Awesome AI in Finance
Section: Exchange API · Javascript SDK for Trading/Data API and Websockets for cryptocurrency exchanges like FTX, FTXUS, OKX, Bybit, & More
Entry
Appears in 4 awesome lists
| JavaScript | - A free Javascript library allowing simplified interaction with trading and data commands on a growing list of cryptocurrency exchanges like FTX, OKX, ByBit, & more.
Section: Exchange API · Javascript SDK for Trading/Data API and Websockets for cryptocurrency exchanges like FTX, FTXUS, OKX, Bybit, & More
Section: Market Data & Data Sources · JavaScript - Javascript SDK for Trading/Data API and Websockets for FTX, FTXUS, OKX, Bybit, & More.
Section: Broker APIs · Javascript SDK for Trading, Data, and Websockets for FTX, FTXUS, OKX, Bybit, & More.
Section: Broker APIs · | JavaScript | - A free Javascript library allowing simplified interaction with trading and data commands on a growing list of cryptocurrency exchanges like FTX, OKX, ByBit, & more.
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
Open benchmarks of crypto infrastructure (RPC providers, bridges, oracles, L1 finality, prediction-market data, Hyperliquid builders) refreshed every minute via a JSON feed, with daily Parquet snapshots on Hugging Face (CC-BY-4.0) archived on Zenodo. [DOI]
|Python| - yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance.
Python - AkShare is an elegant and simple financial data interface library for Python, built for human beings! https://akshare.readthedocs.io.
|Python| - SEC EDGAR data for quant strategies — fundamentals, institutional holdings (13F), insider transactions, and corporate events (8-K). Includes MCP server for AI workflows.
Financial data platform for analysts, quants and AI agents. Open-source investment research infrastructure with extensive data integrations. AGPL-3.0 licensed.
Python - Python module to get data from various sources (Google Finance, Yahoo Finance, FRED, OECD, Fama/French, World Bank, Eurostat...) into Pandas datastructures such as DataFrame, Panel with a caching mechanism.
Python - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.