init

Simulation.py

@@ -290,9 +290,8 @@ if __name__ == "__main__":
     PROJECT_HOME = os.getcwd()
     RESOURCE_PATH = os.path.join(PROJECT_HOME, "resources")
 
-    day_list = ['20231016', '20231017', '20231018', '20231019', '20231020',
+    #day_list = ['20231016', '20231017', '20231018', '20231019', '20231020', '20231023', '20231024', '20231025', '20231026', '20231027', '20231030', '20231031', '20231101', '20231102']
-                '20231023', '20231024', '20231025', '20231026', '20231027',
+    day_list = ['20231102']
-                '20231030', '20231031', '20231101', '20231102']
 
     # to check bying
     stock = {'code': '252670', 'name': 'KODEX 200선물인버스2X', 'ymd': day_list}

hts/BuySellChecker_122630.py

@@ -7,53 +7,78 @@ class BuySellChecker_122630 (BuySellChecker):
         return
 
     def getBuyPriceAndWeight(self, stock_code, i, data, INFO):
-        buy, weight = -1, -1
+        buy, weight, type = -1, -1, ""
 
-        C_MIN_AVG_5_200 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i])
+        """
-        C_MIN_AVG_5_60 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i])
+        #매수전략 #0: 기준선 위에서 골든크로스
-
+        if (0 < data['macd'][i] and 0 < data['macds'][i]):
-        MIN_AVG_5_200 = 0.002
+            if (data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]):
-        MIN_AVG_5_60 = 0.002
+                canBuy = False
-        DIFF_200_5 = 0.001
+                for c in range(1, 11):
-
+                    if data['macd'][i - c] < 0:
-        if (abs(data['disparity_avg200'][i] - data['disparity_avg5'][i]) < DIFF_200_5 and C_MIN_AVG_5_200 < MIN_AVG_5_200 and C_MIN_AVG_5_60 < MIN_AVG_5_60):
+                        canBuy = True
-            if data['avg200'][i] < data['avg5'][i]:
+                        break
-                if 180 < i:
+                if canBuy:
-                    valid = True
-                    for c in range(5, 181):
-                        if data['avg200'][-c] < data['avg200'][-c]:
-                            valid = False
-                            break
-                    if valid:
-                        if max(data['volume'].tolist()[i-10:i]) < data['volume'][i]:
-                            buy = data['close'][i]
-                            weight = 1
-                        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]:
-                            buy = data['close'][i]
-                            weight = 1
-
-            if data['macd'][i-1] < -1000:
-                if -1000 < data['macd'][i]:
-                    buy = data['close'][i]
                     weight = 1
+                    buy = data['close'][i]
+                    type = 'method0'
+        """
+
+        # 매수전략 #1: 깊은 하락
+        if (data['macd'][i]<-1000) and (data['macdo'][i-1] <= 0 and 0 < data['macdo'][i]):
+            if data['close'][i] < data['avg200'][i]:
+                weight = 0.5
+                buy = data['close'][i]
+                type = 'method1'
+
+
+        # 매수전략 #2: RSI 과매도 이후 골든크로스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            for c in range(1, 11):
+                if data['rsi'][i-c] < 10:
+                    canBuy = True
+                    break
+            if canBuy:
+                weight = 3
+                buy = data['close'][i]
+                type = 'method2'
+
+
+        # 매수전략 #3: 다이버전스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            index = 0
+            for c in range(1, 41):
+                if data['macd'][i-c-1] < data['macds'][i-c-1] and data['macds'][i-c] < data['macd'][i-c]:
+                    canBuy = True
+                    index = c
+                    break
+            if canBuy and data['rsi'][i-index] < 30:
+                if (data['macd'][i-index] < data['macd'][i] and
+                    min(data['open'][i], data['close'][i]) < min(data['open'][i-index], data['close'][i-index])):
+                    weight = 2
+                    buy = data['close'][i]
+                    type = 'method3'
 
         return buy, weight
 
-    def checkTransaction(self, stock_code, data, INFO, isRealTime=True):
+    def getSellPriceAndWeight(self, stock_code, i, data, INFO):
-        sell, weight = -1, -1
+        sell, weight, type = -1, -1, ""
 
-        if data['close'][i] < INFO['LIMIT_PRICE'] < data['close'][i-1]:
+        # 매수전략 #1: 높은 상승
-            sell = data['close'][i]
+        if (350 < data['macd'][i] or 300 < data['macds'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
-            weight = 1
-
-        if (650 < data['macd'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
             #if data['macds'][i-1] < data['macd'][i-1] and data['macd'][i] < data['macds'][i]:
             weight = 1
             sell = data['close'][i]
+            type = 'method1'
 
