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| Online-Ressource |
Verfasst von: | Pik, Jiri [VerfasserIn]  |
| Chan, Ernest P. [VerfasserIn]  |
| Broad, Jared [VerfasserIn]  |
| Sun, Philip [VerfasserIn]  |
| Vivek Singh [VerfasserIn]  |
Titel: | Hands-on AI trading with Python, Quantconnect and AWS |
Verf.angabe: | Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh |
Verlagsort: | Hoboken, New Jersey |
Verlag: | John Wiley & Sons Inc. |
E-Jahr: | 2025 |
Jahr: | [2025] |
Umfang: | 1 online resource (xxvi, 381 pages) |
Illustrationen: | color illustrations |
Fussnoten: | Includes bibliographical references and indexes. - Description based on online resource; title from digital title page (viewed on February 13, 2025) |
ISBN: | 978-1-394-26766-8 |
| 1-394-26766-5 |
| 978-1-394-26767-5 |
| 1-394-26767-3 |
| 978-1-394-26843-6 |
Abstract: | "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"-- |
URL: | Aggregator: https://learning.oreilly.com/library/view/-/9781394268436/?ar |
Datenträger: | Online-Ressource |
Sprache: | eng |
Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe |
Sach-SW: | Valeurs mobilières ; Commerce électronique |
| Intelligence artificielle ; Applications financières |
K10plus-PPN: | 1919256350 |
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Lokale URL UB: | Zum Volltext |
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| Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
| Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich |
Bibliothek/Idn: | UW / m4683419831 |
Lokale URL Inst.: | Zum Volltext |
978-1-394-26766-8,1-394-26766-5,978-1-394-26767-5,1-394-26767-3,978-1-394-26843-6
Hands-on AI trading with Python, Quantconnect and AWS / Pik, Jiri [VerfasserIn]; [2025] (Online-Ressource)
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