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Y/Q/M/W aVWAP BandsYearly, Quarterly, Monthly or Weekly VWAP with Standard Deviation Envelope Previous Y/Q/M/W VWAP and Band are extended forward automatically* VWAP standard deviation envelope serves as a kind of Value Area, with the boundaries of the envelope acting as support and resistance. Previous envelops often show confluence with price action once price retests them. Helpful to form a bias on the available time frames, find areas of support and resistance, and determine acceptance/rejection from breakouts or consolidations. * this is a unique feature of this script
Pine Script® indicator
by crypto_rife
MadriEsta estrategia fue creada por mi, basándose en el indicador bollinger bands+rsi y una ema , forexstrategiesresources me lo pasó a codigo y despues fue publicado en ChartArt y en la pagina web de forexstrategiesresources. Ahora este script lo he modificado para optimizarlo para BTC /USDT en la temporalidad de 1 hora, os invito a ir cambiando temporalidades y valores para conseguir la mayor rentabilidad y, al igual que yo lo publico en codigo abierto os invito a que pongáis vuestros ajustes en los comentarios. Los ajustes que se pueden cambiar para buscar mayor rentabilidad son en primer lugar "lo que se puede cambiar desde el mismo grafico" los valores "A" y "B". Además, en el codigo el valor "RSIoverSold" y el "RSIoverBought" por mi experencia con menos de 30 no suele ir bien y con mas de 70 tampoco, el rango adecuado es de 29 a 49, incluidos. Yo no he trasteado mucho pero también os invito a cambiar la fuente de entrada de "close" a "high", "open", "low"... Recomiendo para la configuración ACTUAL mismo símbolo, mismos valores operar las señales Short cuando el precio este por debajo de la EMA de 900 y operar las Long cuando este por encima. En otros símbolos la cosa cambia, hay que adaptarlo a cada cosa.
Pine Script® strategy
by Mdemoio
BB Order BlocksUsing the Bollinger Band to mark areas of Support and Resistance The scrip finds the highest and lowest levels of the bands to mark up futures areas of interest. If the High/Lows are being broken on the Bollinger band, or if the look back range has expired without finding new levels, the script will stop plotting them until new levels are found I have found many combinations which work well Changing the band length to to levels 20,50,100 or 200 seem to give interesting results Aswell as this changing the standard deviation to 3 instead of 2 marks up key levels. The look back range seems to show better levels on 50,100 and 200 Let me know any changes or updates you think you could make an impact , this was just a quick basic script I wanted to share.
Pine Script® indicator
by TradingWolf
9
Donchian Screener█ OVERVIEW This is a screener script for the Donchian Channel indicator . It's an excellent indicator for trend following, a trading strategy which tries to take advantage of long, medium or short-term moves that seem to play out in various markets. █ DESCRIPTION The screener works by scanning through up to 10 symbols and list down symbols that are currently breaking through the upper or lower band as definied by the Donchian Channels, at which point the market signals the start of a bullish or bearish trend. █ HOW TO USE After adding the indicator, open the script settings and type the symbol name and length to be used on the Donchian Channels for each stock. █ PARAMETERS - Use High/Low Price Breakouts: check this box if you want to use price high/low instead of price close to identify breakouts - Panel Position: choose whether you want to position the panel on the top, middle or bottom right side of the graph (default is top) - Default Timeframe: what timeframe to use on the screener (default is daily) - Ticker: the ticker name you want to monitor - Length: length parameter used on Donchian Channel indicator █ FEATURES The screener can scan up to 10 symbols each time. █ LIMITATIONS The screener will scan the symbols breaking out bands on the current bar, and as such, there maybe some delays depending on the stock/ etf /crypto you choose. Some exchanges require an additional subscription to get realtime data.
