Evidence-first quantitative research
Learn systematic trading through testable research tasks
Interactive learning paths for strategy design, data quality, backtesting, validation, risk, and systematic trading research.
Learning paths cover market foundations, signals, patterns, strategy design, risk, backtesting, and quantitative methods.
Lessons distinguish an observation from a testable rule and explain common failures such as lookahead bias, survivorship bias, overfitting, and unrealistic costs.
Each topic includes a practical outcome and an exercise that can be continued inside a research project.