Tripart Super Forex IndicatorOverview
The “Tripart Super Forex Indicator” is an advanced trading tool designed specifically for intraday trading and scalping. It combines the power of Exponential Moving Averages (EMAs), Average True Range (ATR), and the Relative Strength Index (RSI) to generate precise buy and sell signals. This indicator helps traders identify trend direction, volatility, and momentum, ensuring well-timed entry and exit points in the forex market.
What It Does
The Tripart Super Forex Indicator provides traders with the following:
1. Entry Signals: Buy and sell signals are generated based on the crossover of short-
term and long-term EMAs combined with ATR-based volatility filtering.
2. Exit Signals: Exit signals are generated using RSI to identify overbought and oversold
conditions, ensuring timely exits to lock in profits.
3. Trailing Stop-Loss: Dynamic trailing stop-loss levels are calculated using ATR to
manage risk effectively during trades.
How It Works
1. Exponential Moving Averages (EMAs):
• Short-term EMA: Represents recent price trends, reacting quickly to price changes.
• Long-term EMA: Represents longer price trends, providing a smoother view of the
market direction.
• Buy Signal: Generated when the short-term EMA crosses above the long-term EMA,
and the closing price is above the long-term EMA plus a multiple of the ATR.
• Sell Signal: Generated when the short-term EMA crosses below the long-term EMA,
and the closing price is below the long-term EMA minus a multiple of the ATR.
2. Average True Range (ATR):
• Measures market volatility.
• Used to filter out signals during low volatility periods, ensuring trades are only taken
during significant price movements.
• ATR is also used to calculate dynamic trailing stop-loss levels to protect gains and
manage risk.
3. Relative Strength Index (RSI):
• Measures the speed and change of price movements.
• Exit Buy Signal: Triggered when RSI falls below the overbought level minus a defined
threshold, indicating potential for price reversal.
• Exit Sell Signal: Triggered when RSI rises above the oversold level plus a defined
threshold, indicating potential for price reversal.
• Helps ensure exits are timely and consistent with momentum changes.
How to Use It
1. Adding the Indicator :
• Add the “Tripart Super Forex Indicator” to your chart from the TradingView library.
• The indicator will overlay buy and sell signals on the price chart and plot EMAs if
enabled.
2. Configuring Settings :
• Customize the EMA lengths, ATR length, ATR multiplier, RSI length, RSI overbought
and oversold levels, and RSI exit threshold to suit your trading strategy.
• Optionally enable or disable the display of EMAs and ATR on the chart for a cleaner
view.
3. Interpreting Signals :
• Buy Signal: Look for green “Buy” labels below the candlesticks indicating a potential
long entry.
• Sell Signal: Look for red “Sell” labels above the candlesticks indicating a potential
short entry.
• Exit Buy Signal: Look for yellow “Exit Buy” labels below the candlesticks indicating a
recommended exit from long positions.
• Exit Sell Signal: Look for orange “Exit Sell” labels above the candlesticks indicating a
recommended exit from short positions.
4. Risk Management :
• Use the dynamic trailing stop-loss levels plotted on the chart to manage open trades
and protect profits.
• Adjust the trailing stop multiplier based on your risk tolerance and market conditions.
Concepts Underlying Calculations
• Trend Detection: Utilizes the crossover of short-term and long-term EMAs to identify
trend direction and potential entry points.
• Volatility Filtering: Incorporates ATR to filter signals during low volatility periods,
ensuring trades are taken during significant price movements.
• Momentum-Based Exits: Uses RSI to detect overbought and oversold conditions for
timely exits, preventing premature or delayed exits.
By integrating these concepts, the Tripart Super Forex Indicator provides a comprehensive and robust tool for intraday trading and scalping, helping traders make informed decisions and improve their trading performance.
Feel free to reach out for further support or clarification on using the Tripart Super Forex Indicator. Happy trading!
Volatility
Volatility DashboardThis indicator calculates and displays volatility metrics for a specified number of bars (rolling window) on a TradingView chart. It can be customized to display information in English or Thai and can position the dashboard at various locations on the chart.
Inputs
Language: Users can choose between English ("ENG") and Thai ("TH") for the dashboard's language.
Dashboard Position: Users can specify where the dashboard should appear on the chart. Options include various positions such as "Bottom Right", "Top Center", etc.
Calculation Method: Currently, the script supports "High-Low" for volatility calculation. This method calculates the difference between the highest and lowest prices within a specified timeframe.
Bars: Number of bars used to calculate the volatility.
Display Logic
Fills the islast_vol_points array with the calculated volatility points.
Sets the table cells with headers and corresponding values:
=> Highest Volatility: The maximum value in the islast_vol_points array
=> Mean Volatility: The average value in the islast_vol_points array,
=> Lowest Volatility: The minimum value in the islast_vol_points array, Number of Bars: The rolling window size.
Volume True Range (VTR) and Volume Average True Range (VATR)This indicator uses lower-timeframe cumulative volume delta (CVD) candles to calculate the Volume True Range (VTR) of your instrument. The VTR is calculated similarly to the traditional true range, but uses volume instead (no price is involved in the calculation other than in the lower timeframe bar delta assignments). I haven't seen this concept developed before on TradingView or frankly the Internet, but I thought it seemed fairly intuitive; we can calculate the lower timeframe volume delta candles, so it makes sense to calculate a volume true range, which could show divergences in volume and price.
The VTR is calculated by the following code which uses the lower-timeframe CVD candles:
volumeTR = math.max(cvd_high - cvd_low, math.abs(cvd_high - nz(cvd_close )), math.abs(cvd_low - nz(cvd_close )))
The Volume Average True Range (VATR) is calculated by taking the RMA of the VTR, similarly to the ATR.
I would like to thank TradingView for the calculation of up/down intrabar volumes, which I referenced from their 'CVD - Cumulative Volume Delta Candles' indicator.
How to Use
The VTR and VATR can be used to identify price-volume trends and volatility divergences. A strong VTR (above the VATR of your specified length) can indicate the start or continuation of a trend, which you can identify via the VTR color (determined via price candle colors). Similarly, a rising VATR with most VTR bars of a specific color (green or red) will show that volume is moving in a specific price direction.
Additionally, the VATR plotted next to the ATR of the same length will show you volume volatility divergences. A strong VATR next to a muted/flat ATR indicates strong volume movement, which price might follow in the upcoming bars. Or, for trend reversals, a decreasing ATR after a strong trend combined with a rising VATR of the opposite trend may show a possible reversal.
Hope you all enjoy this.
-wbburgin
* Quick note: lower timeframe analysis returns only so much data. If you are on a high timeframe and the indicator is showing only a limited amount of bars, raise the lower timeframe (but still keep it below your current timeframe) so that the arrays can return more bars for you.
Volume_Surge_Saurabh[VSS]Description:
This is Screener can be used to screen stocks based on the volume surge.
If there is a Buy in a stock with a volume, it will help screen such names from the list of 40 stocks selected.
How does it work.
Script computes Average Volume of previous ’n’ days and Projected volume for the Timeframe.
It compares the both Volumes and if projected is more than average volume the stock by a multiple (called Volume Factor ), then the stock is screened and shown in a table.
Ex: Average Volume is 100, Projected Volume is 310 and Volume Factor of 3.
310>100*3, so stock would be displayed on to the screen with Stock Name, Volume Factor and Price Increase % in that timeframe
User can also include a Price increase Percentage to filter the stocks.
In above example if Price increase selected is of 1% , then stocks with a projected Volume of Volume Factor greater than 3 and price increase of 1%+ will be shown.
