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fintech GitHub repositories

Explore 10 tracked GitHub repositories tagged fintech. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 382 stars since the previous daily snapshot.

Tracked repositories
10
Total stars
169,200
Stars gained · 7 days
+2,217
Stars gained · 30 days
+6,746

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Star activity for fintech repositories on this page
RepositoryTotal starsToday7 days30 days
simonlin1212/Vibe-Research3.1K+135+368+531
HKUDS/Vibe-Trading36.9K+111+839+2,742
Fincept-Corporation/FinceptTerminal33.2K+44+393+1,177
microsoft/qlib49.8K+28+202+793
simonlin1212/vibe-astock879+19+93+296

Explore repositories

Showing 1–10 of 10 tracked repositories.

simonlin1212/Vibe-Research

Vibe-Research：A 股、美股、港股的投研工作台 · 自选与持仓、每日复盘、产业资讯、产业研究、个股深挖、回测、研报库，168 个数据端点。支持 Claude Code、Codex、WorkBuddy 订阅或任意模型 API。 | A research workbench for China A-shares, US and HK stocks.
★ 3.1K+135 todayTypeScript
llmpython
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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-learningdeep-learning
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simonlin1212/vibe-astock

Vibe AStock：A 股短线复盘与跟踪工作台 · 盯盘异动、情绪复盘（连板天梯、题材轮动、明日验证）、AI 复盘与周报、交易日志、盘前提醒，182 个数据端点。支持 Claude Code、Codex、WorkBuddy 订阅或任意模型 API。 | A short-term trading review and tracking workbench for China A-shares.
★ 879+19 todayTypeScript
llmpython
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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.
★ 16.9K+11 todayHTML
llmai
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The-FinAI/PIXIU

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
★ 895+0 todayJupyter Notebook
machine-learningchatgpt
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