feat: add analysis-only crypto asset mode

cli/main.py

@@ -505,6 +505,10 @@ def get_user_selections():
         )
     )
     selected_ticker = get_ticker()
+    asset_type = detect_asset_type(selected_ticker)
+    console.print(
+        f"[green]Detected asset type:[/green] {asset_type.value}"
+    )
 
     # Step 2: Analysis date
     default_date = datetime.datetime.now().strftime("%Y-%m-%d")
@@ -523,7 +527,7 @@ def get_user_selections():
             "Step 3: Analysts Team", "Select your LLM analyst agents for the analysis"
         )
     )
-    selected_analysts = select_analysts()
+    selected_analysts = select_analysts(asset_type)
     console.print(
         f"[green]Selected analysts:[/green] {', '.join(analyst.value for analyst in selected_analysts)}"
     )
@@ -577,6 +581,7 @@ def get_user_selections():
 
     return {
         "ticker": selected_ticker,
+        "asset_type": asset_type.value,
         "analysis_date": analysis_date,
         "analysts": selected_analysts,
         "research_depth": selected_research_depth,
@@ -989,6 +994,7 @@ def run_analysis():
 
         # Add initial messages
         message_buffer.add_message("System", f"Selected ticker: {selections['ticker']}")
+        message_buffer.add_message("System", f"Detected asset type: {selections['asset_type']}")
         message_buffer.add_message(
             "System", f"Analysis date: {selections['analysis_date']}"
         )
@@ -1011,7 +1017,9 @@ def run_analysis():
 
         # Initialize state and get graph args with callbacks
         init_agent_state = graph.propagator.create_initial_state(
-            selections["ticker"], selections["analysis_date"]
+            selections["ticker"],
+            selections["analysis_date"],
+            asset_type=selections["asset_type"],
         )
         # Pass callbacks to graph config for tool execution tracking
         # (LLM tracking is handled separately via LLM constructor)

cli/models.py

@@ -8,3 +8,8 @@ class AnalystType(str, Enum):
     SOCIAL = "social"
     NEWS = "news"
     FUNDAMENTALS = "fundamentals"
+
+
+class AssetType(str, Enum):
+    STOCK = "stock"
+    CRYPTO = "crypto"

cli/utils.py

@@ -3,7 +3,7 @@ from typing import List, Optional, Tuple, Dict
 
 from rich.console import Console
 
-from cli.models import AnalystType
+from cli.models import AnalystType, AssetType
 
 console = Console()
 
@@ -14,6 +14,8 @@ ANALYST_ORDER = [
     ("Fundamentals Analyst", AnalystType.FUNDAMENTALS),
 ]
 
+CRYPTO_SUFFIXES = ("-USD", "-USDT", "-USDC", "-BTC", "-ETH")
+
 
 def get_ticker() -> str:
     """Prompt the user to enter a ticker symbol."""
@@ -35,6 +37,25 @@ def get_ticker() -> str:
     return ticker.strip().upper()
 
 
+def detect_asset_type(ticker: str) -> AssetType:
+    normalized_ticker = ticker.strip().upper()
+    if normalized_ticker.endswith(CRYPTO_SUFFIXES):
+        return AssetType.CRYPTO
+    return AssetType.STOCK
+
+
+def filter_analysts_for_asset_type(
+    analysts: List[AnalystType], asset_type: AssetType
+) -> List[AnalystType]:
+    if asset_type != AssetType.CRYPTO:
+        return analysts
+    return [
+        analyst
+        for analyst in analysts
+        if analyst != AnalystType.FUNDAMENTALS
+    ]
+
+
 def get_analysis_date() -> str:
     """Prompt the user to enter a date in YYYY-MM-DD format."""
     import re
@@ -68,12 +89,18 @@ def get_analysis_date() -> str:
     return date.strip()
 
 
-def select_analysts() -> List[AnalystType]:
+def select_analysts(asset_type: AssetType = AssetType.STOCK) -> List[AnalystType]:
     """Select analysts using an interactive checkbox."""
+    available_analysts = filter_analysts_for_asset_type(
+        [value for _, value in ANALYST_ORDER],
+        asset_type,
+    )
     choices = questionary.checkbox(
         "Select Your [Analysts Team]:",
         choices=[
-            questionary.Choice(display, value=value) for display, value in ANALYST_ORDER
+            questionary.Choice(display, value=value)
+            for display, value in ANALYST_ORDER
+            if value in available_analysts
         ],
         instruction="\n- Press Space to select/unselect analysts\n- Press 'a' to select/unselect all\n- Press Enter when done",
         validate=lambda x: len(x) > 0 or "You must select at least one analyst.",