User can add a minimum volume of stock traded as well. For this Absolute Volume need to be selected and minimum values need to be provided as input
Ex. if 100k is minimum volume expected then condition would be:
Projected Volume with Volume Factor 3 , Price increase of 1% and Actual volume of 100k or more, then stock will be shown on the screen.
How to use:
The screener works by scanning through up to 40 symbols and list down symbols that are currently having a surge in Volume and Price
2) Projected, Absolute or Both as Volume increase condition
3) Price Increase Percentage condition can be selected
4) Scan upto 40 symbols at a time
5) Custom Timeframe can be used
VolCorrBeta [NariCapitalTrading]Indicator Overview: VolCorrBeta
The VolCorrBeta indicator is designed to analyze and interpret intermarket relationships. This indicator combines volatility, correlation, and beta calculations to provide a comprehensive view of how certain assets (BTC, DXY, CL) influence the ES futures contract (I tailored this indicator to the ES contract, but it will work for any symbol).
Functionality
Input Symbols
BTCUSD : Bitcoin to USD
DXY : US Dollar Index
CL1! : Crude Oil Futures
ES1! : S&P 500 Futures
These symbols can be customized according to user preferences. The main focus of the indicator is to analyze how the price movements of these assets correlate with and lead the price movements of the ES futures contract.
Parameters for Calculation
Correlation Length : Number of periods for calculating the correlation.
Standard Deviation Length : Number of periods for calculating the standard deviation.
Lookback Period for Beta : Number of periods for calculating beta.
Volatility Filter Length : Length of the volatility filter.
Volatility Threshold : Threshold for adjusting the lookback period based on volatility.
Key Calculations
Returns Calculation : Computes the daily returns for each input symbol.
Correlation Calculation : Computes the correlation between each input symbol's returns and the ES futures contract returns over the specified correlation length.
Standard Deviation Calculation : Computes the standard deviation for each input symbol's returns and the ES futures contract returns.
Beta Calculation : Computes the beta for each input symbol relative to the ES futures contract.
Weighted Returns Calculation : Computes the weighted returns based on the calculated betas.
Lead-Lag Indicator : Calculates a lead-lag indicator by averaging the weighted returns.
Volatility Filter : Smooths the lead-lag indicator using a simple moving average.
Price Target Estimation : Estimates the ES price target based on the lead-lag indicator (the yellow line on the chart).
Dynamic Stop Loss (SL) and Take Profit (TP) Levels : Calculates dynamic SL and TP levels using volatility bands.
Signal Generation
The indicator generates buy and sell signals based on the filtered lead-lag indicator and confirms them using higher timeframe analysis. Signals are debounced to reduce frequency, ensuring that only significant signals are considered.
Visualization
Background Coloring : The background color changes based on the buy and sell signals for easy visualization (user can toggle this on/off).
Signal Labels : Labels with arrows are plotted on the chart, showing the signal type (buy/sell), the entry price, TP, and SL levels.
Estimated ES Price Target : The estimated price target for ES futures is plotted on the chart.
Correlation and Beta Dashboard : A table displayed in the top right corner shows the current correlation and beta values for relative to the ES futures contract.
Customization
Traders can customize the following parameters to tailor the indicator to their specific needs:
Input Symbols : Change the symbols for BTC, DXY, CL, and ES.
Correlation Length : Adjust the number of periods used for calculating correlation.
Standard Deviation Length : Adjust the number of periods used for calculating standard deviation.
Lookback Period for Beta : Change the lookback period for calculating beta.
Volatility Filter Length : Modify the length of the volatility filter.
Volatility Threshold : Set a threshold for adjusting the lookback period based on volatility.
Plotting Options : Customize the colors and line widths of the plotted elements.
Composite Risk IndicatorThe Composite Risk Indicator is a financial tool designed to assess market risk by analyzing the spreads between various asset classes. This indicator synthesizes information across six key spreads, normalizing each on a scale from 0 to 100 where higher values represent higher perceived risk. It provides a single, comprehensive measure of market sentiment and risk exposure.
Key Components of the CRI:
1. Stock Market to Bond Market Spread (SPY/BND): Measures the performance of stocks relative to bonds. Higher values indicate stronger stock performance compared to bonds, suggesting increased market optimism and higher risk.
2. Junk Bond to Treasury Bond Spread (HYG/GOVT): Assesses the performance of high-yield (riskier) bonds relative to government (safer) bonds. A higher ratio indicates increased appetite for risk.
3. Junk Bond to Investment Grade Bond Spread (HYG/LQD): Compares high-yield bonds to investment-grade corporate bonds. This ratio sheds light on the risk tolerance within the corporate bond market.
4. Growth to Value Spread (VUG/VTV): Evaluates the performance of growth stocks against value stocks. A higher value suggests a preference for growth stocks, often seen in risk-on environments.
5. Tech to Staples Spread (XLK/XLP): Measures the performance of technology stocks relative to consumer staples. This ratio highlights the market’s risk preference within equity sectors.
6. Small Cap Growth to Small Cap Value Spread (SLYG/SLYV): Compares small-cap growth stocks to small-cap value stocks, providing insight into risk levels in smaller companies.
Utility:
This indicator is particularly useful for investors and traders looking to gauge market sentiment, identify shifts in risk appetite, and make informed decisions based on a broad assessment of market conditions. The CRI can serve as a valuable addition to investment analysis and risk management strategies.
IV Rank Oscillator by dinvestorqShort Title: IVR OscSlg
Description:
The IV Rank Oscillator is a custom indicator designed to measure and visualize the Implied Volatility (IV) Rank using Historical Volatility (HV) as a proxy. This indicator helps traders determine whether the current volatility level is relatively high or low compared to its historical levels over a specified period.
Key Features :
Historical Volatility (HV) Calculation: Computes the historical volatility based on the standard deviation of logarithmic returns over a user-defined period.
IV Rank Calculation: Normalizes the current HV within the range of the highest and lowest HV values over the past 252 periods (approximately one year) to generate the IV Rank.
IV Rank Visualization: Plots the IV Rank, along with reference lines at 50 (midline), 80 (overbought), and 20 (oversold), making it easy to interpret the relative volatility levels.
Historical Volatility Plot: Optionally plots the Historical Volatility for additional reference.
Usage:
IV Rank : Use the IV Rank to assess the relative level of volatility. High IV Rank values (close to 100) indicate that the current volatility is high relative to its historical range, while low IV Rank values (close to 0) indicate low relative volatility.
Reference Lines: The overbought (80) and oversold (20) lines help identify extreme volatility conditions, aiding in trading decisions.
Example Use Case:
A trader can use the IV Rank Oscillator to identify potential entry and exit points based on the volatility conditions. For instance, a high IV Rank may suggest a period of high market uncertainty, which could be a signal for options traders to consider strategies like selling premium. Conversely, a low IV Rank might indicate a more stable market condition.
Parameters:
HV Calculation Length: Adjustable period length for the historical volatility calculation (default: 20 periods).
This indicator is a powerful tool for options traders, volatility analysts, and any market participant looking to gauge market conditions based on historical volatility patterns.
Multi-Chart Widget [LuxAlgo]The Multi-Chart Widget tool is a comprehensive solution crafted for traders and investors looking to analyze multiple financial instruments simultaneously. With the capability to showcase up to three additional charts, users can customize each chart by selecting different financial instruments, and timeframes.
Users can add various widely used technical indicators to the charts such as the relative strength index, Supertrend, moving averages, Bollinger Bands...etc.
🔶 USAGE
The tool offers traders and investors a comprehensive view of multiple charts simultaneously. By displaying up to three additional charts alongside the primary chart, users can analyze assets across different timeframes, compare their performance, and make informed decisions.
Users have the flexibility to choose from various customizable chart types, including the recently added "Volume Candles" option.
