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-13395.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-13395-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13395.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13395.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/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13395.tar.gz
Algorithm Hash digest
SHA256 0b5da35b29251d183e38e73ed12dce7ffff653f67b1478161dea75c2c8018b18
MD5 0d9c0032460c1affe8e317710e442d9d
BLAKE2b-256 5778a9ac18b61dc6c92cd1a4c2d313c1d532e4e27f3f01f1d099e0e683d3a845

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13395-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13395-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/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13395-py3-none-any.whl
Algorithm Hash digest
SHA256 54385374d9bc85065ba5b144cf5526c778b2731956f25926c003d0986b5aa250
MD5 2b190aff76708512ea524ef50350dc30
BLAKE2b-256 9be8b06cbdbac6eca9dc56b8a9f7d4ac69fc32e6a970063378a629668028a6ab

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