Financial Data Analysis Using Python

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Financial Data Aanalysis Using Python
by Dmytro Zherlitsyn
English | 2024 | ISBN: 1501523864 | 505 pages | True PDF EPUB | 45.61 MB

This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, S[beeep], statsmodels, MatDescriptionlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.
FEATURES
Illustrates financial data analysis using Python data science libraries & techniquesUses Python visualization tools to justify investment and trading strategiesCovers asset pricing & portfolio management methods with Python



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