An Introduction to Stock Market Data Analysis with R – Part 1
I don't have much experience with any kind of stock market analysis/ HFT programming.<p>I've seen people use python (or R) a lot in online tutorials and courses (there's one on coursera[1] check it out). It's understandable that python is preferred since it's an easy language to get started with, but I've never really seen C/C++ used by people online (Although I've heard about the use of FPGAs by the hardcore guys)<p>Is the only reason C++ isn't recommended because it is difficult? The performance difference seems rather large to me. And especially if you're doing lots of number crunching, it would really benefit using C/C++ wouldn't it?<p>Do people use them but I don't hear about them because anyone above 'tutorial level' doesn't share their code or talk about it?<p>Or are the R and Python Computational libraries close to the performance of C/C++ that it's a viable compromise?<p>[1]: <a href="https://www.coursera.org/learn/computational-investing" rel="nofollow">https://www.coursera.org/learn/computational-investing</a>