Mean Reversion Strategy with Moving Average and ATR

Explore a mean reversion trading strategy for NASDAQ stocks using Moving Averages and ATR. Learn entry/exit logic for daily timeframes.

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Diario (Daily)
  • Markets: NASDAQ, Acciones (Stocks)

Indicators used

  • Media Móvil (Moving Average)
  • ATR

Source video

Decoded from: La Estrategia del NASDAQ con 3 Reglas que Casi Nadie Conoce (Backtest Real) by Jose Sierra | The Power TRADING — watch the original

Key timestamps:

  • 0:00 - Introduction to the strategy's performance
  • 3:00 - Introduction to Peter and the strategy's origin
  • 4:15 - Strategy entry rules explained
  • 5:00 - Example of entry conditions with AMD
  • 6:30 - Strategy exit rules explained
  • 8:00 - Summary of strategy characteristics and capital usage
  • 9:00 - Logic behind the strategy (human behavior)
  • 10:00 - Long-term backtest results and comparison with NASDAQ
  • 11:00 - Performance during market crashes
  • 12:00 - Importance of portfolio and diversification

Strategy overview

Mean reversion rests on a simple bet: after price stretches unusually far from a longer-term average, it tends to snap back toward it. This entry decodes "La Estrategia del NASDAQ con 3 Reglas que Casi Nadie Conoce (Backtest Real)", a Spanish-language walk-through from Jose Sierra's channel The Power TRADING that applies that idea to the NASDAQ with a deliberately small rule set. The "almost nobody knows" and "real backtest" in the title are the video's own framing, not a verified outcome.

What separates this build from trend-following uses of the same two tools is the role each indicator plays. Here the moving average is treated as an equilibrium line — the level price is expected to return to — rather than a trigger to ride a trend, while ATR acts as the volatility yardstick that gauges how far price has strayed before a reversion becomes plausible. Because it runs on the daily timeframe, the setup reads slow, position-scale swings rather than intraday noise.

The video also spends time on where the approach comes from, crediting a trader it calls Peter, and grounds the logic with a worked example on AMD before summarizing the setup's characteristics and how much capital it ties up. Watch the source to see how Sierra frames each of the three rules and the reasoning he attaches to them.

Topics

mean reversion strategy · moving average strategy · atr strategy · trading strategy · nasdaq trading strategy · stocks strategy · daily timeframe strategy · technical indicators · pine script · tradingview strategy · stock trading strategy · price action · swing trading

Frequently asked questions

What is a mean reversion strategy?

A mean reversion strategy assumes that when price moves unusually far from a longer-term average, it tends to return toward it. Trades are taken in anticipation of that snap-back rather than to follow the prevailing trend.

How are the moving average and ATR used in this version?

In this decoded build the moving average serves as the equilibrium level price is expected to revert to, and ATR is used as a volatility reading to judge how far price has stretched from it. The specific settings and entry logic are shown in the source video.

What market and timeframe does this strategy use?

The video, from the Spanish-language channel The Power TRADING, applies it to the NASDAQ on the daily timeframe, illustrating the entry conditions with a single-name example (AMD).

How can I evaluate this strategy before trading it?

Backtest the mean-reversion logic on historical NASDAQ data across different market conditions before risking capital, and treat the title's "real backtest" claim as the creator's own rather than independently verified. Strategy Decoder catalogs video-sourced strategies like this one so you can study the concept and test it 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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