feat: Add SunnyBand scanner and multi-system menu to main.py

src/main.py

@@ -2,25 +2,43 @@ import datetime
 from screener.data_fetcher import validate_date_range, fetch_financial_data, get_stocks_in_time_range
 from screener.c_canslim import check_quarterly_earnings, check_return_on_equity, check_sales_growth
 from screener.a_canslim import check_annual_eps_growth
-from screener.l_canslim import check_industry_leadership  # ✅ NEW: Import L Score function
+from screener.l_canslim import check_industry_leadership
-from screener.i_canslim import check_institutional_sponsorship  # ✅ NEW: Import I Score function
+from screener.i_canslim import check_institutional_sponsorship
 from screener.csv_appender import append_scores_to_csv
-from screener.screeners import SCREENERS  # Import categories
+from screener.screeners import SCREENERS
-from screener.user_input import get_user_screener_selection  # Import function
+from screener.user_input import get_user_screener_selection
+
+def get_float_input(prompt: str) -> float:
+    while True:
+        try:
+            return float(input(prompt))
+        except ValueError:
+            print("Please enter a valid number")
+
+def get_scanner_parameters():
+    """Get user input for scanner parameters"""
+    min_price = get_float_input("Enter minimum stock price ($): ")
+    max_price = get_float_input("Enter maximum stock price ($): ")
+    min_volume = int(input("Enter minimum volume: "))
+    return min_price, max_price, min_volume
 
 def main():
+    print("\nStock Analysis System")
+    print("1. Run CANSLIM Screener")
+    print("2. Run SunnyBand Scanner")
+    print("3. Launch Trading System")
+    print("4. Exit")
+    
+    choice = input("\nSelect an option (1-4): ")
+    
+    if choice == "1":
         # 1️⃣ Ask user for start and end date
         user_start_date = input("Enter start date (YYYY-MM-DD): ")
         user_end_date = input("Enter end date (YYYY-MM-DD): ")
     
         # 2️⃣ Validate and adjust date range if needed
         start_date, end_date = validate_date_range(user_start_date, user_end_date, required_quarters=4)
-
-    # 3️⃣ Get selected screeners & customization preferences
         selected_screeners = get_user_screener_selection()
-    print(f"\n✅ Selected Screeners: {selected_screeners}\n")  # ✅ DEBUG LOG
-
-    # 4️⃣ Get all stock symbols dynamically
         symbol_list = get_stocks_in_time_range(start_date, end_date)
         
         if not symbol_list:
@@ -29,7 +47,6 @@ def main():
 
         print(f"Processing {len(symbol_list)} stocks within the given date range...\n")
 
-    # 5️⃣ Process each stock symbol
         for symbol in symbol_list:
             data = fetch_financial_data(symbol, start_date, end_date)
 
@@ -39,7 +56,6 @@ def main():
             else:
                 scores = {}
 
-            # 6️⃣ Compute scores dynamically based on user selection
                 for category, screeners in selected_screeners.items():
                     for screener, threshold in screeners.items():
                         if screener == "EPS_Score":
@@ -51,23 +67,34 @@ def main():
                         elif screener == "ROE_Score":
                             scores[screener] = check_return_on_equity(data.get("roe", []))
                         elif screener == "L_Score":
-                        scores[screener] = check_industry_leadership(symbol)  # ✅ NEW: Industry Leadership Calculation
+                            scores[screener] = check_industry_leadership(symbol)
-                        print(f"🟢 {symbol} - L_Score: {scores[screener]}")  # ✅ DEBUG LOG
+                            print(f"🟢 {symbol} - L_Score: {scores[screener]}")
                         elif screener == "I_Score":
-                        scores[screener] = check_institutional_sponsorship(symbol)  # ✅ NEW: Institutional Sponsorship Check
+                            scores[screener] = check_institutional_sponsorship(symbol)
-                        print(f"🏢 {symbol} - I_Score: {scores[screener]}")  # ✅ DEBUG LOG
+                            print(f"🏢 {symbol} - I_Score: {scores[screener]}")
                         
-                    # Apply user-defined threshold if applicable
                         if isinstance(threshold, (int, float)):
                             scores[screener] = scores[screener] >= threshold
 
-        # 7️⃣ Calculate Total Score
+            scores["Total_Score"] = sum(scores.values())
-        scores["Total_Score"] = sum(scores.values())  # ✅ NEW: Total Score Calculation
-
-        # 8️⃣ Append results to CSV
             append_scores_to_csv(symbol, scores)
 
         print("✅ Scores saved in data/metrics/stock_scores.csv\n")
 
+    elif choice == "2":
+        min_price, max_price, min_volume = get_scanner_parameters()
+        from screener.t_sunnyband import run_sunny_scanner
+        run_sunny_scanner(min_price, max_price, min_volume)
+        
+    elif choice == "3":
+        from trading.main import main as trading_main
+        trading_main()
+        
+    elif choice == "4":
+        print("Exiting...")
+        return
+    else:
+        print("Invalid choice. Please try again.")
+
 if __name__ == "__main__":
     main()