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-13559.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-13559-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13559.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13559.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-13559.tar.gz
Algorithm Hash digest
SHA256 cad4d69ff49265d123d7da32a3d319fb75c3b064301fef31f3922c4aa2a7bc8b
MD5 81f5e607694a8fc0cb378e40e29a9baa
BLAKE2b-256 4b8bc9d030d59910e8a0e86193b16222f37044ab95c3fb7806301acc93845d47

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13559-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13559-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-13559-py3-none-any.whl
Algorithm Hash digest
SHA256 c65aa3e9b6981206c001f441d15b404bd1d90c5c062af25e9a081bd7da601c8c
MD5 e43e5f2b70266d775601263a7476d657
BLAKE2b-256 bb4f3dd659f6d29acb211eee8fafc3ed80588cd19ebd49927448a512151fcc7f

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