Resources
Adding Pages
How to add and modify pages on this site
Repo Conventions
Project Paradise contribution guidelines and code standards
GitHub Flow
Branch-based workflow for collaboration
GitHub Projects
Plan and track work with GitHub Projects
How to Read a Paper
Essential 2-page guide on reading academic papers efficiently
Rules of Machine Learning
Google's best practices for ML engineering
Buy-Side Quant Job Advice
Practical advice for breaking into buy-side quant roles
Breaking into Quant Trading
No-fluff guide to starting a quant trading career
Mental Math for Traders
Mental math techniques for trading interviews
Quant Game Room
Practice mental math for quant interviews
TraderIQ
Trading interview practice platform
80 in 8
Speed math practice for quant interviews
Kaggle Tricks from Grandmaster
Competition strategies from a Kaggle Grandmaster
How to Win Kaggle
Practical guide for winning data science competitions
Quant Research Repo
Open-source quantitative research examples
Options 101
Free options trading course by Akuna Capital
CS231n: Deep Learning
Stanford's deep learning for computer vision course
CS229: Machine Learning
Stanford's foundational machine learning course
BLIND-75 Solutions
Video solutions to the 75 essential LeetCode problems
Two Sigma: ML Regime Modeling
Machine learning methods for identifying market regimes
Permutation Testing (Video)
Video explanation of permutation-based significance testing
QuantStart
Beginner-friendly quant finance tutorials and articles
Quantopian Lectures
Archived lecture notebooks on quantitative topics
QuantEcon
Open-source economics and finance lectures
All of Statistics
Larry Wasserman - Comprehensive statistics reference (ISBN: 978-0387402727)
Python for Finance
Yves Hilpisch - Mastering data-driven finance (ISBN: 978-1492024330)
Hands-On Machine Learning
Aurelien Geron - Sklearn, Keras, TensorFlow (ISBN: 978-1098125974)
Advances in Financial Machine Learning
Marcos Lopez de Prado - Advanced quant ML techniques (ISBN: 978-1119482086)
A Practical Guide To Quantitative Finance Interviews
Xinfeng Zhou - The 'Green Book' for quant interviews (ISBN: 978-1438236667)
Heard on the Street
Timothy Falcon Crack - Wall Street interview questions (ISBN: 978-0994138699)
Short-Cut Math
Gerard W. Kelly - Mental math shortcuts (ISBN: 978-0486246116)
Essential Poker Math
Alton Hardin - Probability and expected value (ISBN: 978-1530927081)
MIT Poker Theory Course
MIT's poker theory and analytics course materials
Advances in Financial ML (Wiley)
Marcos Lopez de Prado's seminal work (official link)
Python for Finance (O'Reilly)
Yves Hilpisch's comprehensive Python finance guide
White Reality Check (2000)
Foundation for permutation testing in finance - Econometrica
Romano & Wolf Step-Down (2005)
Stepwise multiple testing as formalized data snooping
Harvey et al. Cross-Section (2016)
...and the Cross-Section of Expected Returns
Pseudo-Mathematics (2014)
Bailey et al. on financial charlatanism - AMS Notices
Vast.ai
Affordable GPU server rental for ML training
CCXT
Unified API for 100+ cryptocurrency exchanges
Yahoo Finance
Free delayed equity market data
Alpha Vantage
Multi-asset market data with free tier
Polygon.io
High-quality multi-asset market data (paid)
pytest
Python testing framework
mypy
Static type checker for Python
Books: ISBNs are provided for purchasing or library access. For academic/personal use, books may also be available on Anna's Archive ↗. Please respect copyright laws in your jurisdiction.