# python
Reliably download historical market data from with Python
Ever since Yahoo decommissioned their historical data API, Python developers looked for a reliable workaround. As a result, my library, yfinance, gained momentum and was downloaded over 100,000 enjoys 300k+ installs per month, acording to PyPi!
Machine Learning for Trading (with Python): Webinar Recording, Slides and Notebook (IV)
I had a great time presenting yesterday's webinar about Live Trading with Python... This was the fourth and the final part of my webinar series on Treading With Python for futures.io's members.
Fast Data Store for Pandas Time-Series Data using PyStore
As algorithmic traders, we need a lot of data to test and optimize our strategy ideas. Over time, the amount of data adds up and the search for a reliable, efficient and easy-to-use storage solution begins.
Live Trading with Python: Webinar Recording, Slides and Notebook (III)
I had a great time presenting yesterday's webinar about Live Trading with Python... This was the third out of a four-part webinar series on Treading With Python for futures.io's members.
Backtesting Trading Strategies with (pure) Python: Webinar Recording, Slides and Notebook (II)
On wednsday, I gave the second out of a four-part webinar series on Treading With Python for futures.io's members. Here's the webinar's recording, slides, and Jupyter notebook.
You can still download data using Pandas Datareader using this quick hack
As you may have heard, Yahoo! finance has decommissioned its historical data API, causing many programs that relied on it to stop working. However...
Live Plotting in Python using Matplotlib and ZeroMQ
While working on a new dashboard for QTPyLib I needed to get a Matplotlib plot to refresh and update based on data coming from a ZeroMQ stream.
Prototyping Trading Strategies with Python - Slides, Notebook and Webinar Recording (I)
Last week I had my first out of four webinars with futures.io about Prototyping Trading Strategies with Python and people seem to enjoy it :) I thought I'd share the webinar's slides, notebook and webinar recording here.
Analyzing Twitter Sentiment with Python
I've recently launched a Twitter bot that posts a daily sentiment analysis for the S&P500 Stock Market Index, and thought I'd share the gist of the code here.