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Find the timeframe your strategy is actually built for.

Compare Pine Script strategy logic and TradingView backtest results across multiple timeframes to identify where the strategy has the strongest signal quality, statistical reliability, and execution feasibility.

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This tool does not provide financial advice and does not guarantee future performance. It evaluates strategy suitability signals based on user-provided logic and backtest metrics.

Why timeframe selection matters

Signal quality degrades across timeframes

Indicators calibrated for one frequency produce noise or whipsaws at another. A strategy optimised for 4H may underperform on 15m due to structural differences in price action.

Execution costs change dramatically

Shorter timeframes generate more trades, compounding commission and slippage costs. A strategy that looks profitable on paper may erode on 1m or 5m without careful execution analysis.

Statistical reliability requires enough trades

A backtest with 12 trades is not statistically meaningful regardless of how high the win rate looks. Timeframe selection affects sample size over the same historical period.

How the Backtest Score is calculated

30%
Risk-adjusted return
Net profit, profit factor, drawdown, avg trade, Sharpe/Sortino
25%
Statistical significance
Closed trade count — minimum 30+ for acceptable confidence
20%
Robustness
Sensitivity to parameter changes, out-of-sample validation
15%
Regime consistency
Performance across different market conditions and regimes
10%
Execution feasibility
Commission/slippage sensitivity relative to average trade size

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Free utilities for TradingView traders who want to validate, convert, and pressure-test strategies before live deployment.

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