GitHub topic

investment GitHub repositories

Explore 8 tracked GitHub repositories tagged investment. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 149 stars since the previous daily snapshot.

Tracked repositories: 8
Total stars: 130,789
Stars gained · 7 days: +1,203
Stars gained · 30 days: +3,438

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Star activity for investment repositories on this page
Repository	Total stars	Today	7 days	30 days
stefan-jansen/machine-learning-for-trading	21.6K	+47	+127	+523
Fincept-Corporation/FinceptTerminal	33.2K	+44	+393	+1,177
microsoft/qlib	49.8K	+28	+202	+793
ginlix-ai/LangAlpha	2.2K	+13	+322	+371
xbtlin/ai-berkshire	16.9K	+11	+96	+346

Explore repositories

Showing 1–8 of 8 tracked repositories.

stefan-jansen/machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

★ 21.6K+47 todayJupyter Notebook

machine-learning deep-learning

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Fincept-Corporation/FinceptTerminal

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

★ 33.2K+44 todayC++

machine-learning ai-agents

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microsoft/qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

★ 49.8K+28 todayPython

machine-learning deep-learning

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ginlix-ai/LangAlpha

Claude Code for Financial Market

★ 2.2K+13 todayPython

llm mcp

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xbtlin/ai-berkshire

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.