Confidence Score

The Confidence Score (0–100) measures whether your strategy's results are statistically meaningful or possibly due to luck. A strategy might look profitable, but with too few trades or too much variation, you can't trust the results.

Warning

Minimum trade requirement: The Confidence Score requires a minimum number of trades. Below this threshold, the score is automatically set to 0. This is the most common reason for a low CSI.

How It Works

The Confidence Score evaluates multiple weighted metrics that capture different dimensions of statistical reliability. Each metric is normalized to a 0–100 scale and combined into the final score.

The top contributing factors include:

  • SQN (System Quality Number) — Measures overall system quality based on R-multiples. Higher SQN means more consistent positive expectancy.
  • Statistical Significance — How confident we are that the strategy's edge is real and not due to random chance.
  • Sample Size — Whether the strategy has enough trades for reliable statistical analysis. More trades = more trustworthy results.

What Makes a Good Confidence Score

Score RangeWhat It Means
80–100Highly reliable — strong statistical evidence the edge is real
60–79Good confidence — results are likely meaningful with minor uncertainty
40–59Moderate confidence — more trades or consistency needed
0–39Low confidence — results may be due to luck or insufficient data

How to Improve

  • Low SQN? Improve R-expectancy (better risk/reward ratio per trade)
  • Low Z-Score? Need more trades or more consistent P&L per trade
  • Low Sample Size? Wait for more trades before evaluating — or run Monte Carlo simulation to estimate reliability with your current sample size
  • Low Stability? Strategy may be regime-dependent — works in some conditions but not others

For context on why low confidence is the most common reason strategies fail live, see Why Strategies Fail — Insufficient Sample Size.

Tip

Low Confidence Score is the most common reason for a low CSI — and the easiest to misread. More trades fix it. See SQN and sample size explained.

Tip

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