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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Today I am sharing with the community a volatility indicator that can help you or your algorithms avoid black swan events. Variance is most commonly used in statistics to derive standard deviation (with its square root). It does have another practical application, and that is to identify outliers in a sample of data. Variance in statistics is defined as the...

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Today I am sharing with the community a volatility indicator that uses the Nasdaq VXN Volatility Index to help you or your algorithms avoid black swan events. This is a similar the indicator I published last week that uses the SP500 VIX, but this indicator uses the Nasdaq VXN and can help inform strategies on the Nasdaq index or Nasdaq derivative instruments....

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This strategy is taken from Perry Kaufman's book "Trading System and Methods". You can enter on the direction of the candle, or opposite to it. I find that the opposite tends to yield better results in volatile assets, allowing a better reward to risk ratio. There is no stop loss in this strategy, only a fixed take profit and a time limitation.

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Description : Mean Reversion Channel objective, based on Mean Reversion theory ( everything has a tendency to revert back to its mean), is to help visualizing: Inner Channel -> Dynamic Support and Resistance Outer Channel -> Overbought/Oversold Zone which may signal consolidation phase or potential reversal due to unsustainable move Details on some of...

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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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In stochastic processes, chaos theory and time series analysis, detrended fluctuation analysis (DFA) is a method for determining the statistical self-affinity of a signal. It is useful for analyzing time series that appear to be long-memory processes and noise. █ OVERVIEW We have introduced the concept of Hurst Exponent in our previous open indicator Hurst...

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When asked what the key to successful investing was, Warren Buffet famously said “buy low, sell high.” Was he onto something? Today I am sharing with the community a simple “buy low, sell high” strategy with an optional trend filter and take-profit target. I’ve found that this strategy works well in a variety of markets but has a higher tendency to out-perform buy...

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DESCRIPTION Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated. There are 3 main components that make up Forex Master v4.0: ...

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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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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 quantifies the relative tendency of a time series...

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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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In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation at lag 1 (AR(1) process) in the residuals (prediction errors) from a regression analysis. With the new array function tradingview implemented, we are able to do our calculations on the residuals. The residual is given by subtracting the actual value (in...

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The exa is an oscillator that combines fisher transform with distance from moving average and it is based on a theory that exhaustion can be derived from how far price is able to extend from a moving average, on average. The fisher transform converts price into a gaussian normal distribution, also known as a bell curve {1}. A normal distribution is a type of...

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In Finance, people usually assume the price follows a random walk or more precisely geometric Brownian motion. In 1988, Lo and MacKinlay came up with the variance ratio test to refute the random walk hypothesis and efficient market hypothesis. The variance ratio test is a simple test for market efficiency, autocorrelation, and whether price follows a random walk....

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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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™TradeChartist MA Visualizer is a Moving Average based indicator aimed to visualize price action in relation to the Moving Average in a visually engaging way. =================================================================================================================== █ MA Visualizer Features 11 different Moving Averages to choose from the settings...

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This is based on the indicator TD Sequential: This is an easy way to test it out to see what works and what doesn't. There are moving average exits for both the long side and short side. You can pick from SMA, EMA, VWMA. This also applied to a moving average trend filter. This is separated for the long...

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