In this post, I share my vision for an Open Trading standard for communicating with online brokers using modern technologies.
Can you regularly beat the market, cut volatility by 40% and max drawdown by 70% with only four trades a year, or is this too good to be true?
The recently updated yfinance added a lot more capabilities to this already popular library. You can now download fundamental data, including company financials, balance sheet and cashflow, as well as option chain data. Here's how...
Ever since Yahoo! Finance 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 acording to PyPi.
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.
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.
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.
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.
As you may have heard, Yahoo! finance has decommissioned its historical data API, causing many programs that relied on it to stop working. However...
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.
I was thinking going back to blogging for a while, but...