Update app.py

app.py

@@ -285,6 +285,7 @@ st.title('Technical Analysis Indicators')
 
 # Sidebar for method selection
 with st.sidebar.expander("Method Selection", expanded=True):
+    st.write("Select an indicator to analyze the stock or crypto data.")
     selected = st.radio("Select Indicator", ["Rolling Z-Score", "Rate of Change (ROC)", "Stochastic Oscillator", "Relative Strength Index (RSI)", "MACD", "Bollinger Bands", "K Reversal", "Awesome Oscillator", "Williams %R", "Aroon Oscillator"])
 
 # Sidebar for "How to Use" instructions specific to the selected method
@@ -374,9 +375,10 @@ with st.sidebar.expander("How to Use", expanded=False):
 
 # Sidebar for input parameters inside an expander
 with st.sidebar.expander("Input Parameters", expanded=True):
-    ticker = st.text_input('Enter Stock or Crypto Symbol (e.g., AAPL or BTC-USD)', 'AAPL')
-    start_date = st.date_input('Start Date', pd.to_datetime('2019-01-01'))
-    end_date = st.date_input('End Date', pd.to_datetime(pd.Timestamp.now().date() + pd.Timedelta(days=1)))
+    st.write("Set the parameters for data fetching and analysis.")
+    ticker = st.text_input('Enter Stock or Crypto Symbol (e.g., AAPL or BTC-USD)', 'AAPL', help="Enter the ticker symbol for the stock or cryptocurrency you want to analyze.")
+    start_date = st.date_input('Start Date', pd.to_datetime('2019-01-01'), help="Select the start date for the data range.")
+    end_date = st.date_input('End Date', pd.to_datetime(pd.Timestamp.now().date() + pd.Timedelta(days=1)), help="Select the end date for the data range.")
 
 # Fetch data
 if 'data' not in st.session_state or st.sidebar.button('Fetch Data'):
@@ -409,9 +411,9 @@ if selected == "Rolling Z-Score":
            - **Oversold Condition:** Z-score below a set threshold (e.g., -2.0) suggests the stock may be oversold.
         """)
 
-    periods = st.sidebar.multiselect('Periods to Compare', options=[10, 20, 30, 40, 50], default=[20])
-    z_thresh = st.sidebar.slider('Z-Score Threshold', min_value=0.5, max_value=3.0, value=2.0, step=0.1)
-    n_days = st.sidebar.number_input('Number of Days', min_value=1, value=10)
+    periods = st.sidebar.multiselect('Periods to Compare', options=[10, 20, 30, 40, 50], default=[20], help="Select multiple periods to compare the rolling z-scores.")
+    z_thresh = st.sidebar.slider('Z-Score Threshold', min_value=0.5, max_value=3.0, value=2.0, step=0.1, help="Set the z-score threshold for identifying overbought and oversold conditions.")
+    n_days = st.sidebar.number_input('Number of Days', min_value=1, value=10, help="Set the number of days to shift for future price comparison.")
     fig = plot_z_score(close_prices, periods, z_thresh, n_days)
     st.plotly_chart(fig)
 
@@ -434,7 +436,7 @@ elif selected == "Rate of Change (ROC)":
            - **Sell Signal:** Occurs when the ROC crosses below zero, indicating potential downward momentum.
         """)
 
-    n_days = st.sidebar.number_input('Number of Days', min_value=1, value=14)
+    n_days = st.sidebar.number_input('Number of Days', min_value=1, value=14, help="Set the number of days for the ROC calculation.")
     fig = plot_roc(close_prices, n_days)
     st.plotly_chart(fig)
 
@@ -458,8 +460,8 @@ elif selected == "Stochastic Oscillator":
            - **Sell Signal:** Occurs when %K crosses below a set threshold (e.g., 80), indicating potential downward momentum.
         """)
 
-    buy_thresh = st.sidebar.slider('Stochastic Buy Threshold', min_value=0, max_value=100, value=5)
-    sell_thresh = st.sidebar.slider('Stochastic Sell Threshold', min_value=0, max_value=100, value=95)
+    buy_thresh = st.sidebar.slider('Stochastic Buy Threshold', min_value=0, max_value=100, value=5, help="Set the threshold for generating buy signals using the Stochastic Oscillator.")
+    sell_thresh = st.sidebar.slider('Stochastic Sell Threshold', min_value=0, max_value=100, value=95, help="Set the threshold for generating sell signals using the Stochastic Oscillator.")
     fig = plot_stochastic_oscillator(data, buy_thresh, sell_thresh)
     st.plotly_chart(fig)
 
@@ -483,8 +485,8 @@ elif selected == "Relative Strength Index (RSI)":
            - **Sell Signal:** Occurs when the RSI crosses above a set threshold (e.g., 70), indicating the stock may be overbought.
         """)
 
-    buy_thresh = st.sidebar.slider('RSI Buy Threshold', min_value=0, max_value=100, value=30)
-    sell_thresh = st.sidebar.slider('RSI Sell Threshold', min_value=0, max_value=100, value=70)
+    buy_thresh = st.sidebar.slider('RSI Buy Threshold', min_value=0, max_value=100, value=30, help="Set the RSI threshold for generating buy signals.")
+    sell_thresh = st.sidebar.slider('RSI Sell Threshold', min_value=0, max_value=100, value=70, help="Set the RSI threshold for generating sell signals.")
     fig = plot_rsi(close_prices, buy_thresh, sell_thresh)
     st.plotly_chart(fig)
 
