1000SATS 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 |
|---|---|---|---|---|---|
| Jan 8, 08:00 | Jan 13, 16:00 | Long | $0.00001671 | $0.00002052 | +22.8% |
| Dec 30, 00:00 | Jan 1, 16:00 | Long | $0.00001505 | $0.00001611 | +7.04% |
| Nov 29, 16:00 | Dec 25, 04:00 | Long | $0.00001729 | $0.00001544 | -10.7% |
| Nov 11, 20:00 | Nov 27, 16:00 | Long | $0.00002150 | $0.00001851 | -13.91% |
| Oct 28, 20:00 | Nov 7, 04:00 | Long | $0.00002319 | $0.00002153 | -7.16% |
| Oct 22, 20:00 | Oct 26, 08:00 | Long | $0.00002228 | $0.00002476 | +11.13% |
| Oct 7, 12:00 | Oct 21, 12:00 | Long | $0.00003779 | $0.00002517 | -33.4% |
| Sep 15, 16:00 | Sep 25, 04:00 | Long | $0.00003856 | $0.00004038 | +4.72% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (50%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
At 0.48x, consider wider stop-losses to improve average win size on 1000SATS.
The small sample (8 trades) means results should be interpreted with caution.
Kelly Criterion suggests minimal position sizing for this edge.
Consider testing Bollinger Band periods of 18-22 candles for potential 1000SATS optimization.
Trend identification is built-in: Bollinger Bands only triggers when momentum confirms 1000SATS direction.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for 1000SATS with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for 1000SATS.
- US/EU overlap: best liquidity on 4h.
- Weekend signals on 1000SATS may have higher slippage.
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