{"title":"Ernest P. Chan","description":"\u003cp\u003eErnest P. Chan specialises in exploring the intersection of finance and technology, offering insightful guides on quantitative trading and algorithmic strategies. His works delve into practical applications of artificial intelligence and machine learning within asset management, providing valuable knowledge for both novice and experienced traders.\u003c\/p\u003e\n\n\u003cp\u003eReaders can expect clear explanations of complex concepts, from developing AI-driven trading models to deploying strategies using modern software and cloud platforms. Chan's books are essential for those seeking to deepen their understanding of algorithmic finance through a hands-on, technical approach.\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"},{"product_id":"hands-on-ai-trading-with-python-quantconnect-and-aws-by-jiri-pik-9781394268436","title":"Hands-On AI Trading with Python, QuantConnect, and AWS","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eMaster the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eHands-On AI Trading with Python, QuantConnect, and AWS\u003c\/i\u003e 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.\u003c\/p\u003e\n\n\u003cp\u003eUnlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilises 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.\u003c\/p\u003e\n\n\u003cp\u003eThe book starts with an overview of financial trading and QuantConnect's platform, organised by AI technology used:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eExamples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.\u003c\/li\u003e\n  \u003cli\u003eUse principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.\u003c\/li\u003e\n  \u003cli\u003ePredict market volatility regimes and allocate funds accordingly.\u003c\/li\u003e\n  \u003cli\u003ePredict daily returns of tech stocks using classifiers.\u003c\/li\u003e\n  \u003cli\u003eForecast Forex pairs' future prices using Support Vector Machines and wavelets.\u003c\/li\u003e\n  \u003cli\u003ePredict trading day momentum or reversion risk using TensorFlow and temporal CNNs.\u003c\/li\u003e\n  \u003cli\u003eApply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.\u003c\/li\u003e\n  \u003cli\u003ePerform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimisation.\u003c\/li\u003e\n  \u003cli\u003eBetter Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.\u003c\/li\u003e\n  \u003cli\u003eAI for Risk Management and Optimisation: Use corrective AI and conditional portfolio optimisation techniques for risk management and capital allocation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWritten by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with \u003ci\u003eHands-On AI Trading with Python, QuantConnect, and AWS\u003c\/i\u003e.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000630329580,"sku":"9781394268436","price":104.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/71OC1jL3V_L._SL1500.jpg?v=1787263482"},{"product_id":"quantitative-trading-by-ernest-p-chan-9781394378043","title":"Quantitative Trading","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003ePraise for \u003ci\u003eQuantitative Trading\u003c\/i\u003e 2nd Edition\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e“Ernie’s timely update to his classic \u003ci\u003eQuantitative Trading\u003c\/i\u003e is extraordinary in that, despite the modernization of the content, all the fundamentals remain unchanged and have clearly stood the test of time since the first edition. If you want to be a competitive swimmer, you need to learn the fundamentals of swimming first. Trading is no different; Ernie makes the fundamentals as simple as possible, but no simpler (as Einstein would say) and strikes the perfect balance between intuition and technical depth. Those specifically interested in trading, and anyone generally interested in understanding how modern financial markets work, will benefit from reading the \u003ci\u003eSecond Edition\u003c\/i\u003e of \u003ci\u003eQuantitative Trading\u003c\/i\u003e.”\u003cbr\u003e\u003cb\u003e—CRAIG BETTS,\u003c\/b\u003e Mathematician and Founder, Solace\u003c\/p\u003e\n\n\u003cp\u003e“As technology has evolved, so has the ease in developing trading strategies. Ernest Chan does all traders, current and prospective, a real service by succinctly outlining the tremendous benefits, but also some of the pitfalls, in utilising many of the recently implemented quantitative trading techniques.”\u003cbr\u003e\u003cb\u003e—PETER BORISH,\u003c\/b\u003e Chairman and CEO, Computer Trading Corporation; Founding Partner, Tudor Investment Corporation\u003c\/p\u003e\n\n\u003cp\u003e“Out of the many books and articles on quantitative trading that I've read over the years, very few have been of much use at all. In most instances, the authors have no real knowledge of the subject matter or do have something important to say but are unwilling to do so because of fears of having trade secrets stolen. Ernie subscribes to a different credo: Share meaningful information and have meaningful interactions with the quantitative community at large. Ernie successfully distils a large amount of detailed and difficult subject matter down to a very clear and comprehensive resource for novice and pro alike.”\u003cbr\u003e\u003cb\u003e—STEVE HALPERN,\u003c\/b\u003e Founder, HCC Capital, LLC\u003c\/p\u003e\n\n\u003cp\u003e“Often the hardest part of getting started is simply knowing what questions to ask. This holds especially true for fields like quantitative trading, which are shrouded in mystery and protected by impenetrable jargon. Readers of this book will not only learn the foundations of research and strategy development, but also gain pragmatic insight into the operational sides of the business. Ernie has written the ideal guide for those looking to go from zero-to-one in their quantitative trading journey.”\u003cbr\u003e\u003cb\u003e—COREY HOFFSTEIN,\u003c\/b\u003e Co-founder and CIO, Newfound Research\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47306927341804,"sku":"9781394378043","price":52.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/12320073482684.jpg?v=1771069744"},{"product_id":"quantitative-trading-by-ernest-p-chan-9781119800064","title":"Quantitative Trading","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eMaster the lucrative discipline of quantitative trading with this insightful handbook from a master in the field.\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eIn the newly revised Second Edition of \u003cem\u003eQuantitative Trading: How to Build Your Own Algorithmic Trading Business,\u003c\/em\u003e quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.\u003c\/p\u003e\n\n\u003cp\u003eYou'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eUpdated back tests on a variety of trading strategies, with included Python and R code examples.\u003c\/li\u003e\n    \u003cli\u003eA new technique on optimising parameters with changing market regimes using machine learning.\u003c\/li\u003e\n    \u003cli\u003eA guide to selecting the best traders and advisors to manage your money.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003ePerfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of \u003cem\u003eQuantitative Trading\u003c\/em\u003e will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47597553156332,"sku":"9781119800064","price":114.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781119800064-quantitative-trading.jpg?v=1777957375"}],"url":"https:\/\/bookhero.pro\/collections\/ernest-p-chan.oembed","provider":"Book Hero","version":"1.0","type":"link"}