Guided reading paths
Read in a useful order, fill prerequisite gaps, and continue with connected lessons on SelfMadeQuant.
Quant Roadmap 2027
Choose a quant role, build the mathematical core, and turn your first research question into an auditable Python project.
ML for quant
Learn statistical learning, establish simple baselines, and evaluate financial predictions without leaking the future.
Math for quant
Connect probability, linear algebra and stochastic calculus to the quantities a quant model must estimate or price.
Start here: quant finance foundations
Find your direction, refresh probability, then connect the mathematics to a financial model.
Probability for quant interviews
Move from conditioning and expected values to timed problems with a defensible solution.
From martingales to option pricing
Start in discrete time, move to Brownian motion, then read the original pricing argument and simulate it.
From trading ideas to honest backtests
Choose a reproducible strategy, specify the trading rule, and test what remains after costs and estimation uncertainty.
Market making and execution
Learn the trading state and execution trade-off before evaluating reinforcement-learning market makers.
Portfolio construction and risk
Connect diversification, common risk factors, investor views, and the properties of a risk measure.