Algorithmic trading used to be something only Wall Street powerhouses could afford — complex systems, massive data and lightning-fast decisions were out of reach for most. Now, that's changing.

We discuss how to access market data from many different sources in Python, and how to backtest systematic trading strategies in Python with a focus on FX markets. We also talk about how to conduct ...

The advancement of computer-aided algorithmic trading and high-frequency trading means there is a huge amount of data to be analyzed. Quants mine and research the available price and quote data ...

Traders who code have an edge – Python skills are helping traders automate tasks and improve accuracy. Automation is solving workflow pain points – Leading firms are cutting manual steps and ...

Present-day trading seems to have become a computer vs. computer market ... in addition to knowing how to use tools like R, MatLab, Stata, Python, and to a lesser extent Perl.