High-Performance Algorithmic Trading Using AI : Strategies and insights for developing cutting-edge trading algorithms
Description: High-Performance Algorithmic Trading using AI is a comprehensive guide designed to empower both beginners and experienced professionals in the finance industry. This book equips you with the knowledge and tools to build sophisticated, high-performance trading systems. It starts with bas...
Uloženo v:
| Hlavní autor: | |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New Delhi :
BPB Publications
2024.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365895872.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • High-Performance Algorithmic Trading Using AI, Strategies and insights for developing cutting-edge trading algorithms, Melick R. Baranasooriya, New Delhi, BPB Publications, 2024, 1 vol. (450 p.), 978-93-6589-587-2 |
| Shrnutí: | Description: High-Performance Algorithmic Trading using AI is a comprehensive guide designed to empower both beginners and experienced professionals in the finance industry. This book equips you with the knowledge and tools to build sophisticated, high-performance trading systems. It starts with basics like data preprocessing, feature engineering, and ML. Then, it moves to advanced topics, such as strategy development, backtesting, platform integration using Python for financial modeling, and the implementation of AI models on trading platforms. Each chapter is crafted to equip readers with actionable skills, ranging from extracting insights from vast datasets to developing and optimizing trading algorithms using Python's extensive libraries. It includes real-world case studies and advanced techniques like deep learning and reinforcement learning. The book wraps up with future trends, challenges, and opportunities in algorithmic trading.Become a proficient algorithmic trader capable of designing, developing, and deploying profitable trading systems. It not only provides theoretical knowledge but also emphasizes hands-on practice and real-world applications, ensuring you can confidently navigate and leverage AI in your trading strategies. Key Features: Master AI and ML techniques to enhance algorithmic trading strategies. Hands-on Python tutorials for developing and optimizing trading algorithms. Real-world case studies showcasing AI applications in diverse trading scenarios. What you will learn: Develop AI-powered trading algorithms for enhanced decision-making and profitability. Utilize Python tools and libraries for financial modeling and analysis. Extract actionable insights from large datasets for informed trading decisions. Implement and optimize AI models within popular trading platforms. Apply risk management strategies to safeguard and optimize investments. Understand emerging technologies like quantum computing and blockchain in finance. Who this book is for: This book is for financial professionals, analysts, traders, and tech enthusiasts with a basic understanding of finance and programming |
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| Popis jednotky: | Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365895872.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Přístup: | L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris |