Tried the python code attached
one from AngelOne github
my own coding (not included)
I am unable to pull all the fields -
Angelone gives nothing
My code gives me ltp data but then blank in the remaining
Used quote, smartfeed instead of ltp data but just doesnt move. it logs in successfully
import os
import time
import sqlite3
import json
from datetime import datetime, timedelta
import pandas as pd
import pyotp
from dotenv import load_dotenv
from SmartApi import SmartConnect
# --------------------------
# Load environment variables
# --------------------------
load_dotenv()
API_KEY = os.getenv("API_KEY")
CLIENT_ID = os.getenv("CLIENT_ID")
PASSWORD = os.getenv("PASSWORD")
TOTP_SECRET = os.getenv("TOTP_SECRET")
# --------------------------
# Initialize SmartAPI
# --------------------------
smartapi = SmartConnect(api_key=API_KEY)
# --------------------------
# Session handling
# --------------------------
def get_session():
"""Reuse session token if valid, else generate a new one."""
if os.path.exists("session.json"):
with open("session.json", "r") as f:
data = json.load(f)
expiry = datetime.fromtimestamp(data.get("expiry", 0))
if expiry > datetime.now():
smartapi.setAccessToken(data["jwtToken"])
print("✅ Using existing session token.")
return data
# Generate new session
print("🔑 Generating new session...")
totp = pyotp.TOTP(TOTP_SECRET).now()
session = smartapi.generateSession(CLIENT_ID, PASSWORD, totp)
token_data = {
"jwtToken": session["data"]["jwtToken"],
"refreshToken": session["data"]["refreshToken"],
"expiry": (datetime.now() + timedelta(hours=23)).timestamp()
}
with open("session.json", "w") as f:
json.dump(token_data, f)
smartapi.setAccessToken(token_data["jwtToken"])
print("✅ New session saved.")
return token_data
# --------------------------
# Database setup
# --------------------------
DB_PATH = "stocks.db"
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
# --------------------------
# Load symbols to fetch
# --------------------------
query = """
SELECT DISTINCT symbol, token, exch_seg
FROM equity_master
WHERE exch_seg='NSE' AND token IS NOT NULL
LIMIT 50
"""
symbols_df = pd.read_sql(query, conn)
print(f"📊 Loaded {len(symbols_df)} symbols from equity_master")
# --------------------------
# Fetch session
# --------------------------
tokens = get_session()
# --------------------------
# Fetch market data
# --------------------------
updated = []
for _, row in symbols_df.iterrows():
try:
symbol = row["symbol"]
token = str(row["token"])
exchange = row["exch_seg"]
# LTP / full quote
data = smartapi.ltpData(exchange, symbol, token)
quote = data.get("data", {})
updated.append((
symbol,
exchange,
token,
quote.get("ltp"),
quote.get("open"),
quote.get("high"),
quote.get("low"),
quote.get("close"),
quote.get("lastTradeQty"),
quote.get("exchFeedTime"),
quote.get("exchTradeTime"),
quote.get("netChange"),
quote.get("percentChange"),
quote.get("avgPrice"),
quote.get("tradeVolume"),
quote.get("opnInterest"),
quote.get("lowerCircuit"),
quote.get("upperCircuit"),
quote.get("totBuyQuan"),
quote.get("totSellQuan"),
quote.get("weekLow52"),
quote.get("weekHigh52"),
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
))
time.sleep(0.2)
except Exception as e:
print(f"⚠️ {symbol} ({token}): {e}")
# --------------------------
# Insert / update DB
# --------------------------
cursor.executemany("""
INSERT INTO market_live (
symbol, exchange, symbolToken, ltp, open, high, low, close,
lastTradeQty, exchFeedTime, exchTradeTime, netChange, percentChange,
avgPrice, tradeVolume, opnInterest, lowerCircuit, upperCircuit,
totBuyQuan, totSellQuan, weekLow52, weekHigh52, updated_at
)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(symbol) DO UPDATE SET
ltp=excluded.ltp,
open=excluded.open,
high=excluded.high,
low=excluded.low,
close=excluded.close,
lastTradeQty=excluded.lastTradeQty,
exchFeedTime=excluded.exchFeedTime,
exchTradeTime=excluded.exchTradeTime,
netChange=excluded.netChange,
percentChange=excluded.percentChange,
avgPrice=excluded.avgPrice,
tradeVolume=excluded.tradeVolume,
opnInterest=excluded.opnInterest,
lowerCircuit=excluded.lowerCircuit,
upperCircuit=excluded.upperCircuit,
totBuyQuan=excluded.totBuyQuan,
totSellQuan=excluded.totSellQuan,
weekLow52=excluded.weekLow52,
weekHigh52=excluded.weekHigh52,
updated_at=excluded.updated_at
""", updated)
conn.commit()
print(f"✅ Market data updated in 'market_live' ({len(updated)} records)")
# --------------------------
# Export to Excel
# --------------------------
df = pd.read_sql("SELECT * FROM market_live", conn)
df.to_excel("market_live.xlsx", index=False)
print("📊 Exported to market_live.xlsx")
conn.close()