initial commit

README.md

@@ -1,6 +1,6 @@
 ---
 title: Ind Stock Analysis
-emoji: 🏆
+emoji: ₹
 authors:
 - user: Mohsin
 colorFrom: indigo

app.py

@@ -86,14 +86,17 @@ def main():
         actual_last_price = df["y"].iloc[-1]
         predicted_last_price = latest_forecast['yhat']
         sentiment = determine_sentiment(actual_last_price, predicted_last_price)
-        st.warning(f'The last available adjusted closing price for {ticker_symbol} on {end_date.strftime("%d %B %Y")} is **{actual_last_price:.2f}**.')
+        st.warning(f'The last available adjusted closing price for {ticker_symbol} on {end_date.strftime("%d %B %Y")} is **₹{actual_last_price:.2f}**.')
 
         if sentiment == 'Positive':
-            st.success(f"**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} -  {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates positive sentiment for {forecast_horizon.lower()} time frame.")
+            st.success(f"**Prediction: ₹{latest_forecast['yhat']:.2f}.**")
+            st.success(f"**Stoploss:** ₹{latest_forecast['yhat_lower']:.2f} **Target: **  {latest_forecast['yhat_upper']:.2f} **time frame: ** {forecast_horizon.lower()}.")
         elif sentiment == 'Negative':
-            st.error(f"**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} -  {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates negative sentiment for {forecast_horizon.lower()} time frame.")
+            st.error(f"**Prediction: ₹{latest_forecast['yhat']:.2f}.**")
+            st.error(f"**Stoploss:** ₹{latest_forecast['yhat_lower']:.2f} **Target: **  {latest_forecast['yhat_upper']:.2f} **time frame: ** {forecast_horizon.lower()}.")
         else:
-            st.info(f"**Predicted Price:** {latest_forecast['yhat']:.2f}. **Range:** {latest_forecast['yhat_lower']:.2f} -  {latest_forecast['yhat_upper']:.2f} \nOverall predication indicates neutral sentiment for {forecast_horizon.lower()} time frame.")      
+            st.info(f"**Prediction: ₹{latest_forecast['yhat']:.2f}.**")
+            st.info(f"**Stoploss:** ₹{latest_forecast['yhat_lower']:.2f} **Target: **  {latest_forecast['yhat_upper']:.2f} **time frame: ** {forecast_horizon.lower()}.")            
 
         st.markdown(f"""
             **Find below the prediction Data for the {forecast_horizon.lower()}:**