@@ -559,9 +561,9 @@ elif selected == "K Reversal":
            - **Sell Signal:** Occurs when the K value crosses above a set threshold (e.g., 80), indicating the stock may be overbought.
         """)
 
-    k_period = st.sidebar.number_input('K Reversal Period', min_value=1, value=14)
-    k_buy_thresh = st.sidebar.slider('K Reversal Buy Threshold', min_value=0.0, max_value=100.0, value=10.0)
-    k_sell_thresh = st.sidebar.slider('K Reversal Sell Threshold', min_value=0.0, max_value=100.0, value=90.0)
+    k_period = st.sidebar.number_input('K Reversal Period', min_value=1, value=14, help="Set the period for calculating the K Reversal.")
+    k_buy_thresh = st.sidebar.slider('K Reversal Buy Threshold', min_value=0.0, max_value=100.0, value=10.0, help="Set the threshold for generating buy signals using the K Reversal indicator.")
+    k_sell_thresh = st.sidebar.slider('K Reversal Sell Threshold', min_value=0.0, max_value=100.0, value=90.0, help="Set the threshold for generating sell signals using the K Reversal indicator.")
     fig = plot_k_reversal(data, k_period, k_buy_thresh, k_sell_thresh)
     st.plotly_chart(fig)
 
@@ -593,9 +595,9 @@ elif selected == "Awesome Oscillator":
            - **Sell Signal:** Occurs when the AO crosses below the signal line, indicating potential downward momentum.
         """)
 
-    signal_period = st.sidebar.number_input('Signal Line Period', min_value=1, value=9)
-    ao_buy_thresh = st.sidebar.slider('AO Buy Threshold', min_value=-100.0, max_value=100.0, value=0.0)
-    ao_sell_thresh = st.sidebar.slider('AO Sell Threshold', min_value=-100.0, max_value=100.0, value=0.0)
+    signal_period = st.sidebar.number_input('Signal Line Period', min_value=1, value=9, help="Set the period for the signal line in the Awesome Oscillator.")
+    ao_buy_thresh = st.sidebar.slider('AO Buy Threshold', min_value=-100.0, max_value=100.0, value=0.0, help="Set the threshold for generating buy signals using the Awesome Oscillator.")
+    ao_sell_thresh = st.sidebar.slider('AO Sell Threshold', min_value=-100.0, max_value=100.0, value=0.0, help="Set the threshold for generating sell signals using the Awesome Oscillator.")
     fig = plot_awesome_oscillator(data, signal_period, ao_buy_thresh, ao_sell_thresh)
     st.plotly_chart(fig)
 
@@ -619,9 +621,9 @@ elif selected == "Williams %R":
            - **Sell Signal:** Occurs when the Williams %R crosses above a set threshold (e.g., -20), indicating the stock may be overbought.
         """)
 
-    williams_r_period = st.sidebar.number_input('Look-back Period', min_value=1, value=14)
-    williams_r_buy_thresh = st.sidebar.slider('Williams %R Buy Threshold', min_value=-100.0, max_value=0.0, value=-90.0)
-    williams_r_sell_thresh = st.sidebar.slider('Williams %R Sell Threshold', min_value=-100.0, max_value=0.0, value=-10.0)
+    williams_r_period = st.sidebar.number_input('Look-back Period', min_value=1, value=14, help="Set the look-back period for the Williams %R calculation.")
+    williams_r_buy_thresh = st.sidebar.slider('Williams %R Buy Threshold', min_value=-100.0, max_value=0.0, value=-90.0, help="Set the threshold for generating buy signals using Williams %R.")
+    williams_r_sell_thresh = st.sidebar.slider('Williams %R Sell Threshold', min_value=-100.0, max_value=0.0, value=-10.0, help="Set the threshold for generating sell signals using Williams %R.")
     fig = plot_williams_r(data, williams_r_period, williams_r_buy_thresh, williams_r_sell_thresh)
     st.plotly_chart(fig)
 
@@ -657,13 +659,14 @@ elif selected == "Aroon Oscillator":
            - **Sell Signal:** Occurs when the Aroon Oscillator crosses below zero, indicating a potential downward trend.
         """)
 
-    aroon_period = st.sidebar.number_input('Look-back Period', min_value=1, value=25)
+    aroon_period = st.sidebar.number_input('Look-back Period', min_value=1, value=25, help="Set the look-back period for the Aroon Oscillator calculation.")
     aroon_osc = aroon_oscillator(data, aroon_period)
     buy_signals = (aroon_osc > 0) & (aroon_osc.shift(1) <= 0)
     sell_signals = (aroon_osc < 0) & (aroon_osc.shift(1) >= 0)
     fig = plot_aroon(data, aroon_osc, buy_signals, sell_signals)
     st.plotly_chart(fig)
 
+# Hide the default Streamlit menu and footer
 hide_streamlit_style = """
 <style>
 #MainMenu {visibility: hidden;}