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ai-agent

Supercharge Quant Trading with awesome-quant

Get top quant libraries and resources for algorithmic trading. For founders in quantitative finance.
27,389 stars3,646 forksHTMLQuality 9/10Updated 7/5/2026100% free ยท open source
What it does

Awesome-quant provides a curated list of top quant libraries and resources for algorithmic trading, helping founders in quantitative finance find the best tools for their needs.

Install / run
Since awesome-quant is a GitHub repository and not an executable tool, the first step is to visit the repository at https://github.com/wilsonfreitas/awesome-quant and explore its contents.
When to use it
  • โ€ขYou're building a trading platform and need to research libraries for backtesting and strategy optimization
  • โ€ขYou're looking for resources to learn about quantitative finance and algorithmic trading
  • โ€ขYou want to stay up-to-date with the latest developments in the quant finance community
Quick start
  1. 1Visit the repository and navigate to the README.md file to understand the structure and content of the curated list
  2. 2Explore the sections of the README, such as 'Libraries' and 'Resources', to find relevant tools and information
  3. 3Click on the links provided in the README to visit the websites of libraries and resources that interest you
  4. 4Use the repository's issues and pull requests sections to engage with the community, ask questions, and contribute to the list
  5. 5Bookmark the repository to keep track of updates and new additions to the list
Ready-to-paste prompt
Visit https://github.com/wilsonfreitas/awesome-quant#libraries and explore the list of libraries for backtesting and strategy optimization, such as Backtrader and Zipline.
Heads up: The repository is a static list and does not provide executable code or a direct install command, so users should be aware that they need to explore the links and resources provided to find and install the tools they need.
Saves to your device

Topics

algorithmic-trading-engine
algorithmic-trading-library
algotrading
arbitrage-bot
awesome
awesome-list
finance
finance-api
financial-data
financial-instruments
google-finance
quant
quantitative-finance
quantitative-trading
stock-data
technical-analysis
trading-algorithms
trading-bot
trading-strategies
yahoo-finance
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

16
top-level files
6
folders
5.9M
repo size
โ€”
license
Key files
AGENTS.md
README.md
File tree
.agents/
.claude/
.github/
docs/
scripts/
site/
.gitignore
.nojekyll
AGENTS.md
CLAUDE.md
CONTRIBUTING.md
cran.csv
cranscrape.py
legacy.txt
parse.py
pyproject.toml
quants.md
README.md
recommendation.ipynb
styles.css
topic.py
uv.lock
Quick Actions
Details
Creator
wilsonfreitas
Language
HTML
Category
ai-agent
Published
9/30/2015

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