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| https://notebookarchive.org/wsc19-classifying-stocks-by-their-return-fingerprints--2019-07-5kbmexv/ |
| Thanks for a fascinating post! I am a rank Wolfram Alpha newbie and would never thought to apply Wolfram in this way. Plenty of things in your post to learn and to try. |
| ![enter image description here][1] - Congratulations! This post is now featured in our [Staff Pick][2] column as distinguished by a badge on your profile of a [Featured Contributor][3]! Thank you, keep it coming, and consider contributing your work... |
| Sure I can. And actually, I include the complete codes above, omitting nothing. My notebook is literally the same as the post, line by line. |
| I am adding four usually requested options for .GIF, so that everything is in one post: the number of repetitions, the pause between each repetition, the animation time, and the direction of the animation. frame[t_] := Show[ ... |
| Thank you so much, Mr. Mads! I totally agree with publishing my function for WFR, I'll submit it soon! |
| # Abstract Stock markets are volatile environments in which there is wild fluctuation. This project explores the notion of "anomaly" within the market. Stock returns for the Dow Jones Industrial Average and its components are aggregated as a... |
| ![enter image description here][1] - Congratulations! This post is now featured in our [Staff Pick][2] column as distinguished by a badge on your profile of a [Featured Contributor][3]! Thank you, keep it coming, and consider contributing your work... |