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MinSizeKmeans reviews and mentions
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Preliminary Evidence that Retail Trades can be Identified and Counted on the Tape
Sure so basically I scraped the volume from the SEC report figure depicting 'Buy' volume by measuring pixels between ticks on the y axis. I also downloaded all regular session trades for the dates in that figure and after some rounds of data cleaning (ie one hot encoding trade condition data) I ran the trades from the first half through an implementation of kmeans clustering with minimum cluster size constraints set to cluster the trades weighted by volume into 2 groups with minimum weight of the volume scraped from the candle from the SEC report. This clustering takes a long time to run so I've only managed to process that first bar.
Stats
Behrouz-Babaki/MinSizeKmeans is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of MinSizeKmeans is Python.
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