Skip to main content

Shared models and interfaces for finance datasources

Project description

pydantic-market-data

PyPI version License: MIT CI Status

Shared Pydantic models and interfaces for financial data sources. Defines a standard contract (DataSource) and data structures (OHLCV, Security, History) to ensure interoperability between finance packages.

Installation

pip install pydantic-market-data

Usage

Models

Standardized data models for financial entities.

from pydantic_market_data.models import Security, OHLCV, History, SecurityCriteria, Symbol

# Security Definition
s = Security(
    symbol="AAPL",
    name="Apple Inc.",
    exchange="NASDAQ",
    currency="USD",
    asset_class="Equity",
    isin="US0378331005"
)

# Historical Data Point
candle = OHLCV(
    date="2023-12-01", # Coerced to FlexibleDatetime
    open=150.0,
    high=155.0,
    low=149.0,
    close=154.0,
    volume=50000000
)

# Security Lookup Criteria
criteria = SecurityCriteria(
    symbol="AAPL",
    asset_class="Equity",
    target_date="2023-12-01" # Coerced to FlexibleDate
)

Protocol

Implement the DataSource protocol to create compatible data providers.

from typing import Optional, List
from pydantic_market_data.interfaces import DataSource
from pydantic_market_data.models import SecurityCriteria, Security, History, Symbol, HistoryPeriod

class MySource(DataSource):
    def resolve(self, criteria: SecurityCriteria) -> Optional[Security]:
        # Implementation...
        pass

    def history(self, symbol: Symbol | str, period: HistoryPeriod = HistoryPeriod.MO1) -> History:
        # Implementation...
        pass

    def search(self, query: str) -> List[Security]:
        # Implementation...
        pass

CLI Support

The package provides optimized pydantic-settings models for building professional CLI tools.

from pydantic_market_data.cli_models import SearchArgs, PatchedCliSettingsSource
from pydantic_settings import BaseSettings

class MyCliSettings(BaseSettings):
    search: SearchArgs

    @classmethod
    def settings_customise_sources(cls, settings_cls, **kwargs):
        return (PatchedCliSettingsSource(settings_cls),)

# Usage:
# my-tool search --symbol AAPL --vv --format json

Key CLI features:

  • Clean Help: Automatically removes default values from help text for a cleaner look.
  • Improved Flags: Normalizes double-dash flags like --vv to -vv.
  • JSON Schema: Adds a --schema flag to output the interface definition.
  • Metavars: Custom types (SYMBOL, ISIN, etc.) provide descriptive help labels.

License

MIT

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

pydantic_market_data-0.2.1.tar.gz (14.8 kB view details)

Uploaded Source

Built Distribution

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

pydantic_market_data-0.2.1-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file pydantic_market_data-0.2.1.tar.gz.

File metadata

  • Download URL: pydantic_market_data-0.2.1.tar.gz
  • Upload date:
  • Size: 14.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pydantic_market_data-0.2.1.tar.gz
Algorithm Hash digest
SHA256 b5992db6816e272aaa103243bc188e999496df1a5ade197b9682f0a586586ccd
MD5 f58a35b3c0891fc9f2f7061a8b873767
BLAKE2b-256 4b3997b661a011239565163b867b45689009d85588b899cb0ae006912eec6ada

See more details on using hashes here.

File details

Details for the file pydantic_market_data-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: pydantic_market_data-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 10.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pydantic_market_data-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 874944a8667cab7c0a770b9efeccea9b055f54c6d0c12c9f9acecc21b9ef63b6
MD5 7133ac0432fafc6befd903908bcebe95
BLAKE2b-256 412a2a563e75d93086cea57b7611e91d4d982a7cd45a195ad68f7a906dcc9e1e

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