JASMY 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 |
|---|---|---|---|---|---|
| Dec 25, 00:00 | Jan 3, 00:00 | Long | $0.006130 | $0.006280 | +2.45% |
| Dec 12, 12:00 | Dec 21, 00:00 | Long | $0.006620 | $0.006060 | -8.46% |
| Dec 5, 04:00 | Dec 10, 04:00 | Long | $0.006980 | $0.007420 | +6.3% |
| Nov 11, 20:00 | Dec 3, 08:00 | Long | $0.009280 | $0.007430 | -19.94% |
| Oct 28, 16:00 | Nov 7, 00:00 | Long | $0.0102 | $0.009220 | -9.34% |
| Oct 16, 00:00 | Oct 19, 12:00 | Long | $0.0103 | $0.0102 | -1.84% |
| Oct 9, 04:00 | Oct 13, 04:00 | Long | $0.0125 | $0.0112 | -10.65% |
| Sep 23, 20:00 | Oct 1, 16:00 | Long | $0.0128 | $0.0131 | +1.71% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 37.5% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.17x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The limited 8 sample size suggests viewing this as indicative rather than conclusive.
Shorter timeframes show more signals but lower win rates. 4h is the sweet spot.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider adaptive parameters that adjust to JASMY's current volatility regime.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for JASMY with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 4h charts.
- Best paired with JASMY.
- Automated execution recommended.
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