-        if data['close'][i] < INFO['LIMIT_PRICE']:
+        # 매수전략 #2: RSI 과매수에서 데드크로스
-            weight = 1
+        if (data['macds'][i - 1] < data['macd'][i - 1] and data['macd'][i] < data['macds'][i]):
-            sell = data['close'][i]
+            if 80 < data['rsi'][i]:
+                weight = 1
+                sell = data['close'][i]
+                type = 'method2'
 
         return sell, weight
 

hts/BuySellChecker_233740.py

@@ -7,57 +7,81 @@ class BuySellChecker_233740 (BuySellChecker):
         return
 
     def getBuyPriceAndWeight(self, stock_code, i, data, INFO):
-        buy, weight = -1, -1
+        buy, weight, type = -1, -1, ""
 
-        C_MIN_AVG_5_200 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i])
+        """
-        C_MIN_AVG_5_60 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i])
+        #매수전략 #0: 기준선 위에서 골든크로스
-
+        if (0 < data['macd'][i] and 0 < data['macds'][i]):
-        MIN_AVG_5_200 = 0.002
+            if (data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]):
-        MIN_AVG_5_60 = 0.002
+                canBuy = False
-        DIFF_200_5 = 0.001
+                for c in range(1, 11):
-
+                    if data['macd'][i - c] < 0:
-        if (abs(data['disparity_avg200'][i] - data['disparity_avg5'][i]) < DIFF_200_5 and C_MIN_AVG_5_200 < MIN_AVG_5_200 and C_MIN_AVG_5_60 < MIN_AVG_5_60):
+                        canBuy = True
-            if data['avg200'][i] < data['avg5'][i]:
+                        break
-                if 180 < i:
+                if canBuy:
-                    valid = True
-                    for c in range(5, 181):
-                        if data['avg200'][-c] < data['avg200'][-c]:
-                            valid = False
-                            break
-                    if valid:
-                        if max(data['volume'].tolist()[i-10:i]) < data['volume'][i]:
-                            buy = data['close'][i]
-                            weight = 1
-                        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]:
-                            buy = data['close'][i]
-                            weight = 1
-
-            if data['macd'][i-1] < -1000:
-                if -1000 < data['macd'][i]:
-                    buy = data['close'][i]
                     weight = 1
+                    buy = data['close'][i]
+                    type = 'method0'
+        """
+
+        # 매수전략 #1: 깊은 하락
+        if (data['macd'][i]<-1000) and (data['macdo'][i-1] <= 0 and 0 < data['macdo'][i]):
+            if data['close'][i] < data['avg200'][i]:
+                weight = 0.5
+                buy = data['close'][i]
+                type = 'method1'
+
+
+        # 매수전략 #2: RSI 과매도 이후 골든크로스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            for c in range(1, 11):
+                if data['rsi'][i-c] < 10:
+                    canBuy = True
+                    break
+            if canBuy:
+                weight = 3
+                buy = data['close'][i]
+                type = 'method2'
+
+
+        # 매수전략 #3: 다이버전스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            index = 0
+            for c in range(1, 41):
+                if data['macd'][i-c-1] < data['macds'][i-c-1] and data['macds'][i-c] < data['macd'][i-c]:
+                    canBuy = True
+                    index = c
+                    break
+            if canBuy and data['rsi'][i-index] < 30:
+                if (data['macd'][i-index] < data['macd'][i] and
+                    min(data['open'][i], data['close'][i]) < min(data['open'][i-index], data['close'][i-index])):
+                    weight = 2
+                    buy = data['close'][i]
+                    type = 'method3'
 
         return buy, weight
 
     def getSellPriceAndWeight(self, stock_code, i, data, INFO):
-        sell, weight = -1, -1
+        sell, weight, type = -1, -1, ""
 
-        if data['close'][i] < INFO['LIMIT_PRICE'] < data['close'][i-1]:
+        # 매수전략 #1: 높은 상승
-            sell = data['close'][i]
+        if (650 < data['macd'][i] or 600 < data['macds'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
-            weight = 1
-
-        if (650 < data['macd'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
             #if data['macds'][i-1] < data['macd'][i-1] and data['macd'][i] < data['macds'][i]:
             weight = 1
             sell = data['close'][i]
+            type = 'method1'
 
