RAY / USDT1h

RAY Stochastic RSI Strategy (1h) - Backtest Results

Price Action & Trades

RAY / 1h

Recent Trade History (Live Proof)

Entry DateJan 27, 14:00
Exit DateJan 28, 02:00
TypeLong
Entry Price$0.9700
Exit Price$0.9970
PnL+2.78%
Entry DateJan 25, 10:00
Exit DateJan 26, 14:00
TypeLong
Entry Price$1.0130
Exit Price$0.9610
PnL-5.13%
Entry DateJan 24, 18:00
Exit DateJan 25, 03:00
TypeLong
Entry Price$1.0010
Exit Price$1.0070
PnL+0.6%
Entry DateJan 23, 11:00
Exit DateJan 23, 19:00
TypeLong
Entry Price$1.0190
Exit Price$1.0130
PnL-0.59%
Entry DateJan 22, 17:00
Exit DateJan 23, 05:00
TypeLong
Entry Price$1.0230
Exit Price$1.0210
PnL-0.2%
Entry DateJan 20, 11:00
Exit DateJan 20, 23:00
TypeLong
Entry Price$1.0050
Exit Price$0.9650
PnL-3.98%
Entry DateJan 19, 05:00
Exit DateJan 20, 03:00
TypeLong
Entry Price$1.0400
Exit Price$1.0400
PnL0%
Entry DateJan 17, 14:00
Exit DateJan 18, 13:00
TypeLong
Entry Price$1.1490
Exit Price$1.1090
PnL-3.48%
Entry DateJan 16, 17:00
Exit DateJan 17, 04:00
TypeLong
Entry Price$1.1200
Exit Price$1.1420
PnL+1.96%
Entry DateJan 14, 09:00
Exit DateJan 16, 11:00
TypeLong
Entry Price$1.2350
Exit Price$1.1350
PnL-8.1%
Page 1 of 7

Equity Curve

$-397.07
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

Moderate win rate (42.86%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.

Risk-Reward Profile

Low profit factor (0.69) indicates potential parameter optimization is needed for RAY.

Signal Frequency

High signal frequency (63 trades) suits active traders seeking regular RAY engagement.

Optimization Insight

Consider testing Bollinger Band periods of 18-22 candles for potential RAY optimization.

Volatility Analysis

The algorithm capitalizes on RAY's characteristic volatility patterns on the 1h timeframe.

Position Sizing

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

Analysis based on 63 trades
Review Recommended

Performance Metrics

Win Rate
42.86%
Profit Factor
0.69
Total Trades
63
Data Period
Last 3 Months

About The Stochastic RSI Strategy

This Stochastic RSI algorithm for RAY is 63 RAY backtests: 43% accuracy. What's driving the profit factor? Perfect for intraday sessions, focusing on...

Backtest Methodology

Human bias is eliminated in our RAY testing. Each of the 63 trades on 1h candles followed pre-defined systematic rules with no discretionary overrides. The 42.86% success rate reflects pure algorithmic execution.

Key Takeaways

  • Position sizing: 1-2% per trade suggested.
  • Stop-loss levels align with RAY volatility.
  • Drawdown tolerance required for 42.86% win rate.

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