NEAR 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, 20:00 | Jan 25, 20:00 | Long | $1.5670 | $1.4310 | -8.68% |
| Jan 17, 12:00 | Jan 18, 04:00 | Long | $1.7890 | $1.7180 | -3.97% |
| Jan 13, 04:00 | Jan 15, 04:00 | Long | $1.7240 | $1.7610 | +2.15% |
| Jan 11, 12:00 | Jan 12, 12:00 | Long | $1.7040 | $1.6610 | -2.52% |
| Jan 10, 12:00 | Jan 10, 16:00 | Long | $1.7220 | $1.6950 | -1.57% |
| Jan 6, 12:00 | Jan 6, 16:00 | Long | $1.8190 | $1.7310 | -4.84% |
| Jan 1, 12:00 | Jan 5, 08:00 | Long | $1.5510 | $1.7190 | +10.83% |
| Dec 25, 08:00 | Dec 29, 08:00 | Long | $1.4840 | $1.5420 | +3.91% |
| Dec 22, 00:00 | Dec 23, 08:00 | Long | $1.5140 | $1.4830 | -2.05% |
| Dec 19, 08:00 | Dec 21, 20:00 | Long | $1.4920 | $1.4770 | -1.01% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 25% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.69x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
This volume (40 trades) means the MACD is highly responsive to NEAR price action.
Shorter timeframes show more signals but lower win rates. 4h is the sweet spot.
The algorithm's entry timing is optimized for early-trend participation on the 4h chart.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for NEAR 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 NEAR volatility.
- Drawdown tolerance required for 25% win rate.
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