Linearregressioncurve — Indicateurs et Stratégies

Bollinger Bands Regression Forecast [BigBeluga]🔵 OVERVIEW The Bollinger Bands Regression Forecast combines volatility envelopes from Bollinger Bands with a linear regression-based projection model . It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior. 🔵 CONCEPTS Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price. This indicator enhances them with linear regression slope detection , allowing it to forecast how the band may expand or contract in the future. Regression is applied to both the band’s basis and deviation components to predict their trajectory for a user-defined number of Forecast Bars . The resulting forecast creates a smoothed, funnel-shaped projection that dynamically adapts to volatility. ▲ and ▼ markers highlight potential mean reversion points when price crosses the outer bounds of the bands. 🔵 FEATURES Forecast Engine : Uses linear regression to project Bollinger Band movement into the future. Dynamic Channel Width : Adapts standard deviation and slope for realistic volatility modeling. Auto-Labeled Levels : Displays live upper and lower forecast values for quick reference. Cross Signals : Marks potential overbought and oversold zones with ▲/▼ signals when price exits the band. Trend-Adaptive Basis Color : Basis line automatically switches color to represent short-term trend direction. Customizable Colors and Widths for complete visual control. 🔵 HOW TO USE Apply the indicator to visualize both current Bollinger structure and its forward projection. Use ▲/▼ breakout markers to identify short-term reversals or volatility shifts. When price consistently rides the upper band forecast, the trend is strong and likely continuing. When regression shows narrowing bands ahead, expect a volatility contraction or consolidation period. For range traders, outer projected bands can be used as potential mean reversion entry points . Combine with volume or momentum filters to confirm whether breakouts are genuine or fading. 🔵 CONCLUSION Bollinger Bands Regression Forecast transforms classic Bollinger analysis into a predictive forecasting model . By merging volatility dynamics with regression-based extrapolation, it provides traders with a forward-looking visualization of likely price boundaries — revealing not only where volatility is but also where it’s heading next.

Normalized Linear Regression (LSMA) Oscillator Normalized Linear Regression (LSMA) Oscillator By Nathan Farmer The Normalized LSMA Oscillator is a trend-following indicator that enhances the classic Linear Regression (LSMA) by applying a range of normalization techniques. This indicator allows traders to smooth out and normalize LSMA signals for better trend detection and dynamic market adaptation. Key Features: Configurable Normalization Methods: This indicator offers several normalization techniques, such as Z-Score, Min-Max, Mean Normalization, Robust Scaler, Logistic Function, and Quantile Transformation. Each method helps in refining LSMA outputs to improve clarity in both trending and ranging market conditions. Smoothing Options: Smoothing can be applied after normalization, helping to reduce noise in the signals, thus making trend-following strategies that use this indicator more effective. Recommended Settings: Logistic Function Normalization: Recommended length of around 12, based on my preferred signal frequency. Z-Score Normalization: Medium period (close to the default of 50), based on my preferred signal frequency. Min-Max Normalization: Medium period, based on my preferred signal frequency. Mean Normalization: Medium period, based on my preferred signal frequency. Robust Scaler: Medium period, based on my preferred signal frequency. Quantile Transformation: Medium period, based on my preferred signal frequency. Usage: Designed primarily for trend-following strategies, this indicator adapts well to varying market conditions. Traders can experiment with the various normalization and smoothing settings to match the indicator to their specific needs and market preferences. Recommendation before usage: Always backtest the indicator for yourself with respect to how you intend to use it. Modify the parameters to suit your needs, over your preferred time frame, on your preferred asset. My preferences are for the assets I happened to be looking at when I made this indicator. Odds are, you're looking at something else, over a different time frame, in a different market environment than what my settings are tailored for.

