From 6ee4e3a34b501dbcaa98e9126bf7abce26341337 Mon Sep 17 00:00:00 2001
From: "Bobby Abellana (aider)" <bobby@abellana.work>
Date: Fri, 7 Feb 2025 08:58:56 -0800
Subject: [PATCH] chore: Remove SQL query print statements and add trading info
 prints

---
 src/screener/t_sunnyband.py | 11 ++---------
 1 file changed, 2 insertions(+), 9 deletions(-)

diff --git a/src/screener/t_sunnyband.py b/src/screener/t_sunnyband.py
index e6e678f..694c63f 100644
--- a/src/screener/t_sunnyband.py
+++ b/src/screener/t_sunnyband.py
@@ -85,9 +85,6 @@ def get_stock_data(ticker: str, start_date: datetime, end_date: datetime, interv
                 ORDER BY interval_start ASC
             """
         
-        print("\nExecuting Query:")
-        print(query)  # Debugging: Print the query to verify its correctness
-        
         result = client.query(query)
         if not result.result_rows:
             print(f"No data found for {ticker}")
@@ -223,10 +220,6 @@ def view_stock_details(ticker: str, interval: str, start_date: datetime, end_dat
                 ORDER BY interval_start ASC
             """
         
-        # Print the actual query being executed
-        print("\nExecuting Query:")
-        print(query)
-        
         # Execute query and get results
         result = client.query(query)
         
@@ -367,9 +360,9 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int, portf
                                 'r_r': position['risk_reward_ratio']
                             }
                             bullish_signals.append(signal_data)
+                            # Print potential entry, target, and potential P/L
                             print(f"\n🟢 {ticker} Entry: ${current_price:.2f} Target: ${target_price:.2f}")
-                            print(f"   Shares: {signal_data['shares']} | Risk: ${abs(signal_data['risk']):.2f} | "
-                                  f"Reward: ${signal_data['reward']:.2f} | R/R: {signal_data['r_r']:.2f}")
+                            print(f"   Potential Profit: ${signal_data['reward']:.2f} | Potential Loss: ${abs(signal_data['risk']):.2f}")
                 
                 elif results['bearish_signal'].iloc[-1]:
                     bearish_signals.append({