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.

發行說明

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

發行說明

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

開源腳本

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EdgeLab

Rule-based trading strategies for higher timeframes.
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此外:

免責聲明

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開源腳本

EdgeLab

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

subscribepage.io/edgelab-news

此外: