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-13484.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13484-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13484.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13484.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-13484.tar.gz
Algorithm Hash digest
SHA256 33fd285f2bda63de5a9f5786f23075deb2a5d3959711eaf221405a27c9e4efb6
MD5 59470c398648e52197e1aba2a82a601b
BLAKE2b-256 888804a262254735bfbc57683908469c872f95396def1cc2000b225217a88a0f

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13484-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13484-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-13484-py3-none-any.whl
Algorithm Hash digest
SHA256 3ff3d7445dd2070bf1933a01ef8852a20cfb1beb42e4f2f2f5152433ac98c490
MD5 b26be8308631a4a732a014ee298253e1
BLAKE2b-256 85c2a5586f2c657adc8d6ce44c2b8cf1f9425a36bb2a809929860b7d19340e20

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page