High-frequency trading algorithm

Yes. Many traders worldwide use Python to make their strategies . It is one of the most famous languages used in trading strategies and will suffice very easily for HFT. In fact many HFT firms use Python for making their strategies.7 May 2015

Originally Answered: Is Python fast enough for HFT in a stock market with an average trade rate of 3 – 15 trades/s? To get to the point, yes Python is fast enough but that doesn’t necessarily mean you should use it.

HFTs are profitable more often than not . In 74% of firm-days, HFTs earn positive gross trading profits. Aggressive HFTs are the least frequently profitable at 68% of the firm-days. Passive HFTs are profitable slightly less often than Mixed HFTs at 71% compared to 76%.

Python is the preferred language of many quantitative traders because of the extensive availability of packages for data analysis, like SciPy and Pandas. R is also popular as it’s the default used for statistical analysis in many university courses.