Chris Conlan

Financial Data Scientist

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Download Historical Stock Data with R and Python

July 24, 2017 By Chris Conlan 35 Comments

Update #2: Track this Issue Here Updates to this post are more about which API’s are still supported than how to access them with R, Python, or any other language. Follow the hilarious change history of EOD stock data API’s at my other post: https://chrisconlan.com/download-daily-data-every-sp-500-stock-r/. Update: Using Quandl’s API Because everything I write about breaks, […]

Filed Under: Automated Trading, Programming with Python, Programming with R

Installing R and Python in Anaconda for Biologists

June 24, 2017 By Chris Conlan 12 Comments

I live right outside of Washington D.C. I can walk to NIH, and I pass three hospitals on the way to the grocery store. Not surprisingly, I have met a few biologist that needed programming help. After helping a few biologists in completely independent situations, I began to notice a pattern. Researchers have data, can […]

Filed Under: Programming with Python, Programming with R

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

May 16, 2017 By Chris Conlan 28 Comments

Update #9: Quandl API is Deprecated According to an email I got from Quandl (and a few commenters corroborating), the Quandl EOD data API is no longer supported and is not providing data past March 27th. According to the CIO of Quandl, it was being provided for free by a 3rd party. That 3rd party […]

Filed Under: Automated Trading, Programming with R

The Case for OAuth in Automated Trading via Retail Brokerage Adoption

January 15, 2017 By Chris Conlan Leave a Comment

oauth and other ssl connections in retail trading

In Chapter 9 of Automated Trading with R, we discuss different networking capabilities of popular retail brokerages. At the time of writing, and to the best of my knowledge now, there are only two reputable brokerages that offer OAuth via HTTPS for sending trade orders. These brokerages are TradeKing and OANDA. TradeKing offers a wide […]

Filed Under: Automated Trading, Programming with R Tagged With: automated trading, HTTP, HTTPS, OAuth, python, r programming, retail trading

S&P 500 for the Long Haul: Code Explanation Addendum

January 14, 2017 By Chris Conlan Leave a Comment

In the last post, S&P 500 for the Long Haul, we discussed the results of a 66 year analysis of the S&P 500. This post will discuss the R code used to generate tables and plots in that post. We will focus on While reading, you may want to view the entire script: R Script […]

Filed Under: Programming with R Tagged With: investing benchmarks, plotting, r programming, return series, s&p 500, time series, visualization

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Latest Release: The Financial Data Playbook

The Financial Data Playbook

Available for purchase at Amazon.com.

Algorithmic Trading

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

Calculating Triple Barrier Labels from Advances in Financial Machine Learning

Calculating Financial Performance Metrics in Pandas

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