NEAR Bollinger Bands 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 24, 16:00 | Jan 27, 16:00 | Long | $1.4950 | $1.4850 | -0.67% |
| Jan 20, 08:00 | Jan 23, 17:00 | Long | $1.5470 | $1.5480 | +0.06% |
| Jan 18, 01:00 | Jan 19, 19:00 | Long | $1.7400 | $1.6140 | -7.24% |
| Jan 14, 22:00 | Jan 17, 09:00 | Long | $1.8060 | $1.7920 | -0.78% |
| Jan 7, 14:00 | Jan 9, 15:00 | Long | $1.7290 | $1.7290 | 0% |
| Dec 31, 16:00 | Jan 1, 14:00 | Long | $1.5000 | $1.5460 | +3.07% |
| Dec 28, 18:00 | Dec 30, 08:00 | Long | $1.5670 | $1.5470 | -1.28% |
| Dec 25, 23:00 | Dec 26, 02:00 | Long | $1.4530 | $1.5330 | +5.51% |
| Dec 22, 20:00 | Dec 25, 02:00 | Long | $1.4940 | $1.4720 | -1.47% |
| Dec 21, 02:00 | Dec 22, 08:00 | Long | $1.4960 | $1.5600 | +4.28% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (44%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
At 0.72x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 25 trade count provides excellent statistical significance for performance evaluation.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Volatility-adjusted sizing: reduce position size when NEAR ATR exceeds 150% of average.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for NEAR with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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