1000SATS 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 23, 20:00 | Jan 27, 20:00 | Long | $0.00001572 | $0.00001567 | -0.32% |
| Jan 17, 22:00 | Jan 23, 03:00 | Long | $0.00001914 | $0.00001652 | -13.69% |
| Jan 11, 18:00 | Jan 13, 02:00 | Long | $0.00001678 | $0.00001639 | -2.32% |
| Jan 7, 14:00 | Jan 9, 15:00 | Long | $0.00001753 | $0.00001732 | -1.2% |
| Jan 5, 06:00 | Jan 5, 20:00 | Long | $0.00001720 | $0.00001818 | +5.7% |
| Dec 28, 18:00 | Jan 1, 09:00 | Long | $0.00001556 | $0.00001548 | -0.51% |
| Dec 25, 23:00 | Dec 27, 07:00 | Long | $0.00001514 | $0.00001567 | +3.5% |
| Dec 21, 01:00 | Dec 24, 19:00 | Long | $0.00001522 | $0.00001520 | -0.13% |
| Dec 17, 07:00 | Dec 18, 11:00 | Long | $0.00001546 | $0.00001507 | -2.52% |
| Dec 14, 05:00 | Dec 16, 11:00 | Long | $0.00001641 | $0.00001590 | -3.11% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (30%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low PF (0.40) combined with this win rate makes the setup high-variance. Trade cautiously.
At 20 trades, the algorithm filters noise while capturing significant 1000SATS moves.
Order book analysis suggests 1000SATS has strong support/resistance levels aligning with Bollinger Bands triggers.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Volatility clustering in 1000SATS may cause consecutive signals—beware of correlation between trades.
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
- Strategy designed for 1h charts.
- Best paired with 1000SATS.
- Automated execution recommended.
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