Chris Conlan

Data Scientist

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Pulling All Sorts of Financial Data in Python [Updated for 2021]

December 13, 2020 By Chris Conlan Leave a Comment

Contributed so kindly by Joe Wojniak It may seem obvious, but financial research requires data — and a lot of it. If financial research isn’t your day job, it can be surprisingly difficult to come by. Here are some suggestions for acquiring data to use in your financial research project. Data Sources Every project has […]

Filed Under: Automated Trading, Programming with Python

70+ Code Profiles of Common Python Algorithms

June 1, 2020 By Chris Conlan Leave a Comment

I just released my latest book, Fast Python: Master the Basics to Write Faster Code. In it, you will find a blend of academic discussion of algorithms and a pragmatic optimizations of computation time. Whether or not you are interested in buying the book, I wanted to share some free resources from the accompanying GitHub […]

Filed Under: Programming with Python

Calculating Financial Performance Metrics in Pandas

April 12, 2020 By Chris Conlan 2 Comments

I just finished writing my latest book, Algorithmic Trading with Python. When writing the chapter on performance metrics, I was consistently surprised with the simplicity of the pandas code. If you, as a developer, resolve to only work with datetime-indexed pd.Series objects, the resulting code is really clean and easy. Simulating Data For those unfamiliar […]

Filed Under: Automated Trading, Programming with Python

Moving from Single-Asset to Multi-Asset Algorithmic Trading

April 12, 2020 By Chris Conlan Leave a Comment

In my latest book, Algorithmic Trading with Python (2020), readers work through the process of developing a trading strategy, simulator, and optimizer against a portfolio of 100 assets. Each asset has 10 years of end-of-day data, creating about 2,500 data points per asset, totaling 250,000 data points. A lot of similar work in this field […]

Filed Under: Automated Trading

Alteryx for Good Teams Up with University of Virginia to Support New Class: STAT 4559

December 13, 2017 By Chris Conlan Leave a Comment

I’d like to give a big “thanks” to Alteryx and DataMeaning for hosting Big Data & Self-Service Analytics at the Jack Rose Saloon in Washington D.C. I met a lot of great professionals, and learned a ton about the rise of self-service analytics. Before discussing the partnership, I would like to share some of my […]

Filed Under: Business Management, Chris Conlan Blog

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Latest Release: Algorithmic Trading with Python

Algorithmic Trading with Python

Available for purchase at Amazon.com.

Algorithmic Trading

Calculating Triple Barrier Labels from Advances in Financial Machine Learning

Download Historical Stock Data with R and Python

Download Price History for Every S&P 500 Stock with R

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