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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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發(fā)表于 2025-3-23 11:42:34 | 只看該作者
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發(fā)表于 2025-3-23 15:41:27 | 只看該作者
,Using FRED? API for Economic Indicators and Data (Example),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).
13#
發(fā)表于 2025-3-23 22:06:36 | 只看該作者
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發(fā)表于 2025-3-24 00:37:50 | 只看該作者
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發(fā)表于 2025-3-24 05:59:17 | 只看該作者
Elements for Technical Analysis Using Python,Technical Analysis is useful for analyzing the behavior of securities based on different plots with the purpose of determining the upward or downward trends. In the present chapter the discussion will center on returns, volumes, candlestick charts, line charts, simple moving average, MACD, RSI and other technical analysis tools.
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發(fā)表于 2025-3-24 10:14:42 | 只看該作者
Valuation and Risk Models with Stocks,One of the most important aspects for the analysis of securities is to analyze its risk models and how to valuate the instrument. In the present chapter aims to explain the importance of risk, the different financial measures for understanding risk in a portfolio of securities and the impact on the returns of a portfolio.
17#
發(fā)表于 2025-3-24 14:26:40 | 只看該作者
Value at Risk, 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.
18#
發(fā)表于 2025-3-24 18:53:47 | 只看該作者
Fl. Bo Pedersen,Carsten Jürgensen With the growth in the easiness for accessing information, Python becomes relevant in creating faster models for analyzing data. The second objective of this chapter is to understand how to install Python, analyzing other aspects for analyzing data with Google Collaboratory without the need of havi
19#
發(fā)表于 2025-3-24 20:24:18 | 只看該作者
Environmental Hydraulics: Stratified Flowster focuses on the understanding of numbers, the use of parenthesis, iterative programming, algebraic operations, managing data and loops. The chapter aims as a result to help the reader in understanding the different processes that Python has for managing data, understanding the importance of each
20#
發(fā)表于 2025-3-25 01:47:19 | 只看該作者
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