BTC Parabolic SAR Strategy (1d) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 2, 00:00 | Jan 19, 00:00 | Long | $89,740.01 | $93,141.95 | +3.79% |
| Dec 3, 00:00 | Dec 15, 00:00 | Long | $92,975.26 | $85,791.46 | -7.73% |
| Nov 24, 00:00 | Dec 1, 00:00 | Long | $89,115.66 | $85,518.06 | -4.04% |
| Oct 26, 00:00 | Nov 3, 00:00 | Long | $113,323.7 | $106,641.55 | -5.9% |
| Sep 29, 00:00 | Oct 10, 00:00 | Long | $114,258.29 | $114,289.66 | +0.03% |
| Sep 2, 00:00 | Sep 21, 00:00 | Long | $111,240.01 | $115,307.52 | +3.66% |
| Aug 7, 00:00 | Aug 15, 00:00 | Long | $117,472.01 | $117,342.05 | -0.11% |
| Jun 25, 00:00 | Jul 19, 00:00 | Long | $107,340.58 | $117,840 | +9.78% |
| Jun 8, 00:00 | Jun 18, 00:00 | Long | $105,734 | $104,886.78 | -0.8% |
| May 7, 00:00 | May 25, 00:00 | Long | $97,030.5 | $109,004.19 | +12.34% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 46.15% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
Exceptional capital efficiency (2.16 PF) makes this suitable for compound growth strategies.
At 13 trades, the algorithm filters noise while capturing significant BTC moves.
Consider adaptive parameters that adjust to BTC's current volatility regime.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Consider 1d for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for BTC with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on BTC.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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