-        if data['close'][i] < INFO['LIMIT_PRICE']:
+        # 매수전략 #2: RSI 과매수에서 데드크로스
-            weight = 1
+        if (data['macds'][i - 1] < data['macd'][i - 1] and data['macd'][i] < data['macds'][i]):
-            sell = data['close'][i]
+            if 80 < data['rsi'][i]:
+                weight = 1
+                sell = data['close'][i]
+                type = 'method2'
 
         return sell, weight
 
-
     def checkTransaction(self, stock_code, data, INFO, isRealTime=True):
         # 어제 오늘 데이터로 분석
         bsLine = {}

hts/BuySellChecker_251340.py

@@ -7,57 +7,81 @@ class BuySellChecker_251340 (BuySellChecker):
         return
 
     def getBuyPriceAndWeight(self, stock_code, i, data, INFO):
-        buy, weight = -1, -1
+        buy, weight, type = -1, -1, ""
 
-        C_MIN_AVG_5_200 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i])
+        """
-        C_MIN_AVG_5_60 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i])
+        #매수전략 #0: 기준선 위에서 골든크로스
-
+        if (0 < data['macd'][i] and 0 < data['macds'][i]):
-        MIN_AVG_5_200 = 0.002
+            if (data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]):
-        MIN_AVG_5_60 = 0.002
+                canBuy = False
-        DIFF_200_5 = 0.001
+                for c in range(1, 11):
-
+                    if data['macd'][i - c] < 0:
-        if (abs(data['disparity_avg200'][i] - data['disparity_avg5'][i]) < DIFF_200_5 and C_MIN_AVG_5_200 < MIN_AVG_5_200 and C_MIN_AVG_5_60 < MIN_AVG_5_60):
+                        canBuy = True
-            if data['avg200'][i] < data['avg5'][i]:
+                        break
-                if 180 < i:
+                if canBuy:
-                    valid = True
-                    for c in range(5, 181):
-                        if data['avg200'][-c] < data['avg200'][-c]:
-                            valid = False
-                            break
-                    if valid:
-                        if max(data['volume'].tolist()[i-10:i]) < data['volume'][i]:
-                            buy = data['close'][i]
-                            weight = 1
-                        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]:
-                            buy = data['close'][i]
-                            weight = 1
-
-            if data['macd'][i-1] < -1000:
-                if -1000 < data['macd'][i]:
-                    buy = data['close'][i]
                     weight = 1
+                    buy = data['close'][i]
+                    type = 'method0'
+        """
+
+        # 매수전략 #1: 깊은 하락
+        if (data['macd'][i]<-1000) and (data['macdo'][i-1] <= 0 and 0 < data['macdo'][i]):
+            if data['close'][i] < data['avg200'][i]:
+                weight = 0.5
+                buy = data['close'][i]
+                type = 'method1'
+
+
+        # 매수전략 #2: RSI 과매도 이후 골든크로스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            for c in range(1, 11):
+                if data['rsi'][i-c] < 10:
+                    canBuy = True
+                    break
+            if canBuy:
+                weight = 3
+                buy = data['close'][i]
+                type = 'method2'
+
+
+        # 매수전략 #3: 다이버전스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            index = 0
+            for c in range(1, 41):
+                if data['macd'][i-c-1] < data['macds'][i-c-1] and data['macds'][i-c] < data['macd'][i-c]:
+                    canBuy = True
+                    index = c
+                    break
+            if canBuy and data['rsi'][i-index] < 30:
+                if (data['macd'][i-index] < data['macd'][i] and
+                    min(data['open'][i], data['close'][i]) < min(data['open'][i-index], data['close'][i-index])):
+                    weight = 2
+                    buy = data['close'][i]
+                    type = 'method3'
 
         return buy, weight
 
     def getSellPriceAndWeight(self, stock_code, i, data, INFO):
-        sell, weight = -1, -1
+        sell, weight, type = -1, -1, ""
 
-        if data['close'][i] < INFO['LIMIT_PRICE'] < data['close'][i-1]:
+        # 매수전략 #1: 높은 상승
-            sell = data['close'][i]
+        if (650 < data['macd'][i] or 600 < data['macds'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
-            weight = 1
-
-        if (650 < data['macd'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
             #if data['macds'][i-1] < data['macd'][i-1] and data['macd'][i] < data['macds'][i]:
             weight = 1
             sell = data['close'][i]
+            type = 'method1'
 
