Why Should Traders And Researchers Learn Python?
(4 min read)
I’ve been a quant strategist in FX for nearly 15 years. At the start of my career, quant was somewhat of a niche area. Typically, most of my interactions on the sell side were with other quants at buy side firms. Today everything has changed, quant is no longer simply the preserve of large quant funds. Indeed, more quantitative approaches to looking at markets are gaining traction on the discretionary side. It’s not about everyone suddenly becoming systematic, it’s more about trying to use data more efficiently to help with the investment process. Excel can sometimes seem limiting in this type of environment.
These days it’s clear that there’s a move towards to using Python and other open source languages such as R. Python is much better suited to dealing with larger datasets and automating processes, than Excel is. It can also deal with alternative datasets such as text. In the past few years, there’s been a steady increase in interest amongst traders, who have traditionally stuck to Excel, wanting to learn Python.
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