This tool allows adding to the chart some of the most widely used technical indicators, such as the Supertrend, Bollinger Bands, and various moving averages.
In addition to the charting capabilities, the tool also features a dynamic statistic panel that provides essential metrics and key insights into the selected assets. Users can track performance indicators such as relative strength, trend, and volatility, enabling them to identify trends, patterns, and trading opportunities efficiently.
🔶 DETAILS
A brief overview of the indicators featured in the statistic panel is given in the sub-section below:
🔹Dual Supertrend
The Dual Supertrend is a modified version of the Supertrend indicator, which is based on the concept of trend following. It generates buy or sell signals by analyzing the asset's price movement. The Dual Supertrend incorporates two Supertrend indicators with different parameters to provide potentially more accurate signals. It helps traders identify trend reversals and establish trend direction in a more responsive manner compared to a single Supertrend.
🔹Relative Strength Index
The Relative Strength Index is a momentum oscillator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is typically used to identify overbought or oversold conditions in a market. Traditionally, RSI values above 70 are considered overbought, suggesting that the asset may be due for a reversal or correction, while RSI values below 30 are considered oversold, indicating potential buying opportunities.
🔹Volatility
Volatility in trading refers to the degree of variation or fluctuation in the price of a financial instrument, such as a stock, currency pair, or commodity, over a certain period of time. It is a measure of the speed and magnitude of price changes and reflects the level of uncertainty or risk in the market. High volatility implies that prices are experiencing rapid and significant movements, while low volatility suggests that prices are relatively stable and are not changing much. Traders often use volatility as an indicator to assess the potential risk and return of an investment and to make informed decisions about when to enter or exit trades.
🔹R-Squared (R²)
R-squared, also known as the coefficient of determination, is a statistical measure that indicates the proportion of the variance in the dependent variable that is predictable from the independent variable(s). In other words, it quantifies the goodness of fit of a regression model to the observed data. R-squared values range from %0 to %100, with higher values indicating a better fit of the model to the data. An R-squared of 100% means that all movements of a security are completely explained by movements in the index, while an R-squared value of %0 indicates that the model does not explain any of the variability in the dependent variable.
In simpler terms, in investing, a high R-squared, from 85% to 100%, indicates that the stock’s or fund’s performance moves relatively in line with the index. Conversely, a low R-squared (around 70% or less) indicates that the fund's performance tends to deviate significantly from the movements of the index.
🔶 SETTINGS
🔹Mini Chart(s) Generic Settings
Mini Charts Separator: This option toggles the visibility of the separator lines.
Number Of Bars: Specifies the number of bars to be displayed for each mini chart.
Horizontal Offset: Determines the distance at which the mini charts will be displayed from the primary chart.
🔹Mini Chart Settings: Top - Middle - Bottom
Mini Chart Top/Middle/Bottom: Toggle the visibility of the selected mini chart.
Symbol: Choose the financial instrument to be displayed in the mini chart. If left as an empty string, it will default to the current chart instrument.
Timeframe: This option determines the timeframe used for calculating the mini charts. If a timeframe lower than the chart's timeframe is selected, the calculations will be based on the chart's timeframe.
Chart Type: Selection from various chart types for the mini charts, including candles, volume candles, line, area, columns, high-low, and Heikin Ashi.
Chart Size: Determines the size of the mini chart.
Technical Indicator: Selection from various technical indicators to be displayed on top of the mini charts.
Note : Chart sizing is relative to other mini charts. For example, If all the mini charts are sized to x5 relative to each other, the result will be the same as if they were all sized as x1. This is because the relative proportions between the mini charts remain consistent regardless of their absolute sizes. Therefore, their positions and sizes relative to each other remain unchanged, resulting in the same visual representation despite the differences in absolute scale.
🔹Supertrend Settings
ATR Length: is the lookback length for the ATR calculation.
Factor: is what the ATR is multiplied by to offset the bands from price.
Color: color customization option.
🔹Moving Average Settings
Type: is the type of the moving average, available types of moving averages include SMA (Simple Moving Average), EMA (Exponential Moving Average), RMA (Root Mean Square Moving Average), HMA (Hull Moving Average), WMA (Weighted Moving Average), and VWMA (Volume Weighted Moving Average).
Source: Determines what data from each bar will be used in calculations.
Length: The time period to be used in calculating the Moving Average.
Color: Color customization option.
🔹Bollinger Bands Settings
Basis Type: Determines the type of Moving Average that is applied to the basis plot line.
Source: Determines what data from each bar will be used in calculations.
Length: The time period to be used in calculating the Moving Average which creates the base for the Upper and Lower Bands.
StdDev: The number of Standard Deviations away from the Moving Average that the Upper and Lower Bands should be.
Color: Color customization options for basis, upper and lower bands.
🔹Mini Chart(s) Panel Settings
Mini Chart(s) Panel: Controls the visibility of the panel containing the mini charts.
Dual Supertrend: Toggles the display of the evaluated dual super trend, based on the super trend settings provided below the option. The definitions for the options are the same as stated above for the super trend.
Relative Strength Index: Toggles the display of the evaluated RSI, based on the source and length settings provided below the option.
Volatility: Toggles the display of the calculated Volatility, based on the length settings provided below the option.
R-Squared: Toggles the display of the calculated R-Squared (R²), based on the length settings provided below the option.
🔶 LIMITATIONS
The tool allows users to display mini charts featuring various types of instruments alongside the primary chart instrument. However, there's a limitation: the selected primary chart instrument must have an ACTIVE market status. Alternatively, if the primary chart instrument is not active, the mini chart instruments must belong to the same exchange and have the same type as the primary chart instrument.
Trend Maestro - Linear Regression & Volatility BandsTrend Maestro - Linear Regression & Volatility Bands
Description:
The "Trend Maestro - Linear Regression & Volatility Bands" indicator is meticulously designed to provide traders with a clear understanding of market trends through the application of linear regression techniques and enhanced market data visualization. This tool is essential for traders looking to interpret long-term trends and market stability. Here's how the indicator functions and what makes it a unique addition to your trading toolkit:
1. Linear Regression Calculation:
At the heart of this indicator lies the linear regression calculation, which identifies the primary trend direction over a specified period. It does this by computing a line of best fit through the closing prices, helping to smooth out price fluctuations and highlight the prevailing trend direction. Users have the flexibility to adjust both the length of the regression and the offset period, enabling them to tailor the indicator's responsiveness to different market conditions.
2. Visualization Through Volatility Bands:
The volatility bands, plotted at half, one, two, and three standard deviations around the linear regression line, serve primarily as a visualization tool rather than a basis for investment decisions.
These bands:
Measure the dispersion of price from the trend line, providing a graphical representation of volatility.
Help traders visually assess the market's stability and the reliability of the current trend, with broader bands indicating higher volatility and narrower bands suggesting more stability.
3. Customization Features:
The indicator offers customization options including toggle switches for bar color and the display of SD bands, enhancing visual clarity. These settings allow traders to personalize the display according to their visual preferences and analysis requirements.
By incorporating these elements, the "Trend Maestro - Linear Regression & Volatility Bands" indicator offers a framework for understanding market trends through both quantitative calculations and qualitative visual aids. This makes it a valuable tool for those looking to make informed decisions based on longer-term market observations.
Reversal Zones with SignalsThe "Reversal Zones with Signals" indicator is an advanced technical analysis tool designed to help traders identify potential market reversal points. By integrating Relative Strength Index (RSI), moving averages, and swing high/low detection, this indicator provides traders with clear visual cues for potential buy and sell opportunities.
Key Features and Benefits
Integration of Multiple Technical Analysis Tools:
The indicator seamlessly combines RSI, moving averages, and swing high/low detection. This multi-faceted approach enhances the reliability of the signals by confirming potential reversals through different technical analysis perspectives.
