fvg_num - 1 draw.box.unshift(box.new (na, na, na, na, border_color = color.new(color.white, 100), xloc = xloc.bar_time)) draw.ln.unshift (line.new(na, na, na, na, xloc = xloc.bar_time, width = 1, style = line.style_solid)) switch what_fvg "FVG" => pup := bull ? gl : l pdn := bull ? h : gh cdn := bull ? gl > h and cc : gh < l and cc pos := 2 "VI" => pup := bull ? (gc > go ? go : gc) : (gc > go ? go : gc ) pdn := bull ? (gc > go ? gc : go ) : (gc > go ? gc : go) cdn := bull ? go > gc and gh >
Pine Script® indicator
by jusdgta
3
Aggressive Predictor+ (Last Bar, Vol, Wick)# Aggressive Predictor+ Pine Script Indicator **Version:** Based on the script incorporating Last Bar analysis, Volume Confirmation, and Wick Rejection. ## Overview This TradingView Pine Script indicator aims to predict the likely directional bias of the **next** candle based on an aggressive analysis of the **last closed candle's** price action, volume, and wick characteristics relative to recent market volatility (ATR). It is designed to be **highly reactive** to the most recent bar's information. The prediction is visualized directly on the chart through shapes, a projected line, a text label, and an information table. **Please Note:** Predicting the next candle is inherently speculative. This indicator provides a probability assessment based on its specific logic and should be used as a supplementary tool within a broader trading strategy, not as a standalone signal. Its performance heavily depends on market conditions and the chosen settings. ## Core Logic Explained The indicator follows these steps for each new bar, looking back at the **last closed bar** (` `): 1. **Calculate Recent Volatility:** Determines the Average True Range (ATR) over the specified `ATR Lookback Period` (`atr_len`). This provides context for how volatile the market has been recently. 2. **Analyze Last Bar's Body:** Calculates the price change from open to close (`close - open `) of the last completed bar. 3. **Compare Body to Volatility:** Compares the absolute size of the last bar's body to the calculated ATR (`prev_atr`) multiplied by a sensitivity threshold (`threshold_atr_mult`). * If the body size (positive) exceeds the threshold, the initial prediction is "Upward". * If the body size (negative) exceeds the negative threshold, the initial prediction is "Downward". * Otherwise, the initial prediction is "Neutral". 4. **Check Volume Confirmation:** Compares the volume of the last bar (`volume `) to its recent average volume (`ta.sma(volume, vol_avg_len) `). If the volume is significantly higher (based on `vol_confirm_mult`), it adds context ("High Vol") to directional predictions. 5. **Check for Wick Rejection:** Analyzes the wicks of the last bar. * If the initial prediction was "Upward" but there was a large upper wick (relative to the body size, defined by `wick_rejection_mult`), it indicates potential selling pressure rejecting higher prices. The prediction is **overridden to "Neutral"**. * If the initial prediction was "Downward" but there was a large lower wick, it indicates potential buying pressure supporting lower prices. The prediction is **overridden to "Neutral"**. 6. **Determine Final Prediction:** The final state ("Upward", "Downward", or "Neutral") is determined after considering potential wick rejection overrides. Context about volume or wick rejection is added to the display text. ## Visual Elements * **Prediction Shapes:** * Green Up Triangle: Below the bar for an "Upward" prediction (without wick rejection). * Red Down Triangle: Above the bar for a "Downward" prediction (without wick rejection). * Gray Diamond: Above/Below the bar if a directional move was predicted but then neutralized due to Wick Rejection. * **Prediction Line:** * Extends forward from the current bar's close for `line_length` bars (Default: 20). * Color indicates the final predicted state (Green: Upward, Red: Downward, Gray: Neutral). * Style is solid for directional predictions, dotted for Neutral. * The *slope/magnitude* of the line is based on recent volatility (ATR) and the `projection_mult` setting, representing a *potential* magnitude if the predicted direction holds, scaled by recent volatility. **This is purely a visual projection, not a precise price forecast.** * **Prediction Label:** * Appears at the end of the Prediction Line. * Displays the final prediction state (e.g., "Upward (High Vol)", "Neutral (Wick Rej)"). * Shows the raw price change of the last bar's body and its size relative to ATR (e.g., "Last Body: 1.50 (120.5% ATR)"). * Tooltip provides more detailed calculation info. * **Info Table:** * Displays the prediction state, color-coded. * Shows details about the last bar's body size relative to ATR. * Dynamically positioned near the latest bar (offsets configurable). ## Configuration Settings (Inputs) These settings allow you to customize the indicator's behavior and appearance. Access them by clicking the "Settings" gear icon on the indicator name on your chart. ### Price Action & ATR * **`ATR Lookback Period` (`atr_len`):** * *Default:* 14 * *Purpose:* Number of bars used to calculate the Average True Range (ATR), which measures recent volatility. * **`Body Threshold (ATR Multiplier)` (`threshold_atr_mult`):** * *Default:* 0.5 * *Purpose:* Key setting for **aggression**. The last bar's body size (`close - open`) must be greater than `ATR * this_multiplier` to be initially classified as "Upward" or "Downward". * *Effect:* **Lower values** make the indicator **more aggressive** (easier to predict direction). Higher values require a stronger price move relative to volatility and result in more "Neutral" predictions. ### Volume Confirmation * **`Volume Avg Lookback` (`vol_avg_len`):** * *Default:* 20 * *Purpose:* Number of bars used to calculate the simple moving average of volume. * **`Volume Confirmation Multiplier` (`vol_confirm_mult`):** * *Default:* 1.5 * *Purpose:* Volume on the last bar is considered "High" if it's greater than `Average Volume * this_multiplier`. * *Effect:* Primarily adds context "(High Vol)" or "(Low Vol)" to the display text for directional predictions. Doesn't change the core prediction state itself. ### Wick Rejection * **`Wick Rejection Multiplier` (`wick_rejection_mult`):** * *Default:* 1.0 * *Purpose:* If an opposing wick (upper wick on an up-candle, lower wick on a down-candle) is larger than `body size * this_multiplier`, the directional prediction is overridden to "Neutral". * *Effect:* Higher values require a much larger opposing wick to cause a rejection override. Lower values make wick rejection more likely. ### Projection Settings * **`Projection Multiplier (ATR based)` (`projection_mult`):** * *Default:* 1.0 * *Purpose:* Scales the projected *magnitude* of the prediction line. The projected price change shown by the line is `+/- ATR * this_multiplier`. * *Effect:* Adjusts how far up or down the prediction line visually slopes. Does not affect the predicted direction. * **`Prediction Line Length (Bars)` (`line_length`):** * *Default:* 20 * *Purpose:* Controls how many bars forward the **visual** prediction line extends. * *Effect:* Purely visual length adjustment. ### Visuals * **`Upward Color` (`bullish_color`):** Color for Upward predictions. * **`Downward Color` (`bearish_color`):** Color for Downward predictions. * **`Neutral Color` (`neutral_color`):** Color for Neutral predictions (including Wick Rejections). * **`Show Prediction Shapes` (`show_shapes`):** Toggle visibility of the triangles/diamonds on the chart. * **`Show Prediction Line` (`show_line`):** Toggle visibility of the projected line. * **`Show Prediction Label` (`show_label`):** Toggle visibility of the text label at the end of the line. * **`Show Info Table` (`show_table`):** Toggle visibility of the information table. ### Table Positioning * **`Table X Offset (Bars)` (`table_x_offset`):** * *Default:* 3 * *Purpose:* How many bars to the right of the current bar the info table should appear. * **`Table Y Offset (ATR Multiplier)` (`table_y_offset_atr`):** * *Default:* 0.5 * *Purpose:* How far above the high of the last bar the info table should appear, measured in multiples of ATR. ## How to Use 1. Open the Pine Editor in TradingView. 2. Paste the complete script code. 3. Click "Add to Chart". 4. Adjust the input settings (especially `threshold_atr_mult`) to tune the indicator's aggressiveness and visual preferences. 5. Observe the prediction elements alongside your other analysis methods. ## Disclaimer **This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset.** Trading financial markets involves significant risk, and you could lose money. Predictions about future price movements are inherently uncertain. The performance of this indicator depends heavily on market conditions and the settings used. Always perform your own due diligence and consider multiple factors before making any trading decisions. Use this indicator at your own risk.
