yfinance headlines

app.py

@@ -357,6 +357,48 @@ class TradingApp:
             st.header("Manual Trade")
             symbol = st.text_input('Enter stock symbol')
 
+            # --- Sentiment Check Feature (moved up) ---
+            sentiment_result = None
+            article_headlines = []
+            if st.button("Check Sentiment"):
+                if symbol:
+                    try:
+                        # Use NewsSentiment to get sentiment
+                        sentiment_dict = self.sentiment.get_news_sentiment([symbol])
+                        sentiment_result = sentiment_dict.get(symbol)
+                        # Try NewsAPI headlines first, fallback to yfinance if fails
+                        try:
+                            articles = self.sentiment.newsapi.get_everything(q=symbol, language='en', sort_by='publishedAt', page=1)
+                            article_headlines = [a['title'] for a in articles.get('articles', [])[:5]]
+                            if not article_headlines:
+                                raise Exception("No NewsAPI headlines")
+                        except Exception:
+                            # Fallback to yfinance headlines
+                            try:
+                                ticker = yf.Ticker(symbol)
+                                news_items = ticker.news if hasattr(ticker, "news") else []
+                                article_headlines = [item.get('title') for item in news_items[:5] if item.get('title')]
+                            except Exception:
+                                article_headlines = []
+                    except Exception as e:
+                        sentiment_result = None
+                        article_headlines = []
+                else:
+                    sentiment_result = None
+                    article_headlines = []
+
+            if sentiment_result is not None:
+                st.markdown(f"**Sentiment for {symbol.upper()}:** {sentiment_result if sentiment_result in ['Positive', 'Negative', 'Neutral'] else 'No sentiment available'}")
+            elif sentiment_result is None and st.session_state.get("Check Sentiment"):
+                st.markdown("**Sentiment:** No sentiment available")
+
+            if article_headlines:
+                st.markdown("**Recent Headlines:**")
+                for headline in article_headlines:
+                    st.write(f"- {headline}")
+            elif sentiment_result is not None and not article_headlines:
+                st.markdown("_No headlines available._")
+
             # Fetch the current stock price dynamically using Alpaca's API
             def get_stock_price(symbol):
                 try:
@@ -416,60 +458,6 @@ class TradingApp:
                 else:
                     st.error("Please enter a valid stock symbol and trade details.")
 
-            # --- Sentiment Check Feature ---
-            sentiment_result = None
-            article_headlines = []
-            if st.button("Check Sentiment"):
-                if symbol:
-                    try:
-                        # Use NewsSentiment to get sentiment and articles
-                        sentiment_dict = self.sentiment.get_news_sentiment([symbol])
-                        sentiment_result = sentiment_dict.get(symbol)
-                        # Try to fetch article headlines
-                        try:
-                            articles = self.sentiment.newsapi.get_everything(q=symbol, language='en', sort_by='publishedAt', page=1)
-                            article_headlines = [a['title'] for a in articles.get('articles', [])[:5]]
-                        except Exception as e:
-                            article_headlines = []
-                    except Exception as e:
-                        sentiment_result = None
-                        article_headlines = []
-                else:
-                    sentiment_result = None
-                    article_headlines = []
-
-            if sentiment_result is not None:
-                st.markdown(f"**Sentiment for {symbol.upper()}:** {sentiment_result if sentiment_result in ['Positive', 'Negative', 'Neutral'] else 'No sentiment available'}")
-            elif sentiment_result is None and st.session_state.get("Check Sentiment"):
-                st.markdown("**Sentiment:** No sentiment available")
-
-            if article_headlines:
-                st.markdown("**Recent Headlines:**")
-                for headline in article_headlines:
-                    st.write(f"- {headline}")
-            elif sentiment_result is not None and not article_headlines:
-                st.markdown("_No headlines available._")
-
-            # Display portfolio information in the sidebar
-            st.header("Alpaca Cash Portfolio")
-
-            def refresh_portfolio():
-                account = self.alpaca.alpaca.get_account()
-                portfolio_data = {
-                    "Metric": ["Cash Balance", "Buying Power", "Equity", "Portfolio Value"],
-                    "Value": [
-                        f"${int(float(account.cash)):,.0f}",
-                        f"${int(float(account.buying_power)):,.0f}",
-                        f"${int(float(account.equity)):,.0f}",
-                        f"${int(float(account.portfolio_value)):,.0f}"
-                    ]
-                }
-                df = pd.DataFrame(portfolio_data)
-                st.table(df.to_dict(orient="records"))  # Convert DataFrame to a list of dictionaries
-
-            refresh_portfolio()
-            st.button("Refresh Portfolio", on_click=refresh_portfolio)
-
     def auto_trade_based_on_sentiment(self, sentiment):
         """Execute trades based on sentiment analysis and return actions taken."""
         actions = self._execute_sentiment_trades(sentiment)