init

HTS_122630.py

@@ -11,17 +11,21 @@ from hts.OrderChecker import OrderChecker
 
 
 class HTS_122630 (HTS):
-
+    RESOURCE_PATH = None
-    buySellChecker = None
     stock_code = None
     buy_count = None
+    orderChecker = None
+    buySellChecker = None
 
-    def __init__(self, stock_code, buy_count):
+    def __init__(self, RESOURCE_PATH, stock_code, buy_count):
         super().__init__()
 
-        self.buySellChecker = BuySellChecker()
+        self.RESOURCE_PATH = RESOURCE_PATH
         self.stock_code = stock_code
         self.buy_count = buy_count
+
+        self.orderChecker = OrderChecker(self.RESOURCE_PATH, self.stock_code)
+        self.buySellChecker = BuySellChecker()
         return
 
     def checkTransaction(self, data):
@@ -74,9 +78,7 @@ class HTS_122630 (HTS):
         return 0, 0
 
     def buyRealTime(self, lastday, today):
-        orderChecker = OrderChecker(self.stock_code)
+        timecheckList = pd.read_csv("hts/timecheck.csv").values.tolist()
-
-        timecheckList = pd.read_csv("timecheck.csv").values.tolist()
         timecheck = {today + " " + str(second).zfill(6):False for second, check in timecheckList}
 
         print("START...")
@@ -110,7 +112,7 @@ class HTS_122630 (HTS):
                         # 미체결 기록을 가져온다.
                         ORDER_LIST = self.requestOrderList()
                         # 매수 주문을 기록한다.
-                        orderListToCancel = orderChecker.add(self.stock_code, OrderType.buy, orderNum, BUY_COUNT, bs_buy_price, ORDER_LIST)
+                        orderListToCancel = self.orderChecker.add(self.stock_code, OrderType.buy, orderNum, BUY_COUNT, bs_buy_price, ORDER_LIST)
                         # 두 시간 이전 미체결을 모두 취소한다.
                         self.cancelOrderList(orderListToCancel)
                         # 로그 출력
@@ -120,7 +122,7 @@ class HTS_122630 (HTS):
                         # 미체결 기록을 가져온다.
                         ORDER_LIST = self.requestOrderList()
                         # 매도 주문을 기록을 가져온다.
-                        orderListToCancel = orderChecker.remove(self.stock_code, OrderType.sell, ORDER_LIST)
+                        orderListToCancel = self.orderChecker.remove(self.stock_code, OrderType.sell, ORDER_LIST)
                         # 매도 미체결을 모두 취소한다.
                         self.cancelOrderList(orderListToCancel)
 
@@ -181,19 +183,20 @@ if __name__ == "__main__":
 
     today = datetime.today()
 
-    PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))
+    PROJECT_HOME = os.path.join(os.path.dirname(__file__))
-    RESOURCE_DIR = PROJECT_HOME + "/resources/analysis/"+today.strftime("%Y%m%d")
+    RESOURCE_PATH = os.path.join(PROJECT_HOME, "resources")
 
     # KODEX 인버스 * 2
     stock_code = "122630"
     buy_count = 80
 
-    hts = HTS_122630(stock_code, buy_count)
+    hts = HTS_122630(RESOURCE_PATH, stock_code, buy_count)
     today_str = today.strftime('%Y%m%d')
     lastday_str = ""
     for i in range(1, 10):
         lastday_str = (today - timedelta(i)).strftime('%Y%m%d')
-        if os.path.isfile("./data/" + stock_code + "_" + lastday_str + ".csv"):
+        last_hts_data_filename = os.path.join(RESOURCE_PATH, "hts", stock_code + "_" + lastday_str + ".csv")
+        if os.path.isfile(last_hts_data_filename):
             break
 
     hts.buyRealTime(lastday_str, today_str)

HTS_252670.py

@@ -12,16 +12,21 @@ from hts.OrderChecker import OrderChecker
 
 class HTS_252670 (HTS):
 
-    buySellChecker = None
+    RESOURCE_PATH = None
     stock_code = None
     buy_count = None
+    orderChecker = None
+    buySellChecker = None
 
