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Supercharge Quant Trading with awesome-quant

Name: Supercharge Quant Trading with awesome-quant
Author: wilsonfreitas

Get top quant libraries and resources for algorithmic trading. For founders in quantitative finance.

29,214 stars3,907 forksHTMLHealth Score 9/10Updated 8/27/2026100% free · 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

•You're building a trading platform and need to research libraries for backtesting and strategy optimization
•You're looking for resources to learn about quantitative finance and algorithmic trading
•You want to stay up-to-date with the latest developments in the quant finance community

Quick start

1Visit the repository and navigate to the README.md file to understand the structure and content of the curated list
2Explore the sections of the README, such as 'Libraries' and 'Resources', to find relevant tools and information
3Click on the links provided in the README to visit the websites of libraries and resources that interest you
4Use the repository's issues and pull requests sections to engage with the community, ask questions, and contribute to the list
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

How Supercharge Quant Trading with awesome-quant works

Codeflow

Free to inspect

Supercharge Quant Trading with awesome-quant is a small HTML project (~2.8k lines across 13 code files, plus 3 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, no license file, has a test suite.

Size

Small codebase

~2.8k lines · 13 code files · 23 min skim

Setup

Install as a skill / plugin

Add it to Claude Code (or your AI tool) with one command — 6 skills inside. Nothing to run yourself.

Runs on

Inside your AI tool

Helper scripts use Python