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Learn Quantitative Finance and Trading. FAST. Quant Science has 3 repositories available. Follow their code on GitHub.

finance awesome trading-bot algotrading quant awesome-list trading-strategies trading-algorithms quantitative-finance technical-analysis stock-data algorithmic-trading-engine financial-data algorithmic-trading-library yahoo-finance quantitative-trading google-finance finance-api financial-instruments arbitrage-bot ... AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 · finance data-science data currency academic stock economics quant data-analysis bond option datasets futures financial-data fundamental asset-pricing economic-data finance-api akshare

GitHub

github.com › quant-science › sunday-quant-scientist

GitHub - quant-science/sunday-quant-scientist: A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing · GitHub

A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing - quant-science/sunday-quant-scientist

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GitHub

github.com › orgs › quant-science › repositories

quant-science repositories · GitHub

Learn Quantitative Finance and Trading. FAST. Quant Science has 3 repositories available. Follow their code on GitHub.

GitHub

github.com › wilsonfreitas › awesome-quant

GitHub - wilsonfreitas/awesome-quant: A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance) · GitHub

February 24, 2026 - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance). ... scipy - Python - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.

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GitHub

github.com › cybergeekgyan › Quant-Developers-Resources

GitHub - cybergeekgyan/Quant-Developers-Resources: Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds · GitHub

Quant Analyst Quant Researcher Quant Trader Quant Developer Algorithmic Trader Quant Strategist Quant Risk Analyst Quant Modeler Fixed Income Desk Quant Quant Finance Analyst Quantitative Engineering Quant Consultant Interest Rate Derivative Quant Treasury Quantitative Analyst Risk Analyst Market Risk Quant Risk Manager Financial Engineer Credit Risk Analyst Market Risk Analyst Model Risk Analyst Model Validation Analyst

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GitHub

github.com › pi-2r › Quant-Science › blob › master › README.md

Quant-Science/README.md at master · pi-2r/Quant-Science

This repository contains a quantitative analysis environment setup for data science and machine learning projects. The project includes configuration files for creating a consistent development environment and running Jupyter Lab.

Author pi-2r

GitHub

github.com › topics › quantitative-analysis

Build software better, together

A package for quantitative research in scientometrics and bibliometrics. science journal citation citations scopus scientific manuscript scientometrics coupling co-occurence citation-network scholars quantitative-analysis correspondence-analysis ...

GitHub

github.com › orgs › quant-science › packages

Packages · Quant Science · GitHub

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GitHub

github.com › goldmansachs › gs-quant

GitHub - goldmansachs/gs-quant: Python toolkit for quantitative finance · GitHub

February 21, 2026 - Python toolkit for quantitative finance. Contribute to goldmansachs/gs-quant development by creating an account on GitHub.

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Threads

threads.com › @quantscience_ › post › DND1K0Atq2k › heres-the-linkhttpsgithubcomquant-sciencesunday-quant-scientist

Here's the link: https://github.com/quant-science/sunday-quant-scientist

August 7, 2025 - GitHub - quant-science/sunday-quant-scientist: A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

GitHub

github.com › pi-2r › Quant-Science

GitHub - pi-2r/Quant-Science: Python Quant Stack

Python Quant Stack. Contribute to pi-2r/Quant-Science development by creating an account on GitHub.

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Languages Jupyter Notebook 99.2% | Jupyter Notebook 99.2%

Medium

medium.com › coding-nexus › 18-free-python-github-repos-every-quant-algo-trader-should-know-e496f5a1e264

18 Free Python GitHub Repos Every Quant & Algo Trader Should Know | by CodeBun | Coding Nexus | Medium

January 3, 2026 - In this article, I’ll walk you ... Python GitHub repositories for quant finance and algo trading, and explain what each one is used for. ... Goldman Sachs maintains 70+ open-source repositories used internally by quants, engineers, and researchers. You’re learning industry-grade tools, not hobby projects. ... Coding Nexus is a community of developers, tech enthusiasts, and aspiring coders. Whether you’re exploring the depths of Python, diving into data science, mastering ...

GitHub

github.com › topics › quantitative-finance

quantitative-finance · GitHub Topics

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions.

Threads

threads.com › @quantscience_

Quant Science (@quantscience_) • Threads, Say more

quantscience_ 2d · Get it here: github.com/codin… · 1 · 1 · quantscience_ 2d · 🚨Want to learn Algorithmic Trading Strategies (that actually work)? On April 30th, we are hosting a free workshop to help you get started with algorithmic trading with Python.

reddit.com › r/quant › github project recommendations

r/quant on Reddit: GitHub Project Recommendations

November 24, 2024 -

I'm learning qfinance in university and would like any recommendations or best practices to reallly break into the industry. Please note that I'm a beginner, pls do not roast me on my lack of knowledge on certain subjects. Only positive ans supportive comments please.

What are some github projects you would recommend for beginners to take up? Honestly watching videos related to data science/ quant finance on using libraries like numpy, pandas, matplotlib is so boring and I really need to apply it on something for it to stick in.

For interviews, what type of leetcode questions do I have to prep on?

What books do you recommend for me to read on for some self-study?

What did you do early on, study plan, projects you did, etc to succeed?