-    def __init__(self, stock_code, buy_count):
+    def __init__(self, RESOURCE_PATH, stock_code, buy_count):
         super().__init__()
 
-        self.buySellChecker = BuySellChecker()
+        self.RESOURCE_PATH = RESOURCE_PATH
         self.stock_code = stock_code
         self.buy_count = buy_count
+
+        self.orderChecker = OrderChecker(self.RESOURCE_PATH, self.stock_code)
+        self.buySellChecker = BuySellChecker()
         return
 
     def checkTransaction(self, data):
@@ -33,7 +38,7 @@ class HTS_252670 (HTS):
         bsLine['sell'] = [-1 for i in range(size)]
 
         last_index = size - 1
-        #buy, weight, sell = self.buySellChecker.getPriceAndWeight3(data, last_index)
+        #buy, weight, sell = self.buySellChecker.getPriceAndWeight3(hts, last_index)
         sell, weight = self.buySellChecker.getSellPriceAndWeight_3000(data, last_index)
         buy, weight = self.buySellChecker.getBuyPriceAndWeight_3000(data, last_index)
         return buy, weight, sell
@@ -74,9 +79,8 @@ class HTS_252670 (HTS):
         return 0, 0
 
     def buyRealTime(self, lastday, today):
-        orderChecker = OrderChecker(self.stock_code)
 
-        timecheckList = pd.read_csv("timecheck.csv").values.tolist()
+        timecheckList = pd.read_csv("hts/timecheck.csv").values.tolist()
         timecheck = {today + " " + str(second).zfill(6):False for second, check in timecheckList}
 
         print ("START...")
@@ -112,7 +116,7 @@ class HTS_252670 (HTS):
                         # 미체결 기록을 가져온다.
                         ORDER_LIST = self.requestOrderList()
                         # 매수 주문을 기록한다.
-                        orderListToCancel = orderChecker.add(self.stock_code, OrderType.buy, orderNum, BUY_COUNT, bs_buy_price, ORDER_LIST)
+                        orderListToCancel = self.orderChecker.add(self.stock_code, OrderType.buy, orderNum, BUY_COUNT, bs_buy_price, ORDER_LIST)
                         # 두 시간 이전 미체결을 모두 취소한다.
                         self.cancelOrderList(orderListToCancel)
                         # 로그 출력
@@ -123,7 +127,7 @@ class HTS_252670 (HTS):
                         # 미체결 기록을 가져온다.
                         ORDER_LIST = self.requestOrderList()
                         # 매도 주문을 기록을 가져온다.
-                        orderListToCancel = orderChecker.remove(self.stock_code, OrderType.sell, ORDER_LIST)
+                        orderListToCancel = self.orderChecker.remove(self.stock_code, OrderType.sell, ORDER_LIST)
                         # 매도 미체결을 모두 취소한다.
                         self.cancelOrderList(orderListToCancel)
 
@@ -183,19 +187,19 @@ if __name__ == "__main__":
 
     today = datetime.today()
 
-    PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))
+    PROJECT_HOME = os.path.join(os.path.dirname(__file__))
-    RESOURCE_DIR = PROJECT_HOME + "/resources/analysis/"+today.strftime("%Y%m%d")
+    RESOURCE_PATH = os.path.join(PROJECT_HOME, "resources")
 
     # KODEX 인버스 * 2
     stock_code = "252670"
     buy_count = 100
 
-    hts = HTS_252670(stock_code, buy_count)
+    hts = HTS_252670(RESOURCE_PATH, stock_code, buy_count)
     today_str = today.strftime('%Y%m%d')
     lastday_str = ""
     for i in range(1, 10):
-        lastday_str = (today - timedelta(i)).strftime('%Y%m%d')
+        last_hts_data_filename = os.path.join(RESOURCE_PATH, "hts", stock_code + "_" + lastday_str + ".csv")
-        if os.path.isfile("./data/" + stock_code + "_" + lastday_str + ".csv"):
+        if os.path.isfile(last_hts_data_filename):
             break
 
     hts.buyRealTime(lastday_str, today_str)

