init

hts/Simulation.py

@@ -4,6 +4,7 @@ import csv
 import pandas as pd
 import plotly.graph_objects as go
 from plotly import subplots
+from glob import glob
 
 from hts.BuySellChecker import BuySellChecker
 
@@ -164,8 +165,8 @@ class Simulation:
         today = days[1]
 
         # 데이터를 가지고 온다.
-        self.getCSV("./backup/" + self.stock_code + "_" + last_day + ".csv", last_day, result)
+        self.getCSV("./hts/data/" + self.stock_code + "_" + last_day + ".csv", last_day, result)
-        self.getCSV("./backup/" + self.stock_code + "_" + today + ".csv", today, result)
+        self.getCSV("./hts/data/" + self.stock_code + "_" + today + ".csv", today, result)
 
         # 분석을 통해서 볼린저밴드 상/하단을 계산한다.
         data = self.buySellChecker.analyze(result)
@@ -191,7 +192,7 @@ if __name__ == "__main__":
     }
     """
 
-
+    """
     stock_codes = {
         # 252670
         # 122630
@@ -213,7 +214,13 @@ if __name__ == "__main__":
             ('20220707', '20220708')
         ],
     }
+    """
 
+    fileList = glob('./hts/backup/252670_*.csv')
+    fileList = sorted(fileList)
+    stock_codes = {'252670':[]}
+    for i in range(1, 11):
+        stock_codes['252670'].append((fileList[i-1][20:28], fileList[i][20:28]))
 
     for stock_code in stock_codes:
         simulation = Simulation(stock_code)

