RSI 70-30 Strategy

Explore the RSI 70-30 strategy for S&P 500 Daily timeframe, buying on oversold (RSI < 30) and selling on overbought (RSI > 70) conditions.

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: educational
  • Timeframes: Daily
  • Markets: S&P 500

Indicators used

  • RSI
  • 200-day moving average

Source video

Decoded from: How reliable is the 70-30 RSI strategy? by Quantified Strategies — watch the original

Key timestamps:

  • 0:12 - Strategy definition
  • 0:26 - Backtesting parameters
  • 0:39 - Backtesting results
  • 0:55 - Strategy limitations
  • 1:00 - Potential fixes

Strategy overview

Pairing an oscillator with a long-term moving average is the standard way to trade mean reversion without fighting the dominant trend: the 200-day line describes the regime, the RSI picks the moment inside it. What separates this entry from a tutorial is that its source never sets out to teach the setup. Quantified Strategies titled the video as a question — "How reliable is the 70-30 RSI strategy?" — and spends its runtime answering it rather than selling it.

The running order is an audit, not a lesson: define the strategy, state the backtesting parameters, show the results, then name the limitations and propose potential fixes. That last pair is the informative part. A video that ends on limitations and fixes is treating the textbook 70/30 thresholds and the default oscillator sensitivity as a hypothesis to be tested on daily data, not as settings to be copied — and the direction of the fix it reaches for tells you where the author believes the weakness actually sits, which is in how quickly the oscillator reacts rather than in the levels everyone argues about.

Worth holding onto regardless of which side of the verdict you land on: backtest figures presented in a video describe one instrument over one period under one set of assumptions, which makes them a reason to run your own test rather than a substitute for having run one. This page does not carry a decoded mechanical rule set, because the source is an evaluation of a widely known setup rather than a specification of a new one — what it offers is the concept and the way the video frames the reliability question.

Topics

rsi 70-30 strategy · technical indicators · s&p 500 trading strategy · daily trading strategy · rsi strategy · oversold overbought strategy · tradingview strategy · trading strategy · swing trading · pine script

Frequently asked questions

What is the 70-30 RSI strategy?

It is the classic mean-reversion reading of the Relative Strength Index: values above 70 are treated as overbought and values below 30 as oversold, with trades taken on the expectation that price reverts from those extremes. On daily charts it is commonly paired with a long-term moving average so the trade is taken with the prevailing trend rather than against it.

Why combine RSI with a 200-day moving average?

The 200-day moving average acts as a regime reference. It separates an oversold reading that occurs inside a longer-term uptrend from one that occurs during a sustained decline — situations that look identical on the oscillator alone but behave very differently.

Is the 70-30 RSI strategy reliable?

That is the exact question the source video sets out to test, and it answers it with a backtest followed by an explicit limitations section and suggested fixes. The honest general answer is that fixed thresholds are a starting assumption, not a market property: reliability depends on the instrument, the period, the holding time and the trading costs, which is why the video treats the default configuration as something to be challenged.

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

Re-run it yourself on the instruments and periods you actually trade, including costs, instead of relying on results shown in a video. Strategy Decoder catalogs strategies presented in video sources so you can find them, understand what is being claimed, and take them to TradingView for your own testing.

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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