Update sentiment_analyzer.py

sentiment_analyzer.py

@@ -13,52 +13,51 @@ class SentimentAnalyzer:
             "Technical breakout above resistance level",
             "Profit-taking observed after recent rally"
         ]
-        self.bitcoin_sources = [
-            "Institutional adoption of Bitcoin accelerates",
-            "Regulatory clarity improves - positive for crypto",
-            "Bitcoin halving event supports price",
-            "Macro uncertainty drives Bitcoin demand",
-            "Spot ETF inflows reach record highs",
-            "Network hash rate reaches new ATH",
-            "Whale accumulation detected on-chain",
-            "DeFi TVL growth supports crypto market"
+        self.crypto_sources = [
+            "Fed rate hike fear drives BTC sell-off",
+            "Institutional adoption pushes Bitcoin price up",
+            "Whale wallets show large accumulation activity",
+            "Regulatory uncertainty weighs on crypto market",
+            "New protocol launch fuels altcoin rally",
+            "ETF approval anticipation creates bullish momentum",
+            "High funding rates suggest market overheating",
+            "Tether minting correlates with short-term pumps"
         ]
     
-    def analyze_sentiment(self, asset_name):
-        """Analyze sentiment for selected asset"""
+    def analyze_market_sentiment(self, ticker):
+        """Analyze sentiment for a given market (Simulated)"""
         try:
-            # Select appropriate news sources
-            if "Bitcoin" in asset_name:
-                sources = self.bitcoin_sources
-            else:
+            # PENTING: Untuk sentimen riil, Anda harus mengintegrasikan API Berita Finansial (misalnya Finnhub, MarketAux)
+            # dan model NLP (misalnya BERT/Transformer) untuk menganalisis berita secara aktual.
+            
+            # Memilih sumber data dan warna berdasarkan Ticker
+            if ticker == "BTC-USD":
+                base_sentiment = random.uniform(-0.3, 0.7)
+                sources = self.crypto_sources
+                title_color = "#FFA500"
+            else: # GC=F
+                base_sentiment = random.uniform(-0.5, 0.5)
                 sources = self.gold_sources
-                        
-            # Generate random sentiment around current market conditions
-            base_sentiment = random.uniform(-0.5, 0.5)
-                        
-            # Add some realistic variation
-            if random.random() > 0.7:
-                # Strong sentiment event
-                sentiment = base_sentiment + random.uniform(-0.5, 0.5)
-            else:
-                sentiment = base_sentiment
-
-            # Clamp between -1 and 1
+                title_color = "#FFD700"
+            
+            # Simulasi analisis sentimen
+            sentiment = base_sentiment + random.uniform(-0.2, 0.2)
             sentiment = max(-1, min(1, sentiment))
-                        
+            
             # Generate news summary
-            num_news = random.randint(3, 6)
+            num_news = random.randint(3, 5)
             selected_news = random.sample(sources, num_news)
-                        
-            news_html = f"<div style='max-height: 300px; overflow-y: auto;'>"
-            news_html += f"<h4 style='color: #4169E1;'>{asset_name} Market News</h4>"
-                        
-            for i, news in enumerate(selected_news, 1):
-                sentiment_label = "🟢" if "positive" in news or "rising" in news or "support" in news or "accelerates" in news or " ATH" in news else \
-                                  "🔴" if "weighs" in news or "outflows" in news or "Profit-taking" in news else \
+            
+            # Tampilan News (menggunakan background terang #E0E0E0 agar terlihat di tema putih)
+            news_html = "<div style='max-height: 200px; overflow-y: auto; color: black;'>"
+            news_html += f"<h4 style='color: {title_color};'>Latest {ticker} News (Simulated)</h4>"
+            
+            for news in selected_news:
+                sentiment_label = "🟢" if "positive" in news or "rising" in news or "support" in news or "bullish" in news or "accumulation" in news else \
+                                  "🔴" if "sell-off" in news or "weighs" in news or "outflows" in news or "Profit-taking" in news or "fear" in news else \
                                   "🟡"
-                news_html += f"<p style='margin: 10px 0; padding: 10px; background: rgba(65,105,225,0.05); border-radius: 5px;'>{sentiment_label} {news}</p>"
-                        
+                news_html += f"<p style='margin: 10px 0; padding: 10px; background: #E0E0E0; border-radius: 5px; color: black;'>{sentiment_label} {news}</p>"
+            
             news_html += "</div>"
             
             return sentiment, news_html