fix fear and greed and market analyst symbol

cli/main.py

@@ -432,7 +432,7 @@ def get_user_selections():
     # Step 1: Ticker symbol
     console.print(
         create_question_box(
-            "Step 1: Ticker Symbol", "Enter the ticker symbol to analyze", "SPY"
+            "Step 1: Ticker Symbol", "Enter the ticker symbol to analyze", "BTC/USDT"
         )
     )
     selected_ticker = get_ticker()
@@ -498,7 +498,7 @@ def get_user_selections():
 
 def get_ticker():
     """Get ticker symbol from user input."""
-    return typer.prompt("", default="SPY")
+    return typer.prompt("", default="BTC/USDT")
 
 
 def get_analysis_date():

tradingagents/agents/utils/fundamental_data_tools.py

@@ -5,14 +5,14 @@ from tradingagents.dataflows.interface import route_to_vendor
 
 @tool
 def get_fundamentals(
-    ticker: Annotated[str, "ticker symbol"],
+    ticker: Annotated[str, "ticker symbol"], # e.g., 'BTC/USDT'
     curr_date: Annotated[str, "current date you are trading at, yyyy-mm-dd"],
 ) -> str:
     """
     Retrieve comprehensive fundamental data for a given ticker symbol.
     Uses the configured fundamental_data vendor.
     Args:
-        ticker (str): Ticker symbol of the company
+        ticker (str): Ticker symbol of the cryptocurrency
         curr_date (str): Current date you are trading at, yyyy-mm-dd
     Returns:
         str: A formatted report containing comprehensive fundamental data
@@ -98,4 +98,4 @@ def get_market_cap() -> str:
     Returns:
         str: A formatted string containing market capitalization percentages
     """
-    return route_to_vendor("get_market_cap")
+    return route_to_vendor("get_market_cap")

tradingagents/dataflows/binance.py

@@ -28,16 +28,16 @@ def get_market_data(symbol: str, start_date: str, end_date: str):
         CSV formatted string with OHLCV data
     """
     # remove / from symbol for binance format
-    symbol = symbol.replace("/", "")
+    formatted_symbol = symbol.replace("/", "")
 
     # Convert dates to epoch time (milliseconds)
     start_epoch = int(datetime.strptime(start_date, "%Y-%m-%d").timestamp() * 1000)
     end_epoch = int(datetime.strptime(end_date, "%Y-%m-%d").timestamp() * 1000)
     
-    print(f"DEBUG: Fetching data for {symbol} from {start_date} to {end_date}")
+    print(f"DEBUG: Fetching data for {formatted_symbol} from {start_date} to {end_date}")
     try:
         response = client.rest_api.klines(
-            symbol=symbol,
+            symbol=formatted_symbol,
             start_time=start_epoch,
             end_time=end_epoch,
             interval="1d",

tradingagents/dataflows/taapi.py

@@ -149,7 +149,10 @@ def get_crypto_stats_indicators(
     Returns:
         str: A formatted report containing all requested technical indicators for the specified ticker symbol.
     """
-    
+    # validate symbol it must in format BASE/QUOTE
+    if "/" not in symbol:
+        return f"Error: Symbol '{symbol}' is not in the correct format. Please use 'BASE/QUOTE' format, e.g., 'BTC/USDT'."
+
     # Supported indicators mapping
     supported_indicators = {
         "sma": "Simple Moving Average",

tradingagents/default_config.py

@@ -24,7 +24,7 @@ DEFAULT_CONFIG = {
         "core_stock_apis": "yfinance",       # Options: yfinance, alpha_vantage, local
         "technical_indicators": "taapi",     # Options: taapi
         "fundamental_data": "alpha_vantage", # Options: openai, alpha_vantage, local
-        "news_data": "alpha_vantage",        # Options: openai, alpha_vantage, google, local
+        "news_data": "telegram",        # Options: openai, alpha_vantage, google, local
     },
     # Tool-level configuration (takes precedence over category-level)
     "tool_vendors": {

tradingagents/graph/trading_graph.py

@@ -37,7 +37,8 @@ from tradingagents.agents.utils.agent_utils import (
     get_news,
     get_insider_sentiment,
     get_insider_transactions,
-    get_global_news
+    get_global_news,
+    get_fear_and_greed
 )
 
 from .conditional_logic import ConditionalLogic
@@ -142,6 +143,7 @@ class TradingAgentsGraph:
                 [
                     # News tools for social media analysis
                     get_news,
+                    get_fear_and_greed,
                 ]
             ),
             "news": ToolNode(