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DAPD - Strategy Backtest This indicator is similar to Bollinger Bands. It based on DAPD - Daily Average Price Delta. DAPD is based upon a summation for each of the highs (hod) for the 21 days prior to today minus the summation for each of the lows (lod) for the last 21 days prior to today. The result of this calculation would then be divided by 21. It will be buy when high above previos DAPD high and sell if low below previos DAPD low You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
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HPotter tarafından
GEOMETRIC STANDARD DEVIATION BANDS v1 by @XeL_ArjonaGEOMETRIC STANDARD DEVIATION BANDS Ver.1 By Ricardo M Arjona @XeL_Arjona DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. WHAT'S THIS? This IS NOT the wheel "Re-Invention"... This is exactly what the name says: A pair of Envelope Bands to measure "volatility", constructed at statistical relation from within price series and their Rolling back MEAN (Simple Moving Average). YES, What Mr. Bollinger did and put it's name to this simple, cleaver and popular formula. This time, I took the time to make another simple mod, but seems to me to be quite functional in REAL VOLATILE assets like in the example chart: TO USE THEIR GEOMETRIC MODE!! Cheers! Any feedback or public modification(s) are quite welcome to the community....! @XeL_Arjona Apr 28 2016
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xel_arjona tarafından
6
Kay_BBandsAll right people... !! Here is one more crazy stupid experiment by me while boosing. I call it..... Well Bollinger Bands for now.. If you like it and find it useful, give me suggestions, we can name it. Its was just an idea of removing unnecessary opposite bands (noise i say) and it turned out to be useful to me. After finishing, I saw good locations of support and resistance levels building. Just connect the flat lines it create. See if that interests you...!! Please leave comments below even if you are not in mood. Thanks..
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trading.kay27 tarafından
Moving averages and bandsI coded this simple indicator based on multiple ideas shared by Tim West at his "Key Hidden Levels" chatroom. We have a moving average ribbon comprised of the average of the highs and lows in 10 periods. The colored space in between acts more or less like fair value and is often where price is when consolidating. Green and red triangles at the top and bottom of the screen. The ones at the bottom, correspond to signals obtained from a 4 period moving average of the close's slope. It helps get excellent exits for trending moves by changing color with the moving average slope. The ones at the top, are green while Bollinger Band Width increases, and red while it decreases, relative to the previous bar. Background color highlights when the close moves over the moving average of the highs or under the moving average of the lows, indicating a change of trend is possible, or at least a pause/consolidation. The idea is to have multiple reasons to stay in a trade, which is normally very hard to do, specially when winning. Cheers, Ivan Labrie Time at Mode FX
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IvanLabrie tarafından
4
UCS_Squeeze_Timing-V1There is an important information the Squeeze indicator is missing, which is the Pre Squeeze entry. While the Bollinger band begins to curves out of the KC, The breakout usually happens. There are many instances that the Squeeze indicator will fire, after the Major move, I cant blame the indicator, thats the nature (lagging) of all indicators, and we have to live with it. Therefore pre-squeeze-fire Entry can be critical in timing your entry. Timing it too early could result in stoploss if it turns against you, ( or serious burn on options premium), because we never know when the squeeze will fire with the TTM squeeze, But now We know. Its a little timing tool. Managing position is critical when playing options. I will code the timing signal when I get some time. Updated Versions -
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UDAY_C_Santhakumar tarafından
8
PTS - Bollinger Bands with Trailing StopPTS - Bollinger Bands with Trailing Stop Strategy Overview The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism. Key Features 1. Bollinger Bands Indicator Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price). 2. Entry Conditions The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum. 3. Exit Conditions Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band . 4. Risk Management Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable). 5. Date Range Filter Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069. Customizable Inputs BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity. Thought for 1m 7s Description for the "PTS - Bollinger Bands with Trailing Stop" Strategy PTS - Bollinger Bands with Trailing Stop Strategy Overview The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism. Key Features 1. Bollinger Bands Indicator Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price). 2. Entry Conditions The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum. 3. Exit Conditions Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band . 4. Risk Management Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable). 5. Date Range Filter Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069. Customizable Inputs BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity. How the Strategy Works 1. Initialization Calculates Bollinger Bands and ATR based on selected parameters. 2. Entry Logic Opens a long position when the closing price exceeds the upper Bollinger Band. 3. Exit Logic Uses a trailing stop loss based on ATR. Exits if the closing price drops below the lower Bollinger Band. 4. Date Filtering Executes trades only within the specified date range. Advantages Adaptive Risk Management: Trailing stop adjusts to market volatility. Simplicity: Clear entry and exit signals. Customizable Parameters: Tailor the strategy to different assets or conditions. Considerations Aggressive Position Sizing: Using 100% equity per trade is high-risk. Market Conditions: Best in trending markets; may produce false signals in sideways markets. Backtesting: Always test on historical data before live trading. Disclaimer This strategy is intended for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Assess your financial situation and consult a financial advisor if necessary. Usage Instructions 1. Apply the Strategy: Add it to your TradingView chart. 2. Configure Inputs: Adjust parameters to suit your style and asset. 3. Analyze Backtest Results: Use the Strategy Tester. 4. Optimize Parameters: Experiment with input values. 5. Risk Management: Evaluate position sizing and incorporate risk controls. Final Notes The "PTS - Bollinger Bands with Trailing Stop" strategy provides a framework to leverage momentum breakouts while managing risk through adaptive trailing stops. Customize and test thoroughly to align with your trading objectives.
