Pullback Trading Strategy with 200-day Moving Average, 20-day Moving Average, RSI

Discover a daily pullback trading strategy for S&P 500 and stocks, using 200-day and 20-day moving averages with RSI for entry. Maximize returns by identifying

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily
  • Markets: S&P 500 (SPY), Stocks, Forex (alternative entry)

Indicators used

  • 200-day Moving Average
  • 20-day Moving Average
  • RSI

Source video

Decoded from: Pullback Trading Strategies: Setup and Backtest Analysis - QuantifiedStrategies.com by quantifiedstrategies.com — watch the original

Strategy overview

A pullback strategy waits for a temporary dip against the prevailing trend instead of chasing a breakout, and here the moving average does the defining work: a 200-day line frames the long-term trend backdrop while a 20-day line tracks the nearer-term swing. This entry was decoded from QuantifiedStrategies.com's "Pullback Trading Strategies: Setup and Backtest Analysis," where the moving averages act less as an entry trigger and more as the trend filter that decides when a dip is even worth buying.

What sets this version apart is its source. QuantifiedStrategies is a research-oriented publisher that builds its material around historical testing rather than chart intuition, and the video is framed explicitly as a setup-and-backtest analysis. It pairs the trend context of the two moving averages with an RSI reading to time the entry into the pullback, all on the daily timeframe — a slow trend gate, a faster reference line, and a momentum oscillator for the dip itself. That structure is typical of mean-reversion-within-a-trend systems and is distinct from the breakout or crossover uses the same indicators appear in elsewhere.

Because this is a daily, backtest-first idea, the interesting part is how the components combine and how they hold up when tested, not any single line on the chart. This page summarizes the pullback concept and the source's empirical framing; for the exact entry, exit and filter conditions, the original QuantifiedStrategies video is the reference.

Topics

pullback trading strategy · 200-day moving average · 20-day moving average · rsi strategy · technical indicators · stock trading strategy · forex strategy · daily trading strategy · mean reversion strategy · spy trading strategy · tradingview strategy · pine script · trading strategy

Frequently asked questions

What is a pullback trading strategy?

A pullback strategy looks to enter in the direction of an existing trend after price temporarily retraces against it — buying a dip in an uptrend or selling a bounce in a downtrend — rather than entering on a fresh breakout. The goal is a better entry price within a trend that is assumed to continue.

How are the 200-day and 20-day moving averages used in this strategy?

Conceptually, a long moving average like the 200-day identifies the dominant trend while a shorter one like the 20-day tracks nearer-term price. In a pullback approach the moving averages work as a trend filter, helping keep trades aligned with the larger trend so that only dips in the trend's direction are considered.

What timeframe is this pullback strategy built for?

This version is decoded on the daily timeframe, which suits a trend-plus-pullback approach that holds positions over several days rather than intraday.

Where does this strategy come from and how can I test it?

It was decoded by Strategy Decoder from the QuantifiedStrategies.com video "Pullback Trading Strategies: Setup and Backtest Analysis." Because the source is backtest-focused, the natural next step is to evaluate the concept on your own historical daily data before trading it.

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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