Trading environment IB API - QT C++ - Flask - RL Model. Complete working example.
This video contains example of the trading environment wich uses Interactive Brokers API (TWS or IB Gateway), QT C++ client and reinforcement learning agent policy for action prediction. For policy (model) deployment, Flask is used. Also I'm using REST Api for communication between C++ client and RL policy model.
If you want to support this channel:
https://commerce.coinbase.com/checkou...
QT C++ client is currently in stagnation, but I think about renewing this project.
https://github.com/CloseToAlgoTrading...
Code from this video:
https://github.com/CloseToAlgoTrading...
Visual Studio Flask Tutorial:
https://code.visualstudio.com/docs/py...
Visual Studio Flask in a docker container
https://code.visualstudio.com/docs/co...
Presentation:
https://prezi.com/view/VOLEIzqZo1ihLz...
Content:
00:00 Intro
00:30 About IbTradeQt
00:48 Content overview
01:16 Changes in RL Model Overview
03:08 Model deployment with Flask
06:52 QT + REST API
10:50 Running all together
Watch video Trading environment IB API - QT C++ - Flask - RL Model. Complete working example. online without registration, duration hours minute second in high quality. This video was added by user CloseToAlgoTrading 21 February 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 2,615 once and liked it 58 people.