VET / USDT1d

VET RSI Strategy (1d) - Backtest Results

Price Action & Trades

VET / 1d

Recent Trade History (Live Proof)

Entry DateOct 11, 00:00
Exit DateJan 4, 00:00
TypeLong
Entry Price$0.0170
Exit Price$0.0120
PnL-29.09%
Entry DateAug 1, 00:00
Exit DateSep 18, 00:00
TypeLong
Entry Price$0.0226
Exit Price$0.0261
PnL+15.11%
Entry DateJun 1, 00:00
Exit DateJul 15, 00:00
TypeLong
Entry Price$0.0243
Exit Price$0.0252
PnL+3.62%
Entry DateApr 6, 00:00
Exit DateApr 22, 00:00
TypeLong
Entry Price$0.0197
Exit Price$0.0255
PnL+29.09%

Equity Curve

+$98.96
2025-04-112025-05-282025-07-142025-08-302025-10-152025-11-292026-01-27$0k$0.5k$1k$1.5k$2k

AI Deep AnalysisPowered by algorithmic insights

Performance Assessment

The algorithm's 75% hit rate on VET suggests strong predictive capability for the current market structure.

Risk-Reward Profile

Exceptional capital efficiency (2.03 PF) makes this suitable for compound growth strategies.

Signal Frequency

With only 4 trades, this is a patient, low-frequency strategy for VET.

Market Context

Funding rates and open interest can validate RSI signals for VET derivatives traders.

Timeframe Analysis

Consider 1d for entries but monitor daily charts for overall trend context.

Volatility Analysis

Historical analysis suggests reducing position size by 50% during VIX spikes above 30.

Analysis based on 4 trades
High Confidence

Performance Metrics

Win Rate
75%
Profit Factor
2.03
Total Trades
4
Data Period
All History

See Live Signal

Real-time technical analysis

View the current RSI signal for VET with live market data, AI analysis, and trading recommendations.

VET1dLIVE

About The RSI Strategy

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

Backtest Methodology

Human bias is eliminated in our VET testing. Each of the 4 trades on 1d candles followed pre-defined systematic rules with no discretionary overrides. The 75% success rate reflects pure algorithmic execution.

Key Takeaways

  • Expect 3-5 consecutive losses at 75% accuracy.
  • Size positions to survive max drawdown periods.
  • Reduce size by 50% after 3 losing trades.

Was this analysis helpful?

Your feedback helps us improve our backtest reports and provide better insights.

Have specific suggestions? Contact us