The discount brokerage space is getting very competitive with commissions going to zero recently at many brokerages, including Interactive Brokers. IB has long been a broker with one of the largest breadth of products and service offerings targeting a professional audience. It is also a low cost brokerage making it an excellent option for the … Continue reading How to connect to Interactive Brokers using Python
Tag: python
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
Python string literals
I've been working on moving a codebase from python 2 to 3 recently and decided to take a fresh look at string literals. In python, string literals can be enclosed by a pair of unescaped single quotes ', a pair of double quotes ", or a pair of triple double quotes """ or single quotes … Continue reading Python string literals
A pandas.DataFrame.apply example
I recently saw a question about pandas.DataFrame.apply and realized that when I first started using Pandas I would often attempt to solve problems with apply when a vectorized solution was what I should have been using instead. Let's say that you have an existing function to calculate the present value of an investment that takes … Continue reading A pandas.DataFrame.apply example