diff --git a/crypto/brian/index-deep-new.py b/crypto/brian/index-deep-new.py
index 2d18ffd..cf23b20 100644
--- a/crypto/brian/index-deep-new.py
+++ b/crypto/brian/index-deep-new.py
@@ -22,6 +22,18 @@ import matplotlib.dates as mdates
 from dotenv import load_dotenv
 load_dotenv()
 
+# --- Helper Function for Timestamp Conversion ---
+def convert_timestamp(ts):
+    """
+    Safely converts a timestamp to a datetime object.
+    If the timestamp is abnormally high (i.e. in milliseconds), 
+    it is divided by 1000.
+    """
+    ts = float(ts)
+    if ts > 1e10:  # Likely in milliseconds
+        ts = ts / 1000.0
+    return datetime.fromtimestamp(ts)
+
 # --- Directories ---
 LAST_DIR = os.path.join("models", "last")
 BEST_DIR = os.path.join("models", "best")
@@ -219,11 +231,10 @@ def load_best_checkpoint(model, best_dir=BEST_DIR):
         old_embed = old_state["timeframe_embed.weight"]
         new_embed = new_state["timeframe_embed.weight"]
         if old_embed.shape[0] < new_embed.shape[0]:
-            # Copy the available rows and keep the remaining as initialized.
             new_embed[:old_embed.shape[0]] = old_embed
             old_state["timeframe_embed.weight"] = new_embed
 
-    # For channel_branches, if there are missing keys, load_state_dict with strict=False.
+    # For channel_branches, missing keys are handled by strict=False.
     model.load_state_dict(old_state, strict=False)
     return checkpoint
 
@@ -232,7 +243,7 @@ def update_live_html(candles, trade_history, epoch):
     """
     Generate a chart image that uses actual timestamps on the x-axis
     and shows a cumulative epoch PnL. The chart (with buy/sell markers and dotted lines)
-    is embedded in an HTML page that auto-refreshes every 10 seconds.
+    is embedded in an HTML page that auto-refreshes every 1 seconds.
     """
     from io import BytesIO
     import base64
@@ -252,7 +263,7 @@ 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 {{
@@ -291,15 +302,15 @@ def update_live_chart(ax, candles, trade_history):
     Mark BUY (green) and SELL (red) actions, and draw dotted lines between entry and exit.
     """
     ax.clear()
-    # Convert timestamps to datetime objects.
-    times = [datetime.fromtimestamp(candle["timestamp"]) for candle in candles]
+    # Use the helper to convert timestamps safely.
+    times = [convert_timestamp(candle["timestamp"]) for candle in candles]
     close_prices = [candle["close"] for candle in candles]
     ax.plot(times, close_prices, label="Close Price", color="black", linewidth=1)
     # Format x-axis date labels.
     ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
     for trade in trade_history:
-        entry_time = datetime.fromtimestamp(candles[trade["entry_index"]]["timestamp"])
-        exit_time = datetime.fromtimestamp(candles[trade["exit_index"]]["timestamp"])
+        entry_time = convert_timestamp(candles[trade["entry_index"]]["timestamp"])
+        exit_time = convert_timestamp(candles[trade["exit_index"]]["timestamp"])
         in_price = trade["entry_price"]
         out_price = trade["exit_price"]
         ax.plot(entry_time, in_price, marker="^", color="green", markersize=10, label="BUY")
@@ -518,7 +529,6 @@ async def main():
                 except Exception as e:
                     print("Failed to load optimizer state due to:", e)
                     print("Deleting all checkpoints and starting fresh.")
-                    # Delete checkpoint files.
                     for chk_dir in [LAST_DIR, BEST_DIR]:
                         for f in os.listdir(chk_dir):
                             os.remove(os.path.join(chk_dir, f))
