Cumulative RSI Strategy

A mean reversion trading strategy for S&P 500 futures and SPY, using a unique Cumulative RSI indicator on daily bars for long entries.

Published · Updated · Methodology: Technical Indicators

Part of: RSI Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily bars [1:50] 'S&P 500 futures daily bars since 2006 all the way up to May 2025.'
  • Markets: S&P 500 futures, S&P 500 ETF (SPY)

Indicators used

  • RSI
  • Cumulative RSI

Source video

Decoded from: Most Traders Use RSI Wrong ❌ Do THIS Instead by Ali Casey | StatOasis — watch the original

Key timestamps:

  • 0:20 - Introduction to Cumulative RSI
  • 1:25 - Original strategy results (2021-2024)
  • 2:00 - RSI 2 and Cumulative RSI explanation
  • 3:00 - New method: dividing by number of lookback periods
  • 3:25 - Optimization parameters
  • 4:30 - Optimal settings for the strategy
  • 5:00 - Strategy performance metrics
  • 5:30 - Comparison with traditional RSI(2) strategy

Strategy overview

The Relative Strength Index (RSI) is a momentum oscillator that scores how strong a recent up- or down-move has been, and it is most often read one bar at a time against fixed overbought/oversold levels. This entry decodes a video that argues that single-bar reading is exactly where most traders go wrong, and reframes the indicator as a *cumulative* signal: instead of reacting to one RSI value, it adds several consecutive readings together so a "stretched" condition only registers when the market has stayed stretched across multiple bars, rather than spiking for a single session.

The source is Ali Casey's StatOasis video "Most Traders Use RSI Wrong ❌ Do THIS Instead," presented in the channel's usual backtest-first style and applied to S&P 500 futures on the daily timeframe. Its distinctive twist is normalization — rather than letting the accumulated RSI grow with however many bars are added, the video divides the running total by the number of periods so the aggregate stays on a comparable, RSI-like scale. That turns Cumulative RSI into a smoother, persistence-weighted version of the classic oscillator, which is the specific angle this page covers.

Because this is a concept-and-method walkthrough rather than a fully specified system, no fixed mechanical entry and exit rules were extracted from the video — the value here is the idea of aggregating RSI over time and the reasoning behind it. To put it to work you would define your own thresholds and trade logic around a cumulative reading and backtest it on your own market and timeframe before risking capital.

Topics

cumulative rsi strategy · rsi trading strategy · mean reversion strategy · technical indicators · s&p 500 futures · spy trading · daily timeframe strategy · pine script strategy · tradingview strategy · long entry strategy · trading strategy · stock trading strategy · futures trading strategy

Frequently asked questions

What is a Cumulative RSI strategy?

Cumulative RSI aggregates several consecutive RSI readings instead of using a single bar's value. By combining RSI across multiple bars, an overbought or oversold condition only registers when it has persisted, which filters out the one-bar spikes that a standard RSI would flag.

How is Cumulative RSI different from standard RSI?

Standard RSI reads one bar against fixed levels like 70/30. Cumulative RSI combines a run of consecutive RSI values into one aggregated, normalized number, so it responds to sustained momentum rather than a momentary reading — a smoother, persistence-weighted take on the same oscillator.

What market and timeframe does this video use?

The video from Ali Casey (StatOasis) applies the Cumulative RSI idea to S&P 500 futures on the daily timeframe, in the channel's backtest-first style.

How can I test a Cumulative RSI approach before trading it?

Backtest it on historical data for your chosen market and timeframe before risking capital. Strategy Decoder extracts the concept and structure of strategies like this one from their video sources so you can study the approach and test your own version on TradingView; note that no fixed mechanical rules were extracted from this video, so treat it as a concept to build and backtest.

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.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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