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

This version

12884

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-12884.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-12884-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12884.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12884.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-12884.tar.gz
Algorithm Hash digest
SHA256 44c2e24a8c8549d46389575f1f75ac6607a424bd0e688430c7153fa743ca650d
MD5 58f2eb3debd697fca9d0398029e55593
BLAKE2b-256 a72aa0345680a84d285bcd7a11b551b0d9b23558c4c588d8a531286ad3e41f58

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12884-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12884-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-12884-py3-none-any.whl
Algorithm Hash digest
SHA256 8517ccce44ba3e1428ca2ba1eb8468ec408be7d1614e85d2be2a07f52e7aa8cb
MD5 56fd5b85f490c0a553b4042d31bdf3ea
BLAKE2b-256 c3fc7afb872eda6126652c345311feb33d4c194ba1e9a8998f43a250b0959761

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