Update

scripts/build_historical_memories.py

@@ -27,11 +27,13 @@ logger = get_logger(__name__)
 
 
 def main():
-    logger.info("""
+    logger.info(
+        """
 ╔══════════════════════════════════════════════════════════════╗
 ║      TradingAgents - Historical Memory Builder               ║
 ╚══════════════════════════════════════════════════════════════╝
-    """)
+    """
+    )
 
     # Configuration
     tickers = [

scripts/build_strategy_specific_memories.py

@@ -89,7 +89,8 @@ def build_strategy_memories(strategy_name: str, config: dict):
 
     strategy = STRATEGIES[strategy_name]
 
-    logger.info(f"""
+    logger.info(
+        f"""
 ╔══════════════════════════════════════════════════════════════╗
 ║  Building Memories: {strategy_name.upper().replace('_', ' ')}
 ╚══════════════════════════════════════════════════════════════╝
@@ -98,7 +99,8 @@ Strategy: {strategy['description']}
 Lookforward: {strategy['lookforward_days']} days
 Sampling: Every {strategy['interval_days']} days
 Tickers: {', '.join(strategy['tickers'])}
-    """)
+    """
+    )
 
     # Date range - last 2 years
     end_date = datetime.now()
@@ -157,7 +159,8 @@ Tickers: {', '.join(strategy['tickers'])}
 
 
 def main():
-    logger.info("""
+    logger.info(
+        """
 ╔══════════════════════════════════════════════════════════════╗
 ║   TradingAgents - Strategy-Specific Memory Builder          ║
 ╚══════════════════════════════════════════════════════════════╝
@@ -168,7 +171,8 @@ This script builds optimized memories for different trading styles:
 2. Swing Trading    - 7-day returns, weekly samples
 3. Position Trading - 30-day returns, monthly samples
 4. Long-term        - 90-day returns, quarterly samples
-    """)
+    """
+    )
 
     logger.info("Available strategies:")
     for i, (name, config) in enumerate(STRATEGIES.items(), 1):
@@ -216,11 +220,13 @@ This script builds optimized memories for different trading styles:
 
     logger.info("\n" + "=" * 70)
     logger.info("\n💡 TIP: To use a specific strategy's memories, update your config:")
-    logger.info("""
+    logger.info(
+        """
     config = DEFAULT_CONFIG.copy()
     config["memory_dir"] = "data/memories/swing_trading"  # or your strategy
     config["load_historical_memories"] = True
-    """)
+    """
+    )
 
 
 if __name__ == "__main__":

scripts/update_positions.py

@@ -129,10 +129,12 @@ def main():
     6. Save updated positions
     7. Print progress messages
     """
-    logger.info("""
+    logger.info(
+        """
 ╔══════════════════════════════════════════════════════════════╗
 ║         TradingAgents - Position Updater                    ║
-╚══════════════════════════════════════════════════════════════╝""".strip())
+╚══════════════════════════════════════════════════════════════╝""".strip()
+    )
 
     # Initialize position tracker
     tracker = PositionTracker(data_dir="data")

tradingagents/ui/pages/todays_picks.py

@@ -110,9 +110,7 @@ def _build_dynamic_chart(history: pd.DataFrame, timeframe: str) -> tuple[go.Figu
             line=dict(color=line_color, width=2.8),
             fill="tozeroy",
             fillcolor=(
-                "rgba(34,197,94,0.18)"
+                "rgba(34,197,94,0.18)" if line_color == COLORS["green"] else "rgba(239,68,68,0.18)"
-                if line_color == COLORS["green"]
-                else "rgba(239,68,68,0.18)"
             ),
             hovertemplate=f"{timeframe}<br>%{{x|%b %d, %Y}}<br>$%{{y:.2f}}<extra></extra>",
             name=f"{timeframe} Focus",