Upload forecaster_cli.py

forecaster_cli.py

@@ -159,13 +159,21 @@ def get_prediction(ticker):
     decision = "BUY" if prob > 0.65 else "PASS"
     reasoning = generate_reasoning(features, tier, prob)
     
+    import math
+    clean_features = {}
+    for k, v in features.items():
+        if isinstance(v, float) and math.isnan(v):
+            clean_features[k] = None
+        else:
+            clean_features[k] = v
+
     return {
         "Ticker": ticker,
         "Tier": tier,
         "Decision": decision,
         "Confidence": prob,
         "Reasoning": reasoning,
-        "Features": features
+        "Features": clean_features
     }
 
 def run_inference(ticker):