Pine Script® indicator
by starbolt
1
+ ALMA Trend DetectorHi, again. Here I have a nice moving average script designed to get you into trends and keep you in trends until the opportune moment comes to exit. And, as with any indicator, or suite of indicators, designed to get one into trends and keep him/her in a trend, they do not do so well in chop/ranging/mean reversion conditions, though I would say this one is better than most, otherwise I wouldn’t be fitting it into my trading system. This is a huge improvement, in my opinion, over an indicator I found recently, and like quite a bit by samsmilesam, which you can find here: www.tradingview.com In this adaptation of his script I changed a bunch of things, but kept the spirit of the indicator true. This indicator utilizes three different length Arnaud Legoux moving averages, known for being extremely low lag, and incredibly adjustable (though I find the original authors settings excellent). While he has buy and sell signals triggering regardless of the fast and slow ma’s position to the trending ma, I actually take the trending ma into account. Furthermore, I wouldn’t say I coded in signals indicating buying and selling, but that I coded in signs that answer the question “what kind of trend are we in?” as well as possible ideal trade exits (which couuuuuld also be taken as entries, but aren’t necessarily meant to). So, the deets on this: 1) 5 period, 20 period, and 70 period ALMAs. Fast, slow and trend. All customizable independent of each other (unlike the sam’s). All three also change color based on their own individual trends. 2) Uptrends are identified when price is closing above the Trend ma, and both Fast and Slow ma’s are above the Trend ma, and vice versa for downtrends. There are in-between points when a trend is not identified, and this is when price closes above or below the Trend ma, but the other two ma’s have not crossed it. Background color is used to identify the trend. 3) Trade exits are based on closing price and Fast and Slow ma’s relative to the Trend ma, once again. To signal exiting an uptrend price must close below both Fast and Slow ma’s and both Fast and Slow ma’s must be above the Trend ma; and vice versa for exiting a down trend. Obviously there may be false signals, but there are fewer signals, and I think it’s a better strategy than most. I prefer to filter out as much noise as possible. There’s little worse in my opinion than an indicator that gives too many false signals, but obviously it’s impossible to remove them all. Some discretion is necessary on the part of the trader. 4) So what does this mean for trade entries? Well, you can certainly enter a trade on a signal for an exit (go long on a short exit signal) if the chart looks good for that. Or you can wait for trend confirmation with the background color, entering on a pullback to the ma’s perhaps. Or you can enter in the “no man’s land” in between trends. If you’ve exited and price continues on trending your best bet would be to wait for a pullback into the ma’s or a s/r level, or look for the next candle that closes beyond the Fast and Slow ma’s. These are just thoughts of mine. 5) Lastly, there are alert conditions set for uptrends, downtrends and both long and short exits! Enjoy the indicator! I think with some sort of bands or channels for those times when the market is rangebound or in chop, you could really crush it with this.
Pine Script® indicator
by ClassicScott
25
Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals. 🔵 Key Features: Three Adaptive Bands: The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers. Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization. Signal System: Signals are generated when price interacts with the bands: Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend. Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation. Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal. The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust. Color-Coded Bands: Bands dynamically change color based on the trend direction: Green bands signify an uptrend. Brown bands signify a downtrend. Dynamic Trend Line Changes: Dashed lines highlight trend changes, helping traders visualize key turning points in the market. 🔵 Usage: Use the bands to identify trend direction and strength. Monitor the signal system to assess the level of price deviation and potential pullback strength. Combine Signal 1, 2, and 3 to confirm trend momentum: Signal 1 suggests a weaker pullback and continuation. Signal 2 indicates a stronger trend confirmation. Signal 3 highlights the strongest momentum and potential exhaustion points. Utilize the color-coded bands for an intuitive understanding of current market conditions. The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Pine Script® indicator
by BigBeluga
27
Multi Deviation VWAP [OmegaTools]The Multi Deviation VWAP is an original variation of the traditional VWAP indicator, designed to enhance your trading experience by providing more precise market insights. While the conventional VWAP calculates a single price level based on volume and price over a given period, the Multi Deviation VWAP goes a step further by introducing dynamic upper and lower bands that adapt to market conditions. These bands give traders a more comprehensive understanding of volatility and price action, making it an ideal tool for various trading strategies, especially for identifying potential price reversals or trend continuations. Key Features: Separate Calculation of Deviation Bands: Unlike traditional VWAP bands, where both the upper and lower bands are symmetrically calculated using a single deviation value, the Multi Deviation VWAP calculates the deviations independently for the upper and lower bands. This allows for a more accurate reflection of market dynamics. The upper deviation band is based on the average distance of closing prices above the VWAP, while the lower deviation band considers the average distance of closing prices below the VWAP. This separation provides a more tailored approach, adapting to whether the market is showing bullish or bearish momentum, as opposed to a fixed, equal deviation in both directions. Internal and External Bands: Two sets of deviation bands are plotted: Internal Bands and External Bands, controlled by user inputs (factorone for internal and factortwo for external). These bands offer multiple levels of support and resistance based on market volatility. The Internal Bands are closer to the VWAP and act as the first level of support/resistance, suitable for short-term or tighter trading ranges. The External Bands are further from the VWAP and capture more significant market swings, useful for identifying larger trends or setting wider stop-losses. Timeframe Flexibility: The indicator allows traders to select the desired timeframe (1D by default) over which the VWAP and its deviation bands are calculated. This flexibility enables users to adapt the indicator to different trading styles, from intraday scalping to longer-term trend analysis. Visual Enhancements: Bullish and Bearish Colors: The bands are color-coded for quick visual interpretation. Bullish bands (lower deviations) are colored blue, while bearish bands (upper deviations) are colored red, making it easy to differentiate between market conditions at a glance. Plot Fill: The area between the internal and external bands is shaded, providing clear visual zones of potential price containment, aiding in understanding the market structure and anticipating price movements. How It Differs from a Standard VWAP: Traditional VWAP provides a single price line that represents the volume-weighted average price over a given period, often used to identify general price trends. In contrast, the Multi Deviation VWAP introduces upper and lower bands calculated separately based on price deviations above and below the VWAP, giving a more nuanced view of market volatility. Symmetrical bands in traditional VWAP may not always accurately reflect the market's true behavior, especially in trending markets, where upward and downward price movements aren't always equal. By splitting the deviation calculations, this tool provides a more dynamic and realistic view of price action, adapting to whether the market is showing stronger upward or downward pressure. Use Cases: Trend Identification: The VWAP line acts as a central trend line, while the deviation bands offer levels of potential support and resistance. When price moves beyond the external bands, it may indicate overextension and potential reversal. Volatility Trading: Traders can use the internal and external bands to set dynamic take-profit or stop-loss levels, allowing for flexible risk management depending on market conditions. Range Trading: In consolidating markets, the Multi Deviation VWAP can help traders identify optimal buy and sell zones as the price oscillates between the upper and lower bands. By incorporating independent deviation bands, this indicator provides traders with a more responsive tool that reflects market behavior more accurately, helping them make informed trading decisions with enhanced precision.
