This indicator plots the 1, 2 and 3 standard deviations from the mean as bands of color (hot and cold). Useful in identifying likely points of mean reversion. Default mean is WMA 200 but can be SMA, EMA, VWMA, and VAWMA. Calculating the standard deviation is done by first cleaning the data of outliers (configurable).

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Introduction: This strategy is a modification of the “3-day Mean Reversion Strategy” from the book "High Probability ETF Trading" by Larry Connors and Cesar Alvarez. In the book, the authors discuss a high-probability ETF mean reversion strategy for a 1-day time-frame with these simple rules: The price must be above the 200 day SMA and below the 5 day SMA. ...

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I like trading the 1 minute and 3 minutes time-frames. I'm what is commonly called a "scalper". Long term investments yes, I have some, but for trading, I don't have neither the time, nor the patience to wait hours or days for my trade to be complete. This doesn't mean I discount the higher time-frames, no, I actually rely heavily on them. I found that EMAs do a...

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The augmented Dickey-Fuller test (ADF) is a statistical test for the tendency of a price series sample to mean revert . The current price of a mean-reverting series may tell us something about the next move (as opposed, for example, to a geometric Brownian motion). Thus, the ADF test allows us to spot market inefficiencies and potentially exploit this...

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This is a simplified version of the Hurst Exponent indicator. In the meantime, I'm working on the full version. It's computationally intensive, so it's a challenge to squeeze it to PineScript limits. It will require some time to optimize it, so I decided to publish a simplified version for now. The Hurst exponent is used as a measure of long-term memory of time...

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My first try to implement Full Hurst Exponent. The Hurst exponent is used as a measure of long-term memory of time series. It relates to the autocorrelations of the time series and the rate at which these decrease as the lag between pairs of values increases The Hurst exponent is referred to as the "index of dependence" or "index of long-range dependence". It...

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This oscillator is used for *mean reversion* strategies only. This oscillator calculates the real-time distance of a price-point subtracted from the SMA, then compares it to the average distance to determine equilibrium imbalances. When the imbalance becomes less and goes under the signal line, a reversal is very likely. Do not trade mean reversion during any...

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The Bollinger Imbalance Oscillator is used for *mean reversion* purposes only. It uses Double Bollinger deviation levels to determine each level of perceived imbalance. When price start to revert to its mean after an imbalance, small char-type arrows appear to assist with direction. This oscillator also includes a squeeze feature on the center-line, based on...

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Mean reversion strategy, based upon the price deviation (%) from a chosen moving average (bars). Do note that the "gains" are always relative to your starting capital, so if you set a smaller starting capital (e.g. $10000) your gains will look bigger. Also when the strategy tester has finished calculating, check the "Open P/L", as there could still be open trades....

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Count of previous bars above or below a chosen Exponential Moving Average. Typically price reconnects with well defined EMAs regularly. If the price has been above/below an EMA for too long, you can expect a reconnect in a short order and bet on mean reversion strategies.

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A basic mean-reversion strategy. Shorts when the close is 10% above the MA, and goes long when it's 10% below the MA.

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Price equilibrium study. Can be used for mean reversion.

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Mean Reversion and Momentum Interpretation: - Divergence means trend reversal - Parallel movement means trend continuation Squares above serve as a confirming signal

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Free for public consumption There is very little original here, the idea is discussed in the underground traders alliance, (google em), and was apparently the basis of what was at one time myfxbooks most profitable strategy. I can't find the original video that was floating around on youtube, but if i find it again, i'll link it here. This is bascially just...

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This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average. If you are going to use this, you may wish to apply...

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This Indicator shows the Absolute Rate of Change in correlation to its Moving Average. Values over 3 (gray dotted line) can savely be considered as a breakout; values over 4.5 got a high mean-reverting chance (red dotted line). This Indicator can be used in all timeframes, however, i recommend to use it <30m, when you want search for meaningful Mean-Reverting...

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