VET / USDT1d

VET Stochastic RSI Strategy (1d) - Backtest Results

Price Action & Trades

VET / 1d

Recent Trade History (Live Proof)

Entry DateDec 19, 00:00
Exit DateJan 9, 00:00
TypeLong
Entry Price$0.0108
Exit Price$0.0117
PnL+8.16%
Entry DateNov 24, 00:00
Exit DateNov 30, 00:00
TypeLong
Entry Price$0.0139
Exit Price$0.0134
PnL-3.95%
Entry DateOct 13, 00:00
Exit DateNov 14, 00:00
TypeLong
Entry Price$0.0202
Exit Price$0.0156
PnL-22.78%
Entry DateSep 30, 00:00
Exit DateOct 5, 00:00
TypeLong
Entry Price$0.0219
Exit Price$0.0229
PnL+4.28%
Entry DateSep 8, 00:00
Exit DateSep 15, 00:00
TypeLong
Entry Price$0.0244
Exit Price$0.0241
PnL-0.94%
Entry DateAug 22, 00:00
Exit DateAug 26, 00:00
TypeLong
Entry Price$0.0253
Exit Price$0.0251
PnL-0.75%
Entry DateJul 27, 00:00
Exit DateAug 15, 00:00
TypeLong
Entry Price$0.0263
Exit Price$0.0243
PnL-7.6%
Entry DateJun 24, 00:00
Exit DateJul 6, 00:00
TypeLong
Entry Price$0.0214
Exit Price$0.0209
PnL-2.61%
Entry DateMay 22, 00:00
Exit DateJun 12, 00:00
TypeLong
Entry Price$0.0307
Exit Price$0.0234
PnL-23.61%
Entry DateMay 8, 00:00
Exit DateMay 13, 00:00
TypeLong
Entry Price$0.0287
Exit Price$0.0319
PnL+11.15%

Equity Curve

$-384.09
2025-05-012025-06-132025-07-262025-09-072025-10-202025-12-022026-01-27$0k$0.3k$0.6k$0.9k$1.2k

AI Deep AnalysisPowered by algorithmic insights

Performance Assessment

Low win rate (30%) is common for breakout strategies on volatile assets like VET. Focus on risk per trade.

Risk-Reward Profile

At 0.33x, consider wider stop-losses to improve average win size on VET.

Signal Frequency

The 10 trade count reflects balanced signal generation. Quality over quantity approach.

Trend Compatibility

The algorithm's entry timing is optimized for early-trend participation on the 1d chart.

Optimization Insight

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

Position Sizing

Kelly Criterion suggests minimal position sizing for this edge.

Analysis based on 10 trades
Review Recommended

Performance Metrics

Win Rate
30%
Profit Factor
0.33
Total Trades
10
Data Period
All History

About The Stochastic RSI Strategy

Performance analysis confirms the VET Stochastic RSI algorithm is VET swing trading delivers 0.33x returns. 10 1d backtests show avg win/loss ratios.

Backtest Methodology

Designed for practical deployment, this VET strategy was tested with real exchange constraints. Order book depth, 1d candle formation timing, and API latency are factored into the 10 simulated executions. The 30% accuracy reflects deployable performance.

Key Takeaways

  • Expect 3-5 consecutive losses at 30% accuracy.
  • Size positions to survive max drawdown periods.
  • Reduce size by 50% after 3 losing trades.

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