Pine Script® indicator
by OmegaTools
VWAP Deviation Channels with Probability (Lite)VWAP Deviation Channels with Probability (Lite) Version 1.2 Overview This indicator is a powerful tool for intraday traders, designed to identify high-probability areas of support and resistance. It plots the Volume-Weighted Average Price (VWAP) as a central "value" line and then draws statistically-based deviation channels around it. Its unique feature is a dynamic probability engine that analyzes thousands of historical price bars to calculate and display the real-time likelihood of the price touching each of these deviation levels. This provides a quantifiable edge for making trading decisions. Core Concepts Explained This indicator is built on three key concepts: The VWAP (Volume-Weighted Average Price): The dotted midline of the channels is the session VWAP. Unlike a Simple Moving Average (SMA) which only considers price, the VWAP incorporates volume into its calculation. This makes it a much more significant benchmark, as it represents the true average price where the most business has been transacted during the day. It's heavily used by institutional traders, which is why price often reacts strongly to it. Standard Deviation Channels: The channels above and below the VWAP are based on standard deviations. Standard deviation is a statistical measure of volatility. - Wide Bands: When the channels are wide, it signifies high volatility. - Narrow Bands: When the channels are tight and narrow, it signifies low volatility and consolidation (a "squeeze"). The Conditional Probability Engine: This is the heart of the indicator. For every deviation level, the script displays a percentage. This percentage answers a very specific question: "Based on thousands of previous bars, when the last candle had a certain momentum (bullish or bearish), what was the historical probability that the price would touch this specific level?" The probabilities are calculated separately depending on whether the previous candle was green (bullish) or red (bearish). This provides a nuanced, momentum-based edge. The level with the highest probability is highlighted, acting as a "price magnet." How to Use This Indicator Recommended Timeframes: This indicator is designed specifically for intraday trading. It works best on timeframes like the 1-minute, 5-minute, and 15-minute charts. It will not display correctly on daily or higher timeframes. Recommended Trading Strategy: Mean Reversion The primary strategy for this indicator is "Mean Reversion." The core idea is that as the price stretches to extreme levels far away from the VWAP (the "mean"), it is statistically more likely to "snap back" toward it. Here is a step-by-step guide to trading this setup: 1. Identify the Extreme: Wait for the price to push into one of the outer deviation bands (e.g., the -2, -3, or -4 bands for a buy setup, or the +2, +3, or +4 bands for a sell setup). 2. Look for the High-Probability Zone: Pay close attention to the highlighted probability label. This is the level that has historically acted as the strongest magnet for price. A touch of this level represents a high-probability area for a potential reversal. 3. Wait for Confirmation: Do not enter a trade just because the price has touched a band. Wait for a confirmation candle that shows momentum is shifting. - For a Buy: Look for a strong bullish candle (e.g., a green engulfing candle or a hammer/pin bar) to form at the lower bands. - For a Sell: Look for a strong bearish candle (e.g., a red engulfing candle or a shooting star) to form at the upper bands. Define Your Exit: - Take Profit: A logical primary target for a mean reversion trade is the VWAP (midLine). - Stop Loss: A logical place for a stop-loss is just outside the next deviation band. For example, if you enter a long trade at the -3 band, your stop loss could be placed just below the -4 band. Disclaimer: This indicator is a tool for analysis and should not be considered a standalone trading system. Trading involves significant risk, and past performance is not indicative of future results. Always use this indicator in conjunction with other forms of analysis and sound risk management practices.
