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-13479.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-13479-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13479.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13479.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-13479.tar.gz
Algorithm Hash digest
SHA256 9d7c94636cadd80dd863133e2958f62043d46cc8da46fb729926d84ea3602f7c
MD5 74b2e67aa46cc834379b8cfafba8301c
BLAKE2b-256 c0f6a839b6a0b0dba468a1ee666230d4eee6656fb009acad92fbbedc4848d160

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13479-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13479-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-13479-py3-none-any.whl
Algorithm Hash digest
SHA256 df75a202b9a4fe021d441a93672861b257de91af4b5141327227117c1d1a971a
MD5 1c5c402de68058214ee5fa15e731be0d
BLAKE2b-256 f66e5a40b010a20204d9a5551f5e9a8780504196c2e6d83f2974349161a66c4d

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