hts/data/122630_20220706.csv

@@ -1,382 +0,0 @@
-날짜,시간,시가,고가,저가,종가,거래량
-20220706,0901,14245,14265,14155,14165,1106943
-20220706,0902,14160,14165,14110,14120,719421
-20220706,0903,14125,14180,14110,14175,606950
-20220706,0904,14180,14260,14175,14215,1028713
-20220706,0905,14220,14220,14165,14175,501158
-20220706,0906,14175,14230,14145,14145,396905
-20220706,0907,14145,14160,14120,14145,384661
-20220706,0908,14150,14175,14145,14155,256309
-20220706,0909,14150,14155,14120,14135,345988
-20220706,0910,14135,14160,14105,14140,321237
-20220706,0911,14140,14145,14080,14095,795806
-20220706,0912,14095,14120,14085,14095,327811
-20220706,0913,14095,14125,14095,14120,242014
-20220706,0914,14120,14155,14095,14100,268705
-20220706,0915,14095,14115,14080,14095,203217
-20220706,0916,14090,14100,14070,14095,224856
-20220706,0917,14100,14120,14090,14105,232693
-20220706,0918,14105,14115,14080,14090,330545
-20220706,0919,14095,14120,14085,14105,121327
-20220706,0920,14100,14135,14095,14130,185620
-20220706,0921,14125,14145,14110,14125,225375
-20220706,0922,14130,14160,14125,14155,211036
-20220706,0923,14155,14155,14110,14120,220580
-20220706,0924,14120,14130,14090,14095,213039
-20220706,0925,14095,14100,14060,14060,696210
-20220706,0926,14065,14075,14040,14070,300738
-20220706,0927,14070,14090,14055,14085,115684
-20220706,0928,14085,14105,14070,14090,259960
-20220706,0929,14090,14105,14080,14085,82201
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-20220706,0931,14095,14115,14080,14100,121384
-20220706,0932,14105,14125,14105,14115,104418
-20220706,0933,14115,14120,14090,14095,79988
-20220706,0934,14090,14090,14070,14080,109376
-20220706,0935,14080,14100,14080,14085,65861
-20220706,0936,14085,14115,14085,14095,117438
-20220706,0937,14090,14090,14065,14065,169574
-20220706,0938,14065,14065,14055,14060,129440
-20220706,0939,14060,14065,14040,14045,275132
-20220706,0940,14050,14070,14045,14065,93869
-20220706,0941,14060,14070,14045,14045,184331
-20220706,0942,14045,14060,14030,14050,190642
-20220706,0943,14055,14080,14045,14075,180686
-20220706,0944,14075,14110,14075,14100,205818
-20220706,0945,14110,14170,14110,14170,492972
-20220706,0946,14170,14225,14170,14190,513141
-20220706,0947,14190,14235,14185,14235,532263
-20220706,0948,14240,14250,14215,14240,391609
-20220706,0949,14240,14245,14215,14230,232212
-20220706,0950,14230,14235,14205,14220,217713
-20220706,0951,14220,14245,14210,14215,117767
-20220706,0952,14220,14240,14210,14225,103429
-20220706,0953,14230,14265,14230,14250,441779
-20220706,0954,14250,14275,14235,14265,142246
-20220706,0955,14265,14265,14230,14245,110705
-20220706,0956,14245,14265,14240,14245,87212
-20220706,0957,14245,14265,14240,14255,133069
-20220706,0958,14260,14280,14250,14275,196632
-20220706,0959,14275,14285,14255,14275,144871
-20220706,1000,14270,14285,14260,14265,69243
-20220706,1001,14265,14285,14235,14245,133275
-20220706,1002,14245,14260,14225,14230,106861
-20220706,1003,14230,14245,14220,14235,57619
-20220706,1004,14230,14245,14220,14245,69721
-20220706,1005,14245,14260,14240,14255,126830
-20220706,1006,14255,14275,14245,14265,145847
-20220706,1007,14265,14280,14245,14245,83182
-20220706,1008,14245,14245,14230,14240,89267
-20220706,1009,14245,14280,14245,14260,121461
-20220706,1010,14260,14310,14260,14300,172428
-20220706,1011,14305,14310,14290,14300,128258
-20220706,1012,14300,14325,14300,14315,108190
-20220706,1013,14320,14335,14300,14305,143894
-20220706,1014,14305,14310,14285,14295,93455
-20220706,1015,14295,14305,14280,14295,30502
-20220706,1016,14295,14295,14250,14255,113984
-20220706,1017,14250,14280,14240,14270,71697
-20220706,1018,14270,14280,14265,14270,24934
-20220706,1019,14265,14285,14260,14265,72382
-20220706,1020,14265,14270,14250,14260,49216
-20220706,1021,14260,14280,14255,14280,62795
-20220706,1022,14280,14300,14270,14275,64370
-20220706,1023,14280,14280,14255,14270,41928
-20220706,1024,14265,14270,14250,14260,103032
-20220706,1025,14265,14265,14245,14255,90137
-20220706,1026,14250,14255,14220,14230,139088
-20220706,1027,14230,14245,14225,14230,109529
-20220706,1028,14235,14235,14200,14210,174121
-20220706,1029,14210,14210,14185,14195,71522
-20220706,1030,14195,14210,14190,14195,57925
-20220706,1031,14200,14225,14195,14205,66285
-20220706,1032,14205,14230,14205,14230,84052
-20220706,1033,14225,14230,14215,14220,69419
-20220706,1034,14220,14245,14215,14245,68897
-20220706,1035,14245,14245,14210,14215,104839
-20220706,1036,14215,14230,14210,14230,44057
-20220706,1037,14230,14250,14225,14245,34842
-20220706,1038,14240,14240,14210,14210,67198
-20220706,1039,14210,14215,14190,14190,60540
-20220706,1040,14190,14190,14160,14165,207790
-20220706,1041,14165,14185,14160,14175,61754
-20220706,1042,14170,14180,14160,14175,70580
-20220706,1043,14170,14170,14145,14155,218159
-20220706,1044,14160,14160,14125,14130,166801
-20220706,1045,14135,14150,14130,14145,27840
-20220706,1046,14145,14165,14125,14160,79565
-20220706,1047,14165,14175,14155,14160,41221
-20220706,1048,14165,14170,14130,14130,119677
-20220706,1049,14130,14145,14095,14105,436661
-20220706,1050,14105,14110,14095,14095,118366
-20220706,1051,14100,14135,14080,14135,184888
-20220706,1052,14130,14155,14130,14150,58654
-20220706,1053,14150,14160,14145,14155,64183
-20220706,1054,14160,14185,14155,14175,378586
-20220706,1055,14175,14180,14155,14175,51137
-20220706,1056,14175,14180,14160,14175,54910
-20220706,1057,14175,14180,14160,14160,15214
-20220706,1058,14160,14160,14135,14135,56826
-20220706,1059,14135,14145,14130,14140,48062
-20220706,1100,14140,14160,14140,14145,36460
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-20220706,1102,14180,14195,14160,14195,78137
-20220706,1103,14195,14200,14190,14190,92502
-20220706,1104,14195,14195,14175,14195,25551
-20220706,1105,14190,14195,14180,14180,38881
-20220706,1106,14180,14195,14180,14190,45734
-20220706,1107,14185,14190,14170,14185,42361
-20220706,1108,14185,14190,14165,14180,22368
-20220706,1109,14180,14180,14140,14150,52332
-20220706,1110,14155,14165,14155,14165,28931
-20220706,1111,14165,14185,14160,14185,43351
-20220706,1112,14180,14190,14175,14190,25210
-20220706,1113,14190,14190,14170,14170,35253
-20220706,1114,14170,14185,14165,14180,11267
-20220706,1115,14180,14180,14170,14175,12905
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-20220706,1117,14175,14175,14155,14160,23222
-20220706,1118,14160,14160,14135,14140,78535
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-20220706,1120,14120,14135,14120,14135,93087
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-20220706,1128,14170,14180,14170,14175,37868
-20220706,1129,14180,14190,14180,14185,49544
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hts/data/122630_20220707.csv

@@ -1,382 +0,0 @@
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hts/data/122630_20220708.csv

@@ -1,382 +0,0 @@
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