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# A simple moving average crossover strategy
def handle_data(context, data):
    sma_short = data.history(‘SPY’, ‘close’, 50).mean()
    sma_long = data.history(‘SPY’, ‘close’, 200).mean()
    if sma_short > sma_long:
        order_target_percent(‘SPY’, 1.0)

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Algorithmic Trading at Interactive Brokers

Interactive Brokers (IBKR) is known for its low-cost trading, fast execution, and advanced tools. It offers some of the lowest commissions on stocks, options, and futures, making it ideal for cost-conscious traders. IBKR’s infrastructure ensures quick trade execution, crucial in fast-moving markets. Additionally, its platform supports algorithmic trading, allowing users to automate and optimize strategies for speed, price, or liquidity.

IBridgePy is a Python-based algorithmic trading platform known for its simplicity and user-friendly design. Built to cater to both beginners and experienced traders, IBridgePy streamlines the process of developing, backtesting, and executing trading algorithms. What sets IBridgePy apart is its ability to support both backtesting and live trading in one integrated platform.

One of IBridgePy’s main strengths is its compatibility with Interactive Brokers, providing access to a wide range of markets, including stocks, options, futures, and forex. The platform’s Python-based framework makes it highly accessible for developers, allowing them to create and refine their algorithms using a straightforward, well-known language.

IBridgePy was developed by Dr. Hui Liu, a respected figure in the algorithmic trading community, in the mid-2010s. Interactive Brokers has featured IBridgePy in their education center, showcasing tutorial videos to help users learn the platform. With its ease of use and flexibility, IBridgePy has become a trusted tool for both backtesting and live trading.

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