Pine Script® indicator
by manindersinghx
Qualitative and Quantitative Candlestick Score [CHE] Qualitative and Quantitative Candlestick Score Overview The Qualitative and Quantitative Candlestick Score is a powerful indicator for TradingView that combines both qualitative and quantitative analyses of candlestick patterns. This indicator provides traders with a comprehensive assessment of market conditions to make informed trading decisions. Key Features - Quantitative Analysis: Calculates a quantitative score based on the price movement of each candle. - Qualitative Analysis: Evaluates candles based on body size, wick size, trend, and trading volume. - Cumulative Scores: Displays cumulative green (bullish) and red (bearish) scores over a defined period. - Trend Analysis: Identifies trend direction, strength, and provides trading recommendations (Long/Short). - Customizable Settings: Adjust parameters for time periods, thresholds, and volume analysis. Settings and Customizations 1. Time Period Settings: - Period: Number of periods to calculate moving averages and cumulative scores (Default: 14). 2. Qualitative Evaluation: - Body Size Threshold (%): Minimum size of the candle body to be considered significant (Default: 0.5%). - Wick Size Threshold (%): Maximum size of the wicks to be considered minimal (Default: 0.3%). 3. Volume Settings: - Include Volume in Evaluation: Whether to include trading volume in the qualitative score (Default: Enabled). - Volume MA Period: Number of periods to calculate the moving average of volume (Default: 14). 4. Trend Settings: - Moving Average Length: Number of periods for the Simple Moving Average used to determine the trend (Default: 50). Calculations and Visualizations - Quantitative Score: Difference between the closing and opening price, normalized to the opening price. - Qualitative Score: Evaluation based on body size, wick size, trend, and volume. - Cumulative Scores: Average of green and red scores over the defined period. - Score Difference: Difference between cumulative green and red scores to determine trend direction. - Trend Analysis Table: Displays trend direction, trend strength, and trading recommendation in an easy-to-read table. Plotting and Display - Cumulative Scores: Displays cumulative green and red scores in green and red colors. - Score Difference: Blue line chart to visualize the difference between green and red scores. - Zero Line: Horizontal gray line as a reference point. - Trend Analysis Table: Table in the top right of the chart showing current trend direction, strength, and trading recommendation. Use Cases - Trend Identification: Use the score difference and trend analysis table to quickly assess the current market sentiment. - Trading Recommendations: Based on the table, decide whether a long or short entry is appropriate. - Volume Analysis: Including volume helps to better understand the strength of a trend. Benefits - Comprehensive Analysis: Combines quantitative and qualitative methods for a deeper market analysis. - User-Friendly: Easy parameter adjustments allow for personalized use. - Visually Appealing: Clear charts and tables facilitate data interpretation. - Flexible: Adaptable to various trading strategies and timeframes. Installation and Usage 1. Installation: - Copy the provided Pine Script code. - Go to TradingView and open the Pine Script Editor. - Paste the code and save the script. - Add the indicator to your chart. 2. Customization: - Adjust the parameters according to your trading preferences. - Monitor the cumulative scores and the trend analysis table for trading decisions. Conclusion The Qualitative and Quantitative Candlestick Score offers a comprehensive analysis of market conditions by combining quantitative and qualitative evaluation methods. With its user-friendly settings and clear visualizations, this indicator is a valuable tool for traders seeking informed and precise trading decisions. Best regards and happy trading Chervolino Developed by: Chervolino Version: 1.0 License: Free to use and customize on TradingView. For any questions or feedback, feel free to contact me through the TradingView community. Note: This indicator is a tool to assist with trading decisions and does not replace professional financial advice. Use it responsibly and thoroughly test it before incorporating it into your trading strategies.
Pine Script® indicator
by chervolino
2
Hypothesis TF Strategy EvaluationThis script provides a statistical evaluation framework for trend-following strategies by examining whether mean returns (measured here as 1-period Rate of Change, ROC) differ significantly across different price quantile groups. Specifically, it: Calculates rolling 25th (Q1) and 75th (Q3) percentile levels of price over a user-defined window. Classifies returns into three groups based on whether price is above Q3, between Q1 and Q3, or below Q1. Computes mean returns and sample sizes for each group. Performs Welch's t-tests (which account for unequal variances) between groups to assess if their mean returns differ significantly. Displays results in two tables: Summary Table: Shows mean ROC and number of observations for each group. Hypothesis Testing Table: Shows pairwise t-statistics with significance stars for 95% and 99% confidence levels. Key Features Rolling quantile calculations: Captures local price distributions dynamically. Robust hypothesis testing: Welch's t-test allows for heteroskedasticity between groups. Significance indicators: Easy visual interpretation with "*" (95%) and "**" (99%) significance levels. Visual aids: Plots Q1 and Q3 levels on the price chart for intuitive understanding. Extensible and transparent: Fully commented code that emphasizes the evaluation process rather than trading signals. Important Notes Not a trading strategy: This script is intended as a tool for research and validation, not as a standalone trading system. Look-ahead bias caution: The calculation carefully avoids look-ahead bias by computing quantiles and ROC values only on past data at each point. Users must ensure look-ahead bias is removed when applying this or similar methods, as look-ahead bias would artificially inflate performance and statistical significance. The statistical tests rely on the assumption of independent samples, which might not fully hold in financial time series but still provide useful insights Usage Suggestions Use this evaluation framework to validate hypotheses about the behavior of returns under different price regimes. Integrate with your strategy development workflow to test whether certain market conditions produce statistically distinct return distributions. Example In this example, the script was run with a quantile length of 20 bars and a lookback of 500 bars for ROC classification. We consider a simple hypothetical "strategy": Go long if the previous bar closed above Q3 the 75th percentile). Go short if the previous bar closed below Q1 (the 25th percentile). Stay in cash if the previous close was between Q1 and Q3. The screenshot below demonstrates the results of this evaluation. Surprisingly, the "long" group shows a negative average return, while the "short" group has a positive average return, indicating mean reversion rather than trend following. The hypothesis testing table confirms that the only statistically significant difference (at 95% or higher confidence) is between the above Q3 and below Q1 groups, suggesting a meaningful divergence in their return behavior. This highlights how this framework can help validate or challenge intuitive assumptions about strategy performance through rigorous statistical testing.
