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-13125.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13125-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13125.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13125.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13125.tar.gz
Algorithm Hash digest
SHA256 83f51f41157e107c7ba94f8f0d8357e179df35918c741ce79520826bdb95b42d
MD5 31f6d93c403b89d2ebe9ea3ea6dae720
BLAKE2b-256 4cb098199bc725f0586b57329190a69f207b08c5789dc7355bcb3dff39a2432f

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13125-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13125-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/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13125-py3-none-any.whl
Algorithm Hash digest
SHA256 3ae9d83746439f7032dc0df56b01ad20196be4d10e24a617393eef80479be091
MD5 3bcf03dbe50637d91fc67360e7e28553
BLAKE2b-256 028abbd1a03aa4723c1a39752ffacf0e0110181ad02f0ae6d9040ee9e8afc801

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