diff --git a/website/content/terminal/guides/intros/common/qa.md b/website/content/terminal/guides/intros/common/qa.md index 1ddf7f4c9ca..ce1c53be71e 100644 --- a/website/content/terminal/guides/intros/common/qa.md +++ b/website/content/terminal/guides/intros/common/qa.md @@ -12,14 +12,12 @@ The Quantitative Analysis menu is a common menu to three asset classes: - Forex - Stocks -The Quantitative Analysis menu +image ### How to use Enter the menu, through one of the asset classes listed above, by entering `qa` in the Terminal. The ticker that is loaded before entering the menu will determine the timeframe for the analysis. To alter it, use the `load` function and pick a new `--start` and `--end` for the observation window. The QA functions target a specified column of the data. By default, this is returns. Use the `pick` command to chose a new target column. -Picking a new target column - The menu is divided into five categories of functions: - Statistics @@ -28,41 +26,73 @@ The menu is divided into five categories of functions: - Risk - Other -A summary of exportable statistics is displayed with the command, `summary`. The example here shows $APPL. +A summary of exportable statistics is displayed with the command, `summary`. The example here shows AAPL. -QA summary for Apple +``` +(๐Ÿฆ‹) /stocks/qa/ $ summary -A simple line chart for the target column as a time-series is called with the `line` command. + Summary Statistics +โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“ +โ”ƒ โ”ƒ open โ”ƒ high โ”ƒ low โ”ƒ close โ”ƒ adjclose โ”ƒ volume โ”ƒ dividends โ”ƒ stock splits โ”ƒ returns โ”ƒ logret โ”ƒ logprice โ”ƒ +โ”กโ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ +โ”‚ count โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ 758.000 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ mean โ”‚ 131.385 โ”‚ 133.089 โ”‚ 129.757 โ”‚ 131.491 โ”‚ 131.491 โ”‚ 109761415.963 โ”‚ 0.003 โ”‚ 0.005 โ”‚ 0.001 โ”‚ 0.001 โ”‚ 4.849 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ std โ”‚ 29.088 โ”‚ 29.309 โ”‚ 28.833 โ”‚ 29.086 โ”‚ 29.086 โ”‚ 56077677.683 โ”‚ 0.027 โ”‚ 0.145 โ”‚ 0.023 โ”‚ 0.023 โ”‚ 0.258 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ min โ”‚ 55.908 โ”‚ 56.011 โ”‚ 52.116 โ”‚ 54.999 โ”‚ 54.999 โ”‚ 35195900.000 โ”‚ 0.000 โ”‚ 0.000 โ”‚ -0.129 โ”‚ -0.138 โ”‚ 4.007 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ 10% โ”‚ 79.502 โ”‚ 80.013 โ”‚ 79.051 โ”‚ 79.648 โ”‚ 79.648 โ”‚ 63139770.000 โ”‚ 0.000 โ”‚ 0.000 โ”‚ -0.026 โ”‚ -0.026 โ”‚ 4.378 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ 25% โ”‚ 118.253 โ”‚ 119.721 โ”‚ 116.983 โ”‚ 118.555 โ”‚ 118.555 โ”‚ 74846950.000 โ”‚ 0.000 โ”‚ 0.000 โ”‚ -0.011 โ”‚ -0.011 โ”‚ 4.775 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ 50% โ”‚ 136.551 โ”‚ 138.402 โ”‚ 134.433 โ”‚ 136.614 โ”‚ 136.614 โ”‚ 91962650.000 โ”‚ 0.000 โ”‚ 0.000 โ”‚ 0.001 โ”‚ 0.001 โ”‚ 4.917 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ 75% โ”‚ 149.976 โ”‚ 151.796 โ”‚ 148.598 โ”‚ 150.446 โ”‚ 150.446 โ”‚ 124897575.000 โ”‚ 0.000 โ”‚ 0.000 โ”‚ 0.014 โ”‚ 0.014 โ”‚ 5.014 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ 90% โ”‚ 166.432 โ”‚ 168.413 โ”‚ 164.183 โ”‚ 165.460 โ”‚ 165.460 โ”‚ 177115490.000 โ”‚ 0.000 โ”‚ 0.000 โ”‚ 0.026 โ”‚ 0.026 โ”‚ 5.109 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ max โ”‚ 181.299 โ”‚ 181.607 โ”‚ 177.815 โ”‚ 180.684 โ”‚ 180.684 โ”‚ 426510000.000 โ”‚ 0.230 โ”‚ 4.000 โ”‚ 0.120 โ”‚ 0.113 โ”‚ 5.197 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ var โ”‚ 846.131 โ”‚ 858.993 โ”‚ 831.359 โ”‚ 845.978 โ”‚ 845.978 โ”‚ 3144705934370881.500 โ”‚ 0.001 โ”‚ 0.021 โ”‚ 0.001 โ”‚ 0.001 โ”‚ 0.067 โ”‚ +โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ +``` -![Line chart of Apple highs over time](https://user-images.githubusercontent.com/85772166/183483733-043f9c21-c408-4526-8c39-16937a05d46a.png) +A simple line chart for the target column as a time-series is called with the `line` command, for example the `returns` column. + +![Line Apple](https://user-images.githubusercontent.com/46355364/218976712-2d9c14ce-c89f-484d-81ca-a8f5d1ef6d7b.png) Optional arguments to this command allows the user to draw and annotate on the chart. ``` -2022 Aug 08, 12:14 /stocks/qa/ $ line -h usage: line [--log] [-d] [--ml ML] -[--ms MS] [-h] [--export EXPORT] +(๐Ÿฆ‹) /stocks/qa/ $ line -h + +usage: line [--log] [--ml ML] [--ms MS] [-h] [--export EXPORT] Show line plot of selected data or highlight specific datetimes. -options: --log Plot with y on log scale (default: False) --ml ML Draw vertical -line markers to highlight certain events (default: ) --ms MS Draw scatter -markers to highlight certain events (default: ) -h, --help show this help -message (default: False) --export EXPORT Export figure into png, jpg, pdf, svg -(default: ) +optional arguments: + --log Plot with y on log scale (default: False) + --ml ML Draw vertical line markers to highlight certain events (default: ) + --ms MS Draw scatter markers to highlight certain events (default: ) + -h, --help show this help message (default: False) + --export EXPORT Export figure into png, jpg, pdf, svg (default: ) For more information and examples, use 'about line' to access the related guide. + +(๐Ÿฆ‹) /stocks/qa/ $ + 2022 Aug 08, 12:20 /stocks/qa/ $ pick high Compare the beta between the loaded asset and another, using the `-r` flag to deviate from the defaulted comparison, $SPY. -2022 Aug 08, 12:34 /stocks/qa/ $ beta -r MSFT - -Loading Daily MSFT stock with starting period 2019-08-05 for analysis. +(๐Ÿฆ‹) /stocks/qa/ $ beta -r MSFT ``` -Beta of $AAPL relative to $MSFT +![Beta](https://user-images.githubusercontent.com/46355364/218977134-52b00eec-a7f5-4dc9-ba62-343d0b546d30.png) Most outputs are equipped with an `--export` flag, allowing the user to save the tables as a CSV, JSON, or XLSX file. The exports can then be imported into other menus like Econometrics. Additional information on each specific command is displayed by attaching `-h` to it. @@ -71,13 +101,13 @@ Most outputs are equipped with an `--export` flag, allowing the user to save the Box and Whisker plots for monthly and yearly scales: ``` -2022 Aug 08, 12:47 /stocks/qa/ $ bw +(๐Ÿฆ‹) /stocks/qa/$ bw ``` ![Monthly box and whisker plot for Apple](https://user-images.githubusercontent.com/85772166/183483965-a6c2d076-4896-47ec-a314-fc6a574ad8de.png) ``` -2022 Aug 08, 12:47 /stocks/qa/ $ bw -y +(๐Ÿฆ‹) /stocks/qa/ $ bw -y ``` ![Yearly box and whisker plot for Apple](https://user-images.githubusercontent.com/85772166/183484096-73eadd0c-1618-4e95-a27b-79e81cd6afad.png) @@ -85,9 +115,9 @@ Box and Whisker plots for monthly and yearly scales: Pick `logret` for rate of change to the returns of the asset: ``` -2022 Aug 08, 12:47 /stocks/qa/ $ pick logret +(๐Ÿฆ‹) /stocks/qa/ $ pick logret -2022 Aug 08, 12:51 /stocks/qa/ $ bw -y +(๐Ÿฆ‹) /stocks/qa/ $ bw -y ``` ![Yearly rate of change on returns from Apple](https://user-images.githubusercontent.com/85772166/183484172-5c001e9d-911c-44cd-848c-9ae5ec13dbc2.png)