python data analysis tips anomaly dectection plot Seaborn lineplot scatterplot axhline

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In Python with Seaborn learn how to make an anomaly detection plot. In this example, we use the Google stock price movement in our anomaly detection plot in Seaborn. Stock prices are prone to high volatility and as a portfolio manager, it can be helpful having the ability to detect anomalous movements.

Here we have set up our anomaly detection plot to highlight the Google Stock prices have a percentage change greater or less than 3 standard deviations from the mean.

With the flexibility of Seaborn we will also be can to change the color depending on if the outlier is a high or low side anomaly.

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quick question sir. using seaborn and matplotlib you can predict crypto and stocks prices. does that mean, if someone truly understand or even knowledgeable in this field can be a quant trader?

mandata

python data analysis tips anomaly dectection plot Seaborn lineplot scatterplot axhline

python data analysis tips anomaly dectection plot Seaborn lineplot scatterplot axhline

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