DOGE 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, 16:00 | Jan 28, 04:00 | Long | $0.1246 | $0.1240 | -0.49% |
| Jan 26, 01:00 | Jan 27, 08:00 | Long | $0.1221 | $0.1223 | +0.13% |
| Jan 24, 20:00 | Jan 25, 02:00 | Long | $0.1244 | $0.1237 | -0.51% |
| Jan 24, 11:00 | Jan 24, 14:00 | Long | $0.1247 | $0.1240 | -0.58% |
| Jan 23, 17:00 | Jan 23, 21:00 | Long | $0.1275 | $0.1243 | -2.53% |
| Jan 23, 02:00 | Jan 23, 14:00 | Long | $0.1251 | $0.1242 | -0.7% |
| Jan 21, 19:00 | Jan 22, 08:00 | Long | $0.1256 | $0.1260 | +0.32% |
| Jan 21, 14:00 | Jan 21, 17:00 | Long | $0.1254 | $0.1214 | -3.24% |
| Jan 21, 00:00 | Jan 21, 12:00 | Long | $0.1239 | $0.1217 | -1.74% |
| Jan 19, 12:00 | Jan 20, 08:00 | Long | $0.1274 | $0.1264 | -0.82% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 24.1% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low profit factor (0.67) indicates potential parameter optimization is needed for DOGE.
High signal frequency (83 trades) suits active traders seeking regular DOGE engagement.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Low volatility periods may reduce signal frequency but improve individual trade quality for DOGE.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for DOGE 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 DOGE volatility.
- Drawdown tolerance required for 24.1% win rate.
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