QTPyLib, Pythonic Algorithmic Trading
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Updated
Sep 22, 2021 - Python
QTPyLib, Pythonic Algorithmic Trading
ezIBpy, a Pythonic Client for Interactive Brokers API
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets
Port of Interactive Broker's trading API written in Rust
Make the Python IB API from Interactive Brokers run inside an event loop
A solution to critical stages of algorithmic trading system development using Interactive Broker's Java API
Convert transaction history export from your favorite broker to a format that can be imported in Ghostfolio.
Stocks, Futures and Options positions and market portfolio tracker (includes optional Interactive Brokers IBKR TWS API integration)
Interactive Brokers API in TypeScript / Kotlin / Java / Nim
Docker container for running Trader Workstation headless
Insights, tools and tips as a result of losing too much money.
Interactive Brokers TWS/Gateway API in Swift
Docker container for running IB Gateway headless
Running trading and signal bots is easy, peasy and fun
Web app to track PnL for options & futures strategies.
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