diff --git a/stockpredictor/analysis/RSI.py b/stockpredictor/analysis/RSI.py
index 0dca0e3..a0db0f9 100644
--- a/stockpredictor/analysis/RSI.py
+++ b/stockpredictor/analysis/RSI.py
@@ -1,9 +1,6 @@
 import pandas as pd
 from stockpredictor.analysis.Common import Common
-from plotly import tools, subplots
 import numpy as np
-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
@@ -20,27 +17,6 @@ class RSI:
         self.common = Common()
         return
 
-    def draw(self, stock):
-        item_name = stock["NAME"]
-        item_code = stock["CODE"]
-
-        df = pd.DataFrame(stock["PRICE"])
-        rsi = go.Scatter(x=df.DATE, y=df['rsi'], name="RSI")
-        signal = go.Scatter(x=df.DATE, y=df['rsis'], name="RSI Signal")
-        data = [rsi, signal]
-
-        layout = go.Layout(title='{} RSI 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 = go.Figure(data=data, layout=layout)
-
-        path = "/Users/dsyoon/workspace/StockPredictor/resources/analysis/html"
-        po.write_html(fig, file=path + "/rsi" + item_code+'.html', auto_open=False)
-        return fig
-
     def apply(sefl, df, period=14):
         # df.diff를 통해 (기준일 종가 - 기준일 전일 종가)를 계산하여 0보다 크면 증가분을 감소했으면 0을 넣어줌
         U = np.where(df.close.diff(1) > 0, df.close.diff(1), 0)