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).
89 lines
1.5 KiB
Plaintext
89 lines
1.5 KiB
Plaintext
Date,Dividends
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2011-11-15,0.11
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2011-12-15,0.065
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2012-01-13,0.067
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2012-02-15,0.066
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2012-03-15,0.074
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2012-04-13,0.064
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2012-05-15,0.062
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2012-06-15,0.064
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2012-07-13,0.064
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2012-08-15,0.064
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2012-09-14,0.062
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2012-10-15,0.066
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2012-11-15,0.067
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2012-12-14,0.068
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2013-01-15,0.069
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2013-02-15,0.067
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2013-03-15,0.065
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2013-04-15,0.068
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2013-05-15,0.071
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2013-06-14,0.072
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2013-07-15,0.072
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2013-08-15,0.073
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2013-09-13,0.062
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2013-10-15,0.063
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2013-11-15,0.06942
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2013-12-13,0.07
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2014-01-15,0.0708
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2014-02-14,0.06925
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2014-03-14,0.0684
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2014-04-15,0.06858
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2014-05-15,0.06725
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2014-06-13,0.06545
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2014-07-15,0.0649
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2014-08-15,0.06467
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2014-09-15,0.0636
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2014-10-15,0.0597
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2014-11-14,0.0698
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2014-12-15,0.0675
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2015-01-15,0.0
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2015-02-13,0.0
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2015-03-13,0.0
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2015-04-15,0.0
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2015-05-15,0.0
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2015-06-15,0.0
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2015-07-15,0.0
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2015-08-14,0.0
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2015-09-15,0.0
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2015-10-15,0.0
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2015-11-13,0.06505
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2015-12-15,0.06159
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2016-01-15,0.06585
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2016-02-12,0.06438
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2016-03-15,0.0666
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2016-04-15,0.06165
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2016-05-13,0.066
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2016-06-15,0.05956
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2016-07-15,0.06538
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2016-08-15,0.06535
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2016-09-15,0.06391
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2016-10-14,0.06745
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2016-11-15,0.06322
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2016-12-15,0.06151
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2017-01-13,0.06172
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2017-02-15,0.066
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2017-03-15,0.066
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2017-04-13,0.071
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2017-05-15,0.069
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2017-06-15,0.065
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2017-07-14,0.068
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2017-08-15,0.075
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2017-09-18,0.084
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2017-10-23,0.072
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2017-11-20,0.073
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2017-12-18,0.066
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2018-01-22,0.074
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2018-02-20,0.071
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2018-03-19,0.077
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2018-04-23,0.078
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2018-05-21,0.076
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2018-06-18,0.073
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2018-07-23,0.075
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2018-08-20,0.078
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2018-09-24,0.08
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2018-10-22,0.081
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2018-11-19,0.074
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2018-12-24,0.093
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2019-01-22,0.079
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