RSI Reversal and High Breakout Entries with ATR Exits
Summary
This strategy combines a weekly moving-average filter, a short-period RSI condition, and a comparison of recent highs to generate long entries. It enters when the previous close is above the moving-average benchmark, the short-window high matches the longer-window high, and RSI crosses below its threshold. It exits when price moves a specified ATR multiple above or below the average entry price. The published example uses BTC futures with daily base data and a two-day strategy period.
The document describes the rules and adjustable parameters, but gives no performance results or evidence that the approach is profitable. Its explanation calls the RSI event a rebound from oversold territory, although a crossunder below the threshold can also indicate weakening momentum; entries are long-only despite mention of long and short timing. The exit logic uses ATR-based profit and loss distances, while the prose also describes a percentage stop, so implementation details should be checked before evaluation. The source recommends broader backtesting and warns that parameter choice, false RSI signals, and insufficient sample data may impair results.
Key ideas
- A weekly simple moving average is used as a broad market filter for long entries.
- A long signal requires a short-window high to match the longer-window high and RSI to cross below its threshold.
- Exits are triggered when price moves by configured ATR multiples from the average entry price.
- The published example has no short-entry rule and provides no backtest performance results.
- Parameter sensitivity and limited backtest coverage are identified as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.