Customizable Parameters:
Users can adjust the sensitivity of the moving averages, the RSI overbought and oversold levels, and the length of the reversal zones. This flexibility allows traders to tailor the indicator to fit their specific trading strategies and market conditions.
Clear Visual Signals:
Buy and sell signals are plotted directly on the chart as easily recognizable green and red labels. This visual clarity simplifies the process of identifying potential entry and exit points, enabling traders to act quickly and decisively.
Reversal Zones:
The indicator plots reversal zones based on swing highs and lows in conjunction with RSI conditions. Green lines represent potential support levels (zone bottoms), while red lines represent potential resistance levels (zone tops). These zones provide traders with clear areas where price reversals are likely to occur.
Automated Alerts:
Custom alerts can be set for both buy and sell signals, providing real-time notifications when potential trading opportunities arise. This feature ensures that traders do not miss critical market moves.
How It Works
RSI Calculation:
The Relative Strength Index (RSI) is calculated to determine overbought and oversold conditions. When RSI exceeds the overbought threshold, it indicates that the market may be overbought, and when it falls below the oversold threshold, it indicates that the market may be oversold. This helps in identifying potential reversal points.
Swing High/Low Detection:
Swing highs and lows are detected using a specified lookback period. These points represent significant price levels where reversals are likely to occur. Swing highs are detected using the ta.pivothigh function, and swing lows are detected using the ta.pivotlow function.
Reversal Zones:
Reversal zones are defined by plotting lines at swing high and low levels when RSI conditions are met. These zones serve as visual cues for potential support and resistance areas, providing a structured framework for identifying reversal points.
Buy and Sell Signals:
Buy signals are generated when the price crosses above a defined reversal zone bottom, indicating a potential upward reversal. Sell signals are generated when the price crosses below a defined reversal zone top, indicating a potential downward reversal. These signals are further confirmed by the presence of bullish or bearish engulfing patterns.
Plotting and Alerts:
The indicator plots buy and sell signals directly on the chart with corresponding labels. Additionally, alerts can be set up to notify the user when a signal is generated, ensuring timely action.
Originality and Usefulness
Innovative Integration of Technical Tools:
The "Reversal Zones with Signals" indicator uniquely combines multiple technical analysis tools into a single, cohesive indicator. This integration provides a comprehensive view of market conditions, enhancing the accuracy of the signals and offering a robust tool for traders.
Enhanced Trading Decisions:
By providing clear and actionable signals, the indicator helps traders make better-informed decisions. The visualization of reversal zones and the integration of RSI and moving averages ensure that traders have a solid framework for identifying potential reversals.
Flexibility and Customization:
The customizable parameters allow traders to adapt the indicator to different trading styles and market conditions. This flexibility ensures that the indicator can be used effectively by a wide range of traders, from beginners to advanced professionals.
Clear and User-Friendly Interface:
The indicator's design prioritizes ease of use, with clear visual signals and intuitive settings. This user-friendly approach makes it accessible to traders of all experience levels.
Real-Time Alerts:
The ability to set up custom alerts ensures that traders are notified of potential trading opportunities as they arise, helping them to act quickly and efficiently.
Versatility Across Markets:
The indicator is suitable for use in various financial markets, including stocks, forex, and cryptocurrencies. Its adaptability across different asset classes makes it a valuable addition to any trader's toolkit.
How to Use
Adding the Indicator:
Add the "Reversal Zones with Signals" indicator to your chart.
Adjust the parameters (Sensitivity, RSI OverBought Value, RSI OverSold Value, Zone Length) to match your trading strategy and market conditions.
Interpreting Signals:
Buy Signal: A green "BUY" label appears below a bar, indicating a potential buying opportunity based on the detected reversal zone and price action.
Sell Signal: A red "SELL" label appears above a bar, indicating a potential selling opportunity based on the detected reversal zone and price action.
Setting Alerts:
Set alerts for buy and sell signals to receive notifications when potential trading opportunities arise. This ensures timely action and helps traders stay informed about critical market moves.
drkhashix Candle Power Comparison with RSIThis indicator, named "drkhashix Candle Power Comparison with RSI" or "RSI+CPC", first calculates the strength of green and red candles based on the average of two periods. The number one indicates a normal average. The higher the lines move, the stronger the candle powers become, and conversely, the lower they move, the weaker the powers become.
We have four types of power: the power of bullish candles, the power of bearish candles, the total power of both, and the average power. The power of bullish candles is determined based on the height of bullish candles over two specified periods, and the power of bearish candles is determined based on the height of bearish candles over the same periods.
We also have Total Power (the sum of bullish and bearish candle powers) and Average Power (the sum of bullish and bearish candle powers divided by two). These are auxiliary tools that can be disabled in the settings.
The indicator's color zones consist of three levels: lightly colored, strongly colored, and very strongly colored. The more intense the colors, the greater the power they represent. These zones are as follows:
Lightly Colored Zone: If the power of bullish candles is greater than the power of bearish candles, and vice versa.
Strongly Colored Zone: If the power of bullish candles is greater than a specified value for Static Line 1, and the power of bearish candles is less than that value, and vice versa.
Very Strongly Colored Zone: If the power of bullish candles is greater than Static Line 2, and the power of bearish candles is less than Static Line 1, and vice versa.
Additionally, we have added the RSI indicator to allow you to receive trading signals using only the color zones and RSI.
Show the power of green candles
Show the power of red candles
Display the average power of the candles
Display the total power of Candle Power
Display the amount of RSI
Showing colored shadows based on the power of the candles
A suggested strategy based on this indicator can be:
Whenever the RSI, which is the white line, reaches the overbought area and the strength of the bearish candles, indicated by the red lines, is greater than the strength of the bullish candles, indicated by the green lines, you can open a sell trade. Conversely, whenever the RSI, which is the white line, reaches the oversold area and the strength of the bullish candles, indicated by the green lines, is greater than the strength of the bearish candles, indicated by the red lines, you can open a buy trade.
I don't have any more explanations for this indicator, the only thing I know is that this is a useful indicator and I use this indicator in building my robots and I have gotten good results from this indicator in trading robots, I hope PineCoders should not delete this indicator because I have tried to publish this indicator four times, each time it told me that the description is insufficient. What more should I explain about a simple indicator?
Harmonic Rolling VWAP (Zeiierman)█ Overview
The Harmonic Rolling VWAP (Zeiierman) indicator combines the concept of the Rolling Volume Weighted Average Price (VWAP) with advanced harmonic analysis using Discrete Fourier Transform (DFT). This innovative indicator aims to provide traders with a dynamic view of price action, capturing both the volume-weighted price and underlying harmonic patterns. By leveraging this combination, traders can gain deeper insights into market trends and potential reversal points.
█ How It Works
The Harmonic Rolling VWAP calculates the rolling VWAP over a specified window of bars, giving more weight to periods with higher trading volume. This VWAP is then subjected to harmonic analysis using the Discrete Fourier Transform (DFT), which decomposes the VWAP into its frequency components.
Key Components:
Rolling VWAP (RVWAP): A moving average that gives more weight to higher volume periods, calculated over a user-defined window.
True Range (TR): Measures volatility by comparing the current high and low prices, considering the previous close price.
Discrete Fourier Transform (DFT): Analyzes the harmonic patterns within the RVWAP by decomposing it into its frequency components.
Standard Deviation Bands: These bands provide a visual representation of price volatility around the RVWAP, helping traders identify potential overbought or oversold conditions.
█ How to Use
Identify Trends: The RVWAP line helps in identifying the underlying trend by smoothing out short-term price fluctuations and focusing on volume-weighted prices.
