BTC MACD Strategy (1d) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Dec 20, 00:00 | Jan 20, 00:00 | Long | $88,165.14 | $89,723.91 | +1.77% |
| Nov 26, 00:00 | Dec 17, 00:00 | Long | $89,873.99 | $85,890.36 | -4.43% |
| Oct 26, 00:00 | Nov 3, 00:00 | Long | $113,323.7 | $106,641.55 | -5.9% |
| Oct 1, 00:00 | Oct 11, 00:00 | Long | $117,536.12 | $112,320.16 | -4.44% |
| Sep 6, 00:00 | Sep 23, 00:00 | Long | $110,187.97 | $111,983.79 | +1.63% |
| Aug 11, 00:00 | Aug 16, 00:00 | Long | $118,686 | $117,674.4 | -0.85% |
| Jul 22, 00:00 | Jul 23, 00:00 | Long | $119,954.42 | $118,755.99 | -1% |
| Jun 26, 00:00 | Jul 21, 00:00 | Long | $106,947.06 | $117,380.36 | +9.76% |
| Jun 10, 00:00 | Jun 12, 00:00 | Long | $110,274.39 | $105,671.73 | -4.17% |
| May 21, 00:00 | May 24, 00:00 | Long | $109,643.99 | $107,761.91 | -1.72% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 27.27% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low profit factor (0.54) indicates potential parameter optimization is needed for BTC.
This trade volume (11) is suitable for traders who prefer selective engagement.
The algorithm's entry timing is optimized for early-trend participation on the 1d chart.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
The algorithm capitalizes on BTC's characteristic volatility patterns on the 1d timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for BTC with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on BTC.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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