ORCA 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 27, 17:00 | Jan 28, 05:00 | Long | $1.0600 | $1.0600 | 0% |
| Jan 26, 03:00 | Jan 27, 02:00 | Long | $1.0480 | $1.0630 | +1.43% |
| Jan 25, 00:00 | Jan 25, 13:00 | Long | $1.1390 | $1.0920 | -4.13% |
| Jan 24, 04:00 | Jan 24, 19:00 | Long | $1.0620 | $1.0590 | -0.28% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $1.0770 | $1.0510 | -2.41% |
| Jan 23, 02:00 | Jan 23, 15:00 | Long | $1.0670 | $1.0600 | -0.66% |
| Jan 21, 19:00 | Jan 22, 07:00 | Long | $1.0750 | $1.0730 | -0.19% |
| Jan 21, 01:00 | Jan 21, 17:00 | Long | $1.0660 | $1.0440 | -2.06% |
| Jan 19, 11:00 | Jan 20, 08:00 | Long | $1.0920 | $1.0690 | -2.11% |
| Jan 18, 02:00 | Jan 18, 08:00 | Long | $1.1890 | $1.1710 | -1.51% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 23.53% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.67x, consider wider stop-losses to improve average win size on ORCA.
This volume (85 trades) means the MACD is highly responsive to ORCA price action.
Time-of-day filtering may improve results: analyze when ORCA shows strongest MACD response.
Volatility clustering in ORCA 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 ORCA with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- 23.53% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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