2026 Goal — Quantitative Finance

Learning quant
finance from zero.

Self-teaching the mathematics, statistics, coding, and finance needed to become a quantitative trader — from first principles, in public.

5
Subjects
LV I
Current level
9
Months remaining
Mar '26
Started
📖 Study Guide ⚡ Projects ✍️ Blog ⌨️ GitHub
Study subjectsView all →
£
Finance
Valuation, pricing, derivatives, options, and quantitative strategy.
LV I · 7 topics completeStudy →
∑
Mathematics
Calculus, linear algebra, differential equations, and stochastic calculus.
LV I · 6 topics completeStudy →
P(x)
Probability & Statistics
Distributions, Bayes, stochastic processes, and martingales.
LV I · 7 topics completeStudy →
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Computer Science
Python, algorithms, numerical methods, and quant infrastructure.
LV I · 6 topics completeStudy →
f(x)
Machine Learning
Statistical learning, supervised models, and quantitative alpha modelling.
LV I · 6 topics completeStudy →

Built in public — from zero to quant.

Every topic here is a topic studied and understood. These notes grow as the journey progresses — from LV I foundations to LV V advanced strategy.

View on GitHub →