init
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dsyoon
@@ -122,54 +122,57 @@ class AnalyzerSqlite:
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def draw(self, stock):
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# 참고) https://sjblog1.tistory.com/45
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ymd = list(reversed(stock['ymd']))
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open = list(reversed(stock['open']))
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close = list(reversed(stock['close']))
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high = list(reversed(stock['high']))
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low = list(reversed(stock['low']))
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volume = list(reversed(stock['volume']))
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avg3 = list(reversed(stock['avg3']))
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avg4 = list(reversed(stock['avg4']))
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avg5 = list(reversed(stock['avg5']))
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avg6 = list(reversed(stock['avg6']))
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avg10 = list(reversed(stock['avg10']))
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avg12 = list(reversed(stock['avg12']))
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avg20 = list(reversed(stock['avg20']))
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avg36 = list(reversed(stock['avg36']))
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avg40 = list(reversed(stock['avg40']))
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avg48 = list(reversed(stock['avg48']))
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avg60 = list(reversed(stock['avg60']))
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avg120 = list(reversed(stock['avg120']))
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avg240 = list(reversed(stock['avg240']))
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avg480 = list(reversed(stock['avg480']))
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disparity_avg5 = list(reversed(stock['disparity_avg5']))
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disparity_avg10 = list(reversed(stock['disparity_avg10']))
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disparity_avg20 = list(reversed(stock['disparity_avg20']))
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disparity_avg60 = list(reversed(stock['disparity_avg60']))
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disparity_avg120 = list(reversed(stock['disparity_avg120']))
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disparity_avg240 = list(reversed(stock['disparity_avg240']))
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disparity_avg480 = list(reversed(stock['disparity_avg480']))
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macd = list(reversed(stock['macd']))
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macdo = list(reversed(stock['macdo']))
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macds = list(reversed(stock['macds']))
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rsi = list(reversed(stock['rsi']))
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rsis = list(reversed(stock['rsis']))
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stochastic_slow_k = list(reversed(stock['slow_k']))
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stochastic_slow_d = list(reversed(stock['slow_d']))
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bolingerband_upper = list(reversed(stock['upper']))
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bolingerband_lower = list(reversed(stock['lower']))
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bolingerband_middle = list(reversed(stock['middle']))
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envelope_upper = list(reversed(stock['envelope_upper']))
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envelope_lower = list(reversed(stock['envelope_lower']))
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ichimokucloud_changeLine = list(reversed(stock['ichimokucloud_changeLine']))
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ichimokucloud_baseLine = list(reversed(stock['ichimokucloud_baseLine']))
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ymd = list(stock['ymd'])
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open = list(stock['open'])
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close = list(stock['close'])
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high = list(stock['high'])
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low = list(stock['low'])
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volume = list(stock['volume'])
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avg3 = list(stock['avg3'])
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avg4 = list(stock['avg4'])
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avg5 = list(stock['avg5'])
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avg6 = list(stock['avg6'])
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avg10 = list(stock['avg10'])
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avg12 = list(stock['avg12'])
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avg20 = list(stock['avg20'])
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avg36 = list(stock['avg36'])
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avg40 = list(stock['avg40'])
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avg48 = list(stock['avg48'])
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avg60 = list(stock['avg60'])
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avg120 = list(stock['avg120'])
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avg240 = list(stock['avg240'])
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avg480 = list(stock['avg480'])
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disparity_avg5 = list(stock['disparity_avg5'])
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disparity_avg10 = list(stock['disparity_avg10'])
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disparity_avg20 = list(stock['disparity_avg20'])
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disparity_avg60 = list(stock['disparity_avg60'])
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disparity_avg120 = list(stock['disparity_avg120'])
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disparity_avg240 = list(stock['disparity_avg240'])
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disparity_avg480 = list(stock['disparity_avg480'])
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macd = list(stock['macd'])
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macdo = list(stock['macdo'])
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macds = list(stock['macds'])
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rsi = list(stock['rsi'])
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rsis = list(stock['rsis'])
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stochastic_slow_k = list(stock['slow_k'])
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stochastic_slow_d = list(stock['slow_d'])
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bolingerband_upper = list(stock['upper'])
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bolingerband_lower = list(stock['lower'])
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bolingerband_middle = list(stock['middle'])
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envelope_upper = list(stock['envelope_upper'])
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envelope_lower = list(stock['envelope_lower'])
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ichimokucloud_changeLine = list(stock['ichimokucloud_changeLine'])
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ichimokucloud_baseLine = list(stock['ichimokucloud_baseLine'])
