BLUR 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 2, 22:00 | Jan 12, 09:00 | Long | $0.0305 | $0.0307 | +0.62% |
| Dec 25, 14:00 | Dec 31, 18:00 | Long | $0.0283 | $0.0276 | -2.51% |
| Nov 26, 16:00 | Dec 1, 00:00 | Long | $0.0388 | $0.0354 | -8.83% |
| Nov 8, 12:00 | Nov 13, 17:00 | Long | $0.0476 | $0.0427 | -10.32% |
| Oct 26, 22:00 | Oct 29, 01:00 | Long | $0.0539 | $0.0493 | -8.39% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (20%) is common for breakout strategies on volatile assets like BLUR. Focus on risk per trade.
Low profit factor (0.01) indicates potential parameter optimization is needed for BLUR.
With only 5 trades, this is a patient, low-frequency strategy for BLUR.
Kelly Criterion suggests minimal position sizing for this edge.
Consider testing Bollinger Band periods of 18-22 candles for potential BLUR optimization.
BLUR liquidity levels support clean Golden Cross execution without significant slippage impact.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for BLUR with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for BLUR.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on BLUR may have higher slippage.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us