Simulation.py

@@ -26,13 +26,13 @@ class Simulation:
             next(reader)
 
             for rows in reader:
-                days = rows[0] # data.날짜
+                days = rows[0] # hts.날짜
-                time = rows[1] # data.시간
+                time = rows[1] # hts.시간
-                open_v = rows[2] # data.시가
+                open_v = rows[2] # hts.시가
-                high = rows[3] # data.고가
+                high = rows[3] # hts.고가
-                low = rows[4] # data.저가
+                low = rows[4] # hts.저가
-                close = rows[5] # data.종가
+                close = rows[5] # hts.종가
-                vol = rows[6] # data.거래량
+                vol = rows[6] # hts.거래량
                 start_time = datetime.strptime(given_day + " 090000", '%Y%m%d %H%M%S')
 
                 temp = datetime.strptime(str(days) + " " + str(time).zfill(4)+"00", '%Y%m%d %H%M%S')
@@ -99,11 +99,11 @@ class Simulation:
         avg10 = go.Scatter(x=data['date'], y=data["avg10"], name="avg10", line_color='#ff00ff')
         avg20 = go.Scatter(x=data['date'], y=data["avg20"], name="avg20", line_color='#8F8203')
         avg30 = go.Scatter(x=data['date'], y=data["avg30"], name="avg30", line_color='#000000')
-        #avg60 = go.Scatter(x=data['date'], y=data["avg60"], name="avg60", line_color='#008000')
+        #avg60 = go.Scatter(x=hts['date'], y=hts["avg60"], name="avg60", line_color='#008000')
 
         candle_stick = go.Candlestick(x=data['date'], open=data['open'], high=data['high'], low=data['low'], close=data['close'], increasing_line_color='red', decreasing_line_color='blue')
         volume_line = go.Scatter(x=data['date'], y=data["volume"], mode='lines', name='volume')
-        #fast_k_line = go.Scatter(x=data['date'], y=data["fast_k"], mode='lines', name='fast_k')
+        #fast_k_line = go.Scatter(x=hts['date'], y=hts["fast_k"], mode='lines', name='fast_k')
 
         macd_line = go.Scatter(x=data['date'], y=data["macd"], mode='lines', name='macd')
         macd_s_line = go.Scatter(x=data['date'], y=data["macds"], mode='lines', name='macds')
@@ -123,7 +123,7 @@ class Simulation:
 
         # 그래프를 그린다.
         """
-        fig = go.Figure(data=candle_data)
+        fig = go.Figure(hts=candle_data)
         fig.update_layout(title=stock_code + "_" + given_day)
         fig.show()
         """
@@ -165,7 +165,7 @@ class Simulation:
         today = days[1]
 
         if path == None:
-            path = "./hts/data"
+            path = "resources/hts"
 
         # 데이터를 가지고 온다.
         self.getCSV(path + "/" + self.stock_code + "_" + last_day + ".csv", last_day, result)
@@ -193,7 +193,7 @@ if __name__ == "__main__":
             ('20220722', '20220725')
         ],
     }
-    path = './hts/data'
+    path = 'resources/hts'
 
     """
     path = './hts/backup'