Pine Script® indicator
by heliav8r
Best Fit Linear Regression with StdDev BandsBest Fit Linear Regression with Standard Deviation Bands​ The Best Fit Linear Regression with StdDev Bands is a custom TradingView indicator designed to analyze price trends and volatility over a specified number of bars. It plots a linear regression line representing the best fit for the selected price data, accompanied by optional standard deviation bands to visualize price dispersion.​ 📈 Key Features Linear Regression Line: Calculates the best-fit line over a user-defined number of bars, providing a clear visualization of the prevailing price trend.​ TradingView Standard Deviation Bands: Optional upper and lower bands set at a multiple of the standard deviation from the regression line, indicating potential support and resistance levels.​ Price Source Selection: Choose between using the closing price or the midpoint (average of high and low) for calculations.​ Weighting Options: Apply True Range weighting to emphasize periods of higher volatility in the regression calculation.​ Trend Strength Indicator: Displays a normalized strength value between -1 and 1, indicating the direction and magnitude of the trend.​ Customizable Appearance: Adjust line color, width, label position, and background color to suit your preferences.​ Extendable Lines: Option to extend the regression and standard deviation lines beyond the visible bars for projection purposes.​ ⚙️ Input Parameters Bars to Analyze: Number of bars to include in the regression calculation (default: 100).​ Price Value: Select "Close" or "Midpoint" as the data source for calculations.​ Weighting Method: Choose between "None" or "True Range" weighting.​ Line Color & Width: Customize the color and thickness of the regression line.​ Label Position: Place the informational label at the start, center, or end of the regression line.​ Label Background Color: Set the background color for the informational label.​ Extend Line Beyond Visible Bars: Option to project the regression line into future bars.​ Show Standard Deviation Bands: Toggle the visibility of the standard deviation bands.​ Standard Deviation Multiplier: Set the multiplier for the standard deviation bands (default: 1.0).​ StdDev Bands Color: Customize the color and transparency of the standard deviation bands.​ 🧮 How It Works Data Collection: Gathers price data based on the selected source (Close or Midpoint) over the specified number of bars.​ Weighting (Optional): Applies True Range weighting if selected, giving more importance to bars with higher volatility.​ Regression Calculation: Computes the slope and intercept of the best-fit line using the least squares method.​ Standard Deviation: Calculates the standard deviation of the price data from the regression line to determine the dispersion.​ Plotting: Draws the regression line and, if enabled, the upper and lower standard deviation bands.​ Labeling: Displays a label indicating the trend direction (Bullish, Bearish, or Neutral), strength percentage, and standard deviation value.​ 📊 Interpretation Trend Direction: The slope of the regression line indicates the trend direction.​ Trend Strength: The normalized strength value provides insight into the magnitude of the trend.​ Price Position: Prices near or beyond the standard deviation bands may indicate overbought or oversold conditions.​ TradingView 🛠️ Use Cases Trend Analysis: Identify and confirm the direction and strength of market trends.​ Volatility Assessment: Gauge market volatility through the width of the standard deviation bands.​ Support and Resistance: Use the standard deviation bands to identify potential support and resistance levels.​ Trade Timing: Assist in determining optimal entry and exit points based on price interaction with the regression line and bands.​ This indicator is particularly useful for traders seeking a statistical approach to trend analysis, offering customizable options to tailor the tool to various trading strategies and preferences.
Pine Script® indicator
by ppsteffo1
Polynomial Regression Keltner Channel [ChartPrime]Polynomial Regression Keltner Channel ⯁ OVERVIEW The Polynomial Regression Keltner Channel [ ChartPrime ] indicator is an advanced technical analysis tool that combines polynomial regression with dynamic Keltner Channels. This indicator provides traders with a sophisticated method for trend analysis, volatility assessment, and identifying potential overbought and oversold conditions. ◆ KEY FEATURES Polynomial Regression: Uses polynomial regression for trend analysis and channel basis calculation. Dynamic Keltner Channels: Implements Keltner Channels with adaptive volatility-based bands. Overbought/Oversold Detection: Provides visual cues for potential overbought and oversold market conditions. Trend Identification: Offers clear trend direction signals and change indicators. Multiple Band Levels: Displays four levels of upper and lower bands for detailed market structure analysis. Customizable Visualization: Allows toggling of additional indicator lines and signals for enhanced chart analysis. ◆ FUNCTIONALITY DETAILS ⬥ Polynomial Regression Calculation: Implements a custom polynomial regression function for trend analysis. Serves as the basis for the Keltner Channel, providing a smoothed centerline. //@function Calculates polynomial regression //@param src (series float) Source price series //@param length (int) Lookback period //@returns (float) Polynomial regression value for the current bar polynomial_regression(src, length) => sumX = 0.0 sumY = 0.0 sumXY = 0.0 sumX2 = 0.0 sumX3 = 0.0 sumX4 = 0.0 sumX2Y = 0.0 n = float(length) for i = 0 to n - 1 x = float(i) y = src sumX += x sumY += y sumXY += x * y sumX2 += x * x sumX3 += x * x * x sumX4 += x * x * x * x sumX2Y += x * x * y slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX) intercept = (sumY - slope * sumX) / n n - 1 * slope + intercept ⬥ Dynamic Keltner Channel Bands: Calculates ATR-based volatility for dynamic band width adjustment. Uses a base multiplier and adaptive volatility factor for flexible band calculation. Generates four levels of upper and lower bands for detailed market structure analysis. atr = ta.atr(length) atr_sma = ta.sma(atr, 10) // Calculate Keltner Channel Bands dynamicMultiplier = (1 + (atr / atr_sma)) * baseATRMultiplier volatility_basis = (1 + (atr / atr_sma)) * dynamicMultiplier * atr ⬥ Overbought/Oversold Indicator line and Trend Line: Calculates an OB/OS value based on the price position relative to the innermost bands. Provides visual representation through color gradients and optional signal markers. Determines trend direction based on the polynomial regression line movement. Generates signals for trend changes, overbought/oversold conditions, and band crossovers. ◆ USAGE Trend Analysis: Use the color and direction of the basis line to identify overall trend