Concept & Fundamentals
Quantitative trading is built on a set of core concepts that define how models behave and how markets evolve. These articles explain foundational ideas such as regime change, backtesting limitations, and overfitting — essential knowledge for building and evaluating trading systems.
Correlation tells you about linear relationships. Mutual information tells you about all of them.
Mutual information measures statistical dependence between return distributions, capturing non-linear patterns correlation misses. Learn how darwintIQ uses it.
4/22/2026
Average return is only half the story. Standard deviation tells you whether you can trust the pattern to repeat.
Standard deviation trading measures how consistently a model produces returns. Learn what it means, how it relates to Sharpe Ratio, and how darwintIQ uses it.
4/20/2026
A 3:1 ratio sounds appealing. Whether you ever achieve it depends on everything else.
Risk/reward ratio compares potential profit to potential loss on a trade. Learn what it measures, why it doesn't tell the full story, and how darwintIQ uses it alongside other metrics.
4/13/2026
Winning more than you lose sounds like the right goal. In systematic trading, it rarely is
Win rate tells you how often a trading model wins, but not whether it has a positive edge. Learn why Expected Value and Risk/Reward matter far more, and how darwintIQ evaluates models beyond win rate.
4/1/2026
How Statistical Divergence Reveals Model Instability
What is Jensen–Shannon Divergence in quantitative trading? Learn how darwintIQ uses this statistical metric to detect behavioural drift and evaluate trading model stability.
3/4/2026
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