hybrid strategy for stock trading

Hi, I'm skilled in Python and can help you build this application using AI/ML technology of your choice. I should admit that I'm not expert in AI/ML but willing to learn. We can use IBM Watson or Google's Tensorflow for the implementation if required. If you want a simple work processes implemented, then that can also be done. I know how to scale large applications by implementing Message Queue, Workers etc. We can breakdown the project into phases and execute it, POC Phase: Build a POC application using the reference paper and see how it works against test data. Using bare minimum techs that are absolutely necessary like Watson or Tensorflow. This itself will take us a while as we need to build the models. Output would be set of programs that'll take data in file or from db, and give us the output in JSON. Testcases to test for sanity. Web app phase: We can think about building the web app once first phase is done. We can build some analytics and visualisation pages with charts etc. Scaling phase: As stock market pumps large volume of data, we need to think about scaling the app. Regards, Murugan