direction. Volatility Assessment: The width and expansion/contraction of the bands indicate market volatility. Support/Resistance Levels: Multiple band levels can serve as potential support and resistance areas. Overbought/Oversold Trading: Utilize OB/OS signals for potential reversal or pullback trades. Breakout Detection: Monitor price crossovers of the outermost bands for potential breakout trades. ⯁ USER INPUTS Length: Sets the lookback period for calculations (default: 100). Source: Defines the price data used for calculations (default: HLC3). Base ATR Multiplier: Adjusts the base width of the Keltner Channels (default: 0.1). Indicator Lines: Toggle to show additional indicator lines and signals (default: false). ⯁ TECHNICAL NOTES Implements a custom polynomial regression function for efficient trend calculation. Uses dynamic ATR-based volatility adjustment for adaptive channel width. Employs color gradients and opacity levels for intuitive visual representation of market conditions. Utilizes Pine Script's plotchar function for efficient rendering of signals and heatmaps. The Polynomial Regression Keltner Channel indicator offers traders a sophisticated tool for trend analysis, volatility assessment, and trade signal generation. By combining polynomial regression with dynamic Keltner Channels, it provides a comprehensive view of market structure and potential trading opportunities. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
Pine Script® indicator
by ChartPrime
7
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
Linear Regression MTF + Bands Multiple Time Frames (MTFs): The indicator allows you to view linear regression trends over three different time frames (TF1, TF2, TF3) simultaneously. This means a trader can observe short, medium, and long-term trends on a single chart, which is valuable for understanding overall market direction and making cross-timeframe comparisons. Linear Regression Bands: For each time frame, the indicator calculates linear regression bands. These bands represent the expected price range based on past prices. The middle line is the linear regression line, and the upper and lower lines are set at a specified deviation from this line. Traders can use these bands to spot potential overbought or oversold conditions, or to anticipate future price movements. History Bands: Looking at linear regression channels can be deceiving if the user does not understand the calculation. In order to see where the channel was at in history the user can display the history bands to see where price actual was in a non-repainting fashion. Customization Options: Traders can customize various aspects of the indicator, such as whether to display each time frame, the length of the linear regression (how many past data points it considers), and the deviation for the bands. This flexibility allows traders to adapt the indicator to their specific trading style and the asset they are analyzing. Alerts: The script includes functionality to set alerts based on the price crossing the upper or lower bands of any time frame. This feature helps traders to be notified of potential trading opportunities or risks without constantly monitoring the chart. Examples The 15minute linear regression is overlayed onto a 5 minute chart. We are able to see higher timeframe average and extremes. The average is the middle of the channel and the extremes are the outer edges of the bands. The bands are non-repainting meaning that is the actual value of the channel at that place in time. Here multiple channels are shown at once. We have a linear regression for the 5, 15, and 60 minute charts. If your strategy uses those timeframes you can see the average and overbought/oversold areas without having to flip through charts. In this example we show just the history bands. The bands could be thought of as a "don't diddle in the middle" area if your strategy is looking for reversals You can extend the channel into the future via the various input settings.
Pine Script® indicator
by GoodGains
7
DT Bollinger BandsIndicator Overview Purpose: The script calculates and plots Bollinger Bands, a technical analysis tool that shows price volatility by plotting: A central moving average (basis line). Upper and lower bands representing price deviation from the moving average. Additional bands for a higher deviation threshold (3 standard deviations). Customization: Users can customize: The length of the moving average. The type of moving average (e.g., SMA, EMA). The price source (e.g., close price). Standard deviation multipliers for the bands. Fixed Time Frame: The script can use a fixed time frame (e.g., daily) for calculations, regardless of the chart's time frame. Key Features Moving Average Selection: The user can select the type of moving average for the basis line: Simple Moving Average (SMA) Exponential Moving Average (EMA) Smoothed Moving Average (SMMA/RMA) Weighted Moving Average (WMA) Volume Weighted Moving Average (VWMA) Standard Deviation Multipliers: Two multipliers are used: Standard (default = 2.0): For the original Bollinger Bands. Larger (default = 3.0): For additional bands. Bands Calculation: Basis Line: The selected moving average. Upper Band: Basis + Standard Deviation. Lower Band: Basis - Standard Deviation. Additional Bands: Representing ±3 Standard Deviations. Plots: Plots the basis, upper, and lower bands. Fills the area between the bands for visual clarity. Plots and fills additional bands for ±3 Standard Deviations with lighter colors. Alerts: Generates an alert when the price enters the range between the 2nd and 3rd standard deviation bands. The alert can be used to notify when price volatility increases significantly. Background Highlighting: Colors the chart background based on alert conditions: Green if the price is above the basis line. Red if the price is below the basis line. Offset: Adds an optional horizontal offset to the plots for fine-tuning their alignment. How It Works Input Parameters: The user specifies settings such as moving average type, length, multipliers, and fixed time frame. Calculations: The script computes the basis (moving average) and standard deviations on the fixed time frame. Bands are calculated using the basis and multipliers. Plotting: The basis line and upper/lower bands are plotted with distinct colors. Additional 3 StdDev bands are plotted with lighter colors. Alerts: An alert condition is created when the price moves between the 2nd and 3rd standard deviation bands. Visual Enhancements: Chart background changes color dynamically based on the price’s position relative to the basis line and alert conditions. Usage This script is useful for traders who: Want a detailed visualization of price volatility. Use Bollinger Bands to identify breakout or mean-reversion trading opportunities. Need alerts when the price enters specific volatility thresholds.
