ONE MACD 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 26, 02:00 | Jan 27, 00:00 | Long | $0.003500 | $0.003540 | +1.14% |
| Jan 25, 09:00 | Jan 25, 12:00 | Long | $0.003630 | $0.003550 | -2.2% |
| Jan 25, 05:00 | Jan 25, 06:00 | Long | $0.003620 | $0.003600 | -0.55% |
| Jan 25, 02:00 | Jan 25, 03:00 | Long | $0.003630 | $0.003590 | -1.1% |
| Jan 24, 04:00 | Jan 24, 15:00 | Long | $0.003650 | $0.003610 | -1.1% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.003710 | $0.003590 | -3.23% |
| Jan 23, 00:00 | Jan 23, 10:00 | Long | $0.003630 | $0.003620 | -0.28% |
| Jan 21, 19:00 | Jan 22, 07:00 | Long | $0.003630 | $0.003610 | -0.55% |
| Jan 21, 01:00 | Jan 21, 17:00 | Long | $0.003570 | $0.003490 | -2.24% |
| Jan 19, 15:00 | Jan 20, 23:00 | Long | $0.003600 | $0.003470 | -3.61% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (23.33%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.60x, consider wider stop-losses to improve average win size on ONE.
With 90 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for ONE with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on ONE.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us