Chapter 5: Data Visualization Using Matplotlib
Data visualization allows comprehending numerical data significantly more easily than reading pure tables of numbers. Getting instant insight into data and the identification of patterns, trends, and outliers are the primary uses of charting libraries.
When deciding which stock may be suitable for which algorithmic trading strategy, creating a chart of the stock price is the first step – some strategies are suitable only for trending stocks, some for mean-reversion stocks, and so on. While numerical statistics are critical, there is no substitute for a well-designed chart.
This chapter introduces us to Matplotlib, a static, animated, and interactive Python visualization library extending the capabilities ...
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