EXOFADE EXOFADE is an incredible trading indicator designed help give traders a visual clue of price momentum by combining Linear regression calculations with volume. Overview: ExoFade is a unique and dynamic trading indicator designed for both beginner and professional traders. At its core, it uses a sophisticated blend of multiple linear regression analysis, incorporating price, time, and volume-weighted moving average (VWMA) to predict potential price movements. By analyzing these key factors, EXOFade offers an innovative approach to understanding market trends and identifying trade opportunities. Why It Works: ExoFade works by calculating a regression line that adapts to market conditions, factoring in both price trends and trading volumes. This approach provides a more nuanced view of market momentum, going beyond traditional price-only indicators. The inclusion of time as a variable offers unique insights into market dynamics, making ExoFade a valuable tool for various trading strategies. Key Features to Look Out For: Regression Line: The heart of ExoFade, offering visual cues about the market's direction. ATR-Based Fade Levels: Utilizes Average True Range (ATR) to set dynamic levels that signal potential reversals or continuation. The indicator comes with three fade levels, which are described below Alert Conditions: You can set up for alerts for when any of the fade levels have been been reached, indicating potential entry points. What Are Fade Levels And How To Use The Enter Trades: The exofade line always moves with price, this indicates that the current volume is moving in the same direction. When you see the exofade start to move ahead of price. For example, in an Uptrend, if price stops making new highs and you see the exofade line continue moving up ahead of price as price stagnates, this is the first time that you should be expecting pull back or reversal. When the line starts to visibly curve, this when you want to enter the trade. Sometimes, the exofade line will move just a little bit ahead of price, and sometimes it will move a clear distance ahead of price. From my experience, the further ahead it moves from price without price keeping up, the higher the probability of a pullback or reversal. The actual pullback then starts when the exofade line starts to curve, which signifies the start if the actual pullback. Since we cannot sit and watch for when the line has either moved further ahead enough or started to curve, thats why i figured to use ATR as the best way to measure the distance the exofade line moves ahead of price and the ATR also happens to measure Volatility, which makes it a perfect match. From forward testing this for months, i have found the pullbacks typically start when the exofade line has moved ahead of price by atleast 2 ATR's. A distance of 2 ATR and above are the ones i consider the best setups. This also marks the point for your stop loss, since 2 ATR is generally used stoploss level. To catch and sell a pullback in an uptrend, you can set alert for one or both of these alerts Fade Level 2 abv price - This alert will trigger once Exofade line reached 2 ATR ABOVE price (Just means it has reached 2 atr, dosent mean it has started curving yet) Curve lvl 2 - SELL - This alert means the exofade line has started to curve at 2 ATR To buy pullbacks in a downtrend you set the opposite alerts of the one above for curve below price There are also same alerts for level 3 as well, which is 2.5 ATR IMPORTANT NOTES - DONT SKIP THIS For daily and intra-day swings - Use this on 1hr trend upwards - The exofade line much slower on higher timeframe, so when you get a curve on a high time frame, like the 4HR or Daily timeframe, those are excellent signals For scalpers trading 1hr below - The exofade moves faster on lower timeframes, so more caution should be used with these on lower timeframes , you this with other confluences like a good momentum oscillator oversold/overbought regions StochRSI, MACD etc EXTRA TIPS - Since the curve forms slower on higher time frames, it means getting a curve the on daily and weekly chart can help in your trend analysis to detect early signs of potential trend reversals -I typically pair this with my customized version of Nadaraya watsons envelope ( a free indicator on tradingview) It will further improve your entry and winrate. Biggest advantage is for setting a profit target. In a buy trade for example, you buy the curve below price and set your profit target for the top band of the nadaraya watson envelope. Very efficient for scalping - Unique areas were you want to pay attention to the exofade is when price enters points of interest, this depending on your trading style could be a -FVG - fair value gaps -Order blocks - Supply / Demand areas -Volume profile Value area High and Value area Low The are two scenarios i would like you to be cautious of 1. As with every indicator and strategy, i most definitely wouldn't use this during high impact news. 2. If price is trending very strongly in one direction only, such that even barely gives any decent pull backs at all. Most especially if that strong push is happening between the 4hr to Daily time frame. Do not attempt to counter those trends unless you know what you are doing. Its not advisable. Instead i'll recommend using the Exofade to catch an entry in the direction of the trade for a continuation. And Lastly Since this indicator uses VOLUME data as part of its calculations. It will not work on any pairs that tradingview does not provide volume data for, like Gold. But it will work normally on Gold Futures, since that has volume data

Leavitt Convolution Slope [CC]The Leavitt Convolution Slope indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well known for creating the Volume-Weighted Average Price indicator. This indicator is very similar to the Leavitt Convolution indicator but the big difference is that it is getting the slope instead of predicting the next Convolution value. I changed quite a few things from the original source code so let me know if you like these changes. I added a normalization function using code from a good friend @loxx that I recommend to leave on but feel free to experiment with it. Last but not least, the unsure levels are essentially acting as a buy or sell threshold. I personally recommend to buy or sell for zero crossovers but another option would be to buy or sell for crossovers using the unsure levels. I have color coded the lines to turn light green for a normal buy signal or dark green for a strong buy signal and light red for a normal sell signal, and dark red for a strong sell signal. This is another indicator in a series that I'm publishing to fulfill a special request from @ashok1961 so let me know if you ever have any special requests for me.

