Lessons
20 tracks and 170 lessons. Each one has you read a little, then do something: run code, play a game, or answer a question. A quiz ends each track.
Foundations The math and the code
1 What is a quant
Not startedWhat the job is, the kinds of quants, and how firms use math to make decisions with money on the line.
2 Math for quants
Not startedThe handful of math ideas everything else leans on: functions, growth, logs, vectors and rates of change.
3 Probability
Not startedThe language every quant question is asked in. Learn to put a number on how likely something is and what it is worth.
4 Statistics
Not startedLearn what data can and cannot tell you: the bell curve, sampling, confidence, testing and regression.
5 Game theory
Not startedHow to choose when your result depends on what someone else chooses. You play each game before you learn its name.
6 Python
Not startedThe language most quant research is written in. Start from zero and finish by simulating ten thousand coin flips.
7 R
Not startedA language built for statistics. Summarize data, run a simulation and plot the result.
8 C
Not startedHow a computer actually runs your code, and why a few millionths of a second matter when you are trading.
Quant skills What the job is made of
9 Markets and trading
Not startedHow trading actually works: order books, market makers, going long and short, returns and arbitrage.
10 Bonds and interest rates
Not startedWhy a dollar today beats a dollar tomorrow, how bonds are priced, and why interest rates move every market.
11 Options and pricing
Not startedThe contracts quants are famous for pricing. Build payoffs in code, then price an option three different ways.
12 Portfolio theory
Not startedHow to combine investments: weights, the efficient frontier, beta, and what the market pays you for.
13 Risk and portfolios
Not startedStaying in the game matters more than any single win. Measure risk, spread it out, and size your bets.
14 Strategies and backtesting
Not startedTurn an idea into a trading rule in Python, test it on past prices, and learn how a backtest can fool you.
15 Time series
Not startedData that arrives in order has its own rules. Find trends, test for random walks, and trade mean reversion.
Going further Sharper tools, and getting hired
16 Algorithms and speed
Not startedWrite code that stays fast as the data grows: searching, sorting, hashing, recursion and a tiny order book.
17 Machine learning
Not startedTeach a program to find patterns, measure whether it really learned, and see why markets are a hard case.
18 Trading psychology
Not startedThe mistakes every human trader makes, why quants build rules to avoid them, and how to judge your own decisions.
19 Quant interview problems
Not startedThe puzzles trading firms really ask: mental math, dice, Monty Hall, and making a market on the spot.
20 Getting there
Not startedThe firms, the roles, what to study, what to build, how hiring works, and the rules every trader must follow.
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