Surveys are really hard to find. This is a consideration for those that are interested in doing data science, big data, machine and deep learning. So what tools to use? What libraries to use? Thankfully, there is an in-depth survey that was done that seems to reflect the true trends of what people use for researching trading ideas.
Check out this article here
The major takeaways I can glean are that both Python and R are the top language choices. When you look deeper, most open source packages are leveraged the most. Not only that, I wonder if popular data platforms like Hadoop or Spark are as widely used as you think. After my analysis, the NOSQL database options should be sufficient. In actual fact, I think it’s a better option but not use traditional relational databases like MySQL or Postgres. Well either way, many will fight to the death in such tech flaming wars but I’m not interested in those forays.
Where does that leave us? As you know I have been hyping about my programming language choices for my final automated trading system, the idea is to be able to use both R and Python to get the best of both worlds. As you know my philosophy on all programming roads lead to C, we are now using all these powerful scripting languages at full potential. There is nothing holding us back now. I even made a video about it.
As we all know, it does not stop there. I have been making some “proof of concept” videos to showcase the power of all these languages for automated trading. The idea is also to make the transition from low data frequency to high frequency all that much easier. I’ve actually started that process this week to move my Phase 2 futures/options trading Python trading scripts to C++. This could give me a five times to 10 times performance boost alone. If you want to see some of the source code, just check out my Algorithm Trading course series where I teach this every Tuesday night live.
Go here for the details
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Thanks for reading
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