RED RSI Strategy (1h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 27, 09:00 | Jan 28, 00:00 | Long | $0.2448 | $0.2605 | +6.41% |
| Jan 25, 14:00 | Jan 26, 08:00 | Long | $0.2390 | $0.2383 | -0.29% |
| Jan 22, 14:00 | Jan 23, 05:00 | Long | $0.2235 | $0.2328 | +4.16% |
| Jan 18, 04:00 | Jan 22, 07:00 | Long | $0.2486 | $0.2262 | -9.01% |
| Jan 16, 15:00 | Jan 17, 16:00 | Long | $0.2438 | $0.2558 | +4.92% |
| Jan 15, 03:00 | Jan 16, 09:00 | Long | $0.2569 | $0.2500 | -2.69% |
| Jan 12, 09:00 | Jan 13, 14:00 | Long | $0.2543 | $0.2629 | +3.38% |
| Jan 7, 11:00 | Jan 9, 01:00 | Long | $0.2510 | $0.2571 | +2.43% |
| Dec 28, 13:00 | Jan 1, 14:00 | Long | $0.2276 | $0.2176 | -4.39% |
| Dec 23, 14:00 | Dec 24, 16:00 | Long | $0.2077 | $0.2171 | +4.53% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 57.69% win rate is within expected range for RSI algorithms. Focus shifts to risk-reward optimization.
At 1.00x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
High signal frequency (26 trades) suits active traders seeking regular RED engagement.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Time-of-day filtering may improve results: analyze when RED shows strongest RSI response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for RED with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 57.69% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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