kazelad/algo-trading-agent — explained in plain English
Analysis updated 2026-05-18
Survey existing open source algorithmic trading bots and frameworks before building or choosing one.
Compare projects by activity, contributor count, and license before depending on them in production.
Discover technical analysis libraries, indicators, and learning resources like books and courses.
Contribute a new project to the list by opening an issue or editing the underlying data file.
| kazelad/algo-trading-agent | agutinbaigo28/trading-backtest-kit | alinebm17/finance-api-tool | |
|---|---|---|---|
| Stars | 142 | 142 | 142 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 1/5 | 4/5 | 2/5 |
| Audience | developer | developer | data |
Figures from each repo's GitHub metadata at analysis time.
No installation needed, it is a browsable directory, not a runnable tool.
This repository is not a piece of software you install and run. It is a curated, ranked directory of open source projects related to algorithmic trading, the practice of using code to automatically decide when to buy or sell financial assets. It lists 109 projects across seven categories: bots and frameworks, libraries and APIs, technical analysis and indicators, books, YouTube channels, courses, and communities, together adding up to roughly 310 thousand combined GitHub stars. Each entry shows the project's name, a short description, its programming language, its license, and an automated quality score based on things like how active the project is, how many people contribute to it, and how many other projects depend on it. Small icons flag whether a project is new, inactive, or effectively abandoned, and whether its star count is trending up or down, so a reader can judge how safe it is to rely on before adopting it. Examples included in the bots and frameworks section are Freqtrade, an open source crypto trading bot, Hummingbot, a tool for building automated trading strategies, StockSharp, a broader algorithmic and quantitative trading platform, and QuantConnect's Lean engine. Anyone wanting to add a project can open an issue, submit a pull request, or edit the list's underlying data file directly. This repository is best suited for developers, quantitative analysts, or traders who want to survey the landscape of existing algorithmic trading tools before building or choosing one themselves, rather than for someone looking for a single ready-to-use application. It is part of a larger family of similar 'best of' lists covering other topics. The full README is longer than what was shown.
A curated, ranked list of 109 open source algorithmic trading projects, covering bots, frameworks, libraries, indicators, books, courses, and communities.
Mainly TypeScript. The stack also includes Markdown, Python, C#.
License terms for this list itself are not stated in the README, individual listed projects carry their own separate licenses.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.