Python for Finance: Analyze Big Financial Data

(Elle) #1

tables


compressed, Working with Compressed Tables


working with, Working with Tables


tail risk, Value-at-Risk


technical analysis


backtesting example, Technical Analysis


definition of, Technical Analysis


retrieving time series data, Technical Analysis


testing investment strategy, Technical Analysis


trading signal rules, Technical Analysis


trend strategy, Technical Analysis


technology, role in finance, Technology in Finance–The Rise of Real-Time Analytics


templating, Templating


testing, unit testing, Unit Testing


text


reading/writing text files, Reading and Writing Text Files


representation with strings, Strings


three-dimensional plotting, 3D Plotting


tools, Tools–Spyder


IPython, IPython–System shell commands


Python interpreter, Python


Spyder, Spyder–Spyder


(see also mathematical tools)


traders’ chat room application


basic idea of, Traders’ Chat Room


commenting functionality, Core functionality


connection/log in, Core functionality


data modeling, Data Modeling


database infrastructure, Imports and database preliminaries


importing libraries, The Python Code


security issues, Core functionality


styling, Styling


templating, Templating

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