Skip to main content

Financial Instruments.

Project description

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

# Auto-format code
black ./finstruments

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

finstruments-1.0.9.tar.gz (23.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

finstruments-1.0.9-py3-none-any.whl (25.2 kB view details)

Uploaded Python 3

File details

Details for the file finstruments-1.0.9.tar.gz.

File metadata

  • Download URL: finstruments-1.0.9.tar.gz
  • Upload date:
  • Size: 23.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for finstruments-1.0.9.tar.gz
Algorithm Hash digest
SHA256 7578c21af81ad5df6e8326e11ae9142c17f8956d67bcc6b3ad4c60a3a3395c95
MD5 9f60878cd4af4b9f12a39fc602f58f0e
BLAKE2b-256 a0b7c3bd5a6f6741b6379626d10ce2220d9fe7a3f4261123e0de2cef014cc779

See more details on using hashes here.

File details

Details for the file finstruments-1.0.9-py3-none-any.whl.

File metadata

  • Download URL: finstruments-1.0.9-py3-none-any.whl
  • Upload date:
  • Size: 25.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for finstruments-1.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 e85f9e79631fe19876085144ddfccb48303b6b71cb57c580a0721f7a506ca581
MD5 aec3c24fb42a326708c742a41257b072
BLAKE2b-256 4278780c971b3c5984a45d8a1fcb87bf5e3acbf368180f9f95ab1fecb22229d9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page