QTUM / USDT1h

QTUM Parabolic SAR Strategy (1h) - Backtest Results

Price Action & Trades

QTUM / 1h

Recent Trade History (Live Proof)

Entry DateJan 27, 20:00
Exit DateJan 28, 04:00
TypeLong
Entry Price$1.2750
Exit Price$1.2490
PnL-2.04%
Entry DateJan 26, 22:00
Exit DateJan 27, 05:00
TypeLong
Entry Price$1.2660
Exit Price$1.2750
PnL+0.71%
Entry DateJan 26, 01:00
Exit DateJan 26, 20:00
TypeLong
Entry Price$1.2410
Exit Price$1.2530
PnL+0.97%
Entry DateJan 23, 17:00
Exit DateJan 24, 16:00
TypeLong
Entry Price$1.2990
Exit Price$1.2780
PnL-1.62%
Entry DateJan 23, 00:00
Exit DateJan 23, 05:00
TypeLong
Entry Price$1.2960
Exit Price$1.2840
PnL-0.93%
Entry DateJan 21, 20:00
Exit DateJan 22, 11:00
TypeLong
Entry Price$1.3300
Exit Price$1.3070
PnL-1.73%
Entry DateJan 21, 01:00
Exit DateJan 21, 08:00
TypeLong
Entry Price$1.3320
Exit Price$1.3260
PnL-0.45%
Entry DateJan 19, 16:00
Exit DateJan 20, 08:00
TypeLong
Entry Price$1.3670
Exit Price$1.3450
PnL-1.61%
Entry DateJan 18, 16:00
Exit DateJan 18, 23:00
TypeLong
Entry Price$1.4360
Exit Price$1.4200
PnL-1.11%
Entry DateJan 17, 13:00
Exit DateJan 17, 22:00
TypeLong
Entry Price$1.5010
Exit Price$1.4830
PnL-1.2%
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Equity Curve

$-264.36
2025-11-112025-11-232025-12-052025-12-182025-12-302026-01-122026-01-28$0k$0.3k$0.6k$0.9k$1.2k

AI Deep AnalysisPowered by algorithmic insights

Performance Assessment

The 33.33% accuracy warns of extended losing streaks. Psychological preparation is essential for this QTUM setup.

Risk-Reward Profile

Low PF (0.79) combined with this win rate makes the setup high-variance. Trade cautiously.

Signal Frequency

The 84 trade count provides excellent statistical significance for performance evaluation.

Optimization Insight

Walk-forward optimization suggests these parameters remained stable over previous quarters.

Position Sizing

Kelly Criterion suggests minimal position sizing for this edge.

Timeframe Analysis

The 1h timeframe reduces overnight gap risk while capturing meaningful moves.

Analysis based on 84 trades
Review Recommended

Performance Metrics

Win Rate
33.33%
Profit Factor
0.79
Total Trades
84
Data Period
Last 3 Months

See Live Signal

Real-time technical analysis

View the current Parabolic SAR signal for QTUM with live market data, AI analysis, and trading recommendations.

QTUM1hLIVE

About The Parabolic SAR Strategy

The QTUM Parabolic SAR setup is QTUM swing trading delivers 0.79x returns. 84 1h backtests show avg win/loss ratios.

Backtest Methodology

Human bias is eliminated in our QTUM testing. Each of the 84 trades on 1h candles followed pre-defined systematic rules with no discretionary overrides. The 33.33% success rate reflects pure algorithmic execution.

Key Takeaways

  • Clear rules-based system for QTUM.
  • Parabolic SAR is beginner-friendly indicator.
  • 1h gives time to analyze before action.

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