diff --git a/src/main.py b/src/main.py
index 078f6646..eabbe0ca 100644
--- a/src/main.py
+++ b/src/main.py
@@ -171,6 +171,28 @@ def create_workflow(selected_analysts=None):
     # Parse tickers from comma-separated string
     tickers = [ticker.strip() for ticker in args.tickers.split(",")]
 
+    # Validate tickers before proceeding
+    from tools.api import validate_tickers
+    is_valid, invalid_tickers = validate_tickers(tickers)
+    if not is_valid:
+        valid_tickers = [ticker for ticker in tickers if ticker not in invalid_tickers]
+        if not valid_tickers:
+            print(f"{Fore.RED}Error: All provided tickers are invalid: {', '.join(invalid_tickers)}{Style.RESET_ALL}")
+            sys.exit(1)
+        
+        print(f"{Fore.YELLOW}Warning: The following tickers are invalid: {', '.join(invalid_tickers)}{Style.RESET_ALL}")
+        proceed = questionary.confirm(
+            f"Do you want to proceed with only the valid tickers: {', '.join(valid_tickers)}?",
+            default=True
+        ).ask()
+        
+        if not proceed:
+            print("\nExiting...")
+            sys.exit(0)
+        
+        print(f"\nProceeding with tickers: {', '.join(valid_tickers)}\n")
+        tickers = valid_tickers
+
     # Select analysts
     selected_analysts = None
     choices = questionary.checkbox(
@@ -193,7 +215,7 @@ def create_workflow(selected_analysts=None):
         sys.exit(0)
     else:
         selected_analysts = choices
-        print(f"\nSelected analysts: {', '.join(Fore.GREEN + choice.title().replace('_', ' ') + Style.RESET_ALL for choice in choices)}\n")
+        print(f"\nSelected analysts: {', '.join(choice.title().replace('_', ' ') for choice in choices)}\n")
 
     # Select LLM model
     model_choice = questionary.select(
diff --git a/src/tools/api.py b/src/tools/api.py
index 2b2c9c01..9cdea719 100644
--- a/src/tools/api.py
+++ b/src/tools/api.py
@@ -280,3 +280,21 @@ def prices_to_df(prices: list[Price]) -> pd.DataFrame:
 def get_price_data(ticker: str, start_date: str, end_date: str) -> pd.DataFrame:
     prices = get_prices(ticker, start_date, end_date)
     return prices_to_df(prices)
+
+
+def validate_tickers(tickers: list[str]) -> tuple[bool, list[str]]:
+    """
+    Validate a list of tickers against the available tickers list.
+    Returns a tuple of (is_valid, invalid_tickers).
+    """
+    try:
+        response = requests.get("https://virattt.github.io/datasets/financials/available_tickers.json")
+        if response.status_code != 200:
+            raise Exception(f"Error fetching valid tickers: {response.status_code} - {response.text}")
+        
+        valid_tickers = {ticker["symbol"] for ticker in response.json()["tickers"]}
+        invalid_tickers = [ticker for ticker in tickers if ticker not in valid_tickers]
+        
+        return len(invalid_tickers) == 0, invalid_tickers
+    except Exception as e:
+        raise Exception(f"Error validating tickers: {str(e)}")