Hands-On AI Trading with Python, QuantConnect, and AWS
Hands-On AI Trading with Python, QuantConnect, and AWS | 27.87 MB
Title: Hands-On AI Trading with Python, QuantConnect, and AWS
Author: Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh
Description:
Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance
Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.
Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.
The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used:
Examples include constructing portfolios with regression models, predicting dividend yields, and...
DOWNLOAD:
https://rapidgator.net/file/aa3d75aceb01a501bb3ede5ad80dba81/Hands-On_AI_Trading_with_Python_QuantConnect_and_AWS.rar
https://nitroflare.com/view/30C448491B1E2B5/Hands-On_AI_Trading_with_Python_QuantConnect_and_AWS.rar
Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance
Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.
Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.
The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used:
DOWNLOAD:
https://rapidgator.net/file/aa3d75aceb01a501bb3ede5ad80dba81/Hands-On_AI_Trading_with_Python_QuantConnect_and_AWS.rar
https://nitroflare.com/view/30C448491B1E2B5/Hands-On_AI_Trading_with_Python_QuantConnect_and_AWS.rar