StockCrawler.py

@@ -0,0 +1,74 @@
+import os
+import shutil
+import datetime
+import time
+from stock.crawler.FnGuideCrawler import FnGuideCrawler
+from stock.crawler.MetaCrawler import MetaCrawler
+from stock.crawler.StockCrawler import StockCrawler
+from stock.analysis.AnalyzerSqlite import AnalyzerSqlite
+
+today = datetime.datetime.now().strftime("%Y-%m-%d")
+
+# DB Browser for SQLite: http://hleecaster.com/python-sqlite3/
+
+PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))))
+
+START_DATE = "1900.01.01"
+start = time.time()
+stockFileName = PROJECT_HOME + '/resources/stock.db'
+
+
+# 재무제표는 3개월마다 다운로드를 한다.
+fnGuideCrawler = FnGuideCrawler(START_DATE)
+print("[KOSPI 상장기업 재무제표 다운로드]")
+fnGuideCrawler.crawl_fnguide(stockFileName)
+
+metaCrawler = MetaCrawler(START_DATE)
+print("\n[증시자금동향 (신용잔고, 펀드자금 잔고)]")
+metaCrawler.crawl_money_trend(stockFileName)
+
+print("\n[국내 시장금리]")
+metaCrawler.crawl_interest_rates(stockFileName)
+
+print("\n[투자자별 매매동향(Trading_Trend)]")
+metaCrawler.crawl_trading_trend(stockFileName)
+
+print("\n[환율 (USD, JPY, EUR, CNY)]")
+metaCrawler.crawl_exchange(stockFileName)
+
+print("\n[원유 (WTI), 국제금, COPPER, NATURALGAS, CORN, SOYBEAN]")
+metaCrawler.crawl_meterials(stockFileName)
+
+
+print("\n[종목 다운로드]")
+stockCrawler = StockCrawler(START_DATE)
+stockCrawler.crawl_etf_stocks(stockFileName)
+stockCrawler.crawl_stocks(stockFileName)
+#stockCrawler.crawl_special_stocks(stockFileName)
+
+
+print("\n[종목 분석]")
+# S: 분석까지 진행
+inFileName = PROJECT_HOME + '/resources/stock.db'
+analyzerSqlite = AnalyzerSqlite(PROJECT_HOME, stockFileName)
+
+analyzerSqlite.analyzeDaily()
+analyzerSqlite.analyzeGrouping("weekly")
+analyzerSqlite.analyzeGrouping("monthly")
+
+analyzerSqlite = AnalyzerSqlite(PROJECT_HOME, stockFileName)
+print("\n[종목 결정]")
+day = datetime.datetime.today().strftime("%Y%m%d")
+outPath = PROJECT_HOME + "/resources/analysis/" + day
+if os.path.isdir(outPath):
+    shutil.rmtree(outPath)
+os.mkdir(outPath)
+print("print to Html...")
+analyzerSqlite.findCandidate(outPath)
+# E: 분석까지 진행
+
+
+
+print("time : %6.2f 초", (time.time() - start))
+
+print ("done...")

hts/BuySellChecker.py

@@ -37,16 +37,16 @@ class BuySellChecker:
             ### sell 분석 ###
             ################
             # 1. 볼린져밴드 상단이 최고와 종가 사이 아래에 있는 경우 매도한다.
-            #if (data["high"][i] - data["close"][i]) / 2 + data["close"][i] > data["upper"][i]:
+            #if (hts["high"][i] - hts["close"][i]) / 2 + hts["close"][i] > hts["upper"][i]:
-            #    sell = data["high"][i]
+            #    sell = hts["high"][i]
 
             # 2. slow_k가 90이 넘으면 매도한다.
             if data["slow_k"][i] > 90:
                 sell = data["high"][i]
 
-            #if data["slow_k"][i] >= 85:
+            #if hts["slow_k"][i] >= 85:
-            #    if data["slow_d"][i-1] < data["slow_k"][i-1] and data["slow_k"][i] < data["slow_d"][i]:
+            #    if hts["slow_d"][i-1] < hts["slow_k"][i-1] and hts["slow_k"][i] < hts["slow_d"][i]:
-            #        sell = data["high"][i]
+            #        sell = hts["high"][i]
 
