f/overrides/event-backup/cugax-dividend.csv
Greg Pomerantz 3c5bee96ce Clean multi-vintage 'ctime' files: 1,065 files, 2.2M stale rows
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).
2026-08-31 22:25:02 -04:00

940 B

1DateDividends
22001-12-070.313
32002-03-280.039
42002-09-300.074
52002-12-310.532
62003-03-310.059
72003-06-300.044
82003-09-300.044
92003-12-310.98
102004-03-310.044
112004-06-300.044
122004-09-300.044
132004-12-310.607
142005-03-310.044
152005-06-300.044
162005-09-300.045
172005-12-280.045
182006-03-300.045
192006-06-280.045
202006-09-270.045
212006-12-270.09
222007-03-300.045
232007-06-290.045
242007-09-280.045
252007-12-310.422
262008-03-310.044
272008-06-300.044
282008-09-300.045
292008-12-310.565
302009-03-310.045
312009-06-300.02
322009-09-180.045
332009-12-180.089
342010-03-190.105
352010-04-300.021
362010-06-180.053
372010-09-170.046
382010-12-170.343
392011-03-180.062
402011-06-170.07
412011-09-160.037
422011-12-200.143
432012-03-160.051
442012-06-150.011
452013-12-200.13
462014-06-130.06
472014-09-120.067
482014-12-220.093
492015-12-180.032
502016-12-220.0
512017-12-210.0
522018-12-200.478
532019-06-140.063
542019-09-130.062
552019-12-200.166
562020-12-220.019