init

stockpredictor/analysis/MACD.py

@@ -1,9 +1,5 @@
 import pandas as pd
 from stockpredictor.analysis.Common import Common
-from plotly import tools, subplots
-import plotly.offline as offline
-import plotly.graph_objs as go
-import plotly.io as po
 
 # [청송촌놈] 파생을 알아야 시장이 보인다. 청송이 종목 고르는법! https://www.youtube.com/watch?v=weABtgZDeGg
 # 6. Pandas와 Plotly를 이용한 MACD 차트 그리기 https://excelsior-cjh.tistory.com/110
@@ -20,31 +16,6 @@ class MACD:
         self.common = Common()
         return
 
-    def draw(self, stock):
-        item_name = stock["NAME"]
-        item_code = stock["CODE"]
-
-        df = pd.DataFrame(stock["PRICE"])
-        macd = go.Scatter(x=df.DATE, y=df['macd'], name="MACD")
-        signal = go.Scatter(x=df.DATE, y=df['macds'], name="Signal")
-        oscillator = go.Bar(x=df.DATE, y=df['macdo'], name="oscillator")
-        trade_volume = go.Bar(x=df.DATE, y=df['volume'], name="volume")
-        data = [macd, signal, oscillator]
-
-        layout = go.Layout(title='{} MACD 그래프'.format(item_name))
-        fig = subplots.make_subplots(rows=2, cols=1, shared_xaxes=True)
-
-        for trace in data:
-            fig.append_trace(trace, 1,1)
-
-        fig.append_trace(trade_volume, 2,1)
-        fig = go.Figure(data=data, layout=layout)
-
-        path = "/Users/dsyoon/workspace/StockPredictor/resources/analysis/html"
-        po.write_html(fig, file=path + "/macd_" + item_code+'.html', auto_open=False)
-        return fig
-
-
     # macd 0선 위에서 매수를 한다. 0이하는 절대 처다보지 않는다.
     def apply(self, df, short=12, long=26, t=9):
         # 입력받은 값이 dataframe이라는 것을 정의해줌