diff --git a/HedgeAnalyzer.py b/HedgeAnalyzer.py
index 86e4f6a..b7b729e 100755
--- a/HedgeAnalyzer.py
+++ b/HedgeAnalyzer.py
@@ -6,6 +6,7 @@ from email.mime.text import MIMEText
 from email.mime.multipart import MIMEMultipart
 from dotenv import load_dotenv
 import os
+import uuid
 
 # Load environment variables
 load_dotenv()
@@ -27,20 +28,32 @@ query_api = QueryApi(api_key=SEC_API_KEY)
 # Point72 CIK
 CIK = '0001603466'
 
-# Query for latest two 13F-HR filings
+# Query for latest 13F-HR filings
 query = {
     "query": f'cik:{CIK} formType:"13F-HR"',
     "sort": [{"filedAt": {"order": "desc"}}],
-    "size": 2
+    "size": 10  # Fetch more to ensure we get distinct periods
 }
 response = query_api.get_filings(query)
 filings = response.get('filings', [])
 
-if len(filings) < 2:
-    raise Exception(f"Not enough filings found for comparison: {len(filings)} found")
+# Filter unique periodOfReport and select the two most recent
+filings = sorted(filings, key=lambda x: x['periodOfReport'], reverse=True)
+unique_filings = []
+seen_periods = set()
+for filing in filings:
+    period = filing['periodOfReport']
+    if period not in seen_periods:
+        unique_filings.append(filing)
+        seen_periods.add(period)
+    if len(unique_filings) == 2:
+        break
 
-latest = filings[0]
-prev = filings[1]
+if len(unique_filings) < 2:
+    raise Exception(f"Not enough unique filings found: {len(unique_filings)} found")
+
+latest = unique_filings[0]
+prev = unique_filings[1]
 
 # Fetch holdings
 latest_holdings = latest.get('holdings', [])
@@ -69,6 +82,10 @@ for col in required_cols:
     if col not in latest_df.columns or col not in prev_df.columns:
         raise KeyError(f"Column {col} missing in holdings data")
 
+# Format value with commas and dollar sign
+latest_df['value_formatted'] = latest_df['value'].apply(lambda x: f"${x:,.0f}")
+prev_df['value_formatted'] = prev_df['value'].apply(lambda x: f"${x:,.0f}")
+
 # Set index for comparison
 key_col = 'cusip'
 latest_df = latest_df.set_index(key_col)
@@ -83,28 +100,53 @@ removals = prev_df[~prev_df.index.isin(latest_df.index)]
 # Changes >10%
 both = latest_df.index.intersection(prev_df.index)
 changes = latest_df.loc[both].join(prev_df.loc[both], lsuffix='_new', rsuffix='_old')
-
-# Ensure share columns are numeric
 changes['shrsOrPrnAmt_new'] = pd.to_numeric(changes['shrsOrPrnAmt_new'], errors='coerce')
 changes['shrsOrPrnAmt_old'] = pd.to_numeric(changes['shrsOrPrnAmt_old'], errors='coerce')
-
-# Calculate share change
 changes['share_change'] = changes['shrsOrPrnAmt_new'] - changes['shrsOrPrnAmt_old']
-changes = changes[changes['share_change'].notna()]  # Remove rows with NaN changes
+changes = changes[changes['share_change'].notna()]
 changes = changes[abs(changes['share_change']) / changes['shrsOrPrnAmt_old'].replace(0, 1) > 0.1]
+changes['share_change'] = changes['share_change'].apply(lambda x: f"{x:,.0f}")
 
-# Summary
+# HTML table styling
+html_style = """
+<style>
+    table {
+        border-collapse: collapse;
+        width: 100%;
+        font-family: Arial, sans-serif;
+    }
+    th, td {
+        border: 1px solid #ddd;
+        padding: 8px;
+        text-align: left;
+    }
+    th {
+        background-color: #f2f2f2;
+        font-weight: bold;
+    }
+    tr:nth-child(even) {background-color: #f9f9f9;}
+    tr:hover {background-color: #f5f5f5;}
+</style>
+"""
+
+# Convert DataFrames to HTML tables
+def df_to_html(df, columns, title):
+    if df.empty:
+        return f"<h3>{title} (0)</h3><p>None</p>"
+    df_subset = df[columns].reset_index(drop=True)
+    return f"<h3>{title} ({len(df)})</h3>{df_subset.to_html(index=False, border=0, classes='table')}"
+
+# Summary as HTML
 summary = f"""
-Point72 13F Changes {prev['periodOfReport']} to {latest['periodOfReport']}
-
-Additions ({len(additions)}):
-{additions[['nameOfIssuer', 'shrsOrPrnAmt', 'value']].to_string() if not additions.empty else 'None'}
-
-Removals ({len(removals)}):
-{removals[['nameOfIssuer', 'shrsOrPrnAmt', 'value']].to_string() if not removals.empty else 'None'}
-
-Changes ({len(changes)}):
-{changes[['nameOfIssuer_new', 'share_change']].to_string() if not changes.empty else 'None'}
+<html>
+<head>{html_style}</head>
+<body>
+<h2>Point72 13F Changes {prev['periodOfReport']} to {latest['periodOfReport']}</h2>
+{df_to_html(additions, ['nameOfIssuer', 'shrsOrPrnAmt', 'value_formatted'], 'Additions')}
+{df_to_html(removals, ['nameOfIssuer', 'shrsOrPrnAmt', 'value_formatted'], 'Removals')}
+{df_to_html(changes, ['nameOfIssuer_new', 'share_change'], 'Changes')}
+</body>
+</html>
 """
 
 # Email
@@ -112,7 +154,7 @@ msg = MIMEMultipart()
 msg['From'] = EMAIL_SENDER
 msg['To'] = EMAIL_RECIPIENT
 msg['Subject'] = f'Point72 13F Update {latest["periodOfReport"]}'
-msg.attach(MIMEText(summary, 'plain'))
+msg.attach(MIMEText(summary, 'html'))
 
 server = SMTP(SMTP_SERVER, SMTP_PORT)
 server.starttls()