Pine Script® indicator
by InvestorUnknown
cd_sweep&cisd_CxOverview: When the price is at a significant zone/level on a higher time frame (HTF), and it sweeps (breaks through and then closes back below/above) the high or low of the previous HTF candle, it is common to look for a Change in State of Delivery (CISD) on a lower time frame (LTF) to enter a trade. This model can be summarized as: HTF Sweep → LTF CISD (Optional: SMT / Divergences) ________________________________________ Working Principle & Details: 1. The indicator monitors price action on the selected HTF and tracks any sweep (violation) of the previous HTF candle's high or low. Simultaneously, it identifies CISD levels on the LTF. If SMT is enabled, it will appear as a label on the chart. When both HTF sweep and LTF CISD conditions are met, the indicator marks the chart at the open of the next candle and triggers an alert if set. CISD levels are tracked and updated whenever a new HTF high/low is formed. 2. The indicator monitors the formation of entry models on up to six selected pairs, displaying results in two separate tables: o HTF Sweep Query Table: Monitors live HTF candles and reports pairs that meet the sweep condition. o CISD Table: Displays the pairs where a valid entry model has formed. A "🔥" symbol indicates the condition has occurred. 3. Bias Visualization: Based on the selected HTF, a visual band is shown at the bottom of the chart using the chosen bullish/bearish colors. Bias is determined by: o Candle closing above/below the previous one suggesting continuation. o A failed close after a sweep implying potential reversal. 4. HTF Candles: Displays HTF candles based on the user-defined time frame. 5. Optional SMT (Smart Money Technique): Must be enabled in the menu and requires the correlated pair to be entered correctly for accurate results. Displayed only as a visual confirmation, not a requirement for model formation. If the currently open symbol sweeps the previous candle while the correlated symbol does not (or vice versa), an "SMT" label appears on the chart. 6. Color & Table Positioning: Controlled via the settings menu. ________________________________________ Warnings: • The indicator only marks CISDs that form at HTF high/low zones. • Entering every time the model forms does not guarantee profitability. • Waiting for the model to appear at significant HTF levels/zones increases the likelihood of success. • HTF and LTF selections should follow commonly accepted combinations or user-tested time frames. • If you want to trigger alerts only for symbols entered in the indicator, ensure the "Use indicator alerts" option is enabled. • To set alerts for the TradingView watchlist instead, disable the "Use indicator alerts" option. ________________________________________ Feel free to share your thoughts and suggestions. Happy trading! 💫
Pine Script® indicator
by cdikici71
36
dataTableUtilitiesLibrary "dataTableUtilities" generate_dataTable(dataTable_map, title, tableYpos, tableXpos, textSize, includes_multiple_maps, include_comments)   : Generates and shows a data table.   Parameters:      dataTable_map (map)      title (string) : (string): Title of the table      tableYpos (string) : (string): Vertical position of the table      tableXpos (string) : (string): Horizontal position of the table      textSize (string) : (string): Text size      includes_multiple_maps (bool)      include_comments (bool)   Returns: : None generate_dataTable_multiple_columns(dataTable_map, title, tableYpos, tableXpos, textSize, includes_multiple_maps, total_columns)   : Generates and shows a data table.   Parameters:      dataTable_map (map)      title (string) : (string): Title of the table      tableYpos (string) : (string): Vertical position of the table      tableXpos (string) : (string): Horizontal position of the table      textSize (string) : (string): Text size      includes_multiple_maps (bool)      total_columns (int)   Returns: : None
Pine Script® library
by algoTraderGTP
Streamer WatermarkThis unique indicator doesn’t help you trade but it makes your charts look super clean and professional in images and live streams! This indicator works by displaying two tables. The first table has day of the week, date, and free form text. The second table has ticker symbol and timeframe of the current chart. Everything about the tables and the cells is completely controllable by the user! Here is a breakdown of how customizable the user can make this indicator: Table: Toggle each table to be displayed on or off Move each table into 9 different locations around the chart Move each table separately Table background color and transparency Table border color and transparency Table border width Table frame width Cells: Each cell can be individually toggled on or off (the table will resize dynamically) Cell text color and transparency Text size with 6 different options Date format with 12 different formats Input Text: Text Emoji Text & emojis ASCII characters Symbols Anything that can by copied and pasted Any combination of the above Notes Use text size “Auto” if viewing the same chart on desktop and on smart phone (Auto makes the text scale based upon screen size) Gallery Disclaimer Please read the TradingView House Rules carefully before using this indicator to add text, symbols, characters, or anything else to your charts and posting on TradingView Ideas or Scripts. This indicator and the author are not responsible for users not reading, fully understanding, and abiding by TradingView’s House Rules. Please watermark responsibly.
Pine Script® indicator
by Infinity_Trading_
1
Daily + 4H MACD & RSI Screeneri used this script for my swing trading entry. //@version=5 indicator("Daily + 4H MACD & RSI Screener", overlay=false) // settings rsiLength = input.int(14, "RSI Length") rsiLevel = input.int(50, "RSI Threshold") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") // ---- daily timeframe ---- dailyRsi = request.security(syminfo.tickerid, "D", ta.rsi(close, rsiLength)) = request.security(syminfo.tickerid, "D", ta.macd(close, macdFast, macdSlow, macdSignal)) dailyRsiPass = dailyRsi < rsiLevel dailyMacdPass = dailyMacd < 0 dailyCondition = dailyRsiPass and dailyMacdPass // ---- 4H timeframe ---- h4Rsi = request.security(syminfo.tickerid, "240", ta.rsi(close, rsiLength)) = request.security(syminfo.tickerid, "240", ta.macd(close, macdFast, macdSlow, macdSignal)) h4RsiPass = h4Rsi < rsiLevel h4MacdPass = h4Macd < 0 h4Condition = h4RsiPass and h4MacdPass // ---- combined condition ---- finalCondition = dailyCondition and h4Condition // plot signals plotshape(finalCondition, style=shape.triangledown, location=location.top, color=color.red, size=size.large, title="Signal") bgcolor(finalCondition ? color.new(color.red, 85) : na) // ---- table (3 columns x 4 rows) ---- var table statusTable = table.new(position=position.top_right, columns=3, rows=4, border_width=1) // headers table.cell(statusTable, 0, 0, "Timeframe", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(statusTable, 1, 0, "RSI", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(statusTable, 2, 0, "MACD", text_color=color.white, bgcolor=color.new(color.black, 0)) // daily row table.cell(statusTable, 0, 1, "Daily", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(statusTable, 1, 1, str.tostring(dailyRsi, "#.##"), text_color=color.white, bgcolor=dailyRsiPass ? color.new(color.green, 60) : color.new(color.red, 60)) table.cell(statusTable, 2, 1, str.tostring(dailyMacd, "#.##"), text_color=color.white, bgcolor=dailyMacdPass ? color.new(color.green, 60) : color.new(color.red, 60)) // 4H row table.cell(statusTable, 0, 2, "4H", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(statusTable, 1, 2, str.tostring(h4Rsi, "#.##"), text_color=color.white, bgcolor=h4RsiPass ? color.new(color.green, 60) : color.new(color.red, 60)) table.cell(statusTable, 2, 2, str.tostring(h4Macd, "#.##"), text_color=color.white, bgcolor=h4MacdPass ? color.new(color.green, 60) : color.new(color.red, 60)) // status row (simulate colspan by using two adjacent cells with the same bgcolor) table.cell(statusTable, 0, 3, "Status", text_color=color.white, bgcolor=color.new(color.black, 0)) statusText = finalCondition ? "match" : "no match" statusBg = finalCondition ? color.new(color.green, 0) : color.new(color.red, 0) table.cell(statusTable, 1, 3, statusText, text_color=color.white, bgcolor=statusBg, text_size=size.large) table.cell(statusTable, 2, 3, "", text_color=color.white, bgcolor=statusBg)
Pine Script® indicator
by speakjustly
