ZhuLinsen/daily_stock_analysis
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
This period is measured from GitHub’s rebuilt star history — one point per week — because our own daily snapshots do not reach this far back yet. Period boundaries can be off by up to half a week; the repository page prints the real start date for each period. So far the history has been fetched for 12,569 of 63,107 tracked repositories, and only those can be ranked in this period.
Star counts measured between 07:55 and 12:03 (BKK).
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
TSP自托管、零运维的 A 股「自建策略 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源
Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
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.
A股行情分析与AI智能投研智能体：股票分析、量化交易分析、盘后复盘桌面工作台——easy stock
PanWatch — AI stock monitoring for A-shares, HK & US markets, powered by TradingAgents. Portfolio insights, real-time alerts & automated reports.｜盯盘侠：覆盖 A股/港股/美股的 AI 盯盘、持仓分析、实时提醒与自动报告。
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
A vector index built on TurboQuant, written in Rust with Python bindings
QuantMind（量化大脑）开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台，提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析，到通达信深度联动（板块推送/预警雷达/闪电下单）与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用，系统采用 Docker Compose 一键私有化部署，数据与模型完全本地化，保障策略隐私，功能零门槛无限制。
An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis and backtesting Trading model R&D · Ultra-fast engine · Efficient backtesting
AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
Portfolio analytics for quants, written in Python
开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；
A data platform for investment research. Ingests financial data sources and computes point-in-time financial metrics for valuation and screening. Delivered as an MCP server.
The Official Python SDK for Alpaca API
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
A package that lets you create TradingView screeners in Python
openctp提供CTP股票期权、中泰证券XTP、华鑫证券奇点TORA、东方证券OST、东方财富证券EMT、盈透证券TWS、易盛TAP、量投QDP等各通道的CTPAPI兼容接口，CTP程序可以无缝对接各股票柜台。openctp也提供了一套基于TTS交易系统的模拟环境，同样提供了CTPAPI兼容接口，不仅支持国内期货与期权全品种，也支持A股股票、基金、债券以及股票期权模拟交易，可以替代Simnow，为CTP量化交易开发者提供7x24可用的模拟环境。
宽宝 QuantBuddy： 一整套面向Agent Invesment投资研究与决策的底层设施与能力的调用skill， 覆盖A股/港股/美股/期货/宏观/ETF的量化分析与计算。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。A complete infrastructure for Agent based investment analysis and decision through skill calling. Including quant skill for A-share, HK & US stocks/futures/ETF/macro — market data, fundamentals, screening, factor & backtest.
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
Open Source Algorithmic Trading Engine
That's all 22 repositories in this period.
