Lewinson, Eryk

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis

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ISBN 13:
9781789618518
author:
Lewinson, Eryk
format:
Paperback
publisher:
Packt Publishing Limited
language:
English
Publication Year:
2020
Pages:
432
Dimensions:
23.5 x 19.1 x 2.2 centimetres (0
Genre:
Computers, Programming, Python,
Condition:
New
Availability:
Item usually sent within 20 working days
£37.15

Description

Mastering financial data analysis with Python is made easy with this comprehensive cookbook. By applying modern Python libraries such as NumPy, SciPy, and pandas, you'll be able to tackle common and not-so-common financial problems.

This book covers a wide range of topics, from downloading and preparing financial data for modeling, to calculating popular indicators used in technical analysis and backtesting automatic trading strategies. You'll also explore time series analysis and models, including exponential smoothing, ARIMA, and GARCH, as well as optimizing asset allocation and using Monte Carlo simulations.

By the end of this book, you'll have gained practical skills to analyze financial data using a recipe-based approach, covering topics such as credit card fraud detection, default prediction, and deep learning with PyTorch. With over 50 recipes to get you started, you'll be equipped to tackle a variety of financial challenges.

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