Financial Data Analysis Using Python
This book will introduce essential concepts in financial analysis methods and 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...
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| 主要作者: | |
|---|---|
| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
Boston, MA :
Mercury Learning and Information
2024.
Paris : Cyberlibris |
| 在線閱讀: | Accès Université d'Orléans et IFPM |
| 提示: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781501521843.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Financial Data Analysis Using Python, Dmytro Zherlitsyn, Boston, MA, Mercury Learning and Information, 2024, 1 vol. (504 p.), 978-15-0152-386-1 |
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| 020 | |a 9781501521843 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Zherlitsyn, Dmytro. | |
| 245 | 1 | 0 | |a Financial Data Analysis Using Python |c Dmytro Zherlitsyn. |
| 260 | |a Boston, MA : |b Mercury Learning and Information. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2024. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781501521843.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a This book will introduce essential concepts in financial analysis methods and 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, SciPy, statsmodels, Matplotlib, 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 and techniques; Uses Python visualization tools to justify investment and trading strategies; Covers asset pricing and portfolio management methods with Python | ||
| 776 | 0 | |t Financial Data Analysis Using Python |f Dmytro Zherlitsyn |c Boston, MA |n Mercury Learning and Information |d 2024 |p 1 vol. (504 p.) |z 978-15-0152-386-1 | |
| 856 | 4 | |5 452349901:873721845 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88961696 |z Accès Université d'Orléans et IFPM | |
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