init
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@@ -572,6 +572,68 @@ class Common:
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return False
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def check_optimal_buy_timeing(self, stock):
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max_vol_5 = max(stock['volume'][0: 4])
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max_vol_30 = max(stock['volume'][4: 24])
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if max_vol_30 < max_vol_5:
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if stock['open'][1] < stock['close'][1] and stock['volume'][1] < stock['volume'][0]:
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# if stock['open'][i - 1] < stock['close'][i - 1] and stock['volume'][i - 1] < stock['volume'][i]:
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# 1) 스토캐스틱 과매도
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slow_k_buy = False
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for idx in range(0, 10):
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if stock['slow_k'][idx] < 20:
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slow_k_buy = True
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break
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# 2) macd 교차 신호
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macd_buy = False
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if slow_k_buy:
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for idx in range(0, 10):
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if stock['macd'][idx+1] < 0 and stock['macds'][idx+1] < 0 and stock['macd'][idx] < 0 and stock['macds'][idx] < 0:
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if stock['macd'][idx+1] < stock['macds'][idx+1] and stock['macd'][idx] > stock['macds'][idx]:
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macd_buy = True
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break
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# 3) RSI 지수가 50위로 올라갈 때
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if macd_buy:
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if stock['rsi'][1] < 40 and stock['rsi'][0] > 40:
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return True
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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]:
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if stock['open'][0] < min(stock['close'][0], stock['avg5'][0], stock['avg20'][0], stock['avg60'][0], stock['avg120'][0]):
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if max(stock['volume'][:10]) * 4 < stock['volume'][0]:
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if stock['open'][0] < (stock['upper'][0] + stock['lower'][0]) / 2:
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return True
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if stock['avg200'][0] < stock['avg5'][0] and stock['avg200'][0] < stock['avg20'][0] and stock['avg200'][0] < stock['avg60'][0]:
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if stock['open'][0] < stock['close'][0]:
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if max(stock['volume'][:10]) * 3 < stock['volume'][0]:
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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:
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return True
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if stock['open'][1] < stock['close'][1] and stock['open'][0] < stock['close'][0]:
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if stock['volume'][1] * 10 < stock['volume'][0]:
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if stock['upper'][0] < stock['close'][0]:
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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:
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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:
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if stock['avg200'][0] < min(stock['open'][0], stock['close'][0], stock['avg5'][0], stock['avg20'][0], stock['avg60'][0]):
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return True
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check = False
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for c in range(10):
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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]:
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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]:
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check = True
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break
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if check and stock['close'][0] < stock['lower'][0]:
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return True
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return False
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# 낙폭 과대 체크
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def check_excessive_drop(self, stock):
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c_index = 200
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@@ -589,9 +651,9 @@ class Common:
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return False
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def check_under_BB_Low(self, stock):
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if stock['bolingerband_lower'][0] is not None and stock['bolingerband_lower'][1] is not None:
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if stock['lower'][0] is not None and stock['lower'][1] is not None:
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# bb 하단에 부딪힘
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if stock['close'][0] < stock['bolingerband_lower'][0]:
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if stock['close'][0] < stock['lower'][0]:
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return True
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return False
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