Simple RSI Strategy - Rule Based Higher Timeframe Trading

HOW IT WORKS
With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40.

That’s it.

A simple, rule-based mean reversion strategy designed for higher timeframes, where market noise is lower and trading becomes easier to manage.

Core logic:

Long when RSI moves into oversold territory
Exit when RSI mean-reverts upward
Optional short trades from overbought levels
One position at a time (no pyramiding)

No filters.
No discretion.
Just clear, testable rules.

MARKETS & TIMEFRAMES
This strategy is intended for:

Indices (Nasdaq, S&P 500, DAX, etc.)
Liquid futures and CFDs
Higher timeframes: 2H, 4H and Daily

The published example is Nasdaq (NDX) on the 2-hour timeframe.
Higher timeframes are strongly recommended.

HOW TO USE IT

Apply the strategy on a higher timeframe
Adjust RSI levels per market if needed
Use TradingView alerts to avoid constant screen-watching
Focus on execution, risk control, and consistency

This strategy is meant to be a building block, not a complete trading business on its own.
For long-term consistency, it works best when combined with other uncorrelated, rule-based systems.

IMPORTANT

This is not financial advice
All results are historical and not indicative of future performance
Always forward-test and apply proper risk management

For additional notes, setups and related systems, visit my TradingView profile page.

릴리즈 노트

Added optional stop loss and take profit settings based on ATR.

릴리즈 노트

Added optional stop loss and take profit settings based on ATR.

오픈 소스 스크립트

트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.

EdgeLab

Rule-based trading strategies for higher timeframes.
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면책사항

해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.

오픈 소스 스크립트

EdgeLab

Rule-based trading strategies for higher timeframes.
Free newsletter with strategies & research 👇

subscribepage.io/edgelab-news

또한 다음에서도: