SHIB Bollinger Bands Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Dec 31, 16:00 | Jan 2, 04:00 | Long | $0.00000686 | $0.00000752 | +9.62% |
| Dec 11, 08:00 | Dec 27, 20:00 | Long | $0.00000824 | $0.00000730 | -11.41% |
| Dec 1, 00:00 | Dec 3, 12:00 | Long | $0.00000796 | $0.00000911 | +14.45% |
| Nov 11, 20:00 | Nov 24, 16:00 | Long | $0.00000963 | $0.00000834 | -13.4% |
| Oct 30, 08:00 | Nov 7, 04:00 | Long | $0.00000997 | $0.00000942 | -5.52% |
| Oct 10, 12:00 | Oct 21, 12:00 | Long | $0.00001157 | $0.00001046 | -9.59% |
| Sep 22, 00:00 | Sep 28, 20:00 | Long | $0.00001244 | $0.00001202 | -3.38% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 28.57% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.42x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
The algorithm's entry timing is optimized for early-trend participation on the 4h chart.
Time-of-day filtering may improve results: analyze when SHIB shows strongest Bollinger Bands response.
Shorter timeframes show more signals but lower win rates. 4h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for SHIB with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Best performance in trending SHIB markets.
- 4h resolution captures key reversals.
- Avoid during low-liquidity sessions.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us