Update app.py

app.py

@@ -133,8 +133,19 @@ def btc_decision(market_insights: Dict[str, Any]) -> Dict[str, str]:
     """
     Aggregates market insights to suggest a Buy, Sell, or HODL decision.
 
-    :param market_insights: BTC market data from the market insights tool.
-    :return: A dictionary mapping timeframes to a decision ("BUY 🚀", "SELL 📉", or "HODL 🤔").
+    :param market_insights: A dictionary containing BTC market data. It must include:
+         - 'price': Current BTC price in USD.
+         - '24h_change': 24-hour price change percentage.
+         - 'ma_5m': 5-minute moving average.
+         - 'ma_1h': 1-hour moving average.
+         - 'ma_1d': 1-day moving average.
+         - 'ma_7d': 7-day moving average.
+         - 'ma_1m': 1-month moving average.
+         - 'ma_1y': 1-year moving average.
+         - 'fear_greed': Current Fear & Greed index value.
+         - 'fgi_text': Classification text for the Fear & Greed index.
+    :return: A dictionary mapping timeframes (e.g., "5m-1H", "1D", "7D", "1M", "1Y") to a decision 
+             ("BUY 🚀", "SELL 📉", or "HODL 🤔").
     """
     btc_price = market_insights["price"]
     fgi = int(market_insights["fear_greed"])
@@ -156,7 +167,6 @@ def btc_decision(market_insights: Dict[str, Any]) -> Dict[str, str]:
         "1Y": "HODL 🤔"
     }
 
-    # Helper function to update decision based on parameters
     def make_decision(timeframe: str, ma: float) -> str:
         if btc_price > ma and fgi < 40:
             decision[timeframe] = "BUY 🚀"