Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Stocksera | 515 | 10 months ago | 3 | mit | JavaScript | |||||
Finance application that provides more than 60 different alternative data to retail investors | ||||||||||
Ystockquote | 490 | 41 | 7 years ago | 6 | March 03, 2017 | 33 | Python | |||
Fetch stock quote data from Yahoo Finance | ||||||||||
Ta Rs | 465 | 4 | a year ago | 13 | June 26, 2021 | 10 | mit | Rust | ||
Technical analysis library for Rust language | ||||||||||
Stock Prediction Deep Neural Learning | 385 | 4 months ago | cc0-1.0 | Jupyter Notebook | ||||||
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting | ||||||||||
Adata | 320 | 4 months ago | 37 | December 11, 2023 | 1 | apache-2.0 | Python | |||
免费开源A股量化数据库; 专注A股,专注量化,向阳而生; 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生,保卫3000点,珍惜底部机会......【股票数据,股票行情数据,股票量化数据,股票交易数据,k线行情数据,股票概念数据,股票数据接口,行情数据接口】【多数据源融合,动态设置代理,保障数据高可用性】 | ||||||||||
Pytse Client | 252 | 4 months ago | 42 | gpl-3.0 | Python | |||||
work with Tehran stock exchange data 💹 in Python | ||||||||||
Dukascopy Node | 228 | 3 | 7 months ago | 82 | September 17, 2023 | 12 | mit | TypeScript | ||
✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨ | ||||||||||
Alpaca Java | 190 | 1 | 17 days ago | 28 | August 20, 2023 | 4 | mit | Java | ||
A Java API for Alpaca, the commission free, algo friendly, stock trading broker. https://alpaca.markets | ||||||||||
Sumzerotrading | 102 | 6 years ago | 31 | other | Java | |||||
A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets | ||||||||||
Agora | 88 | 2 | 2 years ago | 22 | September 11, 2020 | n,ull | mit | JavaScript | ||
a command-line ui for market data and algo management. currently integrates with iexcloud for stock and crypto charts 💹 and market data 🗃, and alpaca 🦙 for trading. |