Update app.py

app.py

@@ -6,45 +6,43 @@ import datetime
 
 # App title
 st.markdown('''
-# Stock Price App
-Shown are the stock price data for query companies!
+# Sovrenn Market Sentiment Indicator App
+Shown are the stock price data for the selected company!
 
 **Credits**
-- App built by [Chanin Nantasenamat](https://medium.com/@chanin.nantasenamat) (aka [Data Professor](http://youtube.com/dataprofessor))
-- Built in `Python` using `streamlit`,`yfinance`, `cufflinks`, `pandas` and `datetime`
+- App built by SRL
 ''')
 st.write('---')
 
 # Sidebar
 st.sidebar.subheader('Query parameters')
 start_date = st.sidebar.date_input("Start date", datetime.date(2019, 1, 1))
-end_date = st.sidebar.date_input("End date", datetime.date(2021, 1, 31))
+end_date = st.sidebar.date_input("End date", datetime.date(2023, 9, 30))
 
-# Retrieving tickers data
-ticker_list = pd.read_csv('https://raw.githubusercontent.com/dataprofessor/s-and-p-500-companies/master/data/constituents_symbols.txt')
-tickerSymbol = st.sidebar.selectbox('Stock ticker', ticker_list) # Select ticker symbol
-tickerData = yf.Ticker(tickerSymbol) # Get ticker data
-tickerDf = tickerData.history(period='1d', start=start_date, end=end_date) #get the historical prices for this ticker
+# User input for the stock ticker symbol
+tickerSymbol = "^NSEI"
 
+if tickerSymbol:
+    tickerData = yf.Ticker(tickerSymbol)  # Get ticker data
+    tickerDf = tickerData.history(period='1d', start=start_date, end=end_date)  # Get the historical prices for this ticker
 
+    string_name = tickerData.info['longName']
+    st.header('**%s**' % string_name)
 
-string_name = tickerData.info['longName']
-st.header('**%s**' % string_name)
+    string_summary = tickerData.info['longBusinessSummary']
+    st.info(string_summary)
 
-string_summary = tickerData.info['longBusinessSummary']
-st.info(string_summary)
+    # Ticker data
+    st.header('**Ticker data**')
+    st.write(tickerDf)
 
-# Ticker data
-st.header('**Ticker data**')
-st.write(tickerDf)
+    # Bollinger bands
+    st.header('**Bollinger Bands**')
+    qf = cf.QuantFig(tickerDf, title='First Quant Figure', legend='top', name='GS')
+    qf.add_bollinger_bands()
+    fig = qf.iplot(asFigure=True)
+    st.plotly_chart(fig)
+else:
+    st.warning("Please enter a valid Stock Ticker Symbol.")
 
-# Bollinger bands
-st.header('**Bollinger Bands**')
-qf=cf.QuantFig(tickerDf,title='First Quant Figure',legend='top',name='GS')
-qf.add_bollinger_bands()
-fig = qf.iplot(asFigure=True)
-st.plotly_chart(fig)
-
-####
-#st.write('---')
-#st.write(tickerData.info)
+# You can remove the code for displaying the S&P 500 company symbols and information