Stocks Multi-Indicator Alerts (cryptodaddy)//@version=6 // Multi-Indicator Alerts // -------------------------------------------- // This script combines technical indicators and basic analyst data // to produce composite buy and sell signals. Each block is heavily // commented so future modifications are straightforward. indicator("Multi-Indicator Alerts", overlay=true, max_labels_count=500) //// === Daily momentum indicators === // Relative Strength Index measures price momentum. rsiLength = input.int(14, "RSI Length") rsi = ta.rsi(close, rsiLength) // Money Flow Index incorporates volume to track capital movement. // In Pine Script v6 the function only requires a price source and length; // volume is taken from the built-in `volume` series automatically. mfLength = input.int(14, "Money Flow Length") mf = ta.mfi(hlc3, mfLength) // `mfUp`/`mfDown` flag a turn in money flow over the last two bars. mfUp = ta.rising(mf, 2) mfDown = ta.falling(mf, 2) //// === WaveTrend oscillator === // A simplified WaveTrend model produces "dots" indicating potential // exhaustion points. Values beyond +/-53 are treated as oversold/overbought. n1 = input.int(10, "WT Channel Length") n2 = input.int(21, "WT Average Length") ap = hlc3 // typical price esa = ta.ema(ap, n1) // smoothed price d = ta.ema(math.abs(ap - esa), n1) // smoothed deviation ci = (ap - esa) / (0.015 * d) // channel index tci = ta.ema(ci, n2) // trend channel index wt1 = tci // main line wt2 = ta.sma(wt1, 4) // signal line greenDot = ta.crossover(wt1, wt2) and wt1 < -53 redDot = ta.crossunder(wt1, wt2) and wt1 > 53 plotshape(greenDot, title="Green Dot", style=shape.circle, color=color.green, location=location.belowbar, size=size.tiny) plotshape(redDot, title="Red Dot", style=shape.circle, color=color.red, location=location.abovebar, size=size.tiny) //// === Analyst fundamentals === // Fundamental values from TradingView's database. If a ticker lacks data // these will return `na` and the related conditions simply evaluate false. rating = request.financial(syminfo.tickerid, "rating", period="FY") targetHigh = request.financial(syminfo.tickerid, "target_high_price", period="FY") targetLow = request.financial(syminfo.tickerid, "target_low_price", period="FY") upsidePct = (targetHigh - close) / close * 100 downsidePct = (close - targetLow) / close * 100 // `rating` comes back as a numeric value (1 strong sell -> 5 strong buy). Use // thresholds instead of string comparisons so the script compiles even when // the broker only supplies numeric ratings. ratingBuy = rating >= 4 // buy or strong buy ratingNeutralOrBuy = rating >= 3 // neutral or better upsideCondition = upsidePct >= 2 * downsidePct // upside at least twice downside downsideCondition = downsidePct >= upsidePct // downside greater or equal //// === Daily moving-average context === // 50 EMA represents short-term trend; 200 EMA long-term bias. ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) longBias = close > ema200 // price above 200-day = long bias momentumFavorable = close > ema50 // price above 50-day = positive momentum //// === Weekly trend filter === // Higher timeframe confirmation to reduce noise. weeklyClose = request.security(syminfo.tickerid, "W", close) weeklyEMA20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20)) weeklyRSI = request.security(syminfo.tickerid, "W", ta.rsi(close, rsiLength)) // Weekly Money Flow uses the same two-argument `ta.mfi()` inside `request.security`. weeklyMF = request.security(syminfo.tickerid, "W", ta.mfi(hlc3, mfLength)) weeklyFilter = weeklyClose > weeklyEMA20 //// === Buy evaluation === // Each true condition contributes one point to `buyScore`. c1_buy = rsi < 50 // RSI below midpoint c2_buy = mfUp // Money Flow turning up c3_buy = greenDot // WaveTrend oversold bounce c4_buy = ratingBuy // Analyst rating Buy/Strong Buy c5_buy = upsideCondition // Forecast upside twice downside buyScore = (c1_buy?1:0) + (c2_buy?1:0) + (c3_buy?1:0) + (c4_buy?1:0) + (c5_buy?1:0) // Require all five conditions plus trend filters and persistence for two bars. buyCond = c1_buy and c2_buy and c3_buy and c4_buy and c5_buy and longBias and momentumFavorable and weeklyFilter and weeklyRSI > 50 and weeklyMF > 50 buySignal = buyCond and buyCond //// === Sell evaluation === // Similar logic as buy side but inverted. c1_sell = rsi > 70 // RSI above overbought threshold c2_sell = mfDown // Money Flow turning down c3_sell = redDot // WaveTrend overbought reversal c4_sell = ratingNeutralOrBuy // Analysts neutral or still buy c5_sell = downsideCondition // Downside at least equal to upside sellScore = (c1_sell?1:0) + (c2_sell?1:0) + (c3_sell?1:0) + (c4_sell?1:0) + (c5_sell?1:0) // For exits require weekly filters to fail or long bias lost. sellCond = c1_sell and c2_sell and c3_sell and c4_sell and c5_sell and (not longBias or not weeklyFilter or weeklyRSI < 50) sellSignal = sellCond and sellCond // Plot composite scores for quick reference. plot(buyScore, "Buy Score", color=color.green) plot(sellScore, "Sell Score", color=color.red) //// === Confidence table === // Shows which of the five buy/sell checks are currently met. var table status = table.new(position.top_right, 5, 2, border_width=1) if barstate.islast table.cell(status, 0, 0, "RSI", bgcolor=c1_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 1, 0, "MF", bgcolor=c2_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 2, 0, "Dot", bgcolor=c3_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 3, 0, "Rating", bgcolor=c4_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 4, 0, "Target", bgcolor=c5_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 0, 1, "RSI>70", bgcolor=c1_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 1, 1, "MF down",bgcolor=c2_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 2, 1, "Red dot", bgcolor=c3_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 3, 1, "Rating", bgcolor=c4_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 4, 1, "Target", bgcolor=c5_sell?color.new(color.red,0):color.new(color.green,0)) //// === Alert text === // Include key metrics in alerts so the chart doesn't need to be opened. buyMsg = "BUY: RSI " + str.tostring(rsi, "#.##") + ", MF " + str.tostring(mf, "#.##") + ", Upside " + str.tostring(upsidePct, "#.##") + "%" + ", Downside " + str.tostring(downsidePct, "#.##") + "%" + ", Rating " + str.tostring(rating, "#.##") sellMsg = "SELL: RSI " + str.tostring(rsi, "#.##") + ", MF " + str.tostring(mf, "#.##") + ", Upside " + str.tostring(upsidePct, "#.##") + "%" + ", Downside " + str.tostring(downsidePct, "#.##") + "%" + ", Rating " + str.tostring(rating, "#.##") // Alert conditions use static messages; dynamic data is sent via `alert()` alertcondition(buySignal, title="Buy Signal", message="Buy conditions met") alertcondition(sellSignal, title="Sell Signal", message="Sell conditions met") if buySignal alert(buyMsg, alert.freq_once_per_bar_close) if sellSignal alert(sellMsg, alert.freq_once_per_bar_close) //// === Watch-out flags === // Gentle warnings when trends weaken but before full sell signals. warnRSI = rsi > 65 and rsi <= 65 warnAnalyst = upsidePct < 2 * downsidePct and upsidePct > downsidePct alertcondition(warnRSI, title="RSI Watch", message="RSI creeping above 65") alertcondition(warnAnalyst, title="Analyst Watch", message="Analyst upside shrinking") if warnRSI alert("RSI creeping above 65: " + str.tostring(rsi, "#.##"), alert.freq_once_per_bar_close) if warnAnalyst alert("Analyst upside shrinking: up " + str.tostring(upsidePct, "#.##") + "% vs down " + str.tostring(downsidePct, "#.##") + "%", alert.freq_once_per_bar_close) //// === Plot bias moving averages === plot(ema50, color=color.orange, title="EMA50") plot(ema200, color=color.blue, title="EMA200") //// === Cross alerts for context === goldenCross = ta.crossover(ema50, ema200) deathCross = ta.crossunder(ema50, ema200) alertcondition(goldenCross, title="Golden Cross", message="50 EMA crossed above 200 EMA") alertcondition(deathCross, title="Death Cross", message="50 EMA crossed below 200 EMA")
Pine Script® indicator
by leandrobanking
Dee EMA 5.0 1. Indicator Features: - The indicator can plot four different sets of EMA on a chart. - The EMA values can be displayed on the chart with their respective names (e.g., ema9, ema20, etc.). - The indicator allows customization of the EMA values. 2. Purpose of Dee_EMA 5.0: - Dee_EMA 5.0 is a unique EMA indicator specially designed for traders to provide better insights and aid in trading decisions. - The primary reason for building this indicator is to address the challenge of managing multiple time frames while using normal EMA tables. - Traditional EMA tables might not show all EMA values across different time frames simultaneously, leading to time-consuming processes like shifting time frames and refreshing charts. - Dee_EMA 5.0 solves this issue by displaying EMA values for different time frames in one table, allowing traders to make quick judgments without repeatedly changing time frames and refreshing charts. 3. Importance of Different Time Frame EMA Values: - Different time frames EMA values are crucial in trading because they provide valuable insights into the market dynamics at various levels. - When using shorter time frames (e.g., 1-minute), EMA values can help identify short-term trends, support, and resistance levels. - On the other hand, using larger time frames (e.g., 5-minute or 15-minute) provides more data and increases the accuracy of EMA-based analysis, enabling traders to identify longer-term trends and potential price movements. 4. EMA Crossover Table: - Traders often prefer a clutter-free chart without too many lines, but they still need access to EMA values for analysis. - The EMA table and EMA crossover table serve this purpose by providing EMA values and EMA crossover information in a structured table format. - With the EMA crossover table, traders can quickly check EMA values and crossovers across different time frames without having to switch time frames repeatedly, saving time and facilitating faster decision-making during trading. In summary, Dee_EMA 5.0 is an EMA indicator designed to help traders efficiently analyze EMA values across different time frames, allowing for faster and more informed trading decisions. The EMA crossover table provides additional convenience by presenting EMA crossovers without cluttering the chart.