-        if data['close'][i] < INFO['LIMIT_PRICE']:
+        # 매수전략 #2: RSI 과매수에서 데드크로스
-            weight = 1
+        if (data['macds'][i - 1] < data['macd'][i - 1] and data['macd'][i] < data['macds'][i]):
-            sell = data['close'][i]
+            if 80 < data['rsi'][i]:
+                weight = 1
+                sell = data['close'][i]
+                type = 'method2'
 
         return sell, weight
 
-
     def checkTransaction(self, stock_code, data, INFO, isRealTime=True):
         # 어제 오늘 데이터로 분석
         bsLine = {}

hts/BuySellChecker_252670.py

@@ -5,64 +5,82 @@ class BuySellChecker_252670 (BuySellChecker):
     def __init__(self):
         super().__init__()
         return
-
     def getBuyPriceAndWeight(self, stock_code, i, data, INFO):
-        buy, weight = -1, -1
+        buy, weight, type = -1, -1, ""
 
-        C_MIN_AVG_5_200 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i], data['disparity_avg200'][i])
+        """
-        C_MIN_AVG_5_60 = max(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i]) - min(data['disparity_avg5'][i], data['disparity_avg20'][i], data['disparity_avg60'][i])
+        #매수전략 #0: 기준선 위에서 골든크로스
-        C_DIFF_AVG_200_5 = abs(data['disparity_avg200'][i] - data['disparity_avg5'][i])
+        if (0 < data['macd'][i] and 0 < data['macds'][i]):
+            if (data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]):
+                canBuy = False
+                for c in range(1, 11):
+                    if data['macd'][i - c] < 0:
+                        canBuy = True
+                        break
+                if canBuy:
+                    weight = 1
+                    buy = data['close'][i]
+                    type = 'method0'
+        """
 
-        if 0.004 < C_MIN_AVG_5_60 < 0.005 and 0.007 < C_MIN_AVG_5_200 < 0.008 and 0.007 < C_DIFF_AVG_200_5 < 0.008:
+        # 매수전략 #1: 깊은 하락
-            buy = data['close'][i]
+        if (data['macd'][i]<-1000) and (data['macdo'][i-1] <= 0 and 0 < data['macdo'][i]):
-            weight = 1
+            if data['close'][i] < data['avg200'][i]:
-        if 0.023 < C_MIN_AVG_5_60 < 0.024 and 0.026 < C_MIN_AVG_5_200 < 0.027 and 0.026 < C_DIFF_AVG_200_5 < 0.027:
+                weight = 0.5
-            buy = data['close'][i]
+                buy = data['close'][i]
-            weight = 1
+                type = 'method1'
-        if 0.013 < C_MIN_AVG_5_60 < 0.014 and 0.013 < C_MIN_AVG_5_200 < 0.014 and 0.013 < C_DIFF_AVG_200_5 < 0.014:
-            buy = data['close'][i]
-            weight = 1
-        if 0.004 < C_MIN_AVG_5_60 < 0.005 and 0.005 < C_MIN_AVG_5_200 < 0.006 and 0.0008 < C_DIFF_AVG_200_5 < 0.001:
-            buy = data['close'][i]
-            weight = 1
-        if 0.001 < C_MIN_AVG_5_60 < 0.0015 and 0.0055 < C_MIN_AVG_5_200 < 0.006 and 0.0055 < C_DIFF_AVG_200_5 < 0.006:
-            buy = data['close'][i]
-            weight = 1
-        if 0.001 < C_MIN_AVG_5_60 < 0.0015 and 0.0015 < C_MIN_AVG_5_200 < 0.002 and 0.0015 < C_DIFF_AVG_200_5 < 0.002:
-            buy = data['close'][i]
-            weight = 1
-        if 0.009 < C_MIN_AVG_5_60 < 0.0095 and 0.01 < C_MIN_AVG_5_200 < 0.012 and 0.01 < C_DIFF_AVG_200_5 < 0.012:
-            buy = data['close'][i]
-            weight = 1
-        if 0.002 < C_MIN_AVG_5_60 < 0.0023 and 0.0062 < C_MIN_AVG_5_200 < 0.0068 and 0.0062 < C_DIFF_AVG_200_5 < 0.0068:
-            buy = data['close'][i]
-            weight = 1
-        if 0.008 < C_MIN_AVG_5_60 < 0.0085 and 0.008 < C_MIN_AVG_5_200 < 0.0085 and 0.0075 < C_DIFF_AVG_200_5 < 0.008:
-            buy = data['close'][i]
-            weight = 1
 
