BCH RSI Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 13, 04:00 | Jan 28, 04:00 | Long | $609.3 | $595 | -2.35% |
| Jan 7, 16:00 | Jan 10, 20:00 | Long | $629.2 | $649.7 | +3.26% |
| Dec 31, 00:00 | Jan 3, 00:00 | Long | $596 | $636 | +6.71% |
| Dec 22, 04:00 | Dec 26, 04:00 | Long | $580.1 | $606.6 | +4.57% |
| Dec 6, 00:00 | Dec 18, 12:00 | Long | $562.2 | $571.2 | +1.6% |
| Nov 25, 16:00 | Dec 3, 12:00 | Long | $521.1 | $587.1 | +12.67% |
| Nov 3, 12:00 | Nov 23, 00:00 | Long | $521.2 | $549 | +5.33% |
| Oct 10, 20:00 | Oct 21, 16:00 | Long | $542.6 | $500.7 | -7.72% |
| Oct 7, 16:00 | Oct 10, 12:00 | Long | $576.5 | $593.9 | +3.02% |
| Sep 20, 12:00 | Oct 1, 08:00 | Long | $599.7 | $589.3 | -1.73% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 76.92% win ratio reflects strong alignment between RSI signals and actual BCH market movements on the 4h chart.
A 3.75 profit factor on BCH is remarkable. This indicates well-timed entries and exits.
At 13 trades, the algorithm filters noise while capturing significant BCH moves.
Compound growth strategy: reinvest 50% of profits into position size.
Best results occur when BCH's 4h trend aligns with higher timeframe momentum.
Historical analysis suggests reducing position size by 50% during VIX spikes above 30.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for BCH with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- RSI generates clear entry/exit signals.
- No parameter optimization needed for BCH.
- Robust across multiple market regimes.
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