Leavitt Projection [CC]The Leavitt Projection indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well known for creating the Volume-Weighted Average Price indicator. This indicator is very simple but is also the building block of many other indicators, so I'm starting with the publication of this one. Since this is the first in a series I will be publishing, keep in mind that the concepts introduced in this script will be the same across the entire series. The recommended strategy for how to trade with these indicators is to plot a fast version and a slow version and go long when the fast version crosses over the slow version or to go short when the fast version crosses under the slow version. I have color coded the lines to turn light green for a normal buy signal or dark green for a strong buy signal and light red for a normal sell signal, and dark red for a strong sell signal. I know many of you have wondered where I have been, and my personal life has become super hectic. I was recently hired full-time by TradingView, and my wife is pregnant with twins, and she is due in a few months. I will do my absolute best to get back to posting scripts regularly, but I will post a bunch today in the meantime to fulfill a special request from one of my loyal followers (@ashok1961).

Many Moving Averages A smooth looking indicator created from a mix of ALMA and LRC curves. Includes alternative calculation for both which I came up with through trial and error so a variety of combinations work to varying degrees. Just something I was playing around with that looked pretty nice in the end.

Rollin' pseudo-Bollinger Bands 5 linear regression curves and new highs/lows mixed together from the basis for this indicator. Using slightly different logic an upper boundary and lower boundary are formed. Then the boundary's are built upon to show price channels within the band using variations of fib levels and the distance between the initial boundary's. Dots plotted show the inverse of the close price relative to either the upper or lower boundary depending on where the close is relative to the center of the band. This shows the market's tendency for symmetry which is useful when looking for reversals etc. If it's too cluttered feel free to turn off some things in the options and keep what you feel is helpful.

Standard deviation channel of linear regression distance [AbAh]The indicator calculates the distance between linear regression line and the data point (price) as a percentage , then calculates the standard deviation for the linear regression distance , then draw the channel of two lines depending on the values of standard deviation . ///////// How to use //////////////// 1 - for Best result , indicator should be used on 2H frame Time of less : like 1H or 30 min 2 - The upper line and the lower line, both play a role as a support and resistance area, when the price bounces from the upper zone or lower zone, there is a high probability that it will move to the other line. 3 - The price breakout of one of the lower or upper lines may indicate a major price movement coming in the direction of the breakout /////////////////////////////////////

Linear Regression Channel / Curve / Slope by DGT Tʜᴇ Lɪɴᴇᴀʀ Rᴇɢʀᴇꜱꜱɪᴏɴ Cʜᴀɴɴᴇʟꜱ Linear Regression Channels are useful measure for technical and quantitative analysis in financial markets that help identifying trends and trend direction. The use of standard deviation gives traders ideas as to when prices are becoming overbought or oversold relative to the long term trend The basis of a linear regression channel Linear Regression Line – is a line drawn according to the least-squares statistical technique which produces a best-fit line that cuts through the middle of price action, a line that best fits all the data points of interest. The resulting fitted model can be used to summarize the data, to predict unobserved values from the same system. Linear Regression Line then present basis for the channel calculations The linear regression channel 2. Upper Channel Line – A line that runs parallel to the Linear Regression Line and is usually one to two standard deviations above the Linear Regression Line. 3. Lower Channel Line – This line runs parallel to the Linear Regression Line and is usually one to two standard deviations below the Linear Regression Line. Unlike Fibonacci Channels and Andrew’s Pitchfork, Linear Regression Channels are calculated using statistical methods, both for the regression line (as expressed above) and deviation channels. Upper and Lower channel lines are presenting the idea of bell curve method, also known as a normal distribution and are calculated using standard deviation function. A standard deviation include 68% of the data points, two standard deviations include approximately 95% of the data points and any data point that appears outside two standard deviations is very rare. It is often assumed that the data points will move back toward the average, or regress and channels would allow us to see when a security is overbought or oversold and ready to revert to the mean please note : Over time, the price will move up and down, and the linear regression channel will experience changes as old prices fall off and new prices appear █ Linear Regression Study Features Linear Regression Channel - Linear regression line as basis - Customizable multiple channels based on Standard Deviation - ALERTs for the channel levels Linear Regression Curve - Linear regression curve as basis - Optional : Bands based on Standard Deviation or Volatility (ATR). Bands are applied with fixed levels 1, 2 and 3 times StdDev or ATR away from the curve Linear Regression Slope - Optional : Up/Down slope arrows for a used defined period █ Volume / Volatility Add-Ons High Volatile Bar Indication Volume Spike Bar Indication Volume Weighted Colored Bars