Chris Conlan

Data Scientist

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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

Latest Release: Algorithmic Trading with Python

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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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