Stock Market Data Fetcher
This utility fetches stock market data using the yfinance library, which offers a reliable way to download historical market data from Yahoo Finance. It can retrieve current prices, historical data for analysis, and company information.
Modules Used:
yfinance: To fetch financial data from Yahoo Finance.- pandas: To handle and display the data in a tabular format.
- argparse: To handle command-line arguments.
Installation
pip install yfinance pandasThe Code
Save this as stock_fetcher.py.
import yfinance as yf
import argparse
import sys
def get_stock_data(ticker_symbol, period="1mo", info=False):
print(f"Fetching data for: {ticker_symbol.upper()}...")
try:
# Create Ticker object
ticker = yf.Ticker(ticker_symbol)
# 1. Get Basic Info
if info:
print("\n--- Company Info ---")
# info is a dictionary with many keys
i = ticker.info
print(f"Name: {i.get('longName', 'N/A')}")
print(f"Sector: {i.get('sector', 'N/A')}")
print(f"Current Price: {i.get('currentPrice', 'N/A')}")
print(f"Market Cap: {i.get('marketCap', 'N/A')}")
print(f"Summary: {i.get('longBusinessSummary', 'N/A')[:200]}...")
# 2. Get Historical Data
# valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max
history = ticker.history(period=period)
if history.empty:
print("No historical data found.")
return
print(f"\n--- Historical Data ({period}) ---")
# Reset index to make Date a column for printing
print(history<a href='/%27Open%27%2C%20%27High%27%2C%20%27Low%27%2C%20%27Close%27%2C%20%27Volume%27'>'Open', 'High', 'Low', 'Close', 'Volume'</a>.tail())
# Optional: Save to CSV
# history.to_csv(f"{ticker_symbol}_{period}.csv")
# print(f"\nSaved to {ticker_symbol}_{period}.csv")
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Stock Market Data Fetcher")
parser.add_argument("ticker", help="Stock Ticker Symbol (e.g., AAPL, MSFT)")
parser.add_argument("-p", "--period", default="1mo",
choices=['1d','5d','1mo','3mo','6mo','1y','2y','5y','10y','ytd','max'],
help="Data period to download (default: 1mo)")
parser.add_argument("--info", action="store_true", help="Show company information")
args = parser.parse_args()
get_stock_data(args.ticker, args.period, args.info)Usage
# Get last month of data for Apple
python stock_fetcher.py AAPL
# Get company info and 1 year of history for Microsoft
python stock_fetcher.py MSFT --period 1y --info