Greg Pomerantz
3c5bee96ce
Some dump files carry a trailing 'ctime' column: an older pipeline appended a FULL re-download of the symbol per download (up to ~28 vintages per date, 2019-2022). The consumer keeps the last row per date, so it silently used stale (~2021) vintages where Yahoo later revised values. scripts/clean_multivintage.py keeps, per date, the rows from the newest ctime (event files keep distinct same-day amounts; history/split keep the single newest row), drops the ctime column, sorts by date. Applied to the data root and overrides/frozen (which carried the same artifact): 1,065 files, 2,202,712 stale rows dropped. Also: stripped 3 UTF-8 BOMs (teg/lo/krft), refreshed the event backup with the cleaned files, and re-ran the double-listing scan: category C (83 symbols, 18,636 repeated within-file rows) is fully explained by the multi-vintage artifact and is now gone; A (6,589 pairs, corrected) and B (12,366 pairs, open review list) are unchanged. Whole-set structural QC after cleaning: 0 duplicate dates, 3 syms/15 rows of OHLC invariant violations, 15 syms/2,897 rows of non-positive prices (mostly long-delisted tickers), 8 unsorted files (reader sorts).
70 lines
1.1 KiB
Plaintext
70 lines
1.1 KiB
Plaintext
Date,Dividends
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2012-11-30,0.012
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2012-12-31,0.021
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2013-01-31,0.026
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2013-02-28,0.034
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2013-03-28,0.034
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2013-04-30,0.033
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2013-05-31,0.034
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2013-06-28,0.033
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2013-07-31,0.034
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2013-08-30,0.034
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2013-09-30,0.033
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2013-10-31,0.034
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2013-11-29,0.033
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2013-12-11,0.016
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2013-12-31,0.034
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2014-01-31,0.034
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2014-02-28,0.031
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2014-03-31,0.034
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2014-04-30,0.033
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2014-05-30,0.034
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2014-06-30,0.033
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2014-07-31,0.034
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2014-08-29,0.034
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2014-09-30,0.028
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2014-10-31,0.02
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2014-11-28,0.014
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2014-12-29,0.045
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2014-12-31,0.012
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2015-01-30,0.016
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2015-02-27,0.024
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2015-03-31,0.026
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2015-04-30,0.026
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2015-05-29,0.027
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2015-06-30,0.026
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2015-07-31,0.029
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2015-08-31,0.025
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2015-09-30,0.026
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2015-10-30,0.028
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2015-11-30,0.025
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2015-12-29,0.094
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2015-12-31,0.029
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2016-01-29,0.024
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2016-02-29,0.025
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2016-03-31,0.026
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2016-04-29,0.026
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2016-05-31,0.026
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2016-06-30,0.026
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2016-07-29,0.027
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2016-08-31,0.027
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2016-10-31,0.025
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2016-11-30,0.026
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2016-12-28,0.212
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2016-12-30,0.029
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2017-01-31,0.025
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2017-02-28,0.024
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2017-03-31,0.028
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2017-04-28,0.024
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2017-05-31,0.026
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2017-06-30,0.027
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2017-07-31,0.025
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2017-08-31,0.026
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2017-09-29,0.026
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2017-10-31,0.026
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2017-11-30,0.026
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2017-12-27,0.046
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2017-12-29,0.028
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2018-01-31,0.026
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2018-02-28,0.024
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