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ichimokucloud_laggingSpan = [laggingSpan if -1 < laggingSpan else None for laggingSpan in stock['ichimokucloud_laggingSpan']]
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ichimokucloud_laggingSpan = list(reversed(ichimokucloud_laggingSpan))
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ichimokucloud_leadingSpan1 = list(reversed(stock['ichimokucloud_leadingSpan1']))
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ichimokucloud_leadingSpan2 = list(reversed(stock['ichimokucloud_leadingSpan2']))
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trend = list(reversed(stock['trend']))
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trend_s = list(reversed(stock['trend_s']))
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trend_k = list(reversed(stock['trend_k']))
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ichimokucloud_laggingSpan = list(ichimokucloud_laggingSpan)
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ichimokucloud_leadingSpan1 = list(stock['ichimokucloud_leadingSpan1'])
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ichimokucloud_leadingSpan2 = list(stock['ichimokucloud_leadingSpan2'])
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trend = list(stock['trend'])
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trend_s = list(stock['trend_s'])
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trend_k = list(stock['trend_k'])
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last_min = list(stock['last_min'])
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last_middle = list(stock['last_middle'])
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last_max = list(stock['last_max'])
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# general
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candle_stick = go.Candlestick(x=ymd,
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@@ -201,9 +204,12 @@ class AnalyzerSqlite:
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trend = go.Scatter(x=ymd, y=trend, name="trend", line_color='#574e4c')
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trend_k = go.Scatter(x=ymd, y=trend_k, name="trend_k", line_color='#ff0000')
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trend_s = go.Scatter(x=ymd, y=trend_s, name="trend_s", line_color='#0000ff')
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last_min = go.Scatter(x=ymd, y=last_min, name="last_min", line_color='#ff0000')
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last_middle = go.Scatter(x=ymd, y=last_middle, name="last_middle", line_color='#574e4c')
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last_max = go.Scatter(x=ymd, y=last_max, name="last_max", line_color='#0000ff')
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candle_data = [trend, trend_k, trend_s, avg5, avg20, avg60, avg120, avg240, avg480, bolinger_upper, bolinger_lower, changeLine, baseLine, laggingSpan, candle_stick]
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candle_data = [trend, trend_k, trend_s, avg5, avg20, avg60, avg120, avg240, avg480, bolinger_upper, bolinger_lower, changeLine, baseLine, laggingSpan, last_min, last_max, last_middle, candle_stick]
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#candle_data = [candle_stick, trend, trend_k, trend_s, avg5, avg10, avg20, avg60, avg120, avg240, bolinger_upper, bolinger_lower, env_upper, env_lower, changeLine, baseLine]
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#candle_data = [avg5, avg20, trend, trend_k, trend_s, changeLine, baseLine, laggingSpan, candle_stick]
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@@ -236,7 +242,7 @@ class AnalyzerSqlite:
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fig = subplots.make_subplots(
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rows=6, cols=1,
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subplot_titles=("MACD", "스토캐스틱", "RSI", "이격도", "거래량", '캔들'),
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subplot_titles=("MACD", "스토캐스틱", "RSI", "이격도", "거래량", '캔들', ),
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# specs=[[{}], [{}], [{}], [{}], [{}], [{}]],
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shared_xaxes=True, horizontal_spacing=0.03, vertical_spacing=0.01,
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row_heights=[200, 200, 200, 200, 200, 800]
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@@ -286,9 +292,9 @@ class AnalyzerSqlite:
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return energy1, energy2
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def writeSummary(self, param):
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bull = list(reversed(param['bull']))
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bear = list(reversed(param['bear']))
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even = list(reversed(param['even']))
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bull = list(param['bull'])
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bear = list(param['bear'])
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even = list(param['even'])
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ymd = [i for i in range(len(bull))]
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bull_line = go.Scatter(x=ymd, y=bull, name="bull", line_color='#FF33A2')
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@@ -967,13 +973,12 @@ class AnalyzerSqlite:
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stock = {"CODE": item[0], "NAME": item[1], "PRICE":[]}
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print("Daily # :", rowid, ", CODE: ", stock['CODE'], ", NAME: ", stock['NAME'])
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sql = 'SELECT ymd, close, diff, open, high, low, volume FROM ' + stockTableName + ' where CODE=? order by ymd desc '
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sql = 'SELECT ymd, close, diff, open, high, low, volume FROM ' + stockTableName + ' where CODE=? order by ymd '
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sql += ' limit 500'
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cursor.execute(sql, (stock['CODE'],))
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items = cursor.fetchall()
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items_reverse = reversed(items)
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for item in items_reverse:
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for item in items:
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stock['PRICE'].append( self.setItem(item) )
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self.analyzeAdditionalInfo(stock, cursor)
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@@ -998,13 +1003,12 @@ class AnalyzerSqlite:
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stock = {"CODE": item[0], "NAME": item[1], "PRICE": []}
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print(type, "# :", rowid, ", CODE: ", stock['CODE'], ", NAME: ", stock['NAME'])
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sql = 'SELECT ymd, close, diff, open, high, low, volume FROM ' + stockTableName + ' where CODE=? order by ymd desc '
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sql = 'SELECT ymd, close, diff, open, high, low, volume FROM ' + stockTableName + ' where CODE=? order by ymd '
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#sql += ' limit 350'
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cursor.execute(sql, (stock['CODE'],))
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items = cursor.fetchall()
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items_reverse = reversed(items)
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for item in items_reverse:
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for item in items:
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stock['PRICE'].append(
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self.setItem(item)
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)
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