{"title":"Jared Board","description":"\u003cp\u003eWelcome to the Jared Board collection, where finance meets technology in a revolutionary way. Jared Board is a notable author whose works seamlessly blend the worlds of AI, Python, and trading, offering readers invaluable insights into the intricate workings of modern financial markets. With a keen focus on practical application, his books are essential for anyone looking to elevate their understanding of finance and investment strategies.\u003c\/p\u003e\n\n\u003cp\u003eAmong the highlights of this collection is \u003cem\u003eHands-On AI Trading with Python\u003c\/em\u003e, a comprehensive guide that empowers readers to leverage artificial intelligence in crafting sophisticated trading algorithms. Whether you are a novice or an experienced trader, this book serves as a vital resource to enhance your trading skills through AI.\u003c\/p\u003e\n\n\u003cp\u003eAnother notable work is \u003cem\u003eQuantConnect\u003c\/em\u003e, which delves into the exciting world of algorithmic trading using real-time data. Jared Board expertly navigates the complexities of financial modelling and analysis, making it accessible to both enthusiasts and seasoned professionals.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eAWS\u003c\/em\u003e, part of this impressive collection, explores the power of Amazon Web Services in building scalable financial applications. This book provides a step-by-step approach to integrating AWS tools in crafting and deploying your own financial models in the cloud.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're pursuing a career in finance or simply eager to understand more about the investment landscape, Jared Board's books are a perfect blend of theory and hands-on practice. Dive into this collection and transform the way you approach finance and technology!\u003c\/p\u003e","products":[{"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"}],"url":"https:\/\/bookhero.pro\/collections\/jared-board.oembed","provider":"Book Hero","version":"1.0","type":"link"}