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C#: Trading environment IB API - QT C++ - Flask - RL Model. Complete working example. - видео HD

C#: Trading environment IB API - QT C++ - Flask - RL Model. Complete working example. - видео
00:12:40

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Trading environment IB API - QT C++ - Flask - RL Model. Complete working example. - видео.

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:
commerce.coinbase.com/checkout/e47393db-561b-41bb-a5f7-c5f913af87f9

QT C++ client is currently in stagnation, but I think about renewing this project.
github.com/CloseToAlgoTrading/IbTradeQtDev

Code from this video:
github.com/CloseToAlgoTrading/CodeFromVideo/tree/master/Episode_18_AllTogether

Visual Studio Flask Tutorial:
code.visualstudio.com/docs/python/tutorial-flask

Visual Studio Flask in a docker container
code.visualstudio.com/docs/containers/quickstart-python

Presentation:
prezi.com/view/VOLEIzqZo1ihLz8tK2a8/

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
closetoalgotrading, tensorflow, flask, qt, c++, reinfrorcement, reinforcement learning, qnetwork, dqn, trading environment architecture, rl, ml, rest api, model deployment, ib, ib api, ib api c++, ibtradeqt
Разработка на C#
20:37
Sound language:
RUS - Русский
Провайдер видео:
youtube
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Paol Grenin
21:11
#
+1
Well detailed, I've always admired the messages you put up on this channel mate. One thing I always tell a crypto hoarder is the fact that they aren’t being opportunistic enough, why would one wait to earn in bits(with the risk of a volatile market included) when one can earn big via trading crypto, it's no bragging though, but crypto trading has been my major source of cash flow for some months now. Renowned trading expert Clark Haynes has been the backbone behind these successes, I ain't shy of admitting this, the success rate of his signals coupled with his friendly and professional guide has really been a huge boost reflected in my trading portfolio. For solely cryptocurrency-related concerns, Clark Haynes can be contacted on Telegrm@(Haynescrypto) or Whatsapp:+18125086057.
Piter Smith
02:02
#
+1
Ну шикарно! Я в это уже могу верить.
Только вот перебивать номер порта каждый раз не комильфо…