Overcoming Challenges: Using Python's Gekko Quant on GoDaddy for Trading

Finance Published: October 08, 2012
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Unleashing the Power of Python in Quantitative Trading

Python's popularity in quantitative trading stems from its versatility, ease of use, and robust libraries designed specifically for data analysis and machine learning. In this post, we delve into Gekko Quant – a platform that combines these powerful features to create a sophisticated quantitative trading environment.

TweetStream and GoDaddy: A Python Challenge

Gekko Quant's developers encountered an issue when attempting to download tweets using the TweetStream library on GoDaddy's basic economy web hosting package. The provided python 2.7 version lacked SSL support, rendering HTTPS communication impossible – a requirement for the Twitter API. This roadblock prompted them to find a workaround by installing pre-compiled Python binaries from ActiveState and configuring their environment accordingly.

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