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-13067.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-13067-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13067.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13067.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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13067.tar.gz
Algorithm Hash digest
SHA256 100067fc923fc0445335e1b0e3c3c222c7fa51629d3ef609ffba318c860068fe
MD5 338259d3fd451086b5b9f667fc3306ae
BLAKE2b-256 17baadb50f139308ac8b7863a975cf29efeac1fb5912dd8d0b15d8d9b9dd79e6

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13067-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13067-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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13067-py3-none-any.whl
Algorithm Hash digest
SHA256 6515d5bab448aac3203ef04608f219d89ccf9eea73665f7015cc6890b8137a0a
MD5 46848774efcbad8845c23709c1fcbe9c
BLAKE2b-256 b80bcb091a9b1c582c76b2bbe24ab627114f3331db5c41006f71701cfd204b80

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