Assess Volatility: The standard deviation bands around the RVWAP give a clear view of price volatility, helping traders identify potential breakout or breakdown points.
Find Entry and Exit Points: Traders can look for entries when the price is near the lower bands in an uptrend or near the upper bands in a downtrend. Exits can be considered when the price approaches the opposite bands or shows harmonic divergence.
█ Settings
VWAP Source: Defines the price data used for VWAP calculations. The source input defines the price data used for calculations. This setting affects the VWAP calculations and the resulting bands.
Window: Sets the number of bars used for the rolling calculations. The window input sets the number of bars used for the rolling calculations. A larger window smooths the VWAP and standard deviation bands, making the indicator less sensitive to short-term price fluctuations. A smaller window makes the indicator more responsive to recent price changes.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
IndexogramIndexogram is a platform designed to help traders analyze the Commitment of Traders (COT) report data. It specifically focuses on the Rate Of Change (ROC) of the COT data, visualized using a unique polyline plotting technique.
Commitments of Traders % Rate Of Change (%ROC):
The COT %ROC indicates the momentum of trader positions over a specified period. This measure is crucial for understanding shifts in market sentiment and potential future price movements.
Unique Polyline Plotting Technique:
Unlike traditional line or bar charts, the polyline plotting technique used in Indexogram offers a more nuanced and detailed view of the %ROC data.
Multiple Ticker Monitoring:
Indexogram allows the setup of up to five different tickers. Traders can assign different weightages to these tickers, enabling a customized and weighted view of their %ROC data. This feature is beneficial for tracking a diversified portfolio or comparing different assets.
Average ROI Plot:
An additional feature is the Average ROI plot, which provides the average return on investment (ROI) of the five selected tickers. This plot helps traders quickly assess the overall performance of their monitored assets.
Strategy for Traders
Diversified Monitoring:
By setting up five different tickers with varying weightages, traders can diversify their monitoring efforts across different assets or markets. This diversification helps in reducing risk and identifying opportunities in different sectors or asset classes.
Weightage Customization:
Assign weightages based on market conditions or personal trading strategy. For example, if a trader believes that commodities are likely to outperform equities in the near term, they can assign a higher weightage to commodities-related tickers.
Analyzing %ROC Trends:
Use the polyline plots to identify significant %ROC trends. A rising %ROC might indicate increasing momentum and a potential buying opportunity, while a falling %ROC could signal decreasing momentum and a potential selling opportunity.
Average ROI Analysis:
Use the Average ROI plot to gauge the overall performance of the selected assets. If the average ROI is positive and trending upwards, it indicates a generally favorable market condition for the monitored assets.
Tactical Adjustments:
Regularly review and adjust the selected tickers and their weightages based on changing market conditions, news, and personal insights. This flexibility allows traders to adapt their strategy in response to new information.
Important Notes:
Indexogram is a tool to identify potential tradings, not a guaranteed predictor of future price movements.
Trade Exit Calculator [MarketSignalsPro]█ OVERVIEW
This Pine Script calculates a Stop Loss and Take Profit order suggestion based on the Average True Range (ATR). This provides a market generated visual reference for the user to better gauge risk and profit potential for their trades. This is not a trade signal system, it is a tool best used in conjunction with an existing system.
█ FEATURES
Inputs:
stopLossMultiplier and takeProfitMultiplier : These are input parameters that allow the user to adjust the multiplier for calculating stop loss and take profit levels.
longIndicator : This input parameter determines whether the script is calculating levels for a long setup (buy) or a short setup (sell).
Variable Initialization:
Various variables are initialized to manage labels, lines, and calculated stop loss and take profit levels.
ATR (Average True Range) is calculated using a period of 14.
Calculation of Stop Loss and Take Profit:
Depending on the value of longIndicator stop loss and take profit levels are not calculated the same way.
For long setups, stop loss is calculated below the closing price and take profit above, while for short setups, it's the opposite.
The calculation involves multiplying the ATR value by the user-defined multipliers and adding or subtracting from the closing price accordingly.
Plotting Lines:
Lines representing the calculated stop loss, take profit, and entry price are plotted on the chart.
Displaying Labels:
Labels displaying the calculated stop loss, take profit, and entry price are shown on the chart alongside the respective lines.
Updating and Deleting Objects:
Existing lines and labels are updated or deleted to ensure only the most recent levels are displayed on the chart.
Final Output:
The script outputs visual representations of stop loss, take profit, and entry price levels on the chart, providing traders with guidance for risk management and profit-taking strategies based on the volatility of the market.
█ CONCLUSION
In summary, this Pine Script enhances trading strategies by calculating and illustrating stop loss and take profit levels based on the Average True Range indicator, offering traders a structured way to manage risk and profit potential.
█ THANKS
Special thanks to Cryptosnagger for taking the time to build this Pine Script and share it freely with the community.
Liquidity Dependent Price Stability AlgorithmThe Liquidity Dependent Price Stability (LDPS) indicator is designed to measure liquidity levels on an equity and, from those measurements, provide Bullish or Bearish outlooks for future price action. These outlooks are given via reporting the equity's Liquidity Condition and Liquidity Flow.
Interpretation
Liquidity Condition (LC) and Liquidity Flow (LF) measurements are displayed with color-specific chart colors and/or with text output.
LC can be reported as "Weak Bullish", "Bullish", or "Strong Bullish" for Bullish outlooks and "Weak Bearish", "Bearish" or "Strong Bearish" for Bearish outlooks. LC can also just be reported as "Bullish" or "Bearish".
Bullish LCs have a statistical correlation with future price appreciation, and Bearish LCs have a statistical correlation with price depreciation. When LC is “Bullish”, the price is likely to go up, and if LC is “Bearish”, the price is likely to go down.
Liquidity Flow (LF) is a measure of how LC is changing. When LC is becoming more bullish, LF is reported as “Improving”. When LC is becoming more bearish, LF is reported as “Worsening”. LF is only displayed via text output.
Settings and Configurations
LDPS Sensitivity and Reactivity: Determines if you want LDPS to be more sensitive to changing conditions or less sensitive. This choice affects how certain LDPS is when forming its future outlooks. LDPS achieves this increase in sensitivity and reactivity by lowering the bar for what LDPS considers a significant change.
Aggressive : LDPS will optimize reporting early changes in LC and LF at the expensive of accuracy. Aggressive is good for low-risk trading styles that prefer to exit a position early rather than deal with increased risk of oppositional movement.
Balanced : LDPS will try to balance reporting changes in LC and LF with maintaining accuracy. Balanced style is a good setting to start out with and is applicable across the widest range of equity’s and timeframes.
Conservative : LDPS will optimize accuracy over being sensitive to changes in LC or LF. Conservative is a good choice for lower timeframes and traders who only want to change or exit positions with the greatest confidence.
LDPS Reporting Style: Determines how you want LC to be reported.
Simplified : LDPS will only report LC as “Bullish” or “Bearish”.
Full : LDPS will increase its reporting details and include the “Strong” and “Weak” pre-fixes, when appropriate.
LDPS Candle Coloring: There are three different ways that LC can be reported on the chart via coloring.
LDPS Candle Replacement: This will replace the chart’s default candles with those created by LDPS. Note: In order to see LDPS’ candles and not the chart’s, you have to disable to chart’s candles. This can be done in Settings -> Symbol and unchecking “Body”, “Borders” and “Wick” boxes.
LDPS Candle Coloring: This will just color the bodies of the chart’s default candles. Note: This setting should not have the chart’s candle’s disabled.
LDPS Background Coloring: This will color the chart’s background rather than any candles.
LDPS Text Output: LC and LF are reported via a text box that can be moved several places on the chart, or the text box can be removed.
LDPS Measurements – Display: When selected, LC and LF will be reported via the text box.
