Transparent and Efficient Financial Analysis
- financial-statements
- stock-data
- fundamental-analysis
- fundamentals
61,275 visible repositories in the index
25–48 of 60 · Most stars
Transparent and Efficient Financial Analysis
TranslatedFree and open-source A-share quantitative trading database; focused on A-shares, focused on quantification, living toward the sun; open, clean, continuous, generating power for Ai (爱, "love"/AI). Born for personal quantitative trading, defend 3000 points, cherish the opportunities at the bottom...... [stock data, stock market data, stock quantitative data, stock trading data, candlestick (K-line) market data, stock concept data, stock data API, market data API, quantitative trading data] [multi-data-source fusion, dynamic proxy settings, ensuring high data availability]
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
A python wrapper for Alpha Vantage API for financial data.
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
modular quant framework.
efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀
Serenity-inspired Agent Skill for supply-chain bottleneck stock research
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。
股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集,系统包括新浪腾讯双数据核心采集获取,自动故障切换,STOCK数据格式成DataFrame格式,可用来查询研究量化分析,股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量,更加专注于策略和模型的研究与实现。
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
DojoAgents: Full-Market AI Copilot for Personal Investment
Algorithmic Trading in Python with Machine Learning
Bring realtime market data and research workflows into Claude Code, Cursor & beyond — 29 open-source Skills for stocks, options and commodities.
TranslatedPanWatch — AI stock monitoring for A-shares, HK & US markets, powered by TradingAgents. Portfolio insights, real-time alerts & automated reports.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
11 Claude skills that copy the investors you trust, watch the news and Congress, size every trade to your budget, and never place an order without your yes.
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Python module to get stock data from Yahoo! Finance
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Portfolio optimization with deep learning.
Run 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs).
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.