Finstruments: Financial Instrument Definitions

finstruments is a financial instrument definition library built with Python and Pydantic. Out of the box, it comes with the most common financial instruments, including equity forwards and options, as well as position, trade, and portfolio models. If an instrument doesn't already exist, you can leverage the building blocks to easily create a new instrument for any asset class. These building blocks also provide the functionality to serialize and deserialize to and from JSON, enabling API integration and storage in a document database.

Key Features

• Support for common financial instruments, including equity forwards and options
• Ability to extend and create custom instruments
• JSON serialization and deserialization capabilities
• Functions for date handling, business day calculations, payoffs, and other financial operations
• Lightweight with minimal dependencies

Serialization and Deserialization

finstruments includes built-in support for serialization and deserialization of financial instruments, making it easy to save and load objects in formats like JSON. This feature allows users to easily store the state of financial instruments, share data between systems, or integrate with other applications.

Installation

Install finstruments using pip:

pip install finstruments

Usage

An equity option requires a BaseEquity instrument object (e.g. CommonStock) as input for the underlying field. The payoff (VanillaPayoff, DigitalPayoff) and exercise_type (EuropeanExerciseStyle, AmericanExerciseStyle, BermudanExerciseStyle) fields need to be populated with objects as well.

from datetime import date

from finstruments.common.enum import Currency
from finstruments.instrument.common.cut import NysePMCut
from finstruments.instrument.common.exercise_style import AmericanExerciseStyle
from finstruments.instrument.common.option.enum import OptionType
from finstruments.instrument.common.option.payoff import VanillaPayoff
from finstruments.instrument.equity import EquityOption, CommonStock

equity_option = EquityOption(
    underlying=CommonStock(ticker='AAPL'),
    payoff=VanillaPayoff(
        option_type=OptionType.PUT,
        strike_price=100
    ),
    exercise_type=AmericanExerciseStyle(
        minimum_exercise_date=date(2022, 1, 3),
        expiration_date=date(2025, 1, 3),
        cut=NysePMCut()
    ),
    denomination_currency=Currency.USD,
    contract_size=100
)

Linting and Code Formatting

This project uses black for code linting and auto-formatting. If the CI pipeline fails at the linting stage, you can auto-format the code by running:

# Install black if not already installed
pip install black==22.12.0

# Auto-format code
black ./finstruments
black ./tests

Documentation

We use pdoc3 to automatically generate documentation. All Python code must follow the Google docstring format for compatibility with pdoc3.

Generating HTML Documentation

To generate the documentation in HTML format, run:

pdoc3 --html ./finstruments/ --output-dir ./docs/generated --force

Generating Markdown Documentation

To generate the documentation in Markdown format, run:

pdoc3 ./finstruments/ --template-dir ./docs/templates --output-dir ./docs/md --force --config='docformat="google"'

Contributing

We welcome contributions! If you have suggestions, find bugs, or want to add features, feel free to open an issue or submit a pull request.

Setting Up a Development Environment

1. Clone the repository:

   git clone https://github.com/kyleloomis/finstruments.git
   

2. Install dependencies:

   pip install .
   

3. Run the tests to ensure everything is set up correctly:

   pytest
   

Help and Support

For help or feedback, please reach out via email at kyle@spotlight.dev.

License

This project is licensed under the MIT License. See the LICENSE file for details.