Create index.py

index.py

@@ -0,0 +1,61 @@
+import io
+import requests
+import pandas as pd
+import yfinance as yf
+from datetime import datetime, timedelta
+
+from common import html_card, wrap_html
+from ta_indi_pat import talib_df
+
+
+def nifty50_daily(max_rows=200):
+    """
+    Fetch NIFTY 50 (^NSEI) 1-year OHLCV data from Yahoo Finance,
+    add TA-Lib indicators + candlestick patterns,
+    return HTML table inside a scrollable container.
+    """
+
+    try:
+        # ----------------------------------
+        # Fetch NIFTY 50 data
+        # ----------------------------------
+        df = yf.download("^NSEI", period="1y", interval="1d").round(2)
+
+        if df.empty:
+            return html_card("Error", "No data found for NIFTY 50 (^NSEI).")
+
+        # Standardize column names
+        df.columns = ["Close", "High", "Low", "Open", "Volume"]
+        df.reset_index(inplace=True)  # make Date a column
+
+        # Limit display rows
+        df_display = df.head(max_rows)
+
+        # ----------------------------------
+        # Generate TA-Lib indicators
+        # ----------------------------------
+        combined_df = talib_df(df_display)
+
+        # ----------------------------------
+        # Convert to HTML
+        # ----------------------------------
+        table_html = combined_df.to_html(
+            classes="table table-striped table-bordered",
+            index=False
+        )
+
+        scrollable_html = f"""
+        <div style="overflow-x:auto; overflow-y:auto; max-height:650px; border:1px solid #ccc; padding:8px;">
+            {table_html}
+        </div>
+        """
+
+        content = f"""
+        <h2>NIFTY 50 (^NSEI) — Daily (OHLCV + Indicators + Patterns)</h2>
+        {html_card("Technical Analysis Table", scrollable_html)}
+        """
+
+        return wrap_html(content, title="NIFTY 50 Daily Data")
+
+    except Exception as e:
+        return html_card("Error", str(e))