Twelve Data Python Client - Financial data API & WebSocket
Twelve Data go client
Twelve Data MCP (Model Context Protocol) Server provides seamless, real-time access to financial market data via WebSocket, enabling reliable streaming of price quotes, market metrics, and events directly into your applications.
This is a prototype quant web app for stock traders. The app enables stock traders to analyse stocks using indicators such as bollingerbands, ema, sma and rsi including candlestick charts to observe price movements, velocity , volume and momentum for a specified trading session.Strategies are backtested to determine profitability and overcome loses
Real-time stock data streaming, TimescaleDB, XGBoost, Flask API. Pull continuous data from Twelve Data WebSocket, fill TimescaleDB, train ML models, provide stock price predictions.
A desktop stock viewer that utilizes the excellent TwelveData API as the data source and the PyQt5 library with the Qt framework for the GUI. It provides all relevant information for over 20,000 stocks with a clean, easy to use user interface.
A Ruby Client Library for Twelve Data API
application performs current information query about actions via API twelvedata and save history in Database
Twelvedata client for delphi - Financial data API & WebSocket *unofficial
Explore and test automated trading ideas, generate daily BUY/SELL signals, and backtest heuristic strategies over real historical data. Perfect for quantitative experimentation, signal discovery, and portfolio simulation.
Javascript, Twelvedata API, and Chart.js
Signals, heuristics and publishing for production trading systems
Add a description, image, and links to the twelvedata topic page so that developers can more easily learn about it.
To associate your repository with the twelvedata topic, visit your repo's landing page and select "manage topics."