January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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How it works...
After importing the libraries, we defined lists of possible assets (represented by their tickers), and the technical indicators from which to select.
In Step 3, we defined a function called ta_dashboard, which took as input all parameters we made configurable: asset, technical indicators, range of dates, and indicator-specific parameters. The function itself downloaded historical stock prices from Yahoo Finance and used cufflinks to draw a candlestick chart, as we presented in the Creating a candlestick chart recipe. Then, we added additional indicators to the figure, by using methods such as add_bollinger_bands and providing the required arguments. For a list of all supported technical indicators, please refer to the cufflinks ...
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