Awesome Open Source
Awesome Open Source


Courses, Articles and many more which can help beginners or professionals.

Finance is mostly details, and just having the ability to systematize and categorize and focus on details can be a huge advantage. by Micheal Burry

This resources are specifically meant for STEM grads. Most of the courses are Math or Coding heavy. Take it at your own risk.

Courses and Lectures

Note: Courses listed below will NOT show any Coursera or Youtube Fams, because those courses are open for all (Anyone can take it, Medical doctor or lawyer can, if needed.) I don't want to (or want you to) spend time in these courses because these courses gives you flavour of subject and not deep understanding. Being an engineer, I want to (wish the same for you) use my already learnt mathematics skills to advance further in topic and dive deep, to do some meaningful work or research.

If you had Udemy courses and say "I know ML", I will lash you with a wet noodle (No offense to udemy).


  • Numerical Linear Algebra for Coders by
  • Introduction to Probability by MIT OCW


Quant Finance

  • Quantopian Lectures for Python and Statistics Lectures
  • Global Financial Crisis (Finance only) by Timothy F. Geithner (U.S. Secretary of the Treasury during crisis) Very good course for beginners in Finance or interested in Crisis analysis. Coursera course
  • Introduction to Market Microstructures by Paul Besson (Paul heads Euronext's quantitative research department) Lecture Page



  • (Book) Python for Finance: Analyze Big Financial Data by Yves Hilpisch (Citadel Recommended)


  • (Book) Accelerated C++ by Andrew Koenig, Barbara E. Moo (If you have good background in coding and in OOP like python, Java programmers)
  • (Book) Effective Modern C++ by Scott Meyers



  • Statistics (4th edition) by David Freedman, Robert Pisani, Roger Purves (Citadel Recommended)
  • How to Lie with Statistics by Darrell Huff (Interesting takes on how you can manipulate human perception with Graph)
  • Thinking Strategically by Avinash Dixit and Barry Nalebuff (Game theory book) (Citadel Recommended)
  • Analysis of Financial Time Series by Ruey S. Tsay (Good for Time Series Analysis)


  • Deep Learning by Ian Goodfellow et al.
  • Reinforcement Learning An Introduction by Sutton and Barto

Quant Finance

  • Options, Futures, and other Derivatives by John C Hull (Citadel Recommended)
    • You will first need to have sound understanding of Financial Markets (Not expertise, but understanding is necessary.)
  • Advances in Financial Machine Learning by Marcos Lopez de Prado
  • Financial Calculus: An Introduction to Derivative Pricing by Martin Baxter (He ran Quant for Lehman and Nomura)


  • The Gambler Who Cracked the Horse-Racing Code in Bloomberg Businessweek here
  • Learning and Understanding in the Mirror of Mathematics, Ch.1,2 by Misha Gromov available here
  • High-Frequency Cross-Market Trading: Model Free measurements and Applications (Good view on US HFT Market and Networks) pdf of presentation


  • Beating the bookies with their own numbers - and how the online sports betting market is rigged Paper
  • Machine Learning for Trading by Gordon Ritter Paper (Talks about implementation of RL into Finance)
  • Deep Hedging by Hans Buehler et al. (JP Morgan Quants from London Office) Paper
    • This paper has been already implemented by JPM Article
    • Hedging Vanilla OTC Products using RL
  • A Stochastic Model for Order Book Dynamics by Rama Cont et al. Paper
  • Price dynamics in a Markovian limit order market by Rama Cont et al. Paper


Interview Prep

  • Probability and Market by Jane Street pdf

PS: I am weak at grammar and someone told there are too many mistakes here, instead of fixing it..! It's open source for a reason...

Get A Weekly Email With Trending Projects For These Topics
No Spam. Unsubscribe easily at any time.
machine-learning (3,443
artificial-intelligence (596
ai (447
algorithms (431
linear-algebra (100
algorithmic-trading (82
quantitative-finance (72
quant (66
artificial-neural-networks (56
probability (27
stock-price-prediction (24

Find Open Source By Browsing 7,000 Topics Across 59 Categories