 
+        # 매수전략 #2: RSI 과매도 이후 골든크로스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            for c in range(1, 11):
+                if data['rsi'][i-c] < 10:
+                    canBuy = True
+                    break
+            if canBuy:
+                weight = 3
+                buy = data['close'][i]
+                type = 'method2'
+
+
+        # 매수전략 #3: 다이버전스
+        if (data['macd'][i - 1] < data['macds'][i - 1] and data['macds'][i] < data['macd'][i]):
+            canBuy = False
+            index = 0
+            for c in range(1, 41):
+                if data['macd'][i-c-1] < data['macds'][i-c-1] and data['macds'][i-c] < data['macd'][i-c]:
+                    canBuy = True
+                    index = c
+                    break
+            if canBuy and data['rsi'][i-index] < 30:
+                if (data['macd'][i-index] < data['macd'][i] and
+                    min(data['open'][i], data['close'][i]) < min(data['open'][i-index], data['close'][i-index])):
+                    weight = 2
+                    buy = data['close'][i]
+                    type = 'method3'
+
         return buy, weight
 
     def getSellPriceAndWeight(self, stock_code, i, data, INFO):
-        sell, weight = -1, -1
+        sell, weight, type = -1, -1, ""
 
-        if data['close'][i] < INFO['LIMIT_PRICE'] < data['close'][i-1]:
+        # 매수전략 #1: 높은 상승
-            sell = data['close'][i]
+        if (650 < data['macd'][i] or 600 < data['macds'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
-            weight = 1
-
-        if (5 < data['macd'][i]) and (0 < data['macdo'][i-1] and data['macdo'][i] <= 0):
             #if data['macds'][i-1] < data['macd'][i-1] and data['macd'][i] < data['macds'][i]:
             weight = 1
             sell = data['close'][i]
+            type = 'method1'
 
-        if data['close'][i] < INFO['LIMIT_PRICE']:
+        # 매수전략 #2: RSI 과매수에서 데드크로스
-            weight = 1
+        if (data['macds'][i - 1] < data['macd'][i - 1] and data['macd'][i] < data['macds'][i]):
-            sell = data['close'][i]
+            if 80 < data['rsi'][i]:
+                weight = 1
+                sell = data['close'][i]
+                type = 'method2'
 
         return sell, weight
 
-
     def checkTransaction(self, stock_code, data, INFO, isRealTime=True):
         # 어제 오늘 데이터로 분석
         bsLine = {}

stock/analysis/AnalyzerSqlite.py

@@ -1066,9 +1066,9 @@ if __name__ == "__main__":
     stockFileName = os.path.join(RESOURCE_PATH, 'stock.db')
     analyzer = AnalyzerSqlite(stockFileName)
 
-    analyzer.analyzeDaily()
+    #analyzer.analyzeDaily()
-    analyzer.analyzeGrouping("weekly")
+    #analyzer.analyzeGrouping("weekly")
-    analyzer.analyzeGrouping("monthly")
+    #analyzer.analyzeGrouping("monthly")
 
     # HTML 출력
     outPath = os.path.join(PROJECT_HOME, "resources", "analysis")

stock/analysis/Common.py

@@ -574,65 +574,42 @@ class Common:
 
     def check_optimal_buy_timeing(self, stock):
 
-        if stock['slow_k'][0] is None:
+        min_macd = min(stock['macd']) / 2
-            return False
 
-        max_vol_5 = max(stock['volume'][0: 4])
+        # 매수전략 #1: 깊은 하락
-        max_vol_30 = max(stock['volume'][4: 24])
+        if (stock['macd'][0] < min_macd) and (stock['macdo'][1] <= 0 and 0 < stock['macdo'][0]):
-        if max_vol_30 < max_vol_5:
+            if stock['close'][0] < stock['avg200'][0]:
-            if stock['open'][1] < stock['close'][1] and stock['volume'][1] < stock['volume'][0]:
+                weight = 0.5
-                # if stock['open'][i - 1] < stock['close'][i - 1] and stock['volume'][i - 1] < stock['volume'][i]:
+                buy = stock['close'][0]
+                type = 'method1'
 
-                # 1) 스토캐스틱 과매도
+        # 매수전략 #2: RSI 과매도 이후 골든크로스
-                slow_k_buy = False
+        if (stock['macd'][1] < stock['macds'][1] and stock['macds'][0] < stock['macd'][0]):
-                for idx in range(0, 10):
+            canBuy = False
-                    if stock['slow_k'][idx] < 20:
+            for c in range(1, 11):
-                        slow_k_buy = True
+                if stock['rsi'][0 - c] < 10:
-                        break
+                    canBuy = True
+                    break
+            if canBuy:
+                weight = 3
+                buy = stock['close'][0]
+                type = 'method2'
 
