How to get historical market data from Interactive Brokers using Python

When exploring the world of quantitative finance or algorithmic trading, you quickly end up facing a very common issue: Where do I get historical market data? No matter what sort of analysis or trading you plan to do, you'll need access to quality market data for your research and development. This can be a challenging … Continue reading How to get historical market data from Interactive Brokers using Python

Backtrader, a Python backtesting and trading framework

After looking at zipline, another backtesting framework, I thought it would make sense to take a look at some other options in the open source community for backtesting and trading. The next framework to investigate is backtrader, an open source project that aims to provide tooling for backtesting and live trading algorithmic strategies. I'll use … Continue reading Backtrader, a Python backtesting and trading framework

Zipline, an open source backtesting library from Quantopian

Developing an algorithmic trading strategy is a challenging process, with many factors to consider. One part of the process in developing a strategy is to measure its performance using historical data in what is called a backtest. It can be very helpful is to have a decent library that abstracts away some of the challenging … Continue reading Zipline, an open source backtesting library from Quantopian

3 ways to get historical market data from IEX Cloud

IEX Cloud is a service offering financial data. They offer a wide variety of data sets, both for historical and real-time data. Those of us interested in financial data, whether for trading or research, are always looking for good data sources, especially for clean and complete data. This post will show you three ways to … Continue reading 3 ways to get historical market data from IEX Cloud