simplifi 1.0.1

Class for Black-Scholes option pricing and Greeks calculation with real-time data integration.

Simplifi

A comprehensive Python library for financial analysis and stock market data visualization. This library combines data from multiple sources including Yahoo Finance and Finviz to provide a rich set of financial analysis tools.

Features

• Historical Data Analysis

  • Fetch and process 30-day historical data
  • Calculate average prices and logarithmic returns
  • Generate OHLC (Open-High-Low-Close) candlestick charts with volume

• Options Analysis

  • Black-Scholes option pricing model implementation
  • Options chain analysis

• Dividend Discount Model

  • Fetch stock valuation based on DDM calculations
  • Cost of Equity calculations
  • Risk-free rate analysis based on 10yr Treasury

Installation

pip install simplifi

Usage

Basic Usage

from simplifi import Simplifi

# Create an instance for a specific stock
stock = Simplifi('AAPL')

# Get historical data
historical_data_df = stock.get_historical_data()

# Get Black-Scholes option valuations
options_analysis_df = stock.blackscholes()

Advanced Features

OHLC Chart Generation

# Get historical data with OHLC chart
historical_data_df = stock.get_historical_data(make_ohlc=True)

Example OHLC chart output:

Dividend Discount Model Valuation

# Calculate stock valuation using DDM
ddm_valuation = stock.ddm_valuation()

Dependencies

• numpy
• pandas
• plotly
• yahooquery
• beautifulsoup4
• requests
• scipy

Data Sources

• Yahoo Finance (via yahooquery)

Notes

• Features require internet connection for real-time data
• OHLC charts include 50-day and 200-day moving averages
• Black-Scholes calculations use the current 10-year Treasury rate as the risk-free rate

License

See the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.