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# config.py
import os
from dotenv import load_dotenv
load_dotenv()
# API Keys
SWARMS_API_KEY = os.getenv("SWARMS_API_KEY")
FRED_API_KEY = os.getenv("FRED_API_KEY")
# API URLs
SWARMS_BASE_URL = "https://api.swarms.world"
FRED_BASE_URL = "https://api.stlouisfed.org/fred/series/observations"
# Default Values
DEFAULT_REPO_RATE = 6.5
DEFAULT_INFLATION_RATE = 5.7
# Nifty 50 Companies (could be moved to a separate file if too large)
NIFTY50_COMPANIES = {
'ADANIENT.NS': 'Adani Enterprises', 'ADANIPORTS.NS': 'Adani Ports',
'APOLLOHOSP.NS': 'Apollo Hospitals', 'ASIANPAINT.NS': 'Asian Paints',
'AXISBANK.NS': 'Axis Bank', 'BAJAJ-AUTO.NS': 'Bajaj Auto',
'BAJFINANCE.NS': 'Bajaj Finance', 'BAJAJFINSV.NS': 'Bajaj Finserv',
'BEL.NS': 'Bharat Electronics', 'BHARTIARTL.NS': 'Bharti Airtel',
'CIPLA.NS': 'Cipla', 'COALINDIA.NS': 'Coal India', 'DRREDDY.NS': 'Dr Reddy Labs',
'EICHERMOT.NS': 'Eicher Motors', 'GRASIM.NS': 'Grasim Industries',
'HCLTECH.NS': 'HCL Technologies', 'HDFCBANK.NS': 'HDFC Bank',
'HDFCLIFE.NS': 'HDFC Life', 'HEROMOTOCO.NS': 'Hero MotoCorp',
'HINDALCO.NS': 'Hindalco', 'HINDUNILVR.NS': 'Hindustan Unilever',
'ICICIBANK.NS': 'ICICI Bank', 'INDUSINDBK.NS': 'IndusInd Bank',
'INFY.NS': 'Infosys', 'ITC.NS': 'ITC', 'JIOFIN.NS': 'Jio Financial',
'JSWSTEEL.NS': 'JSW Steel', 'KOTAKBANK.NS': 'Kotak Mahindra Bank',
'LT.NS': 'Larsen & Toubro', 'M&M.NS': 'Mahindra & Mahindra',
'MARUTI.NS': 'Maruti Suzuki', 'NESTLEIND.NS': 'Nestle India',
'NTPC.NS': 'NTPC', 'ONGC.NS': 'ONGC', 'POWERGRID.NS': 'Power Grid Corp',
'RELIANCE.NS': 'Reliance Industries', 'SBILIFE.NS': 'SBI Life',
'SHRIRAMFIN.NS': 'Shriram Finance', 'SBIN.NS': 'State Bank of India',
'SUNPHARMA.NS': 'Sun Pharma', 'TATACONSUM.NS': 'Tata Consumer',
'TCS.NS': 'Tata Consultancy Services', 'TATAMOTORS.NS': 'Tata Motors',
'TATASTEEL.NS': 'Tata Steel', 'TECHM.NS': 'Tech Mahindra',
'TITAN.NS': 'Titan Company', 'TRENT.NS': 'Trent',
'ULTRACEMCO.NS': 'UltraTech Cement', 'WIPRO.NS': 'Wipro',
# Newly added stocks
'ADANIGREEN.NS': 'Adani Green Energy',
'AMBUJACEM.NS': 'Ambuja Cements',
'AUBANK.NS': 'AU Small Finance Bank',
'BANKINDIA.NS': 'Bank of India',
'BSE.NS': 'Bombay Stock Exchange',
'CENTRALBK.NS': 'Central Bank of India',
'DMART.NS': 'Avenue Supermarts (DMart)',
'FEDERALBNK.NS': 'Federal Bank',
'HINDPETRO.NS': 'Hindustan Petroleum',
'INDIGO.NS': 'InterGlobe Aviation (IndiGo)',
'IOC.NS': 'Indian Oil Corporation',
'IRCTC.NS': 'Indian Railway Catering and Tourism Corporation',
'LALPATHLAB.NS': 'Lal PathLabs',
'MAXFINA.NS': 'Max Financial Services',
'NAUKRI.NS': 'Info Edge (Naukri.com)',
'NMDC.NS': 'NMDC',
'PETRONET.NS': 'Petronet LNG',
'PIIND.NS': 'PI Industries',
'PVRINOX.NS': 'PVR INOX',
'SAIL.NS': 'Steel Authority of India Limited (SAIL)',
'SIEMENS.NS': 'Siemens',
'SYNGENE.NS': 'Syngene International',
'UPL.NS': 'UPL Limited',
'VEDANTA.NS': 'Vedanta',
'ETERNAL.NS': 'Zomato'
}
# Sector ETFs
SECTOR_ETFS = {
'BANKBEES.NS': 'Banking',
'ITBEES.NS': 'IT',
'PHARMABEES.NS': 'Pharma',
'AUTOBEES.NS': 'Auto',
'NIFTYBEES.NS': 'Metal' # Note: This is Nifty 50 ETF, not Metal. You might want a proper Metal ETF.
}
# Market Indices
MARKET_INDICES = {
'^NSEI': 'Nifty 50',
'^BSESN': 'BSE Sensex',
'NIFTY_MIDCAP_100.NS': 'Nifty Midcap 100'
}
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