init

stock/analysis/AnalyzerSqlite.py

@@ -153,10 +153,11 @@ class AnalyzerSqlite:
         macds = list(reversed(stock['macds']))
         rsi = list(reversed(stock['rsi']))
         rsis = list(reversed(stock['rsis']))
-        stochastic_slow_k = list(reversed(stock['stochastic_slow_k']))
+        stochastic_slow_k = list(reversed(stock['slow_k']))
-        stochastic_slow_d = list(reversed(stock['stochastic_slow_d']))
+        stochastic_slow_d = list(reversed(stock['slow_d']))
-        bolingerband_upper = list(reversed(stock['bolingerband_upper']))
+        bolingerband_upper = list(reversed(stock['upper']))
-        bolingerband_lower = list(reversed(stock['bolingerband_lower']))
+        bolingerband_lower = list(reversed(stock['lower']))
+        bolingerband_middle = list(reversed(stock['middle']))
         envelope_upper = list(reversed(stock['envelope_upper']))
         envelope_lower = list(reversed(stock['envelope_lower']))
         ichimokucloud_changeLine = list(reversed(stock['ichimokucloud_changeLine']))
@@ -416,10 +417,10 @@ class AnalyzerSqlite:
             "close": close, "open": open, "high": high, "low": low, "volume": volume,
             "avg3": avg3, "avg4": avg4, "avg5": avg5, "avg6": avg6, "avg10": avg10, "avg12": avg12, "avg20": avg20, "avg36": avg36, "avg40": avg40, "avg48": avg48, "avg60": avg60, "avg120": avg120, "avg200": avg200, "avg240": avg240, "avg300": avg300,
             "disparity_avg5": disparity_avg5, "disparity_avg10": disparity_avg10, "disparity_avg20": disparity_avg20, "disparity_avg60": disparity_avg60, "disparity_avg120": disparity_avg120,
-            "bolingerband_upper": bolingerband_upper, "bolingerband_lower": bolingerband_lower, "bolingerband_middle": bolingerband_middle,
+            "upper": bolingerband_upper, "lower": bolingerband_lower, "middle": bolingerband_middle,
             "envelope_upper": envelope_upper, "envelope_lower": envelope_lower, "envelope_middle": envelope_middle,
             "ichimokucloud_changeLine": ichimokucloud_changeLine, "ichimokucloud_baseLine": ichimokucloud_baseLine, "ichimokucloud_leadingSpan1": ichimokucloud_leadingSpan1, "ichimokucloud_leadingSpan2": ichimokucloud_leadingSpan2,
-            "stochastic_fast_k": stochastic_fast_k, "stochastic_slow_k": stochastic_slow_k, "stochastic_slow_d": stochastic_slow_d,
+            "fast_k": stochastic_fast_k, "slow_k": stochastic_slow_k, "slow_d": stochastic_slow_d,
             "rsi": rsi, "rsis": rsis,
             "macd": macd, "macds": macds, "macdo": macdo,
             "obv5": [], "obv20": [], "obv60": []
@@ -458,6 +459,7 @@ class AnalyzerSqlite:
         self.makeDir("daily_5일선_돌파")
         self.makeDir("daily_5일선_20일선_돌파")
         self.makeDir("daily_20일선_60일선_돌파")
+        self.makeDir("daily_최적_타이밍_찾기")
         #self.makeDir("daily_OBV")
         #self.makeDir("daily_EV하단_내려옴")
         #self.makeDir("daily_BB하단_내려옴")
@@ -670,6 +672,12 @@ class AnalyzerSqlite:
                         log = dir_name + "_"
                         self.writeFile(dir_name, CODE, NAME, top, stock_daily, log)
 
+                    check = self.common.check_optimal_buy_timeing(stock_daily)
+                    if check:
+                        dir_name = "daily_최적_타이밍_찾기"
+                        log = dir_name + "_"
+                        self.writeFile(dir_name, CODE, NAME, top, stock_daily, log)
+
                     """
                     # daily_OBV
                     obv = self.common.check_obv(stock_daily)

stock/analysis/Common.py

@@ -572,6 +572,68 @@ class Common:
 
         return False
 
+    def check_optimal_buy_timeing(self, stock):
+
+        max_vol_5 = max(stock['volume'][0: 4])
+        max_vol_30 = max(stock['volume'][4: 24])
+        if max_vol_30 < max_vol_5:
+            if stock['open'][1] < stock['close'][1] and stock['volume'][1] < stock['volume'][0]:
+                # if stock['open'][i - 1] < stock['close'][i - 1] and stock['volume'][i - 1] < stock['volume'][i]:
+
+                # 1) 스토캐스틱 과매도
+                slow_k_buy = False
+                for idx in range(0, 10):
+                    if stock['slow_k'][idx] < 20:
+                        slow_k_buy = True
+                        break
+
+                # 2) macd 교차 신호
+                macd_buy = False
+                if slow_k_buy:
+                    for idx in range(0, 10):
+                        if stock['macd'][idx+1] < 0 and stock['macds'][idx+1] < 0 and stock['macd'][idx] < 0 and stock['macds'][idx] < 0:
+                            if stock['macd'][idx+1] < stock['macds'][idx+1] and stock['macd'][idx] > stock['macds'][idx]:
+                                macd_buy = True
+                                break
+
+                # 3) RSI 지수가 50위로 올라갈 때
+                if macd_buy:
+                    if stock['rsi'][1] < 40 and stock['rsi'][0] > 40:
+                        return True
+                    
+
+            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
+
+
     # 낙폭 과대 체크
     def check_excessive_drop(self, stock):
         c_index = 200
@@ -589,9 +651,9 @@ class Common:
         return False
 
     def check_under_BB_Low(self, stock):
-        if stock['bolingerband_lower'][0] is not None and stock['bolingerband_lower'][1] is not None:
+        if stock['lower'][0] is not None and stock['lower'][1] is not None:
             # bb 하단에 부딪힘
-            if stock['close'][0] < stock['bolingerband_lower'][0]:
+            if stock['close'][0] < stock['lower'][0]:
                 return True
         return False