Python sync/async framework for Interactive Brokers API (replaces ib_insync)
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Updated
Aug 19, 2026 - Python
Python sync/async framework for Interactive Brokers API (replaces ib_insync)
Converting TradingView PineScript Alerts into Interactive Brokers Orders
Options Trader written in Python based off the ib_insync library.
Converting TradingView PineScript Alerts into Interactive Brokers Orders
A Python trading bot connecting directly to Interactive Brokers (IBKR) via ib_insync for live market data and automated order execution, with optional OpenAI integration for advanced signals.
Real-time price fetcher for Interactive Brokers (IBKR) using ib_insync — streams live market data for multiple symbols
IBKR intraday trading bot — first candle entry, trailing stop, position sizing
Converting TradingView PineScript Alerts into Interactive Brokers Orders
An example how to calculate a pairs trading chart for two stocks using Interactive Brokers TWS/Gateway API.
An Interactive Brokers client with no gateway. No JVM, no window, no process to keep alive.
Converting TradingView PineScript Alerts into Interactive Brokers Orders
Criação de mini mesa quant
ib_async without the gateway: the same API on the ib-dx engine, in Python and Rust.
Interactive Brokers TWS API 与 Client Portal API 的中文翻译 + ib_insync 实战策略示例
Production-ready automated Python trading architecture for Interactive Brokers (TWS/Gateway) using ib_insync. Features quantitative execution (EMA/RSI), dynamic risk & position sizing, auto-healing reconnection watchdog, trailing stop profit protection, and live multi-asset P&L telemetry with instant Telegram alerts.
Open-source futures-trading strategy framework with pluggable broker adapters (Interactive Brokers reference adapter via ib_insync). DXY-confluence ORB on micro gold futures.
Interactive Brokers historical data ETL with a clean Tkinter GUI. Supports Stocks/Index/Futures/Commodities/Crypto.
Session-aware Dual 5-min EMA crossover trading system for Interactive Brokers (ib-insync) — real-time bar aggregation, order-lifecycle management, layered risk controls, Telegram control, and a parameter-sweeping backtester.
Multi-strategy IBKR trading: HK IPO pop, timezone arbitrage (ADR→HK), US momentum, long-term portfolio
Multi-agent earnings trading bot — reads the earnings calendar and SEC EDGAR filings, scores candidates pre-open, an independent agent vetoes, then executes via IBKR with automated stop-loss/take-profit/max-hold. Python 3.12, SQLAlchemy 2 + Alembic, Supabase Postgres, ib_insync, APScheduler, Docker. Research lab — not financial advice.
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