Free GitHub Repos for Quantitative Finance Learning
Low-confidence capture. Useful as a lead, not a recommendation.
#coding #finance #tech #quant #student"
TL;DR
A curated collection of free GitHub repositories that teach quantitative finance concepts including financial modeling, numerical methods, and algorithmic trading. The post promotes self-directed learning of quant finance through open-source educational resources. Quantitative finance education is typically expensive and inaccessible; these free GitHub repositories democratize learning of financial models, derivatives pricing, algorithmic trading, and numerical methods for students and self-learners.
What it actually is
- What: A curated collection of free GitHub repositories that teach quantitative finance concepts including financial modeling, numerical methods, and algorithmic trading. The post promotes self-directed learning of quant finance through open-source educational resources.
- Who built it / maintained by: Various open-source contributors; the post is curated by Instagram creator 'chrispathway' (Christian)
- Status: stable
- Why it matters: Quantitative finance education is typically expensive and inaccessible; these free GitHub repositories democratize learning of financial models, derivatives pricing, algorithmic trading, and numerical methods for students and self-learners.
- How it compares to alternatives:
- QuantLib
- Zipline
- Backtrader
- OpenBB Terminal
- PyAlgoTrade
- GitHub stars: 6,877 · License: AGPL-3.0 · Archived: no
Links
Kickstarter guide
Clone a quant finance repository such as cantaro86/Financial-Models-Numerical-Methods using 'git clone https://github.com/cantaro86/Financial-Models-Numerical-Methods'. Install dependencies via pip (numpy, scipy, matplotlib, jupyter). Open the Jupyter notebooks in order and work through topics like Black-Scholes, Monte Carlo simulation, and stochastic processes. Supplement with other free repos covering algorithmic trading and portfolio optimization.