Skip to main content

Financial markets ORM, engines, and application management extensions for Main Sequence.

Project description

Main Sequence Logo

MainSequence Markets

Docs License Python Package Open Issues Last Commit Maintained

ms-markets is the financial markets extension layer for the Main Sequence platform. It provides reusable market-domain ORM models, market DataNodes, portfolio construction utilities, repository operations, and application-facing helpers for building financial systems on top of Main Sequence. QuantLib-backed pricing is an optional package surface, not part of the core msm import package.

The Python distribution is named ms-markets. The import package is intentionally short:

import msm

Project Status

The initial core package was migrated from mainsequence-sdk/mainsequence/markets into this repository under src/msm. Architecture and implementation decisions are tracked in Architecture Decision Records.

What This Repository Contains

Main package areas:

  • msm.accounts: account identity, holdings, virtual funds, and account target assignments
  • msm.api: user-facing Pydantic row objects and typed class methods for markets MetaTable records
  • msm.client: client-facing Main Sequence market models and API wrappers
  • msm.data_nodes: market DataNode contracts, including asset snapshots and asset pricing details
  • msm.execution: order managers, target quantities, orders, events, trades, and execution errors
  • msm.models: SQLAlchemy market-domain *Table declarations and MetaTable registration order
  • msm.portfolios: portfolio configuration, signal weights, rebalance strategies, and Virtual Fund Builder workflows
  • msm_pricing: optional QuantLib-backed instruments, curves, fixings, and pricing helpers installed with the pricing extra
  • msm.repositories: compiled persistence operations over market-domain models
  • msm.services: application-level orchestration over repositories, including asset lookup and OpenFIGI service helpers
  • msm CLI: package maintenance helpers such as explicit agent-skill copying

Repository areas:

  • docs/: MkDocs documentation, tutorials, knowledge guides, ADRs, and API reference scaffold
  • examples/: migrated market examples from the SDK
  • .agents/skills/ms_markets/: source agent skills for market-domain workflows
  • tests/: automated tests
  • src/msm/.agents/ms_markets/: packaged agent-skill bundle installed with the wheel

Documentation Map

The documentation is organized into four reading modes:

  1. Tutorial: guided learning material
  2. Knowledge: concept-oriented guides for each msm package area
  3. Architecture: ADRs that record implementation decisions
  4. Reference: generated API reference scaffold

Recommended entry points:

Quick Start

Install the package from this repository in editable mode:

python -m pip install -e ".[dev]"

Or with uv:

uv sync --extra dev

Install pricing support only when needed:

uv sync --extra pricing

Install the project-level FastAPI surface only when needed:

uv sync --extra public_api

Verify the core import:

python -c "import msm; print(msm.__version__)"

After installing the pricing extra, verify the optional pricing import:

python -c "import msm_pricing; print(msm_pricing.FixedRateBond)"

Copy the packaged ms-markets skills into a host Main Sequence project only when you explicitly want them available to agents in that project:

msm copy-msm-skills --path /path/to/project

Importing msm never mutates the current directory or auto-copies skills. The command writes only to <project>/.agents/skills/ms_markets/ and leaves unrelated .agents content alone. Use --dry-run or --json to inspect the copy plan.

Common Development Commands

Run tests:

pytest

Run focused linting for optional pricing:

ruff check src/msm_pricing

Serve the docs locally:

mkdocs serve

Build the docs:

mkdocs build --strict

Build the package:

uv build

Publish a tagged release to PyPI:

git tag v0.0.2
git push origin v0.0.2

Pushing a v* tag triggers .github/workflows/publish-to-pypi.yml, which builds the distribution and publishes it to PyPI through GitHub Actions using trusted publishing for the repository pypi environment.

Core Dependencies

Runtime dependencies are declared in pyproject.toml. The core stack starts with:

  • mainsequence for platform integration
  • SQLAlchemy for market-domain ORM models
  • pydantic for typed configuration and serialized row contracts
  • pandas and numpy for tabular market data and portfolio workflows

Optional extras provide documentation, development, portfolio, public API, pricing, and Streamlit UI tooling. The public_api extra installs FastAPI and Uvicorn for the project-level apps/v1 surface. The pricing and pricing-streamlit extras install QuantLib and the optional pricing runtime exposed as msm_pricing.

Package Metadata

Project metadata is defined in pyproject.toml.

License

This project is open source under the Apache License 2.0.

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

ms_markets-0.0.8.tar.gz (273.3 kB view details)

Uploaded Source

Built Distribution

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

ms_markets-0.0.8-py3-none-any.whl (258.4 kB view details)

Uploaded Python 3

File details

Details for the file ms_markets-0.0.8.tar.gz.

File metadata

  • Download URL: ms_markets-0.0.8.tar.gz
  • Upload date:
  • Size: 273.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ms_markets-0.0.8.tar.gz
Algorithm Hash digest
SHA256 1fbf4c3924f90826fef09facfe35e13cc652dcf54b5e1adafe3830ec6200a040
MD5 d3c0304ffd0c7f8dfd1bc9d26655a586
BLAKE2b-256 9922b1ce034512f0b4ba5741466e1bdd293a6b18d2b407a73d27c1c08f8ba2a6

See more details on using hashes here.

Provenance

The following attestation bundles were made for ms_markets-0.0.8.tar.gz:

Publisher: publish-to-pypi.yml on mainsequence-projects/MainSequenceMarkets

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ms_markets-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: ms_markets-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 258.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ms_markets-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 8914e74cf7b1f1c18b458fff5d86040632ef531d8bd9382b2c6c5fc6c10cef1a
MD5 cdf957f2ee849c835e9258ba529e4495
BLAKE2b-256 b86ed294c3ed76ab96c7a98a3150fbc85f56a78f766493d3777423c3d7aa1dce

See more details on using hashes here.

Provenance

The following attestation bundles were made for ms_markets-0.0.8-py3-none-any.whl:

Publisher: publish-to-pypi.yml on mainsequence-projects/MainSequenceMarkets

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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