LDPS Measurement – Text Location: Determines where the text box with LC and LF are located.
LDPS Measurement – Text Size: Determines the size of LC and LF within the text box.
LDPS Measurement – Background Color: Determines the background color of the text box with LC and LF.
LDPS Condition Color Selection – Bullish / Bearish: Color selection for each type of LC. Note: If the Simplified reporting style is selected, the “Full Bullish” and “Full Bearish” are the bullish and bearish color choices, respectively.
Frequently Asked Questions:
Where can I get additional Information?
Please check the “Author’s Instructions” section below.
Where can I find the results of the LDPS research?
Please check the “Author’s Instructions” section below.
Help! Something’s not working!
Apologies. Please see the email listed in “Author’s Instructions” below and let’s get started on solving the issue.
Which Sensitivity setting should I use?
The author’s preference is Conservative in most cases, but the answer for you depends on your preferred style.
An analogy might help: the aggressive setting will ensure LDPS is early to the party – every party. Of the parties that really kick off, you can be certain LDPS is there, but they had to visit a several of parties before finding the right one.
The Conservative setting won’t bring LDPS to every party – it will gladly stay at the one it’s at but when it detects the next real big hit, LDPS will move to that party instead. It won’t be the first one there, but it is definitely earlier than most.
Should I use the Full or Simplified reporting style?
Depending on how engaged you are with the particular equity or position, either choice can be beneficial. The Full reporting style will let you detect changes in LC before they might show with the Simplified reporting style. Some enjoy the additional data, some (like the Author) enjoy keeping things simple.
I can see LDPS’ colors in the chart’s candlesticks when the settings are open, but not when the settings are closed. How come?
If you are using the “LDPS Candle Replacement” setting, be sure to turn off the Chart’s default candles by right-clicking on the chart, going to Settings, then Symbol and then un-checking “Body”, “Border” and “Wick”. This should fix the issue.
I think there’s a bug – where do I report it?
Thank you for reaching out about a potential bug or issue! Please see the email below in “Author’s Instructions” to report the issue.
LDPM Crossover Scanner AddonThe LDPM Crossover Scanner is designed to be used in conjunction with the Liquidity Dependent Price Movement Algorithm and is included with LDPM access.
The LDPM Crossover Scanner displays the LDPM status for up to 10 equity's. When conditions are bearish, per LDPM, the equity will light up on the scanner; otherwise, the equity will not light up.
When used in aggregate, this becomes a particularly useful way to measure up-coming market moves (especially when the crossover scanner showcases equities with significant beta to the chart's underlying!).
Liquidity Dependent Price Movement AlgorithmLiquidity-Dependent Price Movement (LDPM) is a metric designed to directly measure liquidity on a equity in real time, and to translate those measurements into signals to provide insights into where the anticipate price-direction is headed.
Liquidity can be characterized as a way of measuring how smoothly things are running in the market. When things are running smoothly – such as when there is good agreement as to the price of an asset, then things are considered liquid. Conversely, when things are not running smoothly, just as when the bid or the ask do not agree with each other, then things are considered not liquid. These different states have different outcome liklihoods.
In a liquid environment, a stock can trade a lot of shares without moving the price. On the other hand, when a stock is not liquid, even small volumes can move the price substantially.
It is therefore helpful to know when a stock is liquid to the upside or to the downside, or even, when a stock is not liquid to the upside or the downside. These data have statistical associations with future price movement and volatility.
The use of LDPM is straightforward:
If the price is above LDPM: bullish outlooks.
If the price is below LDPM: bearish outlooks.
There are a few key differences about LDPM as compared to other indicators, namely that timeframe matters . That means, LDPM will tailor its output to the timeframe selected. The advantage of this is that it allows LDPM to be "tailored" to the specific timeframe as desired, without having to do any conversions or adaptations mentally.
Key Settings and Configurations:
Setting - Smoothing Type of LDPM :
Default: KF.
LDPM can be smoothened if desired. There are 5 different types of smoothing available:
EMA : Exponential Smoothing
SMA : Simple Smoothing
WMA : Weighted Smoothing
RMA : Modified Smoothing
KF : Kellman Smoothing
The default is "KF" for Kellman Smoothing.
Setting - Include LDPM-Granular :
Default: Off.
LDPM-Granular is the more "raw" form of LDPM that displays the candle-specific result, rather than the smoothened result. This can be toggled on or off, if desired. LDPM granular is helpful for looking at candle-specific
Setting - Place LDPM Standard :
Default: Off.
An additional, single, LDPM line can be placed via this toggle. Settings for this LDPM can be configured directly below toggle.
Setting - Place LDPM-Fib :
Default: On.
LDPM-Fib is a default setting for displaying 5 LDPMs (LDPM-13, LDPM-21, LDPM-34, LDPM-55, and LDPM-89) whose lookbacks are spaced via the Fib sequence. Useful for those who enjoy a static relationship between the different "layers" of LDPM.
Setting - Place LDPM-Reference :
Default: Off.
Since LDPM is time-interval dependent, there may be times when a higher-order timeframe is desired to act as a reference. For instance, suppose you want to go long if the 1-Hour LDPM experiences a bullish crossover, but you want to scalp shorts on the 15-minute timeframe until then. Then you could place the chart on the 15-minute interval for your scalping, and then place a 1-Hour reference LDPM that will show you when the 1-Hour LDPM and price experience a crossover.
Note: The reference must be a higher-order timeframe. So if your chart is on the 15-minute, you can only reference timeframes greater than 15.
Setting - LDPM Box Creation :
Default: On.
Instead of implementing a reference LDPM, it is possible to display the other timeframes in a data table with conditional coloring for if the overall LDPM-Price relationship is bullish or bearish.
Why Chose LDPM
There are no other Liquidity-measuring indicators available to the retail investor. Measuring liquidity often requires the use of expensive data and high-throughput computing to be used in real-time. Neither of these requirements apply to utilizing LDPM.
Additionally, the data are supportive that LDPM provides statistically significant, price-direction-correct outlooks.
Volatility and Volume by Hour EXT(Extended republication, use this instead of the old one)
The goal of this indicator is to show a “characteristic” of the instrument, regarding the price change and trading volume. You can see how the instrument “behaved” throughout the day in the lookback period. I've found this useful for timing in day trading.
The indicator creates a table on the chart to display various statistics for each hour of the day.
Important: ONLY SHOWS THE TABLE IF THE CHART’S TIMEFRAME IS 1H!
Explanation of the columns:
1. Volatility Percentage (Volat): This column shows the volatility of the price as a percentage. For example, a value of "15%" means the price movement was 15% of the total daily price movement within the hour.
2. Hourly Point Change (PointCh): This column shows the change in price points for each hour in the lookback period. For example, a value of "5" means the price has increased by 5 points in the hour, while "-3" means it has decreased by 3 points.
3. Hourly Point Change Percentage (PrCh% (LeverageX)): This column shows the percentage change in price points for each hour, adjusted with leverage multiplier. Displayed green (+) or red (-) accordingly. For example, a value of "10%" with a leverage of 2X means the price has effectively changed by 5% due to the leverage.
4. Trading Volume Percentage (TrVol): This column shows the percentage of the daily total volume that was traded in a specific hour. For example, a value of "10%" would mean that 10% of the day's total trading volume occurred in that hour.
5. Added New! - Relevancy Check: The indicator checks the last 24 candle. If the direction of the price movement was the same in the last 24 hour as the statistical direction in that hour, the background of the relevant hour in the second column goes green.
For example: if today at 9 o'clock the price went lower, so as at 9 o'clock in the loopback period, the instrument "behaves" according to statistics . So the statistics is probably more relevant for today. The more green background row the more relevancy.
