Hands-on AI trading with Python, QuantConnect and AWS

Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh

"Book Summary: This book is tailored for students, traders, and quants in finance who want to understand modern trading strategies and enhance them with artificial intelligence. It assumes basic knowledge of Python 3.x and familiarity with finance and trading concepts. Goals: AI Overview: Introduces key AI algorithms and best practices in financial trading. Intuitive Learning: Uses real-world examples to explain how algorithms work. Easy Experimentation: Provides a straightforward setup using QuantConnect.com for testing algorithms without complex infrastructure. The book avoids detailed infrastructure setup and large model training, instead using pre-trained models from AWS Bedrock, MLFinLab, or PredictNow.ai, making it accessible for readers to apply AI in trading strategies effectively"--

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Year of publication:	[2025]
Authors:	Pik, Jiri ; Chan, Ernest P. ; Broad, Jared ; Sun, Philip ; Vivek Singh
Publisher:	Hoboken, New Jersey : Wiley
Subject:	Elektronisches Handelssystem \| Electronic trading \| Künstliche Intelligenz \| Artificial intelligence \| Maschinelles Lernen \| Machine learning \| Large Language Model \| Large language model \| Generative künstliche Intelligenz \| Generative artificial intelligence \| Risikomanagement \| Risk management
Description of contents:	Table of Contents [gbv.de]

Extent:	xxvi, 381 Seiten Illustrationen
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes index
ISBN:	978-1-394-26843-6 ; 978-1-394-26767-5 ; 978-1-394-26766-8
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015064290