POL 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, 01:00 | Jan 26, 19:00 | Long | $0.1210 | $0.1198 | -0.99% |
| Jan 24, 20:00 | Jan 25, 05:00 | Long | $0.1260 | $0.1246 | -1.11% |
| Jan 24, 06:00 | Jan 24, 19:00 | Long | $0.1278 | $0.1253 | -1.96% |
| Jan 23, 01:00 | Jan 23, 09:00 | Long | $0.1332 | $0.1317 | -1.13% |
| Jan 20, 22:00 | Jan 22, 06:00 | Long | $0.1313 | $0.1356 | +3.27% |
| Jan 19, 16:00 | Jan 20, 07:00 | Long | $0.1364 | $0.1339 | -1.83% |
| Jan 18, 15:00 | Jan 18, 23:00 | Long | $0.1438 | $0.1411 | -1.88% |
| Jan 16, 21:00 | Jan 17, 20:00 | Long | $0.1450 | $0.1462 | +0.83% |
| Jan 16, 09:00 | Jan 16, 10:00 | Long | $0.1475 | $0.1458 | -1.15% |
| Jan 15, 13:00 | Jan 15, 16:00 | Long | $0.1566 | $0.1528 | -2.43% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 29.33% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.87x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
This volume (75 trades) means the MACD is highly responsive to POL price action.
The algorithm capitalizes on POL's characteristic volatility patterns on the 1h timeframe.
The 1h timeframe captures optimal trade duration for POL's typical move completion.
Consider testing Bollinger Band periods of 18-22 candles for potential POL optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for POL with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- MACD generates clear entry/exit signals.
- No parameter optimization needed for POL.
- Robust across multiple market regimes.
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