fix: address Gemini review comments

- Fix RSI NaN handling for edge cases (flat prices, only gains/losses)
- Refactor imports to follow PEP 8 ordering (stdlib → third-party → local)
- Add explicit handling for all RSI edge cases with proper values

Co-authored-by: AI Assistant <assistant@openclaw.ai>

tradingagents/dashboards/momentum/__init__.py

@@ -58,18 +58,32 @@ class MomentumIndicator:
         delta = data.diff()
         gain = (delta.where(delta > 0, 0)).rolling(window=period).mean()
         loss = (-delta.where(delta < 0, 0)).rolling(window=period).mean()
-        # Handle division by zero and NaN values
-        loss = loss.replace(0, np.nan)
-
-        # When both gain and loss are zero (no price change), return neutral RSI of 50
-        # Otherwise compute RS and RSI
-        rs = gain / loss
-        rsi = 100 - (100 / (1 + rs))
-
-        # Fill NaN values:
-        # - When loss was NaN (no downtrends), RSI should be 100
-        # - When gain and loss were both 0 (no price change), RSI should be 50
-        return rsi.fillna(100 if loss.isna().any() else 50)
+        
+        # Initialize RSI series
+        rsi = pd.Series(index=data.index, dtype=float)
+        
+        for i in range(len(data)):
+            g = gain.iloc[i]
+            l = loss.iloc[i]
+            
+            # Handle special cases
+            if pd.isna(g) or pd.isna(l):
+                rsi.iloc[i] = np.nan
+            elif l == 0 and g == 0:
+                # No price movement - neutral RSI
+                rsi.iloc[i] = 50.0
+            elif l == 0:
+                # Only gains - maximum strength
+                rsi.iloc[i] = 100.0
+            elif g == 0:
+                # Only losses - minimum strength
+                rsi.iloc[i] = 0.0
+            else:
+                # Normal RSI calculation
+                rs = g / l
+                rsi.iloc[i] = 100 - (100 / (1 + rs))
+        
+        return rsi
 
 
 class MomentumScanner:

tradingagents/dashboards/momentum/app.py

@@ -4,19 +4,22 @@ Momentum Dashboard - Streamlit Web UI
 Run: streamlit run app.py
 """
 
-import streamlit as st
+# Standard library imports
+import os
+import sys
+from datetime import datetime, timedelta
+
+# Third-party imports
 import pandas as pd
 import plotly.graph_objects as go
-from plotly.subplots import make_subplots
-from datetime import datetime, timedelta
-import sys
-import os
+import streamlit as st
 import yfinance as yf
+from plotly.subplots import make_subplots
 
-# Add parent directory to path for proper module imports
+# Local imports (add path first for module resolution)
 sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
-
-from tradingagents.dashboards.momentum import MomentumScanner, MomentumIndicator, MAGNIFICENT_SEVEN, get_top_momentum_stocks
+from tradingagents.dashboards.momentum import (MAGNIFICENT_SEVEN, MomentumIndicator,
+                                               MomentumScanner, get_top_momentum_stocks)
 
 
 # Page config