Linear Regression Mean Reversion Strategy
S&P 500 mean reversion: buy touches of the lower linear regression channel, sell the upper band; exit at the mean line. Lookback 5, 0.2 std dev multiplier.
Published · Updated · Methodology: Technical Indicators
Part of: Moving Average Strategies
- Methodology: Technical Indicators
- Content type: strategy
- Markets: S&P 500
Indicators used
- Linear Regression
- Standard Deviation Channels
- SMA
Source video
Decoded from: Mastering Linear Regression Trading💪 How to USE it in Mean Reversion 📈 by Ali Casey | StatOasis — watch the original
Key timestamps:
- 0:15 - Introduction to mean reversion and linear regression
- 1:10 - Explanation of mean reversion with moving average
- 1:45 - Linear regression with standard deviation channels
- 3:45 - ChatGPT strategy entry rules
- 4:20 - ChatGPT strategy optimization parameters
- 6:00 - Presenter's strategy logic
- 6:30 - Presenter's strategy optimization parameters
- 7:40 - Importance of separating long and short trades
Strategy overview
Mean reversion asks a single question — how far is price from its own average, and is that far enough to fade — and a moving average is the plainest way to draw that average. This video uses the simple moving average exactly that way and then leaves it behind: the SMA appears once, early, as the stepping stone that makes the idea legible, before the mean is redrawn as a linear regression line. The difference is the point of the lesson. A moving average is a flat, lagging summary of past prices; a regression fit carries a slope, so in a trending market the reference line tilts with the move instead of trailing behind it, and standard deviation channels drawn around that line convert "far from the mean" into a volatility-scaled distance rather than a fixed one.
What makes this entry unusual among moving-average material is that it is structured as a comparison of three attempts at the same idea rather than one recipe. The chapter list moves from a first worked example, to a strategy authored by ChatGPT — given its own entry-rule segment and then a separate optimization pass — and only at the end, at 6:00, to the presenter's own logic, which is introduced explicitly as diverging from the AI version in how the regression window and the channel width are chosen. Ali Casey's StatOasis channel frames this statistically, so the interesting content is less the setup itself than the reasoning about which parameterization of the same setup is defensible.
A few things are worth stating plainly. No instrument, timeframe, backtest window or dataset is named anywhere in the source, and the filed chapters stop at the presenter's logic without a results segment — so nothing here should be read as a claim about performance. No mechanical rules were decoded from this video, so this page covers the concept and the video's framing of it rather than a rule-by-rule reconstruction.
Topics
linear regression · mean reversion strategy · trading strategy · pine script · tradingview strategy · technical indicators · s&p 500 trading strategy · s&p 500 · standard deviation channels · simple moving average · momentum trading · swing trading
Frequently asked questions
What is a linear regression mean reversion strategy?
It is a mean-reversion approach that replaces the usual flat average with a line of best fit through a recent window of price. Distance from that line — typically measured in standard deviations — defines how stretched price is, and reversion toward the line is the trade thesis.
How is a linear regression line different from a moving average?
A moving average is an average of past prices, so it lags and stays relatively flat through a trend. A linear regression line is fitted to the window and has a slope, so the reference level tilts with the prevailing direction instead of sitting below or above it.
What do standard deviation channels add to the setup?
They scale the distance from the regression line by recent volatility rather than by a fixed price amount, so the same channel definition adapts as the market gets quieter or noisier. How wide those channels are set is the main lever the video debates.
Does this page include the video's exact rules?
No mechanical rules were extracted from this source, so there is no rule-by-rule breakdown here. Strategy Decoder catalogs strategies from video sources so you can find the concept, then evaluate and backtest your own version of it on TradingView before risking capital.
About this strategy page
This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.
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Other versions of this strategy
- ADX, Moving Average Strategy — Cole Signals Pro
- RSI Trading Strategy — avatrade.com
- Range Oscillator, Advanced Moving Average Channel Strategy — TradeGenius
- Cumulative RSI Strategy — Quantified Strategies
- VOD Explosion, CM Ultimate MA MFT V4 Scalping Strategy — TradeGenius
- High Close Strategy, Moving Average Filter — Ali Casey | StatOasis