WIF / USDT1d

WIF Stochastic RSI Strategy (1d) - Backtest Results

Price Action & Trades

WIF / 1d

Recent Trade History (Live Proof)

Entry DateDec 20, 00:00
Exit DateJan 9, 00:00
TypeLong
Entry Price$0.3480
Exit Price$0.3840
PnL+10.34%
Entry DateNov 24, 00:00
Exit DateDec 1, 00:00
TypeLong
Entry Price$0.3760
Exit Price$0.3460
PnL-7.98%
Entry DateNov 6, 00:00
Exit DateNov 12, 00:00
TypeLong
Entry Price$0.4250
Exit Price$0.4480
PnL+5.41%
Entry DateOct 13, 00:00
Exit DateOct 29, 00:00
TypeLong
Entry Price$0.6050
Exit Price$0.5380
PnL-11.07%

Equity Curve

$-55.76
2025-09-242025-10-142025-11-032025-11-232025-12-132026-01-022026-01-27$0k$0.3k$0.6k$0.9k$1.2k

AI Deep AnalysisPowered by algorithmic insights

Performance Assessment

Moderate win rate (50%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.

Risk-Reward Profile

Low PF (0.61) combined with this win rate makes the setup high-variance. Trade cautiously.

Signal Frequency

Low activity (4 signals) indicates the Stochastic RSI waits for high-conviction setups only.

Position Sizing

Anti-martingale approach recommended: increase size after wins, reduce after losses.

Volatility Analysis

Volatility clustering in WIF may cause consecutive signals—beware of correlation between trades.

Trend Compatibility

Best results occur when WIF's 1d trend aligns with higher timeframe momentum.

Analysis based on 4 trades
Moderate Confidence

Performance Metrics

Win Rate
50%
Profit Factor
0.61
Total Trades
4
Data Period
All History

About The Stochastic RSI Strategy

WIF Stochastic RSI strategy on 1d charts. Early backtest data available for review.

Backtest Methodology

Beyond simple profit/loss, our WIF analysis incorporates risk metrics. Each of the 4 trades on the 1d chart was evaluated for maximum adverse excursion and drawdown potential. The 50% success ratio accounts for position sizing and capital preservation rules.

Key Takeaways

  • Stochastic RSI generates clear entry/exit signals.
  • No parameter optimization needed for WIF.
  • Robust across multiple market regimes.

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