Introduction to IBridgePy - Python Algorithmic Trading Platform

Core Concept

What is IBridgePy?

IBridgePy is a flexible, highly stable, and easy-to-use algorithmic trading integration package built in Python. It serves as an execution wrapper that securely connects your proprietary trading logic directly to major brokerage accounts.

Traditionally, connecting to brokers like Interactive Brokers requires navigating complex, low-level APIs (such as IB's asynchronous socket API). IBridgePy acts as a protective, intuitive translator. It wraps these complex APIs into standard, clean, and reliable functions (e.g. order(), order_target(), show_realtime_price()), heavily inspired by the popular Quantopian design model.

By handling the heavy lifting of connection status, event handling, order tracking, and account synchronization, IBridgePy allows you to focus 100% on what matters: your quantitative alpha.

ibridgepy_console.py

[12:30:00]Initializing IBridgePy Core Engine...

[12:30:01]Connecting to Interactive Brokers...

[12:30:02]Broker Connected! (Client ID: 99)

[12:30:03]Active account balance: $142,580.44 USD

[12:30:05]Fetching market prices for SPY...

[12:30:06]Price received: Bid = 520.42, Ask = 520.45

[12:30:07]Triggering Strategy Signal: BUY SPY

[12:30:08]Order Sent: BUY 100 SPY @ Market

[12:30:09]Execution Filled! 100 shares @ $520.45

Design Principles

Why Trade With IBridgePy?

IBridgePy was engineered to eliminate the limitations of cloud-based trading environments and low-level broker protocols.

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Absolute Privacy

IBridgePy runs 100% locally on your computer. Your trading strategies, secret parameters, and proprietary source code are never uploaded to any cloud server or third-party databases.

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Zero Library Restraints

Because IBridgePy runs locally, you can import and use any Python package without restriction. Integrate Scikit-Learn, PyTorch, Pandas, SciPy, or custom C++ extensions effortlessly.

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Unified Codebase

Write your logic once. The exact same strategy file can be run in backtesting modes using historical CSV data or TWS tick data, and then promoted directly to live production without rewriting a line.

Σ

Multi-Account Management

Designed for professional money managers, family offices, and retail traders alike. Send orders to one or multiple accounts simultaneously with granular allocation controls.

System Topology

How the Bridge Operates

IBridgePy sits between your algorithm logic and the brokerage gateway, orchestrating all outgoing commands and incoming data streams in a highly synchronized loop.

Your Python Strategy Machine Learning / Technical indicators

Commands

IBridgePy Core Engine Translates Quantopian API to Broker protocols

Sockets

Broker Client Gateway Interactive Brokers TWS, TD API, or Robinhood Client

Getting Started

How to Setup and Run

Launching your first automated trade with IBridgePy takes just four simple steps:

1

Download and Unzip

Download the compatible version of IBridgePy for your Operating System (Windows, macOS, Linux) and Python version. Extract the files locally.

2

Configure Credentials

Open the configuration file to configure your desired Broker account settings (e.g. IB Gateway IP, Port, and Client ID).

3

Write Strategy Logic

Write your standard Quantopian-style functions (e.g. initialize(context) and handle_data(context, data)) in a python script.

4

Execute the Bridge

Run your strategy script locally. The bridge immediately establishes the socket connection and executes your instructions on market events.

            strategy.py
            ✓
          

# Define trading assets in initialize
def initialize(context):
    context.security = symbol('SPY')
    context.target_shares = 100

# Handle real-time market data ticks
def handle_data(context, data):
    # Check real-time ask price
    current_price = show_realtime_price(
        context.security, 
        'askPrice'
    )
    
    if current_price > 520.0:
        # Order target allocation
        order_target(
            context.security, 
            context.target_shares
        )
        log.info("Order placed successfully.")
        
    else:
        log.info("Conditions not met.")

Compatibility

Supported Broker Gateways

IBridgePy maintains native wrappers for leading global brokers, allowing you to connect to the same or different brokers depending on your asset requirements.

🏦

Interactive Brokers

Supports TWS and IB Gateway. Access global Equities, Options, Futures, Forex, and Bonds.

📈

TD Ameritrade

Supports commission-free U.S. stock, ETF, and Options trading via official TD APIs.

📱

Robinhood

Enables commission-free stock and option executions using light-weight client integrations.

Bridge Your Python Logic Directly to Live Markets