Knowledge Graph

Curated learning paths for algorithmic mastery

Quant Foundations

Harvard Stat 110 (Blitzstein)

ProbabilityBayesian Thinking

The strongest free probability sequence for serious quant prep. Direct mapping to prior and posterior reasoning used in interview probability rounds.

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MIT 18.S096 Finance Math

Stochastic ProcessesOCW

Free MIT OCW material focused on math with finance applications. Strong coverage for stochastic-process thinking tested in quant interviews.

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Shreve Vol 1 (Stochastic Calculus for Finance I)

Stochastic CalculusCore Text

Canonical text for stochastic calculus foundations. A direct pointer belongs in every serious quant resource stack.

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Trading and Exchanges (Larry Harris)

Market MicrostructureTrading Systems

Foundational market-microstructure reference for understanding real electronic markets and how HFT-oriented firms operate.

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Gilbert Strang Linear Algebra (MIT OCW)

Linear AlgebraMIT OCW

MIT OCW linear algebra sequence. Free and essential for optimization, statistics, and nearly every quantitative domain.

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A Practical Guide to Quantitative Finance Interviews (Xinfeng Zhou)

Interview PrepProblem Solving

The Green Book. Covers probability puzzles, brain teasers, mental math, and stochastic processes in interview format. The closest direct map to what Jane Street, Optiver, and IMC first-round screens test.

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Concrete Mathematics (Graham, Knuth, Patashnik)

CombinatoricsNumber Theory

The rigorous combinatorics and discrete mathematics reference. Covers summations, recurrences, generating functions, and number theory with proof-level depth aligned to PRIOR-style structures.

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Hull's Options, Futures and Other Derivatives

DerivativesPricing

The standard derivatives pricing reference across academia and industry. Covers Greeks, Black-Scholes, interest-rate models, and risk-neutral pricing as the bridge from math tools to real instruments.

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Interview Prep

Heard on the Street

Interview PrepQuant Questions

Core quantitative interview question bank. Keep this separate from the Green Book: different style, purpose, and interview signal.

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Crack the Coding Interview (Green Book)

Interview PrepPuzzles

Separate from Heard on the Street. Useful for puzzle speed, mental math structure, and probability-style interview drills.

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Circuit Prep

AMS Derive Syllabus

Circuit PrepAMS Derive

Official AMS Derive preparation track and syllabus. Use this as the primary circuit roadmap for first-principles and quant-style problem preparation.

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Practice Arenas

Codeforces

ContestsRating

The global standard for competitive programming. Div.1/2/3 rated contests and a massive archive spanning difficulty 800–3500.

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Project Euler

MathNumber Theory

Number-theoretic and combinatorial problems requiring deep mathematical insight. Essential for olympiad intuition and quant reasoning.

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AtCoder

MathQuality

Premium Japanese contest platform with mathematically rigorous problems. AGC rounds are prized by top competitive programmers and quant researchers.

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CSES Problem Set

ClassicEssentials

The canonical 300-problem curriculum. Best single structured path from beginner to advanced competitive programming.

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Knowledge Base

CP-Algorithms

WikiReference

The definitive algorithmic reference. Rigorous proofs and clean implementations from number theory to advanced graph algorithms.

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Art of Problem Solving

OlympiadCurriculum

Gold standard for math olympiad prep. AMC → AIME → USAMO/IMO pathway with deep problem archives and an expert community.

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Quant Interview Prep

QuantInterviews

A broad starting collection for interview prep. Use dedicated cards in the Interview Prep cluster for Heard on the Street and the Green Book.

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