Pine Script® indicator
by azhafpv
1
Curved Trend Channels (Zeiierman)█ Overview Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic. This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development. █ How It Works ⚪ Adaptive Range Filter Foundation The core of the system is a volatility-based range filter that determines the underlying structure of the bands: Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range. Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price. Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity. ⚪ Curved Channel Logic In Curved Mode, the trend channel grows over time when the trend direction remains unchanged: Base Step Size (× ATR) – Sets the minimum unit of slope change. Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time. Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations. This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence. ⚪ Trend Slope As an alternative to curved logic, traders can activate a regular Trend slope using: Slope Length – Determines how quickly the trend line adapts to price shifts. Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes. ⚪ Candle Trend Confirmation A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action: Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement. █ How to Use ⚪ Trend Identification When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently. ⚪ Retest During ongoing trends, the price will often pull back into the dynamic channel. Look for: Support/resistance interactions at the upper or lower bands. █ Settings Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands. Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style. Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive. High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots. Band Multiplier – Widens or tightens the band range based on personal preference. Enable Curved Channel – Toggle between curved or regular trend slope behavior. Base Step (× ATR) – The starting point for curved slope progression. Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend. Slope – Reactivity of the standard trend line to price movements. Multiplicative Factor – Sensitivity adjustment for HyperTrend slope. Candle Trend Length – Lookback period for trend determination from candle structure. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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.
Pine Script® indicator
by Zeiierman
9
Choppy Market Identifier - Using Bollinger BandsThe "Choppy Market Identifier" tells you whether the market is currently choppy or trending. A "choppy" market is one where the price is moving up and down within a narrow range without a clear direction, making it difficult to trade profitably. How this indicator works: Bollinger Bands are used to plot lines, two standard deviations away from a simple moving average (SMA) of the asset's price. There three Bollinger Band lines: The Basis (middle line), which is a simple moving average. The Upper Band, which is the Basis + standard deviation. The Lower Band, which is the Basis - standard deviation. These bands expand and contract based on market volatility. Price Inside Bollinger Bands: The script checks if the closing price of the asset is within the Bollinger Bands (between the Upper and Lower bands). If the price is within the bands, it adds 1 to a sum. Choppiness Calculation: Over a specific user defined period, it sums up how many times the price was inside the Bollinger Bands. If the price was inside the bands for more than 80% of this period, the market is considered "choppy". Visual Representation Bollinger Bands: The Upper and Lower Bands are plotted in different colors (red for Upper, blue for Lower) on the price chart. The Basis line (gray) shows the simple moving average. Choppy Market Highlight: When the market is deemed "choppy" based on the calculation above, the background of the price chart will change to yellow. Why Is This Indicator Useful? Choppy Market: In a choppy market, prices move up and down without much overall direction, which can lead to false signals. Traders might choose to avoid trading during these times. Trending Market: When the market is not choppy (meaning prices are more often outside the Bollinger Bands), it may indicate a clearer trend, which can be more favorable for trading signals. How To Use It? Add the "Choppy Market Identifier" indicator to your chart in TradingView. Interpret the Bands: Watch for when the yellow background appears. This indicates a choppy market, which suggests that the price is moving within a narrow range and it might be a risky time to trade. When the yellow background is not present, the market is likely trending, which might present better trading opportunities based on other analysis. In summary, this indicator helps traders to identify when the market is in a period of low volatility (choppy) versus when it might be trending, thus aiding in making more informed trading decisions.
