PUMP 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 25, 16:00 | Jan 26, 16:00 | Long | $0.002469 | $0.002631 | +6.56% |
| Jan 22, 14:00 | Jan 24, 19:00 | Long | $0.002527 | $0.002695 | +6.65% |
| Jan 20, 13:00 | Jan 21, 14:00 | Long | $0.002521 | $0.002562 | +1.63% |
| Jan 15, 03:00 | Jan 19, 20:00 | Long | $0.002630 | $0.002607 | -0.87% |
| Jan 7, 14:00 | Jan 9, 11:00 | Long | $0.002335 | $0.002237 | -4.2% |
| Jan 6, 17:00 | Jan 6, 23:00 | Long | $0.002346 | $0.002651 | +13% |
| Jan 5, 04:00 | Jan 5, 18:00 | Long | $0.002261 | $0.002434 | +7.65% |
| Dec 29, 13:00 | Dec 30, 21:00 | Long | $0.001778 | $0.001824 | +2.59% |
| Dec 22, 19:00 | Dec 24, 15:00 | Long | $0.001914 | $0.001771 | -7.47% |
| Dec 14, 11:00 | Dec 22, 05:00 | Long | $0.002719 | $0.002018 | -25.78% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 54.55% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
At 0.92x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
At 22 trades, the algorithm filters noise while capturing significant PUMP moves.
Kelly Criterion suggests minimal position sizing for this edge.
The 1h timeframe captures optimal trade duration for PUMP's typical move completion.
The algorithm capitalizes on PUMP's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for PUMP with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for PUMP.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on PUMP may have higher slippage.
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