init

Bithumb_minute.py

@@ -17,6 +17,7 @@ from sklearn.preprocessing import StandardScaler, MinMaxScaler
 from stock.analysis.AnalyzerSqlite import AnalyzerSqlite
 from hts.BuySellChecker import BuySellChecker
 from hts.HTS import HTS
+from bithumb.Bithumb_daily import Bithumb_daily
 
 
 class Bithumb_minute(HTS):
@@ -600,13 +601,17 @@ class Bithumb_minute(HTS):
                     bsLine['buy'][i] = buy
                     bsLine['buy_weight'][i] = 0.3
 
-                """
+                if data['slow_k'][i] > 90:
+                    sell = data['close'][i]
+                    data['sell'][i] = sell
+                    bsLine['sell'][i] = sell
+                    bsLine['sell_weight'][i] = 100
+
                 if data['slow_k'][i] > 80 and data['slow_d'][i-1] < data['slow_k'][i-1] and data['slow_k'][i] < data['slow_d'][i]:
                     sell = data['low'][i]
                     data['sell'][i] = sell
                     bsLine['sell'][i] = sell
                     bsLine['sell_weight'][i] = 100
-                """
 
         return bsLine, data
 
@@ -651,7 +656,7 @@ class Bithumb_minute(HTS):
 
         return
 
-    def buyRealTime(self, ticker, isRealTime=False):
+    def buyRealTime(self, ticker, analyzed_day=120, isRealTime=False):
 
         stock = {"CODE": ticker, "NAME": ticker, "PRICE": []}
 
@@ -681,7 +686,6 @@ class Bithumb_minute(HTS):
             df['high'][size - 1] = close
         self.append(df, stock)
 
-        analyzed_day = 120
         data = self.analyze(stock, analyzed_day)
         # 분석일 데이터만 활용한다 (이전 데이터는 제거)
         data.drop(data.index[:len(data) - analyzed_day], inplace=True)
@@ -740,15 +744,20 @@ if __name__ == "__main__":
     if not os.path.exists(dirName):
         os.mkdir(dirName)
 
+    # bithumb_daily = Bithumb_daily(RESOURCE_PATH)
     bithumb = Bithumb_minute(RESOURCE_PATH)
 
     tickers = ['XRP']
-    isRealTime = True
+    analyzed_day = 120
+    isRealTime = False
     if isRealTime:
         while True:
             for ticker in tickers:
-                bithumb.buyRealTime(ticker, isRealTime)
+                #data_daily = bithumb_daily.buyRealTime(ticker, analyzed_day)
+                #size = len(data_daily)
+                #if data_daily['slow_k'] < 30:
+                bithumb.buyRealTime(ticker, analyzed_day, isRealTime)
             time.sleep(180)
     else:
         for ticker in tickers:
-            bithumb.buyRealTime(ticker, isRealTime)
+            bithumb.buyRealTime(ticker, analyzed_day, isRealTime)