Pine Script® indicator
by Luca_Mercuri
1
VWAP Fibonacci Bands (Zeiierman)█  Overview The VWAP Fibonacci Bands is a sophisticated yet user-friendly indicator designed to assist traders in visualizing market trends, volatility, and potential support/resistance levels. Developed by Zeiierman, this tool integrates the MIDAS (Market Interpretation Data Analysis System) methodology with Standard Deviation Bands and user-defined Fibonacci levels to provide a comprehensive market analysis framework. This indicator is built for traders who want a dynamic and customizable approach to understanding market movements, offering features that adapt to varying market conditions. Whether you're a scalper, swing trader, or long-term investor. █  How It Works ⚪ Anchor Point System The indicator begins its calculations based on an anchor point, which can be set to: A specific date for historical analysis or alignment with significant market events. A timeframe-based reset, dynamically restarting calculations at the beginning of each selected period (e.g., daily, weekly, or monthly). This dual-anchor method ensures flexibility, allowing the indicator to align with various trading strategies. ⚪ MIDAS Calculation The MIDAS calculation is central to this indicator. It uses cumulative price and volume data to compute a volume-weighted average price (VWAP), offering a trendline that reflects the true value weighted by trading activity. ⚪ Standard Deviation Bands The upper and lower bands are calculated using the standard deviation of price movements around the MIDAS line. ⚪ Fibonacci Levels User-defined Fibonacci ratios are used to plot additional support and resistance levels between the bands. These levels provide visual cues for potential price reversals or trend continuations. █  How to Use ⚪ Trend Identification Uptrend: The price remains above the MIDAS line. Downtrend: The price stays below the MIDAS line and aligns with the lower bands. ⚪ Support and Resistance The upper and lower bands act as support and resistance levels. Fibonacci levels provide intermediate zones for potential price reversals. ⚪ Volatility Analysis Wider bands indicate periods of high volatility. Narrower bands suggest low-volatility conditions, often preceding breakouts. ⚪ Overbought/Oversold Conditions Look for the price beyond the upper or lower bands to identify extreme conditions. █  Settings Set Anchor Method Anchor Method: Choose between Timeframe or Date to define the starting point of calculations. Anchor Timeframe: For Timeframe mode, specify the interval (e.g., Daily, Weekly). Anchor Date: For Date mode, set the exact starting date for historical alignment. Set Std Dev Multiplier Controls the width of the bands: Higher values widen the bands, filtering out minor fluctuations. Lower values tighten the bands for more responsive analysis. Set Fibonacci Levels Define custom Fibonacci ratios (e.g., 0.236, 0.382) to plot intermediate levels between the bands. █  Tips for Fine-Tuning ⚪ For Trend Trading: Use higher Std Dev Multipliers to focus on long-term trends and avoid noise. Adjust Anchor Timeframe to Weekly or Monthly for broader trend analysis. ⚪ For Reversal Trading: Tighten the bands with a lower Std Dev Multiplier. Use shorter anchor timeframes for intraday reversals (e.g., Hourly). ⚪ For Volatile Markets: Increase the Std Dev Multiplier to accommodate wider price swings. ⚪ For Quiet Markets: Decrease the Std Dev Multiplier to highlight smaller fluctuations. ----------------- 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!
Pine Script® indicator
by Zeiierman
7
[MAD] Custom Session VWAP BandsOverview This indicator helps visualize the Volume Weighted Average Price (VWAP) and its associated standard deviation bands over specified time periods, providing traders with a clear understanding of price trends, volatility, and potential support/resistance levels. Inputs Deviation StDev mult 1: Multiplier for the first standard deviation band (Default: 1.0) StDev mult 2: Multiplier for the second standard deviation band (Default: 2.0) StDev mult 3: Multiplier for the third standard deviation band (Default: 3.0) StDev mult 4: Multiplier for the fourth standard deviation band (Default: 4.0) Line width: Width of the lines for the bands (Default: 2) Custom Vwap session reset settings Many different options are considered when a session is going to be reset. Plot and Fill Options Enable Fills: Enable/disable filling between bands. Plot +4: Enable/disable plotting the +4 standard deviation band. Plot +3: Enable/disable plotting the +3 standard deviation band. Plot +2: Enable/disable plotting the +2 standard deviation band. Plot +1: Enable/disable plotting the +1 standard deviation band. Plot VWAP: Enable/disable plotting the VWAP line. Plot -1: Enable/disable plotting the -1 standard deviation band. Plot -2: Enable/disable plotting the -2 standard deviation band. Plot -3: Enable/disable plotting the -3 standard deviation band. Plot -4: Enable/disable plotting the -4 standard deviation band. How to Use the Indicator Adding the Indicator Add the indicator to your chart through your trading platform's indicator menu. Configuring the VWAP Reset Specify reset intervals based on time, days of the week, or specific dates. Adjust the time zone if necessary. Customizing Standard Deviation Bands Set the multipliers for the standard deviation bands. Choose line width for better visualization. Enabling Plots and Fills Select which bands to display. Enable or disable fills between the bands. Practical Application of VWAP Bands Understanding VWAP VWAP is a trading benchmark that calculates the average price a security has traded at throughout the day based on volume and price. It is primarily used for intraday trading but can also offer insights during end-of-day reviews. Using VWAP for Trading Intraday Trading Entry and Exit Points: VWAP can help identify optimal buy and sell points. Buy when the price is above VWAP and sell when it's below. Support and Resistance: VWAP often acts as a dynamic support/resistance level. Prices tend to revert to VWAP, making it a crucial level for intraday traders. Trend Confirmation Uptrends and Downtrends: In an uptrend, the price will generally stay above VWAP. Conversely, in a downtrend, it will stay below. Use this to confirm market direction. Combining with Other Indicators Moving Averages and Bollinger