# trading


2 OCT 2019

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?

22 SEP 2018

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.

5 JUN 2018

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.

24 DEC 2017

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.

1 NOV 2017

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.

25 AUG 2017

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.

26 MAY 2017

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.

28 FEB 2017

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.