init

stockpredictor/analysis/Analyzer.py

@@ -364,20 +364,84 @@ class Analyzer:
                 status += eveningstar_status
             ---------------------------------"""
 
-            # 위치에너지
-            positional_egergy_status = self.common.checkPotentialEnergy(STOCK, i)
-            if positional_egergy_status != "":
-                status += positional_egergy_status
-
 
         return status, buy_price
 
+    def getPositionalEnergy(self, stock, i):
+        # 350일 중 가장 찾은 금액과 가장 높았던 금액 중 현재가의 위치 계산
+
+        top = stock[i]['close']
+        bottom = stock[i]['close']
+        price = stock[i]['close']
+
+        if len(stock) > 350:
+            for i in range(2, 350):
+                if top < stock[-i]["close"]:
+                    top = stock[-i]["close"]
+
+                if stock[-i]["close"] < bottom:
+                    bottom = stock[-i]["close"]
+
+        if top - bottom == 0:
+            energy = 100
+        else:
+            energy = (price - bottom) / (top - bottom)
+
+        return round(energy, 2)
+
+    def writeFile(self, fig, state, bolingerband_score, stochastic_score, positionalEnergy, item_name, item_code):
+
+        count = 0
+        if bolingerband_score < 0.15:
+            fileName = self.bolingerband_path
+            fileName = "%s/b(%.2f)__p(%.2f)__s(%.2f)__%s__%s_%s.html" % (fileName, bolingerband_score, positionalEnergy, stochastic_score, state, item_name.replace(" ", ""), item_code)
+            po.write_html(fig, file=fileName, auto_open=False)
+            count += 1
+
+        if stochastic_score < 15:
+            fileName = self.stochastic_path
+            fileName = "%s/s(%.2f)__b(%.2f)__p(%.2f)__%s__%s_%s.html" % (fileName, stochastic_score, bolingerband_score, positionalEnergy, state, item_name.replace(" ", ""), item_code)
+            po.write_html(fig, file=fileName, auto_open=False)
+
+        if positionalEnergy < 0.15:
+            fileName = self.positionalEnergy_path
+            fileName = "%s/p(%.2f)__b(%.2f)__s(%.2f)__%s__%s_%s.html" % (fileName, positionalEnergy, bolingerband_score, stochastic_score, state, item_name.replace(" ", ""), item_code)
+            po.write_html(fig, file=fileName, auto_open=False)
+            count += 1
+
+        if count > 1:
+            fileName = self.outPath
+            fileName = "%s/p(%.2f)__b(%.2f)__s(%.2f)__%s__%s_%s.html" % (fileName, positionalEnergy, bolingerband_score, stochastic_score, state, item_name.replace(" ", ""), item_code)
+            po.write_html(fig, file=fileName, auto_open=False)
+
+        return
+
+    def makeDirectory(self, outPath):
+        self.outPath = outPath
+        if os.path.isdir(outPath):
+            shutil.rmtree(outPath)
+        os.mkdir(outPath)
+
+        self.stochastic_path = outPath + "/stochastic"
+        if os.path.isdir(self.stochastic_path):
+            os.rmdir(self.stochastic_path)
+        os.mkdir(self.stochastic_path)
+
+        self.bolingerband_path = outPath + "/bolingerband"
+        if os.path.isdir(self.bolingerband_path):
+            os.rmdir(self.bolingerband_path)
+        os.mkdir(self.bolingerband_path)
+
+        self.positionalEnergy_path = outPath + "/positionalEnergy"
+        if os.path.isdir(self.positionalEnergy_path):
+            os.rmdir(self.positionalEnergy_path)
+        os.mkdir(self.positionalEnergy_path)
+
+        return
+
     # 그래프 출력
     def analyzeToHtml(self, outPath):
-        tmp_path = outPath + "/tmp"
+        self.makeDirectory(outPath)
-        if os.path.isdir(tmp_path):
-            os.rmdir(tmp_path)
-        os.mkdir(tmp_path)
 
         conn = sqlite3.connect(self.inFileName)
         cursor = conn.cursor()
@@ -425,24 +489,17 @@ class Analyzer:
             else:
                 bolingerband_score = round(((STOCK[last_index]['close']-BOLINGERBAND[last_index]['lower'])/(BOLINGERBAND[last_index]['upper']-BOLINGERBAND[last_index]['lower'])), 2)
 
-            if stochastic_score < 10 or bolingerband_score < 0.2:
+            positionalEnergy = self.getPositionalEnergy(STOCK, last_index)
+            if stochastic_score < 30 or bolingerband_score < 0.3:
+                if STOCK[last_index]['volume'] > 100000:
+                    # 종목 상태 체크 분석
+                    state, buy_price = self.analyzeFinalScore(last_index, STOCK, STOCHASTIC)
 
-                # 종목 상태 체크 분석
-                state, buy_price = self.analyzeFinalScore(last_index, STOCK, STOCHASTIC)
-
-                if state != "":
                     fig = self.draw(stock)
-                    title = "%s (%s), %s, buy_price (%d), stochastic(%.2f), bolingerband(%.2f) 차트" % (item_name, item_code, state, buy_price, stochastic_score, bolingerband_score)
+                    title = "%s (%s), %s, buy_price (%d), stochastic(%.2f), bolingerband(%.2f), positionalEnergy(%.2f)  차트" % (item_name, item_code, state, buy_price, stochastic_score, bolingerband_score, positionalEnergy)
                     fig['layout'].update(title=title)
-                    fileName = "%s/%s__b(%.2f)__s(%.2f)__%s_%s.html" % (outPath, state, bolingerband_score, stochastic_score, item_name.replace(" ", ""), item_code)
+
-                    po.write_html(fig, file=fileName, auto_open=False)
+                    self.writeFile(fig, state, bolingerband_score, stochastic_score, positionalEnergy, item_name, item_code)
-                else:
-                    if STOCK[last_index]['volume'] > 1000000:
-                        fig = self.draw(stock)
-                        title = "%s (%s) buy_price (%d), stochastic(%.2f), bolingerband(%.2f) 차트"%(item_name, item_code, buy_price, stochastic_score, bolingerband_score)
-                        fig['layout'].update(title=title)
-                        fileName = "%s/b(%.2f)__s(%.2f)__%s_%s.html"%(tmp_path, bolingerband_score, stochastic_score, item_name.replace(" ", ""), item_code)
-                        po.write_html(fig, file=fileName, auto_open=False)
 
             rowid += 1
             cursor.execute('SELECT * FROM ' + self.tableName + ' WHERE rowid=?', (rowid,))

stockpredictor/analysis/Common.py

@@ -519,27 +519,6 @@ class Common:
                 return "arrange_"
         return ""
 
-    def checkPotentialEnergy(self, stock, i):
-        # 350일 중 가장 찾은 금액과 가장 높았던 금액 중 현재가의 위치 계산
-
-        top = stock[i]['close']
-        bottom = stock[i]['close']
-        price = stock[i]['close']
-
-        if len(stock) > 350:
-            for i in range(2, 350):
-                if top < stock[-i]["close"]:
-                    top = stock[-i]["close"]
-
-                if stock[-i]["close"] < bottom:
-                    bottom = stock[-i]["close"]
-
-        if top - bottom > 0:
-            energy = (price - bottom) / (top - bottom)
-            if energy < 0.2:
-                return "p(" + str(round(energy, 2)) + ")_"
-        return ""
-
     def checkHigherUmbong(self, stock, i):
         # 음봉인데 어제보다 종가가 더 높은 경우
         # 이 경우 정배열 상태인지도 함께 체크를 한다.