#probability

Ten winning trades prove nothing. The hard question is how many would.

Statistical significance in trading decides whether a track record is skill or luck. Learn how many trades you need before a model’s edge means anything at all.

6/18/2026

Win rate alone tells you nothing. Risk/reward alone tells you nothing. Expectancy combines both into a single answer.

Trading expectancy is the average profit per trade once win rate and risk/reward are combined. Here's the formula, how to read it, and where it fits in.

5/12/2026

Correlation tells you two things move together. Mutual information asks whether knowing one actually tells you something useful about the other.

Mutual information measures whether a model's entry signals genuinely predict outcomes. Learn what it detects and how darwintIQ uses it to assess model quality.

4/30/2026

Winning more than you lose sounds like the right goal. In systematic trading, it rarely is

A 70% win rate sounds impressive — until you check the average loss. Learn why win rate alone misleads traders, and which metric combinations tell the real story about a strategy's edge.

4/1/2026

The Statistical Foundation of a Trading Edge

Learn what Expected Value means in quantitative trading and how darwintIQ uses it to identify trading models with stable statistical edge under changing market conditions.

3/2/2026

From Data and Statistics to Adaptive Trading Models

What is quantitative analysis in trading? A beginner-friendly guide to data-driven market analysis and how darwintIQ evaluates adaptive trading models.

2/25/2026