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-12998.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-12998-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12998.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12998.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-12998.tar.gz
Algorithm Hash digest
SHA256 6a0b11946623a5ee794bf9a8e8cb2ee6d4cce906baab4ea4c3387e964887b72e
MD5 75dd575a157217cdcb57148a5c9a716e
BLAKE2b-256 06e4ff09b6da315dca4f72c2359ad356fb6478d1681b5007845baab9617a9042

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12998-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12998-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-12998-py3-none-any.whl
Algorithm Hash digest
SHA256 de2f73b35ae4fe0d6ab99c0b6ebdc736d9c3dfb793c534e08555233c207416bb
MD5 bb31e584690549f45303f2ba80d88823
BLAKE2b-256 cee7eceff8130e8f494523dcf8daeda6c1d01146dbbc0644828d804cdc0a36c3

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