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.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
[🔥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: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Autonomous trading agents with deterministic execution. The agents propose; the system decides.
Open Data Platform for analysts, quants and AI agents.
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.
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.
"Vibe-Trading: Your Personal Trading Agent"
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Open source software that helps you create and deploy high-frequency crypto trading bots
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
QuestDB is a high performance, open-source, time-series database
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Python toolkit for quantitative finance
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.
Python wrapper for TA-Lib (http://ta-lib.org/).
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 data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
The QuantLib C++ library
Collection of notebooks about quantitative finance, with interactive python code.
量化研究-券商金工研报复现
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
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Transparent and Efficient Financial Analysis
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Portfolio Optimization in Python
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
Algorithmic Trading in Python with Machine Learning
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
面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎,集成增量同步、本地缓存、复权、批量查询、回测与指标计算。
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Python library for portfolio optimization built on top of scikit-learn
AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
A community based Python library for quantitative economics
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
为前端设计的无需 Python、无需后端服务、零依赖的获取股票数据 JavaScript SDK。
AI+金融(量化):1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作,包括LLM, Agent, benchmark(evaluation), etc.
Rust library for quantitative finance.
TradingView Screener API - Stock, Crypto, Forex, Bond, Futures, Coin
看海量化回测平台 khQuant 开源版 V2.2:免费开源的 A 股量化回测桌面软件。不用开户、不用装 QMT,BaoStock / Tushare 下载数据到本地 DuckDB,Python 写策略,一键出回测报告。
Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.
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
The Official Python SDK for Alpaca API
A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
A package that lets you create TradingView screeners in Python
Docker image with IB Gateway/TWS and IBC
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
VisualHFT Terminal: open-source observability and decision terminal for electronic trading desks. Live Level 2 order books, microstructure analytics, and quantitative execution monitoring.
Autonomous LLM Trading Asterism — a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Open source analytics and market risk library from OpenGamma
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
The Go FIX Protocol Library :rocket:
An R package for the Quantitative Analysis of Textual Data
Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.