             # 3. 2시 이후에는 최고가가 볼린져밴드 상단 위에 있으면 매도한다.
             if i > 300 and data["high"][i] > data["upper"][i]:
@@ -347,45 +347,45 @@ class BuySellChecker:
             """
             # 이동선을 이용한 매매
             # 20분선이 30분선에 돌파 후 지지하는지 확인하고 해당 시점이 양봉이면 매수함
-            if data['avg20'][i] > data['avg30'][i]:
+            if hts['avg20'][i] > hts['avg30'][i]:
-                diff1 = data['avg20'][i] - data['avg30'][i]
+                diff1 = hts['avg20'][i] - hts['avg30'][i]
-                diff2 = data['avg20'][i-1] - data['avg30'][i-1]
+                diff2 = hts['avg20'][i-1] - hts['avg30'][i-1]
-                diff3 = data['avg20'][i-2] - data['avg30'][i-2]
+                diff3 = hts['avg20'][i-2] - hts['avg30'][i-2]
-                diff4 = data['avg20'][i-3] - data['avg30'][i-3]
+                diff4 = hts['avg20'][i-3] - hts['avg30'][i-3]
-                diff5 = data['avg20'][i-4] - data['avg30'][i-4]
+                diff5 = hts['avg20'][i-4] - hts['avg30'][i-4]
                 if 0 < diff3 < diff2 < diff1:
-                    if data['high'][i-2] <= data['high'][i-1] <= data['high'][i]:
+                    if hts['high'][i-2] <= hts['high'][i-1] <= hts['high'][i]:
-                        if data['open'][i - 2] <= data['close'][i - 2] and data['open'][i-1] <= data['close'][i-1] and data['open'][i] <= data['close'][i]:
+                        if hts['open'][i - 2] <= hts['close'][i - 2] and hts['open'][i-1] <= hts['close'][i-1] and hts['open'][i] <= hts['close'][i]:
                             if diff5 < diff4 < 0:
-                                if data["rsi"][i] < 30:
+                                if hts["rsi"][i] < 30:
-                                    buy = (data["open"][i]+data["close"][i])/2
+                                    buy = (hts["open"][i]+hts["close"][i])/2
                                     weight = 7
-                                    return self.getBuyCheck(data, i, buy, weight)
+                                    return self.getBuyCheck(hts, i, buy, weight)
                                     
             # 이동선을 이용한 매매
             # 3분선과 5분선이 10분 이상 내려오다가 3분선이 5분선을 넘어 서는 순간 매수
             # (2022-07-04 09:22) (2022-07-05 09:38) (2022-07-07 09:35) (2022-07-08 09:06) (2022-07-11 09:25) (2022-07-13 10:12) (2022-07-15 14:48)
-            if int(data["avg3"][i]) > int(data["avg5"][i]):
+            if int(hts["avg3"][i]) > int(hts["avg5"][i]):
                 valid = True
                 same_count = 0
                 for c in range(1, 11):
-                    if int(data["avg3"][i-c]) == int(data["avg5"][i-c]):
+                    if int(hts["avg3"][i-c]) == int(hts["avg5"][i-c]):
                         same_count += 1
-                    if int(data["avg3"][i-c]) > int(data["avg5"][i-c]):
+                    if int(hts["avg3"][i-c]) > int(hts["avg5"][i-c]):
                         valid = False
                         break
                 if valid and same_count < 2:
-                    if data['macd'][i] < -5:
+                    if hts['macd'][i] < -5:
-                        buy = data["close"][i] - 5
+                        buy = hts["close"][i] - 5
                         weight = 1
-                        return self.getBuyCheck(data, i, buy, weight)
+                        return self.getBuyCheck(hts, i, buy, weight)
 
             # 만약 30원 이상 장대 양봉이 나온 경우, 다음이나 다다음 중간 값에서 매수를 한다.
-            if (data["close"][i] - data["low"][i]) >= 30:
+            if (hts["close"][i] - hts["low"][i]) >= 30:
-                middle = int((data["close"][i] + data["low"][i])/2)
+                middle = int((hts["close"][i] + hts["low"][i])/2)
                 buy = middle
                 weight = 1
-                return self.getBuyCheck(data, i, buy, weight)
+                return self.getBuyCheck(hts, i, buy, weight)
             """
 
 

hts/HTS.py

@@ -383,7 +383,7 @@ class HTS:
         # 차트 객체 구하기
         objStockChart = win32com.client.Dispatch("CpSysDib.StockChart")
 
