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    Standard deviation. A higher SD shows there's a large movement than a lower SD.

    Here's an explanation on what a standard deviation is by sacoPT.

    "Let’s say you are 5 years old and your father is 30. The average between you two is 35/2 =17.5.

    Now let’s say your two cousins are 17 and 18. The average between them is also 17.5.

    As you can see, the average alone doesn’t tell you much about the actual numbers. Enter standard deviation. Your cousins have a 0.5 standard deviation while you and your father have 12.5.

    The standard deviation tells you how close are the values to the average. The lower the standard deviation, the less spread around are the values."

    A ticker is ranked base on the number of mentions for the day.

    Here is an example for Monday

    Ticker Mentions Rank
    GME 200 1
    AMC 150 2
    SPY 100 3
    TSLA 100 3
    • GMS is ranked #1 for the most mentioned.
    • AMC is ranked #2.
    • SPY and TSLA ranked #3 because they both have the same number of mentions.

    Now the tickers are different for Tuesday.

    Example: Tuesday
    Ticker Mentions Rank
    AMC 300 1
    TSLA 200 2
    SPY 100 3
    GME 50 4
    • AMC is ranked #1 for the most mentioned.
    • TSLA is ranked #2.
    • SPY is ranked #3.
    • GME is ranked #4.

    This is where 2d (2 days), 3d (3 days), 5d etc comes in.

    We average the ranks from the past 2 days.

    Example: 2d (2 days)
    Ticker Rank Monday Rank Tuesday 2d Average
    AMC 2 1 1.5
    GME 1 4 2.5
    TSLA 3 2 2.5
    SPY 3 3 3

    The filter allows you to calculate based on which day you want to start on. For today, a 2d average will use today and yesterdays rank. For yesterday, a 2d average will start from yesterday and the day before yesterdays rank.