FLOKI 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, 20:00 | Long | $0.00005265 | $0.00005325 | +1.14% |
| Dec 15, 16:00 | Dec 29, 00:00 | Long | $0.00004197 | $0.00004140 | -1.36% |
| Dec 1, 00:00 | Dec 8, 12:00 | Long | $0.00004327 | $0.00004929 | +13.91% |
| Nov 11, 20:00 | Nov 24, 16:00 | Long | $0.00005957 | $0.00004847 | -18.63% |
| Oct 30, 12:00 | Nov 7, 16:00 | Long | $0.00006603 | $0.00006561 | -0.64% |
| Oct 9, 12:00 | Oct 20, 04:00 | Long | $0.00009151 | $0.00006934 | -24.23% |
| Sep 22, 00:00 | Oct 1, 08:00 | Long | $0.00009052 | $0.00008417 | -7.02% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (28.57%) is common for breakout strategies on volatile assets like FLOKI. Focus on risk per trade.
Low PF (0.16) combined with this win rate makes the setup high-variance. Trade cautiously.
With only 7 trades, this is a patient, low-frequency strategy for FLOKI.
The 4h timeframe reduces overnight gap risk while capturing meaningful moves.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Time-of-day filtering may improve results: analyze when FLOKI shows strongest Bollinger Bands response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for FLOKI with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- 28.57% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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