init

hts/BuySellChecker.py

@@ -307,6 +307,67 @@ class BuySellChecker:
 
         return buy, weight, sell
 
+    def getPriceAndWeight_1minute(self, data, i):
+        buy, weight, sell = -1, -1, -1
+
+        ################
+        ### 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]:
+            sell = data["high"][i]
+
+        if data["slow_k"][i] >= 85:
+            if data["slow_d"][i - 1] < data["slow_k"][i - 1] and data["slow_k"][i] < data["slow_d"][i]:
+                sell = data["high"][i]
+
+        # 3. 2시 이후에는 최고가가 볼린져밴드 상단 위에 있으면 매도한다.
+        if i > 300 and data["high"][i] > data["upper"][i]:
+            sell = data["high"][i]
+
+        ##########################
+        ### STOCHASTIC buy 분석 ###
+        ##########################
+        if i < 40:
+            pre_slow = data["slow_k"][i - 1] / data["slow_d"][i - 1] - 1
+            now_slow = data["slow_k"][i] / data["slow_d"][i] - 1
+            if pre_slow < 0 and 0 < now_slow:
+                if data["slow_k"][i] <= 35:
+                    if (data["close"][i] - data["lower"][i]) / (data["upper"][i] - data["lower"][i]) < 0.35:
+                        if data["slow_k"][i - 1] < data["slow_d"][i - 1] and data["slow_d"][i] < data["slow_k"][i]:
+                            if  data['avg3'][i] <= data['avg2'][i]:
+                                if data["open"][i] < data["close"][i]:
+                                    buy = data["close"][i]
+                                else:
+                                    buy = data["low"][i]
+        else:
+            pre_slow = data["slow_k"][i - 1] / data["slow_d"][i - 1] - 1
+            now_slow = data["slow_k"][i] / data["slow_d"][i] - 1
+            if pre_slow < 0 and pre_slow < now_slow and -0.15 < now_slow:
+                if data["slow_k"][i] <= 10:
+                    if (data["close"][i] - data["lower"][i]) / (data["upper"][i] - data["lower"][i]) < 0.35:
+                        if data["slow_k"][i - 1] < data["slow_d"][i - 1] and data["slow_d"][i] < data["slow_k"][i]:
+                            if  data['avg3'][i] <= data['avg2'][i]:
+                                if data["close"][i] < data["avg5"][i]:
+                                    buy = data["close"][i]
+                                else:
+                                    buy = data["low"][i]
+
+        #############################
+        ### STOCHASTIC weight 분석 ###
+        #############################
+        if data["slow_k"][i] in (0, 1, 2, 3):
+            weight = 1
+        if data["slow_k"][i] in (4, 5, 6, 7, 8):
+            weight = 1
+        elif data["slow_k"][i] in (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20):
+            weight = 1
+        elif data["slow_k"][i] in (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35):
+            weight = 1
+
+        return buy, weight, sell
+
+
     def analyze(self, result):
         df = pd.DataFrame(result["close"])