-                # 2) macd 교차 신호
+        # 매수전략 #3: 다이버전스
-                macd_buy = False
+        if (stock['macd'][1] < stock['macds'][1] and stock['macds'][0] < stock['macd'][0]):
-                if slow_k_buy:
+            canBuy = False
-                    for idx in range(0, 10):
+            index = 0
-                        if stock['macd'][idx+1] < 0 and stock['macds'][idx+1] < 0 and stock['macd'][idx] < 0 and stock['macds'][idx] < 0:
+            for c in range(1, 41):
-                            if stock['macd'][idx+1] < stock['macds'][idx+1] and stock['macd'][idx] > stock['macds'][idx]:
+                if stock['macd'][0 - c - 1] < stock['macds'][0 - c - 1] and stock['macds'][0 - c] < stock['macd'][0 - c]:
-                                macd_buy = True
+                    canBuy = True
-                                break
+                    index = c
-
+                    break
-                # 3) RSI 지수가 50위로 올라갈 때
+            if canBuy and stock['rsi'][0 - index] < 30:
-                if macd_buy:
+                if (stock['macd'][0 - index] < stock['macd'][0] and
-                    if stock['rsi'][1] < 40 and stock['rsi'][0] > 40:
+                    min(stock['open'][0], stock['close'][0]) < min(stock['open'][0 - index], stock['close'][0 - index])):
-                        return True
+                    weight = 2
-                    
+                    buy = stock['close'][0]
-
+                    type = 'method3'
-            if stock['close'][0] < stock['avg200'][0] and stock['open'][0] < stock['close'][0] and max(stock['avg5'][0], stock['avg20'][0], stock['avg200'][0]) < stock['avg60'][0]:
-                if stock['open'][0] < min(stock['close'][0], stock['avg5'][0], stock['avg20'][0], stock['avg60'][0], stock['avg120'][0]):
-                    if max(stock['volume'][:10]) * 4 < stock['volume'][0]:
-                        if stock['open'][0] < (stock['upper'][0] + stock['lower'][0]) / 2:
-                            return True
-
-            if stock['avg200'][0] < stock['avg5'][0] and stock['avg200'][0] < stock['avg20'][0] and stock['avg200'][0] < stock['avg60'][0]:
-                if stock['open'][0] < stock['close'][0]:
-                    if max(stock['volume'][:10]) * 3 < stock['volume'][0]:
-                        if max(stock['disparity_avg5'][0], stock['disparity_avg20'][0], stock['disparity_avg60'][0]) - min(stock['disparity_avg5'][0], stock['disparity_avg20'][0], stock['disparity_avg60'][0]) < 0.003:
-                                return True
-
-            if stock['open'][1] < stock['close'][1] and stock['open'][0] < stock['close'][0]:
-                if stock['volume'][1] * 10 < stock['volume'][0]:
-                    if stock['upper'][0] < stock['close'][0]:
-                        if max(stock['disparity_avg5'][0], stock['disparity_avg20'][0], stock['disparity_avg60'][0]) - min(stock['disparity_avg5'][0], stock['disparity_avg20'][0], stock['disparity_avg60'][0]) < 0.005:
-                            if max(stock['disparity_avg5'][0], stock['disparity_avg20'][0], stock['disparity_avg60'][0], stock['disparity_avg200'][0]) - min(stock['disparity_avg5'][0], stock['disparity_avg20'][0], stock['disparity_avg60'][0], stock['disparity_avg200'][0]) < 0.006:
-                                if stock['avg200'][0] < min(stock['open'][0], stock['close'][0], stock['avg5'][0], stock['avg20'][0], stock['avg60'][0]):
-                                    return True
-
-                check = False
-                for c in range(10):
-                    if stock['close'][c+1] < stock['close'][c+2] < stock['close'][c+3] < stock['close'][c+4] < stock['close'][c+5] < stock['close'][c+6]:
-                        if stock['close'][c+1] < stock['lower'][c+1] and stock['close'][c+2] < stock['lower'][c+2] and stock['close'][c+3] < stock['lower'][c+3] and stock['close'][c+4] < stock['lower'][c+4] and stock['close'][c+5] < stock['lower'][c+5] and stock['close'][c+6] < stock['lower'][c+6]:
-                            check = True
-                            break
-                if check and stock['close'][0] < stock['lower'][0]:
-                    return True
 
         return False