Is this the world's best (and laziest) trading strategy?
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?
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.
Volatility Index for Crypto Currency
The CBOE Volatility Index (Ticker: VIX) is a well known measure of the stock market's expectation of volatility implied by S&P 500 index options.
My Bitcoin Scalping Strategy
Bitcoin has seen a tremendous growth in both price an trading volume this year. Noticing that, I’ve backtested a scalping strategy I normally use to trade interest rate futures on Bitcoin, and... it worked great with very minor modifications.
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.
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.