Update app.py

app.py

@@ -11,11 +11,12 @@ import yfinance as yf
 import panel as pn
 
 @pn.cache
-def get_df(ticker, startdate , enddate , interval="1d",window=50):
+def get_df(ticker, startdate , enddate , interval="1d",window=50,window2=150):
     # interval="1d"
     # get_df(ticker ="PG", startdate="2000-01-01" , enddate="2023-09-01" , interval="1d")
     DF = yf.Ticker(ticker).history(start=startdate,end=enddate,interval=interval)
     DF['SMA'] = DF.Close.rolling(window=window).mean()
+    DF['SMA2'] = DF.Close.rolling(window=window2).mean()
     DF = DF.reset_index()
     return DF 
 
@@ -188,7 +189,8 @@ def calc_fairprice_DnetP(ticker):
 tickers = pd.read_csv('tickers.csv').Ticker.to_list()
 ticker = pn.widgets.AutocompleteInput(name='Ticker', options=tickers , placeholder='Write Ticker here همین جا')
 ticker.value = "AAPL"
-window = pn.widgets.IntSlider(name='Window Size', value=200, start=5, end=1000, step=5)
+window = pn.widgets.IntSlider(name='Window Size', value=50, start=5, end=1000, step=5)
+window2 = pn.widgets.IntSlider(name='Window Size', value=150, start=5, end=1000, step=5)
 
 # Create a DatePicker widget with a minimum date of 2000-01-01
 date_start = pn.widgets.DatePicker(
@@ -207,11 +209,11 @@ date_start.value = date(2010,1,1)
 date_end.value = date.today()
 
 pn.Row(
-    pn.Column( ticker, window , date_start , date_end),
+    pn.Column( ticker, window , window2, date_start , date_end),
     # pn.bind(calc_fairprice_CDF,ticker),
     # pn.bind(calc_fairprice_DnetP,ticker)),
     # pn.panel(pn.bind(get_hvplot, ticker, "2010-01-01","2023-09-01","1d")) #, sizing_mode='stretch_width')
-    pn.panel(pn.bind(get_hvplot, ticker, date_start , date_end,"1d",window)), #, sizing_mode='stretch_width')
+    pn.panel(pn.bind(get_hvplot, ticker, date_start , date_end,"1d",window,windows2)), #, sizing_mode='stretch_width')
     pn.panel(pn.bind(get_income_hvplot, ticker))    #, sizing_mode='stretch_width')    
 ).servable(title="Under Valued Screener- Linear Regression")