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-12738.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-12738-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12738.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12738.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12738.tar.gz
Algorithm Hash digest
SHA256 dec2fdae4de7dc00bf94698bb08edd2ab3e6f10ec6ecaea56d9b3247b0aa7e2f
MD5 b9076e0d63ac6707d5f04d75a0daa4c5
BLAKE2b-256 b84f4e572fc769570b7dcabfffbfaab3cc242b22d524068a78780f8ea6f93345

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12738-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12738-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12738-py3-none-any.whl
Algorithm Hash digest
SHA256 945e6cae2c96407d35cf6188636ecf084f38c917f6ca73c3536e5603037cbd18
MD5 1147805b89221466e4876096c2c4c3f8
BLAKE2b-256 fab93d72ce265abcb467ef187fd6efcf68c6ef7bdd6e7078fccd556a0b625dd3

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