Settings:
1. Lookback period: The lookback period is the number of previous bars from which data is taken to perform calculations. In this script, it's used in a loop that iterates over a certain number of past bars to calculate the statistics. TIP: Select a period the contains a trend in one direction, because an upward and a downward trend compensate the price movement in opposite directions.
2. Timezone: This is a string input that represents the user's timezone. The default value is "UTC+2". Adjust it to your timezone in order to view the hours properly.
3. Leverage: The default value is 10(!). This input is used to adjust the hourly point change percentage. For FOREX traders (for example) the statistics can show the leveraged percentage of price change. Set that according the leverage you trade the instrument with.
Use at your own risk, provided “as is” basis!
Hope you find it useful! Cheers!
HilalimSBHilalimSB A Wedding Gift 🌙
HilalimSB - Revealing the Secrets of the Trend
HilalimSB is a powerful indicator designed to help investors analyze market trends and optimize trading strategies. Designed to uncover the secrets at the heart of the trend, HilalimSB stands out with its unique features and impressive algorithm.
Hilalim Algorithm and Fixed ATR Value:
HilalimSB is equipped with a special algorithm called "Hilalim" to detect market trends. This algorithm can delve into the depths of price movements to determine the direction of the trend and provide users with the ability to predict future price movements. Additionally, HilalimSB uses its own fixed Average True Range (ATR) value. ATR is an indicator that measures price movement volatility and is often used to determine the strength of a trend. The fixed ATR value of HilalimSB has been tested over long periods and its reliability has been proven. This allows users to interpret the signals provided by the indicator more reliably.
ATR Calculation Steps
1.True Range Calculation:
+ The True Range (TR) is the greatest of the following three values:
1. Current high minus current low
2. Current high minus previous close (absolute value)
3. Current low minus previous close (absolute value)
2.Average True Range (ATR) Calculation:
-The initial ATR value is calculated as the average of the TR values over a specified period
(typically 14 periods).
-For subsequent periods, the ATR is calculated using the following formula:
ATRt=(ATRt−1×(n−1)+TRt)/n
Where:
+ ATRt is the ATR for the current period,
+ ATRt−1 is the ATR for the previous period,
+ TRt is the True Range for the current period,
+ n is the number of periods.
Pine Script to Calculate ATR with User-Defined Length and Multiplier
Here is the Pine Script code for calculating the ATR with user-defined X length and Y multiplier:
//@version=5
indicator("Custom ATR", overlay=false)
// User-defined inputs
X = input.int(14, minval=1, title="ATR Period (X)")
Y = input.float(1.0, title="ATR Multiplier (Y)")
// True Range calculation
TR1 = high - low
TR2 = math.abs(high - close )
TR3 = math.abs(low - close )
TR = math.max(TR1, math.max(TR2, TR3))
// ATR calculation
ATR = ta.rma(TR, X)
// Apply multiplier
customATR = ATR * Y
// Plot the ATR value
plot(customATR, title="Custom ATR", color=color.blue, linewidth=2)
This code can be added as a new Pine Script indicator in TradingView, allowing users to calculate and display the ATR on the chart according to their specified parameters.
HilalimSB's Distinction from Other ATR Indicators
HilalimSB emerges with its unique Average True Range (ATR) value, presenting itself to users. Equipped with a proprietary ATR algorithm, this indicator is released in a non-editable form for users. After meticulous testing across various instruments with predetermined period and multiplier values, it is made available for use.
ATR is acknowledged as a critical calculation tool in the financial sector. The ATR calculation process of HilalimSB is conducted as a result of various research efforts and concrete data-based computations. Therefore, the HilalimSB indicator is published with its proprietary ATR values, unavailable for modification.
The ATR period and multiplier values provided by HilalimSB constitute the fundamental logic of a trading strategy. This unique feature aids investors in making informed decisions.
Visual Aesthetics and Clear Charts:
HilalimSB provides a user-friendly interface with clear and impressive graphics. Trend changes are highlighted with vibrant colors and are visually easy to understand. You can choose colors based on eye comfort, allowing you to personalize your trading screen for a more enjoyable experience. While offering a flexible approach tailored to users' needs, HilalimSB also promises an aesthetic and professional experience.
Strong Signals and Buy/Sell Indicators:
After completing test operations, HilalimSB produces data at various time intervals. However, we would like to emphasize to users that based on our studies, it provides the best signals in 1-hour chart data. HilalimSB produces strong signals to identify trend reversals. Buy or sell points are clearly indicated, allowing users to develop and implement trading strategies based on these signals.
For example, let's imagine you wanted to open a position on BTC on 2023.11.02. You are aware that you need to calculate which of the buying or selling transactions would be more profitable. You need support from various indicators to open a position. Based on the analysis and calculations it has made from the data it contains, HilalimSB would have detected that the graph is more suitable for a selling position, and by producing a sell signal at the most ideal selling point at 08:00 on 2023.11.02 (UTC+3 Istanbul), it would have informed you of the direction the graph would follow, allowing you to benefit positively from a 2.56% decline.
Technology and Innovation:
HilalimSB aims to enhance the trading experience using the latest technology. With its innovative approach, it enables users to discover market opportunities and support their decisions. Thus, investors can make more informed and successful trades. Real-Time Data Analysis: HilalimSB analyzes market data in real-time and identifies updated trends instantly. This allows users to make more informed trading decisions by staying informed of the latest market developments. Continuous Update and Improvement: HilalimSB is constantly updated and improved. New features are added and existing ones are enhanced based on user feedback and market changes. Thus, HilalimSB always aims to provide the latest technology and the best user experience.
Social Order and Intrinsic Motivation:
Negative trends such as widespread illegal gambling and uncontrolled risk-taking can have adverse financial effects on society. The primary goal of HilalimSB is to counteract these negative trends by guiding and encouraging users with data-driven analysis and calculable investment systems. This allows investors to trade more consciously and safely.
Advanced Stochastic [CryptoSea]The Advanced Stochastic Indicator is a sophisticated tool designed to enhance market analysis through detailed stochastic calculations. This tool is built for traders who seek to identify market divergences and pivot points with higher accuracy.
Key Features
Multi-Layer Stochastic Analysis: Tracks both standard and smoothed stochastic values to provide a granular view of market momentum.
Divergence Detection: Automatically detects both regular and hidden bullish and bearish divergences, offering critical insights into potential market reversals.
Adaptive Oscillator Display: Features customizable display options for the stochastic oscillator, allowing traders to view data in Default, Histogram, or Both modes.
Customizable Lookback Periods: Users can set specific lookback periods for divergence analysis and stochastic calculations, tailoring the tool to fit various trading strategies.
In the example below, there is a bearish divergence above 0. You would first want the stoch to break below the 0 level as a show of strength, this would be an aggressive entry, a higher probability option would be to wait for the stoch to retest and reject from 0 which is what we have a few candles later.
How it Works
Stochastic Calculation: Computes the stochastic oscillator by smoothing the %K line over a user-defined period, then applying a second smoothing for the %D line.
Pivot Point Analysis: Utilizes advanced algorithms to find low and high pivot points based on the oscillator values, crucial for spotting trend reversals.
Colour-Coded Divergence Alerts: Utilizes color codes to highlight divergence signals directly on the chart, aiding in quick visual analysis.
Responsive Threshold Settings: Includes options to adjust the sensitivity of divergence detection, ensuring that only significant divergences are highlighted.
In the example below, we have 2 divergence signals. The first a bullish one which fails to break above 0. The second signal is given above 0 so you would want a retest and a show of strength when the stoch returns to 0 but it fails to hold. Both of these divergence signals are invalidated.
Application
Strategic Decision-Making: Assists traders in making informed decisions by providing detailed analysis of stochastic movements and divergence.
