Titlebook: Applied Quantitative Finance; Using Python for Fin Mauricio Garita Book 2021 The Editor(s) (if applicable) and The Author(s) 2021 Python.Qu

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書目名稱Applied Quantitative Finance影響因子(影響力)




書目名稱Applied Quantitative Finance影響因子(影響力)學(xué)科排名




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書目名稱Applied Quantitative Finance網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Quantitative Finance被引頻次




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書目名稱Applied Quantitative Finance年度引用




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書目名稱Applied Quantitative Finance讀者反饋學(xué)科排名

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N. H. Seemayer,W. Hadnagy,R. Tomingas Risk (VaR) to determine the possible loss or gain of a portfolio. This chapter is based on an investor view and the process for executing decisions that create profitable portfolios in the short and long run.

Incorporate

Mauricio GaritaProvides conceptual knowledge on quantitative finance and a theoretical background prior to the application of Python.Offers a hands-on experience of implementing and using Python.Focuses on advanced

exquisite

glisten

What is environmental hydrology?,There are different application programming interfaces (API) for accessing data directly from the web and one of the most important for economic and financial analysis is the Federal Reserve of Saint Lois (FRED).

Goblet-Cells

Water Science and Technology LibraryThe present chapter aims to demonstrate the different access to data concerning securities and the packages that are useful to analyze the data. The book emphasizes Yahoo Finance API, but it explains various API’s that are accessible for analyzing the data. The packages are explained and applied to the data.

Brittle

https://doi.org/10.1007/978-3-642-73766-4Statistical Methods are part of the tools for analyzing securities. The following chapter explains the central limit theorem, returns, ranges, boxplots, histograms and other sets of statistical measures for the analysis of securities using Yahoo Finance API.

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