Skip to main content

Type stubs for QuantConnect's Lean

Project description

QuantConnect Stubs

This package contains type stubs for QuantConnect's Lean algorithmic trading engine and for parts of the .NET library that are used by Lean.

These stubs can be used by editors to provide type-aware features like autocomplete and auto-imports in QuantConnect strategies written in Python.

After installing the stubs, you can copy the following line to the top of every Python file to have the same imports as the ones that are added by default in the cloud:

from AlgorithmImports import *

This line imports all common QuantConnect members and provides autocomplete for them.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

quantconnect-stubs-13542.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

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

quantconnect_stubs-13542-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13542.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13542.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13542.tar.gz
Algorithm Hash digest
SHA256 54a43e80f03e1540886ade0005653a9e0c0b268de4931c4f0d22bd524ba119bc
MD5 3c8da5f084af17aa14fe2799367a0be7
BLAKE2b-256 04e0926a38ee9d9f558f5b361f76ef8d485b272d83a7f0e2cc5d0748a2c72e10

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13542-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13542-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13542-py3-none-any.whl
Algorithm Hash digest
SHA256 6c2e7479534a9d560f01edfeb7d879eb6a2b9f665c03ef48c220428153045b2a
MD5 1fceadb24d112a50d83e6b1fc0c1694d
BLAKE2b-256 ec03fb0ced4b1fcfe2670505793fa29d8d009145081135c6d24a9e2935d09d75

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