200-Day Moving Average Strategy

Discover a 200-day moving average strategy for S&P 500, combining trend following with RSI mean reversion for enhanced performance on daily timeframes.

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

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

Indicators used

  • 200-Day Moving Average
  • RSI

Source video

Decoded from: 200-Day MA Strategy: Rules & Backtest (Beat the Market) by Quantified Strategies — watch the original

Key timestamps:

  • 0:40 - 200-day MA as a trend filter
  • 0:50 - Simple strategy rules (S&P 500)
  • 1:45 - Mean reversion strategy rules (RSI)
  • 2:05 - Adding 200-day MA filter to mean reversion strategy

Strategy overview

The 200-day moving average is the market's most-watched long-term trend line, the single reading most traders use to separate a bullish regime from a bearish one. This entry decodes Quantified Strategies' "200-Day MA Strategy: Rules & Backtest (Beat the Market)", which is less about the line itself than about how one filter can be dropped into two very different systems within a single video.

The walkthrough is built modularly. It first uses the 200-day MA as the trend filter behind a simple rule on the S&P 500, then treats an RSI mean-reversion setup as a separate object, and finally bolts the same 200-day MA onto that mean-reversion system as an added gate. The point being demonstrated is that one line can play two roles — a directional trigger in the trend-following version, and a permission filter that decides when the mean-reversion trades are allowed in the second. That "here are two strategies, now watch what the filter does to them" structure is the channel's characteristic rules-and-backtest teaching format.

The title's "Beat the Market" billing frames everything against buy-and-hold on the S&P 500 — the benchmark the video measures against, not an outcome anyone can vouch for. What makes this angle worth watching is exactly that reframing: the 200-day line that most people treat as a static bull/bear marker is put to work as a swappable component across two mechanical approaches, on daily bars.

Topics

200-day moving average · moving average strategy · rsi strategy · s&p 500 trading strategy · spy trading strategy · trend following · mean reversion strategy · technical indicators · daily trading strategy · trading strategy · pine script · tradingview strategy · stock trading strategy · trend filter

Frequently asked questions

What does the 200-day moving average tell you?

It is the most widely watched long-term trend reference. Price trading above it is generally read as a bullish regime and below it as bearish, which is why it is so often used as a filter to keep trades aligned with the dominant trend rather than fighting it.

How does this video use the 200-day MA?

In two roles. The source video first uses it as the trend filter inside a simple S&P 500 strategy, then applies it as an add-on filter on top of a separate RSI mean-reversion strategy — showing how the same line can serve as a directional trigger in one system and a permission gate in another.

What does "Beat the Market" mean in the title?

It is the channel's framing that the strategies are benchmarked against buy-and-hold on the S&P 500. It describes what the video measures against, not a guaranteed result — any rule set should be tested on your own data before it is trusted.

Can I test a 200-day MA strategy myself?

Yes. Because the 200-day MA and its filter conditions are fully mechanical, they can be backtested on historical daily data. Strategy Decoder extracts the structure of strategies like this one from video sources so you can evaluate and test them 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.

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