Triple RSI Quantified Strategy

Explore the Triple RSI strategy for S&P 500 (SPY) daily trading. Captures pullbacks within uptrends using specific RSI conditions for entry.

Published · Updated · Methodology: Technical Indicators

Part of: RSI Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily
  • Markets: S&P 500 (SPY)

Indicators used

  • RSI

Source video

Decoded from: Triple RSI Quantified Strategy (90% Win rate) by Quantified Strategies — watch the original

Key timestamps:

  • 0:00 - Introduction to Triple RSI Strategy
  • 0:20 - Entry rule: 5-day RSI below 30
  • 0:23 - Entry rule: RSI declined 3 days in a row
  • 0:26 - Entry rule: RSI 3 days ago below 60
  • 0:30 - Backtesting results and win rate

Strategy overview

The Relative Strength Index (RSI) measures the speed of recent price moves on a 0-100 scale, and mean-reversion traders have used low readings as a signal that a pullback may be stretched. What makes this variant "triple" is that it does not act on a single oversold reading: it stacks three separate RSI conditions on the daily chart, layering the current reading with requirements about how the indicator arrived there and where it stood a few sessions earlier. The effect is a much narrower filter than a plain oversold rule — fewer signals, each one demanding a specific shape of decline rather than a single number crossing a line.

The source is Quantified Strategies, a channel whose format is built around stating rules and then showing the backtest, and this video follows that pattern: a compact rule list in the first half-minute, then straight into historical results. Its title advertises a 90% win rate, and that framing deserves the usual context — a hit rate quoted for one instrument over one historical window says nothing on its own about average win size, drawdown, or how the same conditions behave on other markets. Multi-condition daily filters of this kind tend to produce high win percentages precisely because they trade rarely, which is a trade-off worth understanding before treating the number as an edge.

This entry catalogues the strategy as presented in the video rather than a full rule-by-rule decode. If you want to work with the idea, the productive path is to treat the triple-condition structure as the concept and re-derive the specifics on your own data: how strict each layer needs to be, what the daily timeframe implies for holding period, and whether the exit is doing more work than the entry.

Topics

triple rsi strategy · technical indicators · rsi strategy · spx trading strategy · spx · spy trading strategy · daily trading · tradingview strategy · trading strategy · pine script · swing trading

Frequently asked questions

What is a Triple RSI strategy?

It is a mean-reversion approach that requires three separate RSI conditions to line up before entering, rather than acting on one oversold reading. Layering conditions on the same indicator makes the filter far more selective, so signals are less frequent than with a single-threshold RSI rule.

Which timeframe does this strategy use?

The daily chart. That places it in swing-trading territory rather than intraday: signals form on daily closes, and positions are held across sessions rather than within one.

Is the 90% win rate in the video title reliable?

That figure comes from the source video's own backtest and is presented there, not verified independently. Win rate alone is incomplete — a high percentage often accompanies small average wins or occasional large losses, so it should always be read alongside average win/loss size, drawdown, and the number of trades in the sample.

How should I evaluate a strategy like this before trading it?

Rebuild it on your own historical data and check whether the results hold outside the exact market and period shown, then look at trade count, drawdown, and performance in different market regimes. Strategy Decoder catalogues strategies from video sources so you can find the concept and test it yourself on TradingView.

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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