BCH MACD Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 21, 04:00 | Jan 24, 20:00 | Long | $596.6 | $594.7 | -0.32% |
| Jan 16, 12:00 | Jan 20, 04:00 | Long | $599.8 | $579.5 | -3.38% |
| Jan 15, 08:00 | Jan 15, 16:00 | Long | $624.8 | $588.4 | -5.83% |
| Jan 10, 04:00 | Jan 12, 08:00 | Long | $636.1 | $626.9 | -1.45% |
| Jan 2, 16:00 | Jan 5, 20:00 | Long | $612.3 | $646.7 | +5.62% |
| Dec 25, 12:00 | Dec 29, 08:00 | Long | $590.3 | $606.6 | +2.76% |
| Dec 17, 04:00 | Dec 21, 04:00 | Long | $546.1 | $588.4 | +7.75% |
| Dec 12, 04:00 | Dec 14, 16:00 | Long | $579.7 | $567 | -2.19% |
| Dec 7, 16:00 | Dec 8, 16:00 | Long | $603.7 | $582.6 | -3.5% |
| Dec 7, 04:00 | Dec 7, 08:00 | Long | $590.5 | $577.4 | -2.22% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 29.73% accuracy warns of extended losing streaks. Psychological preparation is essential for this BCH setup.
At 0.86x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
High signal frequency (37 trades) suits active traders seeking regular BCH engagement.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
The algorithm capitalizes on BCH's characteristic volatility patterns on the 4h timeframe.
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 BCH with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on BCH.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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