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).
87 lines
1.5 KiB
Plaintext
87 lines
1.5 KiB
Plaintext
Date,Dividends
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2011-04-15,0.074
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2011-05-13,0.076
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2011-06-15,0.077
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2011-07-15,0.076
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2011-08-15,0.083
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2011-09-15,0.086
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2011-10-14,0.116
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2011-11-15,0.103
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2011-12-15,0.116
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2012-01-13,0.1
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2012-02-15,0.101
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2012-03-15,0.101
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2012-04-13,0.107
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2012-05-15,0.105
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2012-06-15,0.1
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2012-07-13,0.104
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2012-08-15,0.091
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2012-09-14,0.091
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2012-10-15,0.103
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2012-11-15,0.1
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2012-12-14,0.098
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2013-01-15,0.106
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2013-02-15,0.1
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2013-03-15,0.096
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2013-04-15,0.095
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2013-05-15,0.092
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2013-06-14,0.09
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2013-07-15,0.09
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2013-08-15,0.09
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2013-09-13,0.083
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2013-10-15,0.083
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2013-11-15,0.08434
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2013-12-13,0.08406
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2014-01-15,0.08409
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2014-02-14,0.08348
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2014-03-14,0.08259
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2014-04-15,0.08025
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2014-05-15,0.08102
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2014-06-13,0.08116
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2014-07-15,0.0822
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2014-08-15,0.0838
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2014-09-15,0.0856
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2014-10-15,0.0886
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2014-11-14,0.08
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2014-12-15,0.0747
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2015-01-15,0.075
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2015-02-13,0.0738
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2015-03-13,0.07304
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2015-04-15,0.07346
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2015-05-15,0.0744
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2015-06-15,0.07537
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2015-07-15,0.07624
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2015-08-14,0.07852
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2015-09-15,0.07964
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2015-10-15,0.08027
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2015-11-13,0.08081
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2015-12-15,0.08248
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2016-01-15,0.0835
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2016-02-12,0.084
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2016-03-15,0.086
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2016-04-15,0.09
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2016-05-13,0.095
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2016-06-15,0.095
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2016-07-15,0.0975
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2016-08-15,0.0975
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2016-09-15,0.0975
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2016-10-14,0.0825
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2016-11-15,0.07106
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2016-12-15,0.08001
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2017-01-13,0.07
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2017-02-15,0.068
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2017-03-15,0.065
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2017-04-13,0.065
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2017-05-15,0.063
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2017-06-15,0.063
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2017-07-14,0.064
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2017-08-15,0.069
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2017-09-18,0.07
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2017-10-23,0.07
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2017-11-20,0.063
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2017-12-18,0.078
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2018-01-22,0.066
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2018-02-20,0.07
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2018-03-19,0.076
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2018-04-23,0.072
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