diff --git a/crypto/brian/index-deep-new.py b/crypto/brian/index-deep-new.py
index 7c04c5d..258cd83 100644
--- a/crypto/brian/index-deep-new.py
+++ b/crypto/brian/index-deep-new.py
@@ -365,7 +365,7 @@ def update_live_html(candles, trade_history, epoch):
     Generate an HTML page with a live chart.
     The chart displays price (line) and volume (bar chart on a secondary y-axis),
     and includes buy/sell markers with dotted lines connecting entries and exits.
-    The page auto-refreshes every 10 seconds.
+    The page auto-refreshes every 1 second.
     """
     from io import BytesIO
     import base64
@@ -383,7 +383,7 @@ def update_live_html(candles, trade_history, epoch):
 <html>
 <head>
   <meta charset="utf-8">
-  <meta http-equiv="refresh" content="10">
+  <meta http-equiv="refresh" content="1">
   <title>Live Trading Chart - Epoch {epoch}</title>
   <style>
     body {{
@@ -535,6 +535,7 @@ class BacktestEnvironment:
 # --- Enhanced Training Loop ---
 def train_on_historical_data(env, model, device, args, start_epoch, optimizer, scheduler):
     lambda_trade = args.lambda_trade
+    total_pnl = 0.0
     for epoch in range(start_epoch, args.epochs):
         env.reset()
         loss_accum = 0.0
@@ -563,10 +564,12 @@ def train_on_historical_data(env, model, device, args, start_epoch, optimizer, s
             loss_accum += loss.item()
         scheduler.step()
         epoch_loss = loss_accum / steps
-        print(f"Epoch {epoch+1} Loss: {epoch_loss:.4f}")
+        total_pnl += sum(trade["pnl"] for trade in env.trade_history)
+        print(f"Epoch {epoch+1} Loss: {epoch_loss:.4f} | Total PnL: {total_pnl:.2f}")
         save_checkpoint(model, optimizer, epoch, loss_accum)
         simulate_trades(model, env, device, args)
         update_live_html(env.candle_window, env.trade_history, epoch+1)
+        
 
 # --- Live Plotting (for Live Mode) ---
 def live_preview_loop(candles, env):
