APT 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, 07:00 | Long | $1.5220 | $1.5480 | +1.71% |
| Jan 25, 05:00 | Jan 25, 15:00 | Long | $1.5510 | $1.5410 | -0.64% |
| Jan 24, 20:00 | Jan 25, 04:00 | Long | $1.5520 | $1.5450 | -0.45% |
| Jan 24, 11:00 | Jan 24, 16:00 | Long | $1.5530 | $1.5400 | -0.84% |
| Jan 23, 17:00 | Jan 23, 19:00 | Long | $1.6080 | $1.5580 | -3.11% |
| Jan 23, 01:00 | Jan 23, 14:00 | Long | $1.5580 | $1.5780 | +1.28% |
| Jan 22, 09:00 | Jan 22, 14:00 | Long | $1.5750 | $1.5480 | -1.71% |
| Jan 21, 21:00 | Jan 22, 08:00 | Long | $1.5860 | $1.5600 | -1.64% |
| Jan 21, 14:00 | Jan 21, 17:00 | Long | $1.5870 | $1.5160 | -4.47% |
| Jan 21, 01:00 | Jan 21, 13:00 | Long | $1.5700 | $1.5540 | -1.02% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 22.89% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.51x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 83 signals offer many compounding opportunities but require strict execution discipline.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Volatility clustering in APT may cause consecutive signals—beware of correlation between trades.
During strong APT trends, this MACD captures continuation moves effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for APT with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with APT volatility.
- Drawdown tolerance required for 22.89% win rate.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us