KSM 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 24, 16:00 | Jan 26, 10:00 | Long | $6.7000 | $6.6300 | -1.04% |
| Jan 22, 15:00 | Jan 23, 05:00 | Long | $6.6300 | $6.8100 | +2.71% |
| Jan 18, 05:00 | Jan 21, 07:00 | Long | $7.7300 | $6.7700 | -12.42% |
| Jan 14, 12:00 | Jan 16, 09:00 | Long | $8.0300 | $7.5700 | -5.73% |
| Jan 11, 21:00 | Jan 13, 12:00 | Long | $7.5900 | $7.4800 | -1.45% |
| Jan 7, 16:00 | Jan 10, 17:00 | Long | $7.8700 | $7.9000 | +0.38% |
| Dec 31, 00:00 | Jan 1, 08:00 | Long | $7.0100 | $6.8900 | -1.71% |
| Dec 28, 19:00 | Dec 30, 16:00 | Long | $7.1300 | $7.1700 | +0.56% |
| Dec 25, 23:00 | Dec 27, 06:00 | Long | $6.7900 | $6.9400 | +2.21% |
| Dec 23, 08:00 | Dec 25, 04:00 | Long | $7.0100 | $7.0600 | +0.71% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 45.83% hit rate on 1h charts balances signal quality with opportunity frequency for KSM.
Low profit factor (0.33) indicates potential parameter optimization is needed for KSM.
This trade volume (24) is suitable for traders who prefer selective engagement.
KSM liquidity levels support clean RSI execution without significant slippage impact.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Low volatility periods may reduce signal frequency but improve individual trade quality for KSM.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for KSM with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 45.83% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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