{"product_id":"hands-on-machine-learning-for-algorithmic-trading-design-and-implement-investment-strategies-based-on-smart-algorithms-that-learn-from-data-using-pyt-9781789346411","title":"Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Pyt","description":"\u003cp\u003e\u003cstrong\u003eExplore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImplement machine learning algorithms to build, train, and validate algorithmic models\u003c\/li\u003e\n\u003cli\u003eCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions\u003c\/li\u003e\n\u003cli\u003eDevelop neural networks for algorithmic trading to perform time series forecasting and smart analytics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eFinally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImplement machine learning techniques to solve investment and trading problems\u003c\/li\u003e\n\u003cli\u003eLeverage market, fundamental, and alternative data to research alpha factors\u003c\/li\u003e\n\u003cli\u003eDesign and fine-tune supervised, unsupervised, and reinforcement learning models\u003c\/li\u003e\n\u003cli\u003eOptimize portfolio risk and performance using pandas, NumPy, and scikit-learn\u003c\/li\u003e\n\u003cli\u003eIntegrate machine learning models into a live trading strategy on Quantopian\u003c\/li\u003e\n\u003cli\u003eEvaluate strategies using reliable backtesting methodologies for time series\u003c\/li\u003e\n\u003cli\u003eDesign and evaluate deep neural networks using Keras, PyTorch, and TensorFlow\u003c\/li\u003e\n\u003cli\u003eWork with reinforcement learning for trading strategies in the OpenAI Gym\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eHands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50363185234194,"sku":"9781789346411","price":60.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_cacfdea0-7987-4f3e-a637-7eb8673d41c9.jpg?v=1728407498","url":"https:\/\/surprise-castle.myshopify.com\/products\/hands-on-machine-learning-for-algorithmic-trading-design-and-implement-investment-strategies-based-on-smart-algorithms-that-learn-from-data-using-pyt-9781789346411","provider":"Surprise Castle","version":"1.0","type":"link"}