Latest Resources in Quant Trading

Quant Trading

Exploring Stock Price Movements After Major Events medium.com

Published May 19, 2019 under Trading

This post will go through the process of gathering and cleaning this data followed by an exploratory analysis examining price trends and the impact of events on prices using data from the IEX API and scraped events from financial news sites.

Time Series Analysis with Pandas dataquest.io

Published February 2, 2019 under Python

Setting Up Alpaca API with Python medium.com

Published November 29, 2018 under Trading

A feature-rich Python framework for backtesting and trading backtrader.com

Published November 23, 2018 under Trading

Using Quadratic Discriminant Analysis To Optimize An Intraday Momentum Strategy

Published June 17, 2018 under Trading

Kalman Filter Techniques And Statistical Arbitrage In China’s Futures Market quantinsti.com

Published June 17, 2018 under Trading

K-Means Clustering For Pair Selection In Python – Historic Problem of Pair Selection (3 of 3) interactivebrokers.com

Published June 17, 2018 under Trading

K-Means Clustering For Pair Selection In Python – Heatmaps and ADF Tests (2 of 3) interactivebrokers.com

Published June 17, 2018 under Trading

K-Means Clustering For Pair Selection In Python – Historic Problem of Pair Selection (1 of 3) interactivebrokers.com

Published June 17, 2018 under Trading

Value at Risk Estimation Error geodesicanalytics.wordpress.com

Published June 4, 2017 under Python

Python Backtesting Libraries For Quant Trading Strategies robusttechhouse.com

Published January 23, 2016 under Python

Scott Sanderson on Algorithmic Trading Podcast pythonpodcast.com

Published January 13, 2016 under Blogs