Bands: Combining VWAP with these indicators can provide a more robust trading signal, confirming trends and potential reversals. Setting Stop-Loss and Profit Targets Conservative Stop Orders: Place stop orders at recent lows for pullback trades. Profit Targets: Use daily highs or Fibonacci extension levels to set profit targets. Strategies for Using VWAP Pullback Strategy Buy during pullbacks to VWAP in an uptrend, and sell during rallies to VWAP in a downtrend. Breakout Strategy Look for breakouts above/below VWAP after the market open to capitalize on new trends. Momentum Trading Use VWAP to confirm the strength of a trend. Buy when the price is consistently above VWAP and sell when it's consistently below. Institutional Strategies Institutional traders use VWAP to execute large orders without causing significant market impact, ensuring trades are made around the average price. By incorporating these strategies, traders can better understand market dynamics, make informed trading decisions, and manage their risk effectively. Some setup possibilities
Pine Script® indicator
by djmad
2
[Mad]Triple Bollinger Bands ForecastTriple Bollinger Bands Forecast (BBx3+F) This open-source indicator is an advanced version of the classic Bollinger Bands, designed to provide a more comprehensive and forward-looking view of market volatility and potential price levels. It plots three distinct sets of Bollinger Bands and projects them into the future based on statistical calculations. How It Is Built and Key Features Triple Bollinger Bands: Instead of a single set of bands, this indicator plots three. All three share the same central basis line (a Simple Moving Average), but each has a different standard deviation multiplier. This creates three distinct volatility zones for analyzing price deviation from its mean. Multi-Timeframe (MTF) Capability: The indicator can calculate and display Bollinger Bands from a higher timeframe (e.g., showing daily bands on a 4-hour chart). This allows for contextualizing price action within the volatility structure of a more significant trend. (Lower HTF selection will result in script-crash!) Future Forecasting: This is the indicator's main feature. It projects the calculated Bollinger Bands up to 8 bars into the future. This forecast is a recalculation of the Simple Moving Average and Standard Deviation based on a projected future source price. Selectable Forecast Methods: The mathematical model for estimating the future source price can be selected: Flat: A model that uses the most recent closing price as the price for all future bars in the calculation window. Linreg (Linear Regression): A model that calculates a linear regression trend on the last few bars and projects it forward to estimate the future source price. Efficient Drawing with Polylines: The future projections are drawn on the chart using Pine Script's polyline object. This is an efficient method that draws the forecast data only on the last bar, which avoids repainting issues. Differences from a Classical Bollinger Bands Indicator Band Count: A classical indicator shows one set of bands. This indicator plots three sets for a multi-layered view of volatility. Perspective: Classical Bollinger Bands are purely historical. This indicator is both historical and forward-looking . Forecasting: The classic version has no forecasting capability. This indicator projects the bands into the future . Timeframe: The classic version works only on the current timeframe. This indicator has full Multi-Timeframe (MTF) support . The Mathematics Behind the Future Predictions The core challenge in forecasting Bollinger Bands is that a future band value depends on future prices, which are unknown. This indicator solves this by simulating a future price series. Here is the step-by-step logic: Forecast the Source Price for the Next Bar First, the indicator estimates what the price will be on the next bar. Flat Method: The forecasted price is the current bar's closing price. Price_forecast = close Linreg Method: A linear regression is calculated on the last few bars and extrapolated one step forward. Price_forecast = ta.linreg(close, linreglen, 1) Calculate the Future SMA (Basis) To calculate the Simple Moving Average for the next bar, a new data window is simulated. This window includes the new forecasted price and drops the oldest historical price. For a 1-bar forecast, the calculation is: SMA_future = (Price_forecast + close + close + ... + close ) / length Calculate the Future Standard Deviation Similarly, the standard deviation for the next bar is calculated over this same simulated window of prices, using the new SMA_future as its mean. // 1. Calculate the sum of squared differences from the new mean d_f = Price_forecast - SMA_future d_0 = close - SMA_future // ... and so on for the rest of the window's prices SumOfSquares = (d_f)^2 + (d_0)^2 + ... + (d_length-2)^2 // 2. Calculate future variance and then the standard deviation Var_future = SumOfSquares / length StDev_future = sqrt(Var_future) Extending the Forecast (2 to 8 Bars) For forecasts further into the future (e.g., 2 bars), the script uses the same single Price_forecast for all future steps in the calculation. For a 2-bar forecast, the simulated window effectively contains the forecasted price twice, while dropping the two oldest historical prices. This provides a statistically-grounded projection of where the Bollinger Bands are likely to form. Usage as a Forecast Extension This indicator's functionality is designed to be modular. It can be used in conjunction with as example Mad Triple Bollinger Bands MTF script to separate the rendering of historical data from the forward-looking forecast. Configuration for Combined Use: Add both the Mad Triple Bollinger Bands MTF and this Triple Bollinger Bands Forecast indicator to your chart. Open the Settings for this indicator (BBx3+F). In the 'General Settings' tab, disable the Activate Plotting option. To ensure data consistency, the Bollinger Length, Multipliers, and Higher Timeframe settings should be identical across both indicators. This configuration prevents the rendering of duplicate historical bands. The Mad Triple Bollinger Bands MTF script will be responsible for visualizing the historical and current bands, while this script will overlay only the forward-projected polyline data.
Pine Script® indicator
by djmad