-        outfp = open("./data/"+stock_code+"_"+today+".csv", mode="w", encoding="utf-8")
+        outfp = open("./hts/"+stock_code+"_"+today+".csv", mode="w", encoding="utf-8")
         objStockChart.SetInputValue(0, 'A' + stock_code)  # 종목 코드
         objStockChart.SetInputValue(1, ord('1'))  # 1: 기간으로 조회, 2: 개수로 조회
         objStockChart.SetInputValue(2, today)  # 기간 조회 시, 시작일
@@ -436,13 +436,13 @@ class HTS:
             next(reader)
 
             for rows in reader:
-                days = rows[0]  # data.날짜
+                days = rows[0]  # hts.날짜
-                time = rows[1]  # data.시간
+                time = rows[1]  # hts.시간
-                open_v = rows[2]  # data.시가
+                open_v = rows[2]  # hts.시가
-                high = rows[3]  # data.고가
+                high = rows[3]  # hts.고가
-                low = rows[4]  # data.저가
+                low = rows[4]  # hts.저가
-                close = rows[5]  # data.종가
+                close = rows[5]  # hts.종가
-                vol = rows[6]  # data.거래량
+                vol = rows[6]  # hts.거래량
 
                 start_time = datetime.strptime(given_day + " 090000", '%Y%m%d %H%M%S')
 
@@ -468,7 +468,7 @@ class HTS:
                   "low": [],
                   "vol": []}
 
-        self.getCSV("./data/" + stock_code + "_" + lastday + ".csv", today, result)
+        self.getCSV("./hts/" + stock_code + "_" + lastday + ".csv", today, result)
 
         int_given_day = int(today)
         objCpCybos = win32com.client.Dispatch("CpUtil.CpCybos")

hts/OrderChecker.py

@@ -8,7 +8,8 @@ class OrderChecker:
 
     saveFileName = None
 
-    def __init__(self, stock_code):
+    def __init__(self, RESOURCE_PATH, stock_code):
+        self.saveFileName = "./order/" + stock_code + "_" + datetime.today().strftime("%Y%m%d") + ".csv"
         self.saveFileName = "./order/"+stock_code+"_"+datetime.today().strftime("%Y%m%d")+".csv"
         return
 

hts/util/DataDownloader.py

@@ -59,7 +59,7 @@ if __name__ == "__main__":
     today = datetime.today()
 
     PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))
-    RESOURCE_DIR = PROJECT_HOME + "/hits/data"
+    RESOURCE_DIR = PROJECT_HOME + "/hits/hts"
 
     stock_codes = ["252670", "122630"]
     dataDownloader = DataDownloader()

