Usage:
fundcat.py [-h] [--since SINCE] [--interval_days INTERVAL_DAYS] [--period PERIOD] [--download DOWNLOAD]
Example:
python3 fundcat.py --since 2022-10-01 --interval_days 7 --period 14 --download True
Output:
------------------------------
ID
ID
013072 7
013073 7
004128 6
005293 6
006240 6
006241 6
007040 6
016579 6
168401 6
501005 6
501006 6
740001 6
001411 5
002051 5
002707 5
006603 5
008618 5
008619 5
010434 5
013154 5
014871 5
159748 5
159858 5
163001 5
501201 5
515120 5
516060 5
516080 5
517110 5
000684 4
000711 4
001056 4
001563 4
002152 4
002300 4
002708 4
003230 4
003231 4
005360 4
005970 4
007731 4
007732 4
008285 4
008412 4
008413 4
009893 4
014030 4
014352 4
014353 4
014708 4
------------------------------
GROWTH_RATIO
ID
006603 16.443900
010654 16.295500
007718 15.521767
010500 15.514133
001056 15.431500
005360 15.376125
013920 15.203367
013921 15.183967
014220 15.159750
014221 15.150950
002863 15.074900
005108 14.976967
005293 14.939433
010655 14.930200
005433 14.912367
015171 14.897567
008359 14.878800
013483 14.863333
001965 14.824267
001966 14.817533
010709 14.574633
010710 14.565100
005689 14.204900
010159 14.194867
002300 14.152475
014708 14.045075
014709 14.037700
006274 13.892400
001294 13.832300
010434 13.734180
008618 13.676380
008619 13.671780
002051 13.375480
013072 13.374271
013073 13.364129
001411 13.341680
501005 13.294617
501006 13.285967
006240 13.261733
006241 13.257383
005970 13.114875
000684 13.061075
005844 12.954100
163001 12.943540
013154 12.926800
008412 12.909275
008413 12.901250
159858 12.892820
515120 12.810560
516080 12.807600
------------------------------