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

This version

12538

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-12538.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-12538-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12538.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12538.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/4.61.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12538.tar.gz
Algorithm Hash digest
SHA256 0feac5318b5551af50a6a5620c64f72fdac6f805b51e3552c30deb7dda3413b3
MD5 938237b7f5edf8fcdca63b46ac4f82b2
BLAKE2b-256 c40179b291a999833e002a46d01fad64e456456c0e5498c4f8c74517fbd020e7

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12538-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12538-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/4.61.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12538-py3-none-any.whl
Algorithm Hash digest
SHA256 1d91643ce19dcf09ad4701630dd184ea67ff9bc0b5a84d7cd0a7e86151165a1e
MD5 be4656bd682dd493c1a83e1a9fe40299
BLAKE2b-256 b89d89d458412933da5ea38b95c6e1f14de650b93153896fd67722bd2bc0def8

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