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).
39 lines
639 B
Plaintext
39 lines
639 B
Plaintext
Date,Dividends
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2014-01-30,0.01
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2014-02-27,0.01
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2014-03-28,0.016
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2014-04-29,0.025
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2014-05-29,0.021
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2014-06-27,0.016
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2014-07-30,0.016
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2014-08-28,0.012
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2014-09-29,0.008
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2014-10-30,0.012
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2014-11-26,0.011
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2014-12-05,0.4
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2014-12-30,0.012
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2015-01-29,0.011
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2015-02-26,0.009
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2015-03-30,0.004
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2015-04-29,0.007
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2015-05-28,0.011
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2015-06-29,0.012
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2015-07-30,0.015
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2015-08-28,0.01
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2015-09-29,0.004
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2015-10-29,0.007
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2015-11-27,0.006
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2015-12-04,0.359
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2015-12-30,0.005
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2016-01-26,0.006
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2016-02-24,0.006
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2016-03-28,0.005
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2016-04-26,0.007
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2016-05-25,0.011
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2016-06-27,0.012
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2016-07-26,0.013
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2016-08-26,0.011
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2016-09-27,0.005
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2016-10-26,0.006
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2016-11-25,0.007
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