Pine Script® indicator
by DeepakGB
13
CNTLibraryLibrary "CNTLibrary" Custom Functions To Help Code In Pinescript V5 Coded By Christian Nataliano First Coded In 10/06/2023 Last Edited In 22/06/2023 Huge Shout Out To © ZenAndTheArtOfTrading and his ZenLibrary V5, Some Of The Custom Functions Were Heavily Inspired By Matt's Work & His Pine Script Mastery Course Another Shout Out To The TradingView's Team Library ta V5 //==================================================================================================================================================== // Custom Indicator Functions //==================================================================================================================================================== GetKAMA(KAMA_lenght, Fast_KAMA, Slow_KAMA)   Calculates An Adaptive Moving Average Based On Perry J Kaufman's Calculations   Parameters:      KAMA_lenght (int) : Is The KAMA Lenght      Fast_KAMA (int) : Is The KAMA's Fastes Moving Average      Slow_KAMA (int) : Is The KAMA's Slowest Moving Average   Returns: Float Of The KAMA's Current Calculations GetMovingAverage(Source, Lenght, Type)   Get Custom Moving Averages Values   Parameters:      Source (float) : Of The Moving Average, Defval = close      Lenght (simple int) : Of The Moving Average, Defval = 50      Type (string) : Of The Moving Average, Defval = Exponential Moving Average   Returns: The Moving Average Calculation Based On Its Given Source, Lenght & Calculation Type (Please Call Function On Global Scope) GetDecimals()   Calculates how many decimals are on the quote price of the current market © ZenAndTheArtOfTrading   Returns: The current decimal places on the market quote price Truncate(number, decimalPlaces)   Truncates (cuts) excess decimal places © ZenAndTheArtOfTrading   Parameters:      number (float)      decimalPlaces (simple float)   Returns: The given number truncated to the given decimalPlaces ToWhole(number)   Converts pips into whole numbers © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number ToPips(number)   Converts whole numbers back into pips © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number GetPctChange(value1, value2, lookback)   Gets the percentage change between 2 float values over a given lookback period © ZenAndTheArtOfTrading   Parameters:      value1 (float)      value2 (float)      lookback (int) BarsAboveMA(lookback, ma)   Counts how many candles are above the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are above the MA BarsBelowMA(lookback, ma)   Counts how many candles are below the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are below the EMA BarsCrossedMA(lookback, ma)   Counts how many times the EMA was crossed recently © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many times price recently crossed the EMA GetPullbackBarCount(lookback, direction)   Counts how many green & red bars have printed recently (ie. pullback count) © ZenAndTheArtOfTrading   Parameters:      lookback (int)      direction (int)   Returns: The bar count of how many candles have retraced over the given lookback & direction GetSwingHigh(Lookback, SwingType)   Check If Price Has Made A Recent Swing High   Parameters:      Lookback (int) : Is For The Swing High Lookback Period, Defval = 7      SwingType (int) : Is For The Swing High Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing High GetSwingLow(Lookback, SwingType)   Check If Price Has Made A Recent Swing Low   Parameters:      Lookback (int) : Is For The Swing Low Lookback Period, Defval = 7      SwingType (int) : Is For The Swing Low Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing Low //==================================================================================================================================================== // Custom Risk Management Functions //==================================================================================================================================================== CalculateStopLossLevel(OrderType, Entry, StopLoss)   Calculate StopLoss Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLoss (float) : Is The Custom StopLoss Distance, Defval = 2x ATR Below Close   Returns: Float - The StopLoss Level In Actual Price As A CalculateStopLossDistance(OrderType, Entry, StopLoss)   Calculate StopLoss Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      StopLoss (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The StopLoss Value In Pips CalculateTakeProfitLevel(OrderType, Entry, StopLossDistance, RiskReward)   Calculate TakeProfit Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLossDistance (float)      RiskReward (float)   Returns: Float - The TakeProfit Level In Actual Price CalculateTakeProfitDistance(OrderType, Entry, TakeProfit)   Get TakeProfit Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      TakeProfit (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The TakeProfit Value In Pips CalculateConversionCurrency(AccountCurrency, SymbolCurrency, BaseCurrency)   Get The Conversion Currecny Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      AccountCurrency (simple string) : Is For The Account Currency Used      SymbolCurrency (simple string) : Is For The Current Symbol Currency (Front Symbol)      BaseCurrency (simple string) : Is For The Current Symbol Base Currency (Back Symbol)   Returns: Tuple Of A Bollean (Convert The Currency ?) And A String (Converted Currency) CalculateConversionRate(ConvertCurrency, ConversionRate)   Get The Conversion Rate Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      ConvertCurrency (bool) : Is To Check If The Current Symbol Needs To Be Converted Or Not      ConversionRate (float) : Is The Quoted Price Of The Conversion Currency (Input The request.security Function Here)   Returns: Float Price Of Conversion Rate (If In The Same Currency Than Return Value Will Be 1.0) LotSize(LotSizeSimple, Balance, Risk, SLDistance, ConversionRate)   Get Current Lot Size   Parameters:      LotSizeSimple (bool) : Is To Toggle Lot Sizing Calculation (Simple Is Good Enough For Stocks & Crypto, Whilst Complex Is For Forex)      Balance (float) : Is For The Current Account Balance To Calculate The Lot Sizing Based Off      Risk (float) : Is For The Current Risk Per Trade To Calculate The Lot Sizing Based Off      SLDistance (float) : Is The Current Position StopLoss Distance From Its Entry Price      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - Position Size In Units ToLots(Units)   Converts Units To Lots   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots ToUnits(Lots)   Converts Lots To Units   Parameters:      Lots (float) : Is For How Many Lots Need To Be Converted Into Units (Minimun 0.01 Units)   Returns: Int - Position Size In Units ToLotsInUnits(Units)   Converts Units To Lots Than Back To Units   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots That Were Rounded To Units ATRTrail(OrderType, SourceType, ATRPeriod, ATRMultiplyer, SwingLookback)   Calculate ATR Trailing Stop   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      SourceType (int) : Is To Determine Where To Calculate The ATR Trailing From, Defval = close      ATRPeriod (simple int) : Is To Change Its ATR Period, Defval = 20      ATRMultiplyer (float) : Is To Change Its ATR Trailing Distance, Defval = 1      SwingLookback (int) : Is To Change Its Swing HiLo Lookback (Only From Source Type 5), Defval = 7   Returns: Float - Number Of The Current ATR Trailing DangerZone(WinRate, AvgRRR, Filter)   Calculate Danger Zone Of A Given Strategy   Parameters:      WinRate (float) : Is The Strategy WinRate      AvgRRR (float) : Is The Strategy Avg RRR      Filter (float) : Is The Minimum Profit It Needs To Be Out Of BE Zone, Defval = 3   Returns: Int - Value, 1 If Out Of Danger Zone, 0 If BE, -1 If In Danger Zone IsQuestionableTrades(TradeTP, TradeSL)   Checks For Questionable Trades (Which Are Trades That Its TP & SL Level Got Hit At The Same Candle)   Parameters:      TradeTP (float) : Is The Trade In Question Take Profit Level      TradeSL (float) : Is The Trade In Question Stop Loss Level   Returns: Bool - True If The Last Trade Was A "Questionable Trade" //==================================================================================================================================================== // Custom Strategy Functions //==================================================================================================================================================== OpenLong(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Long Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Long"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Long Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void OpenShort(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Short Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Short"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Short Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void TP_SLExit(FromID, TPLevel, SLLevel, PercentageClose, Comment, CommentValue)   Exits Based On Predetermined TP & SL Levels   Parameters:      FromID (string) : Is The Trade ID That The TP & SL Levels Be Palced      TPLevel (float) : Is The Take Profit Level      SLLevel (float) : Is The StopLoss Level      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void CloseLong(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Long Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Long"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void CloseShort(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Short Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Short"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void BrokerCheck(Broker)   Checks Traded Broker With Current Loaded Chart Broker   