diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index 28d51e4..8e37284 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -28,10 +28,10 @@ jobs:
     - name: Setup Chrome
       uses: browser-actions/setup-chrome@v1.7.2
       with:
-        chrome-version: stable
-    - name: Set chrome in path
+        chrome-version: 126
+    - name: Set Chrome in path
       run: | 
-        echo "/opt/hostedtoolcache/chromium/stable/x64" >> $GITHUB_PATH
+        echo "/opt/hostedtoolcache/setup-chrome/chromium/stable/x64" >> $GITHUB_PATH
     - name: Set up Python ${{ matrix.python-version }}
       uses: actions/setup-python@v3
       with:
diff --git a/examples/get_sp500.multithread.py b/examples/get_sp500.mp.py
similarity index 65%
rename from examples/get_sp500.multithread.py
rename to examples/get_sp500.mp.py
index ac1950b..12f9284 100755
--- a/examples/get_sp500.multithread.py
+++ b/examples/get_sp500.mp.py
@@ -3,19 +3,21 @@
 import msfinance as msf
 from concurrent.futures import ProcessPoolExecutor, as_completed
 from sqlalchemy import create_engine
-from sqlalchemy.orm import sessionmaker
+from sqlalchemy.orm import sessionmaker, scoped_session
 import math
+import logging
 
 proxy = 'socks5://127.0.0.1:1088'
 
-# Create a shared SQLAlchemy engine and session factory
-engine = create_engine('sqlite:///sp500.db3', pool_size=5, max_overflow=10)
-SessionFactory = sessionmaker(bind=engine)
+# Create an engine
+engine = create_engine('sqlite:///sp500.mt.db3', pool_size=5, max_overflow=10)
 
+# Create a session factory
+InitialSessionFactory = sessionmaker(bind=engine)
 # Fetch tickers outside the process pool
 initial_stock = msf.Stock(
     debug=False, 
-    session_factory=SessionFactory,
+    session_factory=InitialSessionFactory,
     proxy=proxy,
 )
 
@@ -26,14 +28,21 @@
 tickers_list['xnys'] = initial_stock.get_xnys_tickers()
 tickers_list['xase'] = initial_stock.get_xase_tickers()
 
-def process_tickers(tickers, proxy, session_factory):
-    # Create a single Stock instance for each process
+# Configure logging
+logging.basicConfig(level=logging.INFO, format='%(processName)s - %(levelname)s - %(message)s')
+
+def process_tickers(tickers, proxy):
+
+    SessionFactory = sessionmaker(bind=engine)
+    # Create a Stock instance using the session
     stock = msf.Stock(
         debug=True, 
-        session_factory=session_factory,
+        session_factory=SessionFactory,
         proxy=proxy,
     )
 
+    logging.info(f"Processing tickers: {tickers}")
+    
     results = []
     for ticker in tickers:
         if ticker in tickers_list['xnas']:
@@ -50,16 +59,22 @@ def process_tickers(tickers, proxy, session_factory):
             continue
 
         results.append((f"Ticker: {ticker}", valuations, financials))
-    
+
     return results
+# End of process_tickers
+
+def initializer():
+    """ensure the parent proc's database connections are not touched
+    in the new connection pool"""
+    engine.dispose(close=False)
 
 # Use ProcessPoolExecutor to process tickers in parallel
-max_workers = 3  # Adjust max_workers as needed
+max_workers = 4  # Adjust max_workers as needed
 chunk_size = math.ceil(len(sp500_tickers) / max_workers)
 ticker_chunks = [sp500_tickers[i:i + chunk_size] for i in range(0, len(sp500_tickers), chunk_size)]
 
-with ProcessPoolExecutor(max_workers=max_workers) as executor:
-    futures = {executor.submit(process_tickers, chunk, proxy, SessionFactory): chunk for chunk in ticker_chunks}
+with ProcessPoolExecutor(max_workers=max_workers, initializer=initializer) as executor:
+    futures = {executor.submit(process_tickers, chunk, proxy): chunk for chunk in ticker_chunks}
     for future in as_completed(futures):
         results = future.result()
         for ticker_info, valuations, financials in results: