With the rise of fintech and digital transformation, using apis for algorithmic trading and quantitative investing has become a growing trend. Apis allow investors to quickly access financial data, backtest strategies, and automate trading. Here we introduce 4 great open source api investing strategy examples from github, which are valuable resources for investors looking to leverage apis in their investing process.
Zipline – Pythonic algorithmic trading library with backtesting
Zipline is an open source Python library for trading simulation. It allows users to write and backtest trading algorithms against historical market data. Zipline comes with api bindings for common data sources like Quandl, supports pipeline for factor modeling and mean-variance optimization. The modularity of Zipline makes it easy to extend and customize for your own strategies.
QuantConnect – C#/Python algorithmic trading platform
QuantConnect offers an open source algorithmic trading engine and cloud platform for strategy building and backtesting. It provides apis for both C# and Python to connect your algorithms to market data, brokerages, execute orders automatically. QuantConnect also has a vibrant community with over 200k members to exchange ideas and strategies.
Hummingbot – Crypto market making bot
Hummingbot is an open source client for crypto market making. It allows users to create liquidity and run high frequency trading strategies across crypto exchanges via unified APIs. Hummingbot offers transparent algorithms, real-time pnl tracking, and paper trading mode. The active community provides lots of sample configs for different market making strategies.
Alpaca – Commission-free API for stock/crypto trading
Alpaca provides APIs for accessing real-time market data and trading on traditional stocks and crypto assets. It has sdk support for Python, Java, Go and more. Alpaca offers a paper trading API identical to production, making it easy to test strategies with real market data. The API is commission-free and easy to integrate into your own apps.
These open source api investing strategy examples demonstrate the power of apis in building and executing quant strategies. With proper api integration, investors can quickly obtain data, backtest ideas, and automate the entire investing process efficiently.