bestofgithub.devRepositories with the GitHub topic “quantitative-finance”: 26 repositories with 542k stars between them, mostly written in Python, Jupyter Notebook and C++. The highest-rated is ZhuLinsen/daily_stock_analysis, #37 on the bestofgithub Elo ladder.
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.
git clone https://github.com/ZhuLinsen/daily_stock_analysis.gitstock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
git clone https://github.com/myhhub/stock.gitA股全栈数据工具包：行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
git clone https://github.com/simonlin1212/a-stock-data.git🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
git clone https://github.com/georgezouq/awesome-ai-in-finance.gitThe research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
pip install vectorbtPython quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
git clone https://github.com/je-suis-tm/quant-trading.gitLLM 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.
git clone https://github.com/ZhuLinsen/daily_stock_analysis.gitLLM 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…
"Vibe-Trading: Your Personal Trading Agent"
Open Data Platform for analysts, quants and AI agents.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring…
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic…
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Open source software that helps you create and deploy high-frequency crypto trading bots
A股全栈数据工具包：行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share…
The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery…
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte…
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex…
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs…
Python wrapper for TA-Lib (http://ta-lib.org/).
Portfolio analytics for quants, written in Python
QuestDB is a high performance, open-source, time-series database
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to…
An advanced trading bot written in Python
量化研究-券商金工研报复现
The QuantLib C++ library
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Collection of notebooks about quantitative finance, with interactive python code.
A curated list of practical financial machine learning tools and applications.