JTO MACD 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 21, 08:00 | Jan 26, 08:00 | Long | $0.3410 | $0.3220 | -5.57% |
| Jan 13, 12:00 | Jan 15, 08:00 | Long | $0.4460 | $0.4430 | -0.67% |
| Jan 10, 12:00 | Jan 12, 08:00 | Long | $0.4510 | $0.4320 | -4.21% |
| Jan 6, 12:00 | Jan 6, 16:00 | Long | $0.5070 | $0.4770 | -5.92% |
| Jan 1, 12:00 | Jan 5, 08:00 | Long | $0.4010 | $0.4730 | +17.96% |
| Dec 29, 00:00 | Dec 29, 08:00 | Long | $0.4010 | $0.3920 | -2.24% |
| Dec 24, 20:00 | Dec 28, 20:00 | Long | $0.3620 | $0.3880 | +7.18% |
| Dec 19, 04:00 | Dec 23, 08:00 | Long | $0.3350 | $0.3520 | +5.07% |
| Dec 16, 12:00 | Dec 17, 16:00 | Long | $0.3660 | $0.3380 | -7.65% |
| Dec 13, 04:00 | Dec 14, 16:00 | Long | $0.3970 | $0.3740 | -5.79% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (24%) on 4h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.32) indicates potential parameter optimization is needed for JTO.
The 25 trade count provides excellent statistical significance for performance evaluation.
Time-of-day filtering may improve results: analyze when JTO shows strongest MACD response.
Volatility clustering in JTO may cause consecutive signals—beware of correlation between trades.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for JTO with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on JTO.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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