hts/util/WebViewer.py

@@ -1,155 +0,0 @@
-import os
-from datetime import datetime, timedelta
-import pandas as pd
-import plotly.graph_objects as go
-import plotly
-
-from hts.BuySellChecker import BuySellChecker
-
-class WebViewer:
-
-    buySellChecker = None
-
-    def __init__(self):
-        self.buySellChecker = BuySellChecker()
-        return
-
-    def getCSV(self, type, fileName, given_day, result):
-        data = pd.read_csv(fileName)
-
-        days = data.날짜
-        time = data.시간
-        open = data.시가
-        close = data.종가
-        high = data.고가
-        low = data.저가
-        vol = data.거래량
-        start_time = datetime.strptime(given_day + " 090000", '%Y%m%d %H%M%S')
-
-        for i in range(len(data)):
-            if type == "S":
-                temp = datetime.strptime(str(days[i]) + " " + str(time[i]).zfill(4), '%Y%m%d %H%M%S')
-            else:
-                temp = datetime.strptime(str(days[i]) + " " + str(time[i]).zfill(4) + "00", '%Y%m%d %H%M%S')
-            if temp < start_time:
-                continue
-
-            if temp not in result["check"]:
-                result["check"].add(temp)
-                result["time"].append(temp)
-                result["open"].append(open[i])
-                result["close"].append(close[i])
-                result["high"].append(high[i])
-                result["low"].append(low[i])
-                result["vol"].append(vol[i])
-        return
-
-    def checkTransaction(self, data):
-        size = len(data["close"])
-
-        bsLine = {}
-        bsLine['buy'] = [-1 for i in range(size)]
-        bsLine['weight'] = [-1 for i in range(size)]
-        bsLine['sell'] = [-1 for i in range(size)]
-
-        for i in range(6, size-5):
-            if self.stock_code == "252670":
-                buy, weight, sell = self.buySellChecker.getPriceAndWeight1(data, i)
-            else:
-                buy, weight, sell = self.buySellChecker.getPriceAndWeight2(data, i)
-            bsLine['buy'][i] = buy
-            bsLine['weight'][i] = weight
-            bsLine['sell'][i] = sell
-
-        return bsLine
-
-    def draw(self, stock_code, given_day, data):
-
-        data['open'] = pd.to_numeric(data['open'])
-        data['high'] = pd.to_numeric(data['high'])
-        data['low'] = pd.to_numeric(data['low'])
-        data['close'] = pd.to_numeric(data['close'])
-
-
-        # 그래프를 설정한다.
-        bolinger_upper = go.Scatter(x=data['date'], y=data["upper"], name="upper", line_color='#8B4513')
-        bolinger_lower = go.Scatter(x=data['date'], y=data["lower"], name="lower", line_color='#8B4513')
-        candle_stick = go.Candlestick(x=data['date'], open=data['open'], high=data['high'], low=data['low'], close=data['close'], increasing_line_color='red', decreasing_line_color='blue')
-        buy_check = go.Scatter(x=data['date'], mode='markers', name="buy_check")
-        candle_data = [candle_stick, bolinger_upper, bolinger_lower, buy_check]
-
-        # 그래프를 그린다.
-        # mothod #1
-        fig = go.FigureWidget(data=candle_data)
-        fig.update_layout(height=800, title=stock_code + "_" + given_day)
-        fig.show()
-        #plotly.offline.plot(fig, filename='file.html')
-        """ # mothod #2
-        fig = subplots.make_subplots(rows=1, cols=1, subplot_titles=('캔들'))
-        for trace in candle_data:
-            fig.append_trace(trace, 1, 1)
-        fig.update_layout(height=800, title=stock_code + "_" + given_day)
-        fig.show()
-        """
-
-        return
-
-    def simulate(self, stock_code, type, GIVEN_DAY, IN_DIR, OUT_DIR, fileName):
-        result = {"check": set(),
-                  "time": [],
-                  "open": [],
-                  "close": [],
-                  "high": [],
-                  "low": [],
-                  "vol": []}
-
-        # 데이터를 가지고 온다.
-        self.getCSV(type, IN_DIR+"/"+fileName, GIVEN_DAY, result)
-
-        # 분석을 통해서 볼린저밴드 상/하단을 계산한다.
-        data = self.buySellChecker.analyze(result)
-
-        # 그래프를 그린다.
-        self.draw(stock_code, GIVEN_DAY, data)
-
-        return
-
-if __name__ == "__main__":
-
-    PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))
-    RSC_DIR = PROJECT_HOME + "/resources"
-    IN_DIR = RSC_DIR + "/raw"
-    OUT_DIR = RSC_DIR + "/tagging"
-
-    stock_code = "252670"
-    #stock_code = "122630"
-    start_date = "20220602"
-
-    webViewer = WebViewer()
-    zero_count_m, zero_count_S = 0, 10
-    for i in range(100000):
-        given_day = datetime.strptime(start_date, '%Y%m%d') - timedelta(i)
-        given_day = given_day.strftime('%Y%m%d')
-
-        """
-        if zero_count_S < 10:
-            type = "S"
-            fileName = stock_code + "_" + given_day + "_" + type + ".csv"
-            if not os.path.isfile(IN_DIR+"/"+fileName):
-                zero_count_S += 1
-            else:
-                zero_count_S = 0
-                webViewer.simulate(stock_code, type, given_day, IN_DIR, OUT_DIR, fileName)
-        """
-        if zero_count_m < 10:
-            type = "m"
-            fileName = stock_code + "_" + given_day + "_" + type + ".csv"
-            if not os.path.isfile(IN_DIR + "/" + fileName):
-                zero_count_m += 1
-            else:
-                zero_count_m = 0
-                webViewer.simulate(stock_code, type, given_day, IN_DIR, OUT_DIR, fileName)
-
-        if zero_count_m > 10 and zero_count_S >  10:
-            break
-    print ("done...")