Inquiry Regarding Deep Reinforcement Learning Trading Course

Hi to all, sending the next questons that I sent to sales mail with any answer, is it possible to get some help?

I hope this email finds you well. I am interested in the: Deep Reinforcement Learning Trading course offered at Quantra by QuantInsti | Courses on Algorithmic and Quantitative Trading and have a few questions regarding its content and capstone project:

  1. Could you provide information about the next set of questions in the course?
  2. Is it possible to run the capstone project in Google Colab using a GPU 100 or GPU L4?
  3. Does the capstone project demonstrate positive results in terms of PnL or Sharpe Ratio?
  4. Does the project utilize real market data or synthetic data? If real, does it cover stocks, Forex, or crypto?
  5. Does the provided code include an option to avoid being in the market at all times? Specifically, can it:
  • Open a ong trade,
  • Close the long trade and wait for the next opportunity,
  • Avoid closing a long position by opening a short trade?
  1. When was the codebase created? Does it incorporate recent reinforcement learning algorithms, or does it rely on models from previous years?
  2. Does the project rely solely on public Python libraries, or does it use proprietary libraries from Quantra that require a key/password for access?

I would appreciate your insights on these queries and any additional details you can provide.

Looking forward to your response.
Alejandro Holguin M

Hello Alejandro,

Your queries have been addressed over email. You can reach out to us via email at quantra@quantinsti.com for further assistance.

Thanks.

Lies, lies and more lies!!! I have been waiting for 2 weeks for a simple answer and it is impossible!!! Put me in touch with someone who has the slightest intention of helping and providing help

Deal Alejandro, We have resent you the email on (holguin****@hotmail.com) that was sent to you on Feb 26 and we had also sent you a followup email on Feb 27. You can check if email is landing in some different folder.

Thanks