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posido tarafından
1
[blackcat] L1 Bollinger Bands Width WatcherOVERVIEW The Bollinger Bands Width Watcher is an advanced tool designed to monitor the width of Bollinger Bands, providing insights into market volatility and potential trend reversals. This indicator calculates both absolute and relative widths of the bands, plotting them on the chart for easy visualization. It also generates buy and sell signals based on crossover events, helping traders make informed decisions 📊✅. Today, this article introduces the final member of the Bollinger Bands trio—Bollinger Bands Width (BBW). Derived from the renowned Bollinger Bands, this indicator measures price volatility and identifies trading signals. First, let’s delve into what Bollinger Bands are. They consist of three lines associated with the price of a security: The middle line is typically a 20-day Simple Moving Average (SMA). The upper and lower bands represent two standard deviations above and below the middle band. The Bollinger Bands Width measures the distance between these upper and lower bands. Bollinger Bands Width = (Upper Band - Lower Band) / Middle Band Calculating BBW involves subtracting the lower band from the upper band and dividing by the middle band to obtain the BBW value. However, interpreting BBW values alone isn't enough to determine if they're narrow or wide. Different instruments or timeframes might define narrowness differently. To gauge the significance of band narrowing accurately, analyzing past BBW fluctuations alongside price movements is essential. One prominent theory involving Bollinger Bands is the "squeeze." A squeeze setup comprises two phases: Low volatility, where bands narrow, and prices move sideways. Increased volatility, where prices breach either the upper or lower band, initiating a new trend. During a bullish squeeze, BBW diminishes, and breaking above the upper band signals a new uptrend. Conversely, in a bearish squeeze, BBW declines, and falling below the lower band indicates a new downtrend. While BBW excels at spotting squeezes, traders must exercise caution. Even with a squeeze setup, a robust market trend might not materialize. Validating breakouts necessitates personal judgment and additional confirmation techniques. Now, let's explore key parameters and settings: Length: Defines the period for computing the base SMA, defaulting to 20 days. Source: Specifies the data source per candle, defaulting to the closing price. Standard Deviation: Sets the number of standard deviations from the SMA for the upper and lower bands, defaulting to 2. FEATURES Calculates Bollinger Bands Width using customizable parameters: Smoothing Length: Number of bars used for calculating the moving average and standard deviation. Source Price: Defaults to closing prices but can be adjusted. Standard Deviation Multiplier: Controls the width of the bands. Plots two types of Bollinger Bands Width: Absolute width relative to the basis (Yellow Line). Relative width compared to the close price (Fuchsia Line). Fills the area between the two plotted lines for better visual context 🌈 Generates buy ('Buy') and sell ('Sell') labels based on crossover events 🏷️ Provides alerts for crossover signals to notify users of potential trade opportunities 🔔 HOW TO USE Add the indicator to your TradingView chart by selecting it from the indicators list. Adjust the Smoothing Length, Source Price, and Standard Deviation Multiplier as needed ⚙️. Observe the plotted Bollinger Bands Width lines and filled areas for insights into market volatility. Monitor the chart for buy and sell labels indicating potential trade opportunities. Set up alerts based on the generated signals to receive notifications when conditions are met 📲. LIMITATIONS The indicator may generate false signals in highly volatile or ranging markets 🌪️. Users should combine this indicator with other forms of analysis for more reliable trading decisions. The effectiveness of the indicator may vary depending on the asset and timeframe being analyzed. NOTES Ensure that you have sufficient historical data available for accurate calculations. Test the indicator thoroughly on demo accounts before applying it to live trading 🔍. Customize the appearance and parameters as needed to fit your trading strategy.
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blackcat1402 tarafından