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Hands-On AI Trading with Python, QuantConnect, and AWS
book

Hands-On AI Trading with Python, QuantConnect, and AWS

by Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh
January 2025
Intermediate to advanced
416 pages
10h 30m
English
Wiley
Content preview from Hands-On AI Trading with Python, QuantConnect, and AWS

Part IIIAdvanced Applications of AI in Trading and Risk Management

In this part of the book, we dive deeper into the practical application of AI and machine- learning techniques you’ve learned in previous chapters. We have identified and illustrated the fundamental building blocks of modern algorithmic trading strategies in practical simplified examples. The examples have been designed to provide you with enough experience and confidence to create and manage your trading algorithms.

Getting Started with Source Code

All the source code for the examples and exercises in this part is available on our GitHub repository. Follow these steps to access and use the code:

  1. Read the instructions: Follow the instructions on how to make the most of the source code at https://github.com/QuantConnect/HandsOnAITradingBook.
  2. Clone the repository: Open your terminal or command prompt and run the following command to clone the repository to your local machine:
     
    git clone https://github.com/QuantConnect/HandsOnAITradingBook.git
     
    
  1. Explore the code: Inside the repository are folders organized by chapters and topics. Each folder contains Jupyter notebooks or Python scripts with detailed code examples and explanations.
  2. Deploy the models on QuantConnect: After you log into your QuantConnect account, head to the Learning Center and clone the source code for the book into the new projects on your account, which will allow you to instantly see the effects of your code changes on the results of the ...
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ISBN: 9781394268436Purchase Link