RSI, Moving Average Mean Reversion Strategy

A mean reversion strategy for Nasdaq futures (NQ, MNQ) utilizing daily bars. It buys dips in uptrends and sells rallies in downtrends based on RSI and a 250-day

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: 1440 minute bars (daily bars)
  • Markets: Nasdaq futures (@NQ), Mini Nasdaq futures (@MNQ)

Indicators used

  • RSI
  • Moving Average

Source video

Decoded from: Nasdaq Rocket 🚀 | Strategy of the Month July 2026 by Peak Trading Research — watch the original

Key timestamps:

  • 0:00 - Strategy of the Month July 2026
  • 0:18 - Performance Summary & Statistics
  • 1:39 - Symbol Settings and System Properties
  • 2:48 - Multi-Year Performance Analysis
  • 3:17 - Contract Size & Margin Requirements
  • 4:19 - Setting Up the Nasdaq Mini Contract
  • 5:15 - Nasdaq Chart with System Trades
  • 6:28 - Full System Code Logic (EasyLanguage)
  • 9:39 - More Markets, More Systems: www.PeakAlgo.com
  • 6:59 - Long entry conditions explained
  • 7:30 - Short entry conditions explained
  • 7:54 - Exit conditions mentioned
  • 8:00 - Month filters mentioned

Strategy overview

Mean reversion built on a moving average treats a long-horizon average as the reference for "normal" price and an oscillator like RSI as the measure of how far price has strayed from it. What distinguishes this entry is the frame it uses: daily bars read against a 250-day moving average — a slower yardstick than the conventional 200-day, covering roughly a full year of trading sessions — with RSI supplying the short-term stretch. It is filed as "Strategy of the Month July 2026" from Peak Trading Research, which makes it a dated serial entry from a futures desk rather than a standalone lesson.

The chapter map says as much about the intended audience as the indicators do. More than half of it is about the instrument rather than the idea: symbol settings and system properties, contract size and margin requirements, and a walkthrough of setting up the Nasdaq Mini contract. A performance summary and a multi-year analysis sit at the front. That ordering fits a video aimed at someone deciding whether they can carry the position at all — capital and contract specification treated as first-class questions alongside the logic, not footnotes to it.

What is not on record is worth stating plainly. No entry or exit rules were extracted for this page, and the source never pins a period on the RSI — it is discussed qualitatively, as oversold on one side and extended on the other, against the longer average. Any performance figures belong to the video's own reporting and are not reproduced or verified here. The open question a construction like this leaves is the one every mean-reversion trader eventually meets: whether a stretched oscillator reading is an invitation to fade or a warning that the regime is changing — which is precisely the judgment the long average is there to inform.

Topics

rsi strategy · moving average strategy · mean reversion strategy · nasdaq futures strategy · nq trading strategy · mnq trading strategy · daily timeframe strategy · technical indicators · trading strategy · pine script · tradingview strategy · mean reversion nasdaq

Frequently asked questions

What is a moving average mean reversion strategy?

It uses a moving average as a reference for where price "should" be and treats significant departures from it as temporary, expecting price to return. An oscillator such as RSI is commonly paired with it to measure how stretched the current move is relative to that reference.

Why use a 250-day moving average instead of the more common 200-day?

The source does not explain the choice. In general terms, a 250-day average on daily bars spans roughly a full year of trading sessions, making it a slower and less reactive regime reference than the widely used 200-day — it changes more gradually and is therefore harder to whipsaw.

What does this video actually cover?

Its chapter map runs from a performance summary and statistics through symbol settings and system properties, a multi-year performance analysis, contract size and margin requirements, and finally setting up the Nasdaq Mini contract — so a large share of the runtime goes to the instrument and its capital requirements rather than to the indicator logic.

How should I evaluate a daily-bar mean reversion approach like this one?

Test it on historical daily data over a long enough window to include more than one market regime, since a strategy anchored to a year-long average needs years of history to say anything meaningful. Strategy Decoder catalogs strategies presented in video sources so you can evaluate the concept and test it yourself on TradingView; performance stated in a video is the creator's own reporting, not an independently verified result.

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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