Description: Further DetailsTitle: Hands-On Machine Learning for Algorithmic TradingCondition: NewSubtitle: Design and implement investment strategies based on smart algorithms that learn from data using PythonEAN: 9781789346411ISBN: 9781789346411Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 12/31/2018Description: Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsBook Description The 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. This 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. Finally, 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.What you will learnImplement machine learning techniques to solve investment and trading problemsLeverage market, fundamental, and alternative data to research alpha factorsDesign and fine-tune supervised, unsupervised, and reinforcement learning modelsOptimize portfolio risk and performance using pandas, NumPy, and scikit-learnIntegrate machine learning models into a live trading strategy on QuantopianEvaluate strategies using reliable backtesting methodologies for time seriesDesign and evaluate deep neural networks using Keras, PyTorch, and TensorFlowWork with reinforcement learning for trading strategies in the OpenAI GymWho this book is for Hands-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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Stefan JansenGenre: Computing & InternetISBN-10: 178934641XRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Hands-On Machine Learning for Algorithmic Trading
Title: Hands-On Machine Learning for Algorithmic Trading
Subtitle: Design and implement investment strategies based on smart algorit
EAN: 9781789346411
ISBN: 9781789346411
Release Date: 12/31/2018
Release Year: 2018
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 178934641X
Number of Pages: 684 Pages
Language: English
Publication Name: Hands-On Machine Learning for Algorithmic Trading : Design and Implement Investment Strategies Based on Smart Algorithms That Learn from Data Using Python
Publisher: Packt Publishing, The Limited
Publication Year: 2018
Subject: Intelligence (Ai) & Semantics, Neural Networks, Data Processing
Type: Textbook
Author: Stefan Jansen
Item Length: 3.6 in
Subject Area: Computers
Item Width: 3 in
Format: Trade Paperback
