FinanceToolkit v1.7.4

[JerBouma]

This release features the Black Scholes Model, Present Value of Growth Opportunities (PVGO) and a variety of bug fixes.

Starting with the Black Scholes model, I've built in a method that automatically calculates the theoretical options value with strike prices that are near the current stock price and for a lengthy period of time. All of this you can expand yourself if desired with the strike_price_range, strike_step_size and expiration_time_range parameters. By default, the strike prices between 75% and 125% of the current stock price are used and the time to expiration is calculated for the upcoming 30 days.

For example:

from financetoolkit import Toolkit

companies = Toolkit(
    tickers=['GOOGL', "MSFT", 'AAPL'],
    api_key="FMP_KEY",
    start_date='2022-01-01',
    end_date='2023-01-01'
)

companies.risk.get_black_scholes_model()

Which returns:

I've also added in the Present Value of Growth Opportunities (PVGO), a metric that uses WACC and Earnings per Share to determine the attractiveness of companies in the near future. This was requested by #88.

from financetoolkit import Toolkit

companies = Toolkit(
    tickers=['GOOGL', "MSFT", 'AAPL'],
    api_key="FMP_KEY",
    quarterly=True
)

companies.models.get_present_value_of_growth_opportunities(calculate_daily=True)

Which returns:

Next to that, #94 noted that the Average Shares got adjusted through currency conversions. This has been corrected. Read in the new Q&A why numbers can sometimes deviate from FinancialModelingPrep.

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This discussion was created from the release FinanceToolkit v1.7.4.