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MA Study: Different Types and More [NeoButane]A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy. The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily, 3 is 3 day, for weekly, 4 is the 4 weekly, etc. If you're on a higher timeframe than the one selected, the length will not change. Log-space is used to make calculations work on many cryptos. The rules for color changing Guppy is changed to make it not as choppy on MAs other than EMA. Note that length does not affect SWMA and VWAP and source does not affect VWAP. A short summary of each moving average can be found here: medium.com List of included MAs: ALMA: Arnaud Legoux Double EMA EMA: Exponential Hull MA KAMA: Kaufman Adaptive Linear Regression Curve LSMA: Least Squares SMA: Simple SMMA/RMA: Smoothed/Running SWMA: Symm. Weighted TMA: Triangular Triple EMA VWMA: Volume Weighted WMA: Weighted ZLEMA: Zero Lag VWAP: Vol Weighted Average Welles Wilder MA
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NeoButane tarafından
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Trading The Loonie (CADUSD)A port of the trading strategy described at technical.traders.com "In “Trading The Loonie,” which appeared in the December 2015 issue of STOCKS & COMMODITIES, author Markos Katsanos explains the heavy correlation between the Canadian dollar and crude oil. He then goes on to describe how one could trade this correlation. Using similar logic as that employed in Bollinger Bands, Katsanos has built a study to provide buy and sell signals for trading the Canadian dollar future." See Also: - Backtesting and forwardtesting (of TradingView Strategies) - 9 Mistakes Quants Make that Cause Backtests to Lie (blog.quantopian.com) - When Backtests Meet Reality (financial-hacker.com) - Why MT4 backtesting does not work (www.stevehopwoodforex.com)
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sherwind tarafından
Hidden Gap`s VSA Volume If Volume is less then the previous 20 intervals, Volume is gray. If Volume is greater then the previous 40 intervals, Volume is black. If Volume is less then the previous 2 intervals, Volume is purple. If Volume is less then the previous, Volume is red. If Volume is greater then the previous, Volume is blue. Other - white. You can add on the indicator a 2.5 Standart Deviation of a 20 period Bollinger Band Shifted 3 periods forward.
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HPotter tarafından
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%BsAn indicator with 10 configurable %B lines for identifying trends, overbought and oversold conditions, and reversal points. %B is a linear representation of a securities relationship to the Upper and Lower Bollinger Bands. The best opportunities arise when a security is oversold in a bullish trend and overbought in a bearish trend. The longer %B trend-lines in this indicator are very useful for major reversals. They can be used to indicate the high or low of the day on a 1-minute chart or show a multi-year reversal point. %B = (Current Price - Lower Band) / (Upper Band - Lower Band)
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nvrstpexploring tarafından
1
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points. Key Features: Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility. Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.   Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals. Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart. Customizable Parameters: Users can adjust various settings, including: Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation. Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis. RSI Length: The number of periods used to calculate the RSI. RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI. Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals. Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences. Alerts: The indicator supports customizable alerts for various conditions, including: Buy Signal: Triggered when a buy signal is generated. Sell Signal: Triggered when a sell signal is generated. Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band. Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band. RSI Overbought: Triggered when the RSI crosses above the overbought level. RSI Oversold: Triggered when the RSI crosses below the oversold level. How to Use: The Bollinger Bands + RSI indicator can be used in various ways, including: Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal. Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band. Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points. Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies. Disclaimer: This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
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UncleSamTrading tarafından
Bollinger Bands & SuperTrend Strategy by Tradinggg HubThis TradingView Pinescript combines Bollinger Bands and a custom SuperTrend indicator to generate trading signals. Bollinger Bands: Bollinger Bands are a popular volatility indicator that consists of three lines: * Basis: A simple moving average (SMA) of the price (default length is 20 periods). * Upper Band: The basis plus a standard deviation multiplier (default is 2). * Lower Band: The basis minus a standard deviation multiplier (default is 2). These bands expand and contract as volatility increases or decreases, helping traders identify potential overbought and oversold conditions. SuperTrend: The SuperTrend indicator is a trend-following tool that aims to identify the direction of the price trend. It uses the Average True Range (ATR) to determine the volatility of the market and sets levels above and below the price to indicate potential trend reversals. How the Strategy Works: 1. Bollinger Bands: The script plots Bollinger Bands around the price, providing insight into the current volatility and potential overbought or oversold conditions. 2. SuperTrend: The script calculates and plots a custom SuperTrend indicator based on user-defined ATR period and factor. It helps visualize the current trend direction and potential trend reversals. 3. Buy Signals: A buy signal is generated when the following conditions are met: - The price crosses above the SuperTrend line. - The price is above the Bollinger Bands basis line. 4. Sell Signals: A sell signal is generated when one of the following conditions is met: - The price crosses below the SuperTrend line. - The price is below the Bollinger Bands basis line. Key Parameters: * Bollinger Bands Length: The number of periods used to calculate the basis (SMA) of the Bollinger Bands. * Bollinger Bands Multiplier: The factor used to calculate the standard deviation for the upper and lower bands. * SuperTrend ATR Period: The number of periods used to calculate the Average True Range (ATR) for the SuperTrend. * SuperTrend Factor: The factor used to determine the distance of the SuperTrend levels from the price. Customization: Feel free to experiment with different parameter values to optimize the strategy for your preferred asset and time frame. Disclaimer: This script is intended for educational and informational purposes only. It should not be considered as financial advice. Always conduct thorough research and consider your own risk tolerance before making any trading decisions.
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Sachinvadhvana91105 tarafından
Bollinger Band PW PackageThis script creates a Bollinger Band Package with Bollinger Band Percent and Width displayed on chart. The indicator also prints signals when price closes above or below the Bollinger Bands using shapes (circles by default). Bollinger Bands were created by John Bollinger, and consist of three lines plotted on a chart: the basis line (typically a moving average, 20 sma by default), an upper line (equal to the basis plus a certain number of standard deviations of the price, 2), and a lower line (equal to the basis minus the same number of standard deviations, 2 by default). The script calculates the Bollinger Bands for a given input parameters by taking the length of the moving average and the number of standard deviations to use for the upper and lower bands. It then calculates the Bollinger Bands using these input parameters. The script defines two functions: get_bb_percent() and get_bb_width(). The get_bb_percent() function calculates the percentage distance between the closing price and the lower band, as a percentage of the total distance between the upper and lower bands. This value is commonly referred to as the "Bollinger Band Percent". The get_bb_width() function calculates the percentage distance between the upper and lower bands, as a percentage of the basis line. This value is commonly referred to as the "Bollinger Band Width". The script creates a table at the middle right of the chart, where the Bollinger Band Percent and Width values are displayed. The table is designed with two rows, one for the Bollinger Band Percent value and the other for the Bollinger Band Width value. The script plots the three Bollinger Bands lines on the chart. The basis line is plotted in blue, the upper band line in red, and the lower band line in green. The script then plots the shapes that signify closures above and below the bands using plotshape. The shapes and colors are customizable in the settings menu. This indicator is designed to have all three components and a visual aid to assist Bollinger Band technical analysis in one script which can be helpful in determining potential trading opportunities. We thank John Bollinger for his contribution to technical analysis and trading. Please give feedback and modify to your liking.
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DrCryptoLandy tarafından
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