NEAR Golden Cross 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 13, 19:00 | Jan 17, 04:00 | Long | $1.8320 | $1.7290 | -5.62% |
| Jan 2, 00:00 | Jan 9, 13:00 | Long | $1.6380 | $1.6990 | +3.72% |
| Dec 26, 23:00 | Dec 31, 20:00 | Long | $1.5180 | $1.4880 | -1.98% |
| Dec 23, 21:00 | Dec 24, 03:00 | Long | $1.5100 | $1.4640 | -3.05% |
| Dec 9, 17:00 | Dec 11, 16:00 | Long | $1.8710 | $1.6440 | -12.13% |
| Dec 4, 23:00 | Dec 5, 15:00 | Long | $1.7960 | $1.7330 | -3.51% |
| Dec 4, 17:00 | Dec 4, 19:00 | Long | $1.8020 | $1.7660 | -2% |
| Nov 28, 17:00 | Nov 30, 00:00 | Long | $1.8810 | $1.8530 | -1.49% |
| Nov 7, 16:00 | Nov 13, 21:00 | Long | $2.6820 | $2.4000 | -10.51% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 11.11% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low profit factor (0.07) indicates potential parameter optimization is needed for NEAR.
The limited 9 sample size suggests viewing this as indicative rather than conclusive.
The algorithm capitalizes on NEAR's characteristic volatility patterns on the 1h timeframe.
NEAR liquidity levels support clean Golden Cross execution without significant slippage impact.
Consider testing Bollinger Band periods of 18-22 candles for potential NEAR optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for NEAR with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for NEAR.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on NEAR may have higher slippage.
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