GLM Parabolic SAR 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, 06:00 | Jan 27, 22:00 | Long | $0.2308 | $0.2397 | +3.86% |
| Jan 25, 23:00 | Jan 26, 14:00 | Long | $0.2180 | $0.2258 | +3.58% |
| Jan 24, 11:00 | Jan 25, 02:00 | Long | $0.2288 | $0.2275 | -0.57% |
| Jan 23, 17:00 | Jan 23, 19:00 | Long | $0.2304 | $0.2263 | -1.78% |
| Jan 22, 22:00 | Jan 23, 01:00 | Long | $0.2309 | $0.2304 | -0.22% |
| Jan 21, 01:00 | Jan 21, 22:00 | Long | $0.2296 | $0.2386 | +3.92% |
| Jan 20, 11:00 | Jan 20, 16:00 | Long | $0.2277 | $0.2242 | -1.54% |
| Jan 19, 00:00 | Jan 19, 01:00 | Long | $0.2552 | $0.2434 | -4.62% |
| Jan 18, 00:00 | Jan 18, 07:00 | Long | $0.2534 | $0.2545 | +0.43% |
| Jan 16, 03:00 | Jan 16, 11:00 | Long | $0.2892 | $0.2829 | -2.18% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (39.56%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 1.04x, consider wider stop-losses to improve average win size on GLM.
With 91 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Consider adaptive parameters that adjust to GLM's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for GLM with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- 39.56% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us