Trend Confirmation: Reinforces trading strategies by confirming potential reversals with pivot point detection and divergence analysis.
Customized Analysis: Adapts to various trading styles with extensive input settings that control the display and sensitivity of oscillator data.
The Advanced Stochastic Indicator by is an invaluable addition to a trader's toolkit, offering depth and precision in market trend analysis to navigate complex market conditions effectively.
Donchian Trend Ranges [AlgoAlpha]🚀🔗 Donchian Trend Ranges 🔗🚀
Elevate your trading game with the Donchian Trend Ranges indicator from AlgoAlpha! 🌟📈 This advanced tool helps you visualize market trends and potential reversal points using Donchian channels, volatility measures, and average true range (ATR).
Key Features
⚙️ Customizable Parameters: Adjust the lookback period and range multiplier to fit your trading style.
🎨 Color-Coded Trends: Easily distinguish between uptrends and downtrends with customizable colors.
📊 Dynamic Channels: Visualize multiple dynamic channels based on Donchian ranges and volatility.
☁️ Trend Clouds: See market strength and weakness with upper and lower trend clouds.
🔔 Signal Alerts: Get notified of potential trend shifts and take profit points.
How to Use
🛠 Add the Indicator: Add the indicator to favorites. Customize settings such as the lookback period and range multiplier to match your trading needs.
🔍 Analyze Trends: The indicator calculates the highest and lowest prices over a specified period to create dynamic channels. It then uses standard deviation and ATR to adjust these channels for market volatility, plotting upper and lower ranges. Green bars indicate an up trend and red bars for a down trend.
🔔 Set Alerts: Enable notifications for bullish and bearish trend shifts, as well as weak and strong take profit points, ensuring you never miss an opportunity.
How it Works
The Donchian Trend Ranges indicator calculates the highest and lowest prices over a specified period to create a basis line. It creates a range around the basis based on standard deviations and the clouds' width is determined by a 14 period ATR. The basis line and bar colors changes based on whether the closing price is above or below it, indicating trends. Clouds around these lines represent market reversal zones that can be used as entry levels when used in confluence with momentum indicators, visual signals ("X" and "◆") marking strong and weak take profit points are also printed when the prices revert from the clouds towards the basis. Integrated alerts notify you of significant events like trend shifts and take profit signals, keeping you informed without constant monitoring.
Unleash the power of the Donchian Trend Ranges in your trading strategy! 🌐📈✨
ETH Long/Short Ratio BITFINEX - (ALPHRACTAL)Indicator Description: ETH Long/Short Ratio BITFINEX - (ALPHRACTAL)
The ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) indicator provides a detailed analysis of Ethereum (ETH) long and short positions in USD and USDT on the Bitfinex exchange. This indicator is ideal for traders who want to monitor market behavior and better understand the relationship between long and short positions.
Features:
USD and USDT Long/Short Ratio:
Calculates and displays the ratio between long and short ETH positions in USD and USDT.
Helps identify market trends and the relative strength between buyers and sellers.
Color Configuration:
Allows customization of chart colors for clear and distinct visualization of USD and USDT ratios.
Uses colors with adjustable transparency to enhance chart visibility.
Label Display:
Option to show or hide labels indicating the type of ratio (USD or USDT) at the latest chart value.
Labels are useful for quickly identifying the visualized ratio.
Display Control:
Option to enable or disable the display of individual USD and USDT ratio charts.
Flexibility to view only the relevant data for your analysis.
How to Use:
Add the indicator to your chart to visualize the long/short ratios of ETH in USD and USDT.
Adjust colors and transparency as per your preference for better visual distinction.
Use the option to show or hide labels for quick identification of the data.
Analyze the relationship between long and short positions to make informed trading decisions, observing market buying and selling trends.
Example Use Cases:
Market Sentiment Analysis: An increase in the Long/Short ratio may indicate bullish sentiment among traders, while a decrease may indicate bearish sentiment.
Identifying Opportunities: Significant discrepancies between USD and USDT ratios may signal arbitrage opportunities or alert to significant market movements.
This indicator is a powerful tool for Ethereum traders who want a deeper understanding of market behavior and the dynamics of long and short positions on Bitfinex. Add the ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) to your technical analysis toolkit and gain an edge in your trading strategy.
Color Stochastic IndicatorThis Pine Script™ indicator, "Color Stochastic Indicator," is designed to visualize the stochastic oscillator with color-coded trends and shaded background levels, providing a clearer understanding of market trends and potential trading signals.
Key Features:
Customizable Parameters:
K Period: The period for the %K line in the stochastic calculation (default: 50).
D Period: The period for the %D line, which is the moving average of %K (default: 13).
Slowing: The slowing factor applied to the stochastic calculation (default: 2).
Smoothing: A factor for additional smoothing of the stochastic values (default: 1.0).
Use Crossover: Option to determine trend based on the crossover of %K and %D lines.
Display Levels: Option to show significant stochastic levels on the chart (0.2, 0.5, 0.8).
Price Field: Selection of the price field used in calculations.
Stoch Width: Line width for the %K line.
Signal Width: Line width for the %D line.
Background Colors:
Upper Level Background: Shaded area between 0.5 and 0.8 with a customizable color.
Lower Level Background: Shaded area between 0.2 and 0.5 with a customizable color.
Color-Coded Trends:
Wait (Gray): Neutral state when no clear trend is detected.
Uptrend (Green): Indicates a potential buying signal.
Downtrend (Red): Indicates a potential selling signal.
Signal Line (Blue): Represents the %D line for clearer signal identification.
Alerts:
Customizable alerts trigger when the trend changes, providing timely notifications for potential trade opportunities.
How It Works:
Stochastic Calculation:
The %K line is calculated based on the selected K Period.
The %D line is a simple moving average (SMA) of the %K line over the D Period.
Additional smoothing is applied to both %K and %D lines using the specified Smoothing factor.
Fisher Transform:
The script applies a Fisher transform to the smoothed %K values, enhancing the clarity of trend signals.
Trend Determination:
If Use Crossover is enabled, the trend is determined based on the crossover of smoothed %K and %D lines.
If Use Crossover is disabled, the trend is determined based on whether the smoothed %K value is above or below 0.5.
Background Shading:
Fixed background colors are applied using hline and fill functions, highlighting the specified levels on the chart (0.2, 0.5, 0.8).
Plotting:
The smoothed %K line is plotted with color coding based on its value relative to the %D line and threshold levels.
The %D line is plotted for reference.
How to Use:
Adding the Indicator:
Copy and paste the provided Pine Script™ code into a new indicator script in TradingView.
Save and add the indicator to your desired chart.
Configuring Parameters:
Adjust the input parameters (K Period, D Period, Slowing, etc.) according to your trading strategy and preferences.
Enable or disable the Use Crossover option based on whether you prefer trend determination by crossover or threshold.
Interpreting Signals:
Observe the color-coded %K line to identify potential buy (green) and sell (red) signals.
Use the shaded background areas to quickly assess overbought (0.5 to 0.8) and oversold (0.2 to 0.5) conditions.
Monitor alerts for trend changes to take timely trading actions.
Alerts Setup:
Set up custom alerts based on the provided alert conditions to receive notifications when the trend changes.
Originality:
This script combines the stochastic oscillator with color-coding and background shading for enhanced visualization.
It introduces a unique Fisher transform application to the smoothed %K values.
The crossover and threshold-based trend determination options provide flexibility for different trading strategies.
Customizable alert messages help traders stay informed about trend changes in real time.
By incorporating these features, the "Color Stochastic Indicator" offers a comprehensive tool for traders seeking to leverage stochastic analysis with improved clarity and actionable insights.