Parameters:      Broker (string) : Is The Current Broker That Is Traded   Returns: Bool - True If Current Traded Broker Is Same As Loaded Chart Broker OpenPC(LicenseID, OrderType, UseLimit, LimitPrice, SymbolPrefix, Symbol, SymbolSuffix, Risk, SL, TP, OrderComment, Spread)   Compiles Given Parameters Into An Alert String Format To Open Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Open      UseLimit (bool) : Is If We Want To Enter The Position At Exactly The Previous Closing Price      LimitPrice (float) : Is The Limit Price Of The Trade (Only For Pending Orders)      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)      Risk (float) : Is The Trade Risk Per Trade / Fixed Lot Sizing      SL (float) : Is The Trade SL In Price / In Pips      TP (float) : Is The Trade TP In Price / In Pips      OrderComment (string) : Is The Executed Trade Comment      Spread (float) : is The Maximum Spread For Execution   Returns: String - Pine Connector Order Syntax Alert Message ClosePC(LicenseID, OrderType, SymbolPrefix, Symbol, SymbolSuffix)   Compiles Given Parameters Into An Alert String Format To Close Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Close      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)   Returns: String - Pine Connector Order Syntax Alert Message //==================================================================================================================================================== // Custom Backtesting Calculation Functions //==================================================================================================================================================== CalculatePNL(EntryPrice, ExitPrice, LotSize, ConversionRate)   Calculates Trade PNL Based On Entry, Eixt & Lot Size   Parameters:      EntryPrice (float) : Is The Trade Entry      ExitPrice (float) : Is The Trade Exit      LotSize (float) : Is The Trade Sizing      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - The Current Trade PNL UpdateBalance(PrevBalance, PNL)   Updates The Previous Ginve Balance To The Next PNL   Parameters:      PrevBalance (float) : Is The Previous Balance To Be Updated      PNL (float) : Is The Current Trade PNL To Be Added   Returns: Float - The Current Updated PNL CalculateSlpComm(PNL, MaxRate)   Calculates Random Slippage & Commisions Fees Based On The Parameters   Parameters:      PNL (float) : Is The Current Trade PNL      MaxRate (float) : Is The Upper Limit (In Percentage) Of The Randomized Fee   Returns: Float - A Percentage Fee Of The Current Trade PNL UpdateDD(MaxBalance, Balance)   Calculates & Updates The DD Based On Its Given Parameters   Parameters:      MaxBalance (float) : Is The Maximum Balance Ever Recorded      Balance (float) : Is The Current Account Balance   Returns: Float - The Current Strategy DD CalculateWR(TotalTrades, LongID, ShortID)   Calculate The Total, Long & Short Trades Win Rate   Parameters:      TotalTrades (int) : Are The Current Total Trades That The Strategy Has Taken      LongID (string) : Is The Order ID Of The Long Trades Of The Strategy      ShortID (string) : Is The Order ID Of The Short Trades Of The Strategy   Returns: Tuple Of Long WR%, Short WR%, Total WR%, Total Winning Trades, Total Losing Trades, Total Long Trades & Total Short Trades CalculateAvgRRR(WinTrades, LossTrades)   Calculates The Overall Strategy Avg Risk Reward Ratio   Parameters:      WinTrades (int) : Are The Strategy Winning Trades      LossTrades (int) : Are The Strategy Losing Trades   Returns: Float - The Average RRR Values CAGR(StartTime, StartPrice, EndTime, EndPrice)   Calculates The CAGR Over The Given Time Period © TradingView   Parameters:      StartTime (int) : Is The Starting Time Of The Calculation      StartPrice (float) : Is The Starting Price Of The Calculation      EndTime (int) : Is The Ending Time Of The Calculation      EndPrice (float) : Is The Ending Price Of The Calculation   Returns: Float - The CAGR Values //==================================================================================================================================================== // Custom Plot Functions //==================================================================================================================================================== EditLabels(LabelID, X1, Y1, Text, Color, TextColor, EditCondition, DeleteCondition)   Edit / Delete Labels   Parameters:      LabelID (label) : Is The ID Of The Selected Label      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      Text (string) : Is The Text Than Wants To Be Written In The Label      Color (color) : Is The Color Value Change Of The Label Text      TextColor (color)      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void EditLine(LineID, X1, Y1, X2, Y2, Color, EditCondition, DeleteCondition)   Edit / Delete Lines   Parameters:      LineID (line) : Is The ID Of The Selected Line      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      X2 (int) : Is The X2 Coordinate IN BARINDEX Xloc      Y2 (float) : Is The Y2 Coordinate IN PRICE Yloc      Color (color) : Is The Color Value Change Of The Line      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void //==================================================================================================================================================== // Custom Display Functions (Using Tables) //==================================================================================================================================================== FillTable(TableID, Column, Row, Title, Value, BgColor, TextColor, ToolTip)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      Column (int) : Is The Current Column Of The Table That Wants To Be Edited      Row (int) : Is The Current Row Of The Table That Wants To Be Edited      Title (string) : Is The String Title Of The Current Cell Table      Value (string) : Is The String Value Of The Current Cell Table      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      ToolTip (string) : Is The ToolTip Of The Current Cell In The Table   Returns: Void DisplayBTResults(TableID, BgColor, TextColor, StartingBalance, Balance, DollarReturn, TotalPips, MaxDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      StartingBalance (float) : Is The Account Starting Balance      Balance (float)      DollarReturn (float) : Is The Account Dollar Reture      TotalPips (float) : Is The Total Pips Gained / loss      MaxDD (float) : Is The Maximum Drawdown Over The Backtesting Period   Returns: Void DisplayBTResultsV2(TableID, BgColor, TextColor, TotalWR, QTCount, LongWR, ShortWR, InitialCapital, CumProfit, CumFee, AvgRRR, MaxDD, CAGR, MeanDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      TotalWR (float) : Is The Strategy Total WR In %      QTCount (int) : Is The Strategy Questionable Trades Count      LongWR (float) : Is The Strategy Total WR In %      ShortWR (float) : Is The Strategy Total WR In %      InitialCapital (float) : Is The Strategy Initial Starting Capital      CumProfit (float) : Is The Strategy Ending Cumulative Profit      CumFee (float) : Is The Strategy Ending Cumulative Fee (Based On Randomized Fee Assumptions)      AvgRRR (float) : Is The Strategy Average Risk Reward Ratio      MaxDD (float) : Is The Strategy Maximum DrawDown In Its Backtesting Period      CAGR (float) : Is The Strategy Compounded Average GRowth In %      MeanDD (float) : Is The Strategy Mean / Average Drawdown In The Backtesting Period   Returns: Void //==================================================================================================================================================== // Custom Pattern Detection Functions //==================================================================================================================================================== BullFib(priceLow, priceHigh, fibRatio)   Calculates A Bullish Fibonacci Value (From Swing Low To High) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points BearFib(priceLow, priceHigh, fibRatio)   Calculates A Bearish Fibonacci Value (From Swing High To Low) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points GetBodySize()   Gets The Current Candle Body Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN POINTS GetTopWickSize()   Gets The Current Candle Top Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Top Wick Size IN POINTS GetBottomWickSize()   Gets The Current Candle Bottom Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Bottom Wick Size IN POINTS GetBodyPercent()   Gets The Current Candle Body Size As A Percentage Of Its Entire Size Including Its Wicks © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN PERCENTAGE GetTopWickPercent()   Gets The Current Top Wick Size As A Percentage Of Its Entire Body Size   Returns: Float - The Current Candle Top Wick Size IN PERCENTAGE GetBottomWickPercent()   Gets The Current Bottom Wick Size As A Percentage Of Its Entire Bodu Size   Returns: Float - The Current Candle Bottom Size IN PERCENTAGE BullishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Engulfing Candle BearishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bearish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Engulfing Candle Hammer(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Star(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Doji(MaxWickSize, MaxBodySize, DojiType, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Doji Candle   Parameters:      MaxWickSize (float) : To Specify The Maximum Lenght Of Its Upper & Lower Wick, Defval = 2      MaxBodySize (float) : To Specify The Maximum Lenght Of Its Candle Body IN PERCENT, Defval = 0.05      DojiType (int)      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Doji Candle BullishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Harami