{"title":"Hamlet Jesse Medina Ruiz","description":"\u003cp\u003eWelcome to the collection of works by the innovative author, \u003cem\u003eHamlet Jesse Medina Ruiz\u003c\/em\u003e. With a focus on the evolving landscape of finance and investment, Hamlet brings a unique perspective to the world of asset management, combining expertise in both traditional financial methodologies and cutting-edge technologies. If you're eager to explore how modern technology intersects with financial strategies, his works offer compelling insights and practical knowledge.\u003c\/p\u003e\n\n\u003cp\u003eAmong his remarkable contributions, the book \u003cstrong\u003eGenerative AI for Trading and Asset Management\u003c\/strong\u003e stands out. This book delves into the revolutionary impact of generative artificial intelligence on trading strategies and asset management. Whether you are a professional in the financial sector or a curious enthusiast looking to deepen your understanding of contemporary finance, Hamlet’s work provides valuable guidance and thought-provoking perspectives.\u003c\/p\u003e\n\n\u003cp\u003eHamlet Jesse Medina Ruiz’s books serve as an essential resource for anyone interested in the future of finance and investment, making complex concepts accessible and engaging for readers from all walks of life.\u003c\/p\u003e","products":[{"product_id":"generative-ai-for-trading-and-asset-management-by-hamlet-medina-9781394266975","title":"Generative AI for Trading and Asset Management","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eExpert guide on using AI to supercharge traders' productivity, optimise portfolios, and suggest new trading strategies.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eGenerative AI for Trading and Asset Management\u003c\/i\u003e is an essential guide to understanding how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading. Its ability to analyse vast datasets, identify intricate patterns, and suggest complex trading strategies makes it indispensable. Practically, this book explains how to utilise various types of AI: unsupervised learning, supervised learning, reinforcement learning, and large language models, to suggest new trading strategies, manage risks, optimise trading strategies and portfolios, and generally improve the productivity of algorithmic and discretionary traders alike. These techniques converge into an algorithm to trade on the Federal Reserve chair's press conferences in real time.\u003c\/p\u003e\n\n\u003cp\u003eWritten by Hamlet Medina, chief data scientist at Criteo, and Ernie Chan, founder of QTS Capital Management and Predictnow.ai, this book explores topics including:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eHow large language models and other machine learning techniques can improve the productivity of algorithmic and discretionary traders, from ideation, signal generations, backtesting, risk management, to portfolio optimisation.\u003c\/li\u003e\n  \u003cli\u003eThe pros and cons of tree-based models versus neural networks as they relate to financial applications, and how regularisation techniques can enhance out-of-sample performance.\u003c\/li\u003e\n  \u003cli\u003eComprehensive exploration of the main families of explicit and implicit generative models for modelling high-dimensional data, including their advantages and limitations in model representation and training, sampling quality and speed, and representation learning.\u003c\/li\u003e\n  \u003cli\u003eTechniques for combining and utilising generative models to address data scarcity and enhance data augmentation for training ML models in financial applications like market simulations, sentiment analysis, risk management, and more.\u003c\/li\u003e\n  \u003cli\u003eApplication of generative AI models for processing fundamental data to develop trading signals.\u003c\/li\u003e\n  \u003cli\u003eExploration of efficient methods for deploying large models into production, highlighting techniques and strategies to enhance inference efficiency, such as model pruning, quantisation, and knowledge distillation.\u003c\/li\u003e\n  \u003cli\u003eUsing existing LLMs to translate Federal Reserve Chair's speeches to text and generate trading signals.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003ci\u003eGenerative AI for Trading and Asset Management\u003c\/i\u003e earns a well-deserved spot on the bookshelves of all asset managers seeking to harness the ever-changing landscape of AI technologies to navigate financial markets.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"John Wiley and Sons Ltd","offers":[{"title":"Default Title","offer_id":47000626462956,"sku":"9781394266975","price":104.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/11209393482684.jpg?v=1763290890"}],"url":"https:\/\/bookhero.pro\/collections\/hamlet-jesse-medina-ruiz.oembed","provider":"Book Hero","version":"1.0","type":"link"}