init
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@@ -117,12 +117,14 @@ class Simulation (HTS):
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upper = go.Scatter(x=data['date'], y=data["upper"], name="upper", line_color='#000000')
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lower = go.Scatter(x=data['date'], y=data["lower"], name="lower", line_color='#000000')
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avg5 = go.Scatter(x=data['date'], y=data["avg5"], name="avg5", line_color='#F81191')
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avg20 = go.Scatter(x=data['date'], y=data["avg20"], name="avg20", line_color='#097F19')
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avg30 = go.Scatter(x=data['date'], y=data["avg30"], name="avg30", line_color='#097F19')
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avg60 = go.Scatter(x=data['date'], y=data["avg60"], name="avg60", line_color='#671BEA')
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avg120 = go.Scatter(x=data['date'], y=data["avg120"], name="avg120", line_color='#DFB809')
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avg200 = go.Scatter(x=data['date'], y=data["avg200"], name="avg200", line_color='#000000')
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laggingSpan = go.Scatter(x=data['date'], y=data["laggingSpan"], name='laggingSpan', line_color='#B50ABB')
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changeLine = go.Scatter(x=data['date'], y=data["changeLine"], name='changeLine', line_color='#14A200')
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baseLine = go.Scatter(x=data['date'], y=data["baseLine"], name='baseLine', line_color='#CF6E0D')
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@@ -152,9 +154,9 @@ class Simulation (HTS):
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hoverinfo="text"
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)
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#candle_data = [candle_stick, upper, lower, avg5, avg20, avg30, avg60, avg120, avg200, buy_check, sell_check, laggingSpan, changeLine, baseLine]
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candle_data = [candle_stick, avg5, avg20, avg30, avg60, avg200, buy_check, sell_check]
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#candle_data = [candle_stick, avg5, avg200, buy_check, sell_check]
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#candle_data = [avg5, avg20, avg30, avg60, avg120, avg200, buy_check, sell_check, laggingSpan, changeLine, baseLine, upper, lower, candle_stick]
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candle_data = [avg5, avg20, avg30, avg60, avg200, buy_check, sell_check, upper, lower, candle_stick]
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#candle_data = [avg5, avg200, buy_check, sell_check, candle_stick]
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volume_data = [volume_line]
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disparity_data = [disparity_avg5, disparity_avg20, disparity_avg30, disparity_avg60, disparity_avg120, disparity_avg200]
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macd_data = [macd_line, macd_s_line, macd_o_line]
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@@ -253,22 +253,22 @@ class BuySellChecker:
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if stock_code in ("233740"):
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if data['macd'][i] < -10:
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if data['macd'][i-1] < -30:
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if data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]:
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buy, weight = data['close'][i], 3
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if stock_code in ("122630"):
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if data['macd'][i] < -15:
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if data['macd'][i-1] < -30:
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if data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]:
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buy, weight = data['close'][i], 2
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if stock_code in ("251340"):
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if data['macd'][i] < -3:
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if data['macd'][i-1] < -7:
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if data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]:
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buy, weight = data['close'][i], 3
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if stock_code in ("252670"):
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if data['macd'][i] < -1:
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if data['macd'][i-1] < -4:
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if data['macd'][i-1] < data['macds'][i-1] and data['macds'][i] < data['macd'][i]:
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buy, weight = data['close'][i], 3
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@@ -369,7 +369,8 @@ class BuySellChecker:
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slow_d = stochastic_df['slow_d'].values.tolist()
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# macd
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macd_df = self.macd.apply(STOCK, short=12, long=26, t=9)
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#macd_df = self.macd.apply(STOCK, short=12, long=26, t=9)
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macd_df = self.macd.apply(STOCK, short=5, long=20, t=5)
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macd = macd_df['macd'].values.tolist()
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macds = macd_df['macds'].values.tolist()
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macdo = macd_df['macdo'].values.tolist()
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@@ -23,9 +23,9 @@ class MACD:
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df = pd.DataFrame(df)
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# MACD 관련 수식
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ma_12 = df.close.ewm(span=short).mean() # 단기(12) EMA(지수이동평균)
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ma_26 = df.close.ewm(span=long).mean() # 장기(26) EMA
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macd = ma_12 - ma_26 # MACD
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ma_short = df.close.ewm(span=short).mean() # 단기(12) EMA(지수이동평균)
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ma_long = df.close.ewm(span=long).mean() # 장기(26) EMA
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macd = ma_short - ma_long # MACD
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macds = macd.ewm(span=t).mean() # Signal
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macdo = macd - macds # Oscillator
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