Candle BearishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Harami Candle //==================================================================================================================================================== // Custom Time Functions //==================================================================================================================================================== BarInSession(sess, useFilter)   Determines if the current price bar falls inside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls within the given time session BarOutSession(sess, useFilter)   Determines if the current price bar falls outside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls outside the given time session DateFilter(startTime, endTime)   Determines if this bar's time falls within date filter range © ZenAndTheArtOfTrading   Parameters:      startTime (int)      endTime (int)   Returns: A boolean - true if the current bar falls within the given dates DayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)   Checks if the current bar's day is in the list of given days to analyze © ZenAndTheArtOfTrading   Parameters:      monday (bool)      tuesday (bool)      wednesday (bool)      thursday (bool)      friday (bool)      saturday (bool)      sunday (bool)   Returns: A boolean - true if the current bar's day is one of the given days AUSSess()   Checks If The Current Australian Forex Session In Running   Returns: Bool - True If Currently The Australian Session Is Running ASIASess()   Checks If The Current Asian Forex Session In Running   Returns: Bool - True If Currently The Asian Session Is Running EURSess()   Checks If The Current European Forex Session In Running   Returns: Bool - True If Currently The European Session Is Running USSess()   Checks If The Current US Forex Session In Running   Returns: Bool - True If Currently The US Session Is Running UNIXToDate(Time, ConversionType, TimeZone)   Converts UNIX Time To Datetime   Parameters:      Time (int) : Is The UNIX Time Input      ConversionType (int) : Is The Datetime Output Format, Defval = DD-MM-YYYY      TimeZone (string) : Is To Convert The Outputed Datetime Into The Specified Time Zone, Defval = Exchange Time Zone   Returns: String - String Of Datetime
Pine Script® library
by CN_FX-999
Enhanced Volume Trend Indicator with BB SqueezeEnhanced Volume Trend Indicator with BB Squeeze: Comprehensive Explanation The visualization system allows traders to quickly scan multiple securities to identify high-probability setups without detailed analysis of each chart. The progression from squeeze to breakout, supported by volume trend confirmation, offers a systematic approach to identifying trading opportunities. The script combines multiple technical analysis approaches into a comprehensive dashboard that helps traders make informed decisions by identifying high-probability setups while filtering out noise through its sophisticated confirmation requirements. It combines multiple technical analysis approaches into an integrated visual system that helps traders identify potential trading opportunities while filtering out false signals. Core Features 1. Volume Analysis Dashboard The indicator displays various volume-related metrics in customizable tables: AVOL (After Hours + Pre-Market Volume): Shows extended hours volume as a percentage of the 21-day average volume with color coding for buying/selling pressure. Green indicates buying pressure and red indicates selling pressure. Volume Metrics: Includes regular volume (VOL), dollar volume ($VOL), relative volume compared to 21-day average (RVOL), and relative volume compared to 90-day average (RVOL90D). Pre-Market Data: Optional display of pre-market volume (PVOL), pre-market dollar volume (P$VOL), pre-market relative volume (PRVOL), and pre-market price change percentage (PCHG%). 2. Enhanced Volume Trend (VTR) Analysis The Volume Trend indicator uses adaptive analysis to evaluate buying and selling pressure, combining multiple factors: MACD (Moving Average Convergence Divergence) components Volume-to-SMA (Simple Moving Average) ratio Price direction and market conditions Volume change rates and momentum EMA (Exponential Moving Average) alignment and crossovers Volatility filtering VTR Visual Indicators The VTR score ranges from 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. This is visually represented by colored circles: "●" (Filled Circle): Green: Strong bullish trend (VTR ≥ 80) Red: Strong bearish trend (VTR ≤ 20) "◯" (Hollow Circle): Green: Moderate bullish trend (VTR 65-79) Red: Moderate bearish trend (VTR 21-35) "·" (Small Dot): Green: Weak bullish trend (VTR 55-64) Red: Weak bearish trend (VTR 36-45) "○" (Medium Hollow Circle): Neutral conditions (VTR 46-54), shown in gray In "Both" display mode, the VTR shows both the numerical score (0-100) alongside the appropriate circle symbol. Enhanced VTR Settings The Enhanced Volume Trend component offers several advanced customization options: Adaptive Volume Analysis (volTrendAdaptive): When enabled, dynamically adjusts volume thresholds based on recent market volatility Higher volatility periods require proportionally higher volume to generate significant signals Helps prevent false signals during highly volatile markets Keep enabled for most trading conditions, especially in volatile markets Speed of Change Weight (volTrendSpeedWeight, range 0-1): Controls emphasis on volume acceleration/deceleration rather than absolute levels Higher values (0.7-1.0): More responsive to new volume trends, better for momentum trading Lower values (0.2-0.5): Less responsive, better for trend following Helps identify early volume trends before they fully develop Momentum Period (volTrendMomentumPeriod, range 2-10): Defines lookback period for volume change rate calculations Lower values (2-3): More responsive to recent changes, better for short timeframes Higher values (7-10): Smoother, better for daily/weekly charts Directly affects how quickly the indicator responds to new volume patterns Volatility Filter (volTrendVolatilityFilter): Adjusts significance of volume by factoring in current price volatility High volume during high volatility receives less weight High volume during low volatility receives more weight Helps distinguish between genuine volume-driven moves and volatility-driven moves EMA Alignment Weight (volTrendEmaWeight, range 0-1): Controls importance of EMA alignments in final VTR calculation Analyzes multiple EMA relationships (5, 10, 21 period) Higher values (0.7-1.0): Greater emphasis on trend structure Lower values (0.2-0.5): More focus on pure volume patterns Display Mode (volTrendDisplayMode): "Value": Shows only numerical score (0-100) "Strength": Shows only symbolic representation "Both": Shows numerical score and symbol together 3. Bollinger Band Squeeze Detection (SQZ) The BB Squeeze indicator identifies periods of low volatility when Bollinger Bands contract inside Keltner Channels, often preceding significant price movements. SQZ Visual Indicators "●" (Filled Circle): Strong squeeze - high probability setup for an impending breakout Green: Strong squeeze with bullish bias (likely upward breakout) Red: Strong squeeze with bearish bias (likely downward breakout) Orange: Strong squeeze with unclear direction "◯" (Hollow Circle): Moderate squeeze - medium probability setup Green: With bullish EMA alignment Red: With bearish EMA alignment Orange: Without clear directional bias "-" (Dash): Gray dash indicates no squeeze condition (normal volatility) The script identifies squeeze conditions through multiple methods: Bollinger Bands contracting inside Keltner Channels BB width falling to bottom 20% of recent range (BB width percentile) Very narrow Keltner Channel (less than 5% of basis price) Tracking squeeze duration in consecutive bars Different squeeze strengths are detected: Strong Squeeze: BB inside KC with tight BB width and narrow KC Moderate Squeeze: BB inside KC with either tight BB width or narrow KC No Squeeze: Normal market conditions 4. Breakout Detection System The script includes two breakout indicators working in sequence: 4.1 Pre-Breakout (PBK) Indicator Detects potential upcoming breakouts by analyzing multiple factors: Squeeze conditions lasting 2-3 bars or more Significant price ranges Strong volume confirmation EMA/MACD crossovers Consistent price direction PBK Visual Indicators "●" (Filled Circle): Detected pre-breakout condition Green: Likely upward breakout (bullish) Red: Likely downward breakout (bearish) Orange: Direction not yet clear, but breakout likely "-" (Dash): Gray dash indicates no pre-breakout condition The PBK uses sophisticated conditions to reduce false signals including minimum squeeze length, significant price movement, and technical confirmations. 4.2 Breakout (BK) Indicator Confirms actual breakouts in progress by identifying: End of squeeze or strong expansion of Bollinger Bands Volume expansion Price moving outside Bollinger Bands EMA crossovers with volume confirmation MACD crossovers with significant price range BK Visual Indicators "●" (Filled Circle): Confirmed breakout in progress Green: Upward breakout (bullish) Red: Downward breakout (bearish) Orange: Unusual breakout pattern without clear direction "◆" (Diamond): Special breakout conditions (meets some but not all criteria) "-" (Dash): Gray dash indicates no breakout detected The BK indicator uses advanced filters for confirmation: Requires consecutive breakout signals to reduce false positives Strong volume confirmation requirements (40% above average) Significant price movement thresholds Consistency checks between price action and indicators 5. Market Metrics and Analysis Price Change Percentage (CHG%) Displays the current percentage change relative to the previous day's close, color-coded green for positive changes and red for negative changes. Average Daily Range (ADR%) Calculates the average daily percentage range over a specified period (default 20 days), helping traders gauge volatility and set appropriate price targets. Average True Range (ATR) Shows the Average True Range value, a volatility indicator developed by J. Welles Wilder that measures market volatility by decomposing the entire range of an asset price for that period. Relative Strength Index (RSI) Displays the standard 14-period RSI, a momentum oscillator that measures the speed and change of price movements on a scale from 0 to 100. 6. External Market Indicators QQQ Change Shows the percentage change in the Invesco QQQ Trust (tracking the Nasdaq-100 Index), useful for understanding broader tech market trends. UVIX Change Displays the percentage change in UVIX, a volatility index, providing insight into market fear and potential hedging activity. BTC-USD Shows the current Bitcoin price from Coinbase, useful for traders monitoring crypto correlation with equities. Market Breadth (BRD) Calculates the percentage difference between ATHI.US and ATLO.US (high vs. low securities), indicating overall market direction and strength. 7. Session Analysis and Volume Direction Session Detection The script accurately identifies different market sessions: Pre-market: 4:00 AM to 9:30 AM Regular market: 9:30 AM to 4:00 PM After-hours: 4:00 PM to 8:00 PM Closed: Outside trading hours This detection works on any timeframe through careful calculation of current time in seconds. Buy/Sell Volume Direction The script analyzes buying and selling pressure by: Counting up volume when close > open Counting down volume when close < open Tracking accumulated volume within the day Calculating intraday pressure (up volume minus down volume) Enhanced AVOL Calculation The improved AVOL calculation works in all timeframes by: Estimating typical pre-market and after-hours volume percentages Combining yesterday's after-hours with today's pre-market volume Calculating this as a percentage of the 21-day average volume Determining buying/selling pressure by analyzing after-hours and pre-market price changes Color-coding results: green for buying pressure, red for selling pressure This calculation is particularly valuable because it works consistently across any timeframe. Customization Options Display Settings The dashboard has two customizable tables: Volume Table and Metrics Table, with positions selectable as bottom_left or bottom_right. All metrics can be individually toggled on/off: Pre-market data (PVOL, P$VOL, PRVOL, PCHG%) Volume data (AVOL, RVOL Day, RVOL 90D, Volume, SEED_YASHALGO_NSE_BREADTH:VOLUME ) Price metrics (ADR%, ATR, RSI, Price Change%) Market indicators (QQQ, UVIX, Breadth, BTC-USD) Analysis indicators (Volume Trend, BB Squeeze, Pre-Breakout, Breakout) These toggle options allow traders to customize the dashboard to show only the metrics they find most valuable for their trading style. Table and Text Customization The dashboard's appearance can be customized: Table background color via tableBgColor Text color (White or Black) via textColorOption The indicator uses smart formatting for volume and price values, automatically adding appropriate suffixes (K, M, B) for readability. MACD Configuration for VTR The Volume Trend calculation incorporates MACD with customizable parameters: Fast Length: Controls the period for the fast EMA (default 3) Slow Length: Controls the period for the slow EMA (default 9) Signal Length: Controls the period for the signal line EMA (default 5) MACD Weight: Controls how much influence MACD has on the volume trend score (default 0.3) These settings allow traders to fine-tune how momentum is factored into the volume trend analysis. Bollinger Bands and Keltner Channel Settings The Bollinger Bands and Keltner Channels used for squeeze detection have preset (hidden) parameters: BB Length: 20 periods BB Multiplier: 2.0 standard deviations Keltner Length: 20 periods Keltner Multiplier: 1.5 ATR These settings follow standard practice for squeeze detection while maintaining simplicity in the user interface. Practical Trading Applications Complete Trading Strategies 1. Squeeze Breakout Strategy This strategy combines multiple components of the indicator: Wait for a strong squeeze (SQZ showing ●) Look for pre-breakout confirmation (PBK showing ● in green or red) Enter when breakout is confirmed (BK showing ● in same direction) Use VTR to confirm volume supports the move (VTR ≥ 65 for bullish or ≤ 35 for bearish) Set profit targets based on ADR (Average Daily Range) Exit when VTR begins to weaken or changes direction 2. Volume Divergence Strategy This strategy focuses on the volume trend relative to price: Identify when price makes a new high but VTR fails to confirm (divergence) Look for VTR to show weakening trend (● changing to ◯ or ·) Prepare for potential reversal when SQZ begins to form Enter counter-trend position when PBK confirms reversal direction Use external indicators (QQQ, BTC, Breadth) to confirm broader market support 3. Pre-Market Edge Strategy This strategy leverages pre-market data: Monitor AVOL for unusual pre-market activity (significantly above 100%) Check pre-market price change direction (PCHG%) Enter position at market open if VTR confirms direction Use SQZ to determine if volatility is likely to expand Exit based on RVOL declining or price reaching +/- ADR for the day Market Context Integration The indicator provides valuable context for trading decisions: QQQ change shows tech market direction BTC price shows crypto market correlation UVIX change indicates volatility expectations Breadth measurement shows market internals This context helps traders avoid fighting the broader market and align trades with overall market direction. Timeframe Optimization The indicator is designed to work across different timeframes: For day trading: Focus on AVOL, VTR, PBK/BK, and use shorter momentum periods For swing trading: Focus on SQZ duration, VTR strength, and broader market indicators For position trading: Focus on larger VTR trends and use EMA alignment weight Advanced Analytical Components Enhanced Volume Trend Score Calculation The VTR score calculation is sophisticated, with the base score starting at 50 and adjusting for: Price direction (up/down) Volume relative to average (high/normal/low) Volume acceleration/deceleration Market conditions (bull/bear) Additional factors are then applied, including: MACD influence weighted by strength and direction Volume change rate influence (speed) Price/volume divergence effects EMA alignment scores Volatility adjustments Breakout strength factors Price action confirmations The final score is clamped between 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. Anti-False Signal Filters The indicator employs multiple techniques to reduce false signals: Requiring significant price range (minimum percentage movement) Demanding strong volume confirmation (significantly above average) Checking for consistent direction across multiple indicators Requiring prior bar consistency (consecutive bars moving in same direction) Counting consecutive signals to filter out noise These filters help eliminate noise and focus on high-probability setups. MACD Enhancement and Integration The indicator enhances standard MACD analysis: Calculating MACD relative strength compared to recent history Normalizing MACD slope relative to volatility Detecting MACD acceleration for stronger signals Integrating MACD crossovers with other confirmation factors EMA Analysis System The indicator uses a comprehensive EMA analysis system: Calculating multiple EMAs (5, 10, 21 periods) Detecting golden cross (10 EMA crosses above 21 EMA) Detecting death cross (10 EMA crosses below 21 EMA) Assessing price position relative to EMAs Measuring EMA separation percentage Recent Enhancements and Evolution Version 5.2 includes several improvements: Enhanced AVOL to show buying/selling direction through color coding Improved VTR with adaptive analysis based on market conditions AVOL display now works in all timeframes through sophisticated estimation Removed animal symbols and streamlined code with bright colors for better visibility Improved anti-false signal filters throughout the system Optimizing Indicator Settings For Different Market Types Range-Bound Markets: Lower EMA Alignment Weight (0.2-0.4) Higher Speed of Change Weight (0.8-1.0) Focus on SQZ and PBK signals for breakout potential Trending Markets: Higher EMA Alignment Weight (0.7-1.0) Moderate Speed of Change Weight (0.4-0.6) Focus on VTR strength and BK confirmations Volatile Markets: Enable Volatility Filter Enable Adaptive Volume Analysis Lower Momentum Period (2-3) Focus on strong volume confirmation (VTR ≥ 80 or ≤ 20) For Different Asset Classes Equities: Standard settings work well Pay attention to AVOL for gap potential Monitor QQQ correlation Futures: Consider higher Volume/RVOL weight Reduce MACD weight slightly Pay close attention to SQZ duration Crypto: Higher volatility thresholds may be needed Monitor BTC price for correlation Focus on stronger confirmation signals Integrated Visual System for Trading Decisions The colored circle indicators create an intuitive visual system for quick market assessment: Progression Sequence: SQZ (Squeeze) → PBK (Pre-Breakout) → BK (Breakout) This sequence often occurs in order, with the squeeze leading to pre-breakout conditions, followed by an actual breakout. VTR (Volume Trend): Provides context about the volume supporting these movements. Color Coding: Green for bullish conditions, red for bearish conditions, and orange/gray for neutral or undefined conditions.
Pine Script® indicator
by tommyttcat