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-12620.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-12620-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12620.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12620.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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12620.tar.gz
Algorithm Hash digest
SHA256 cde9d619a0c6f8de7a7e57de08a41ad5100899ca1c4529c074f1b93781eaf8f1
MD5 c52d8287c182a6d1ff88761652f15b94
BLAKE2b-256 9d65a2af70b81cdbd2a9c0e3b32927691ee71187442bc5d9039db094d0d5b9f3

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12620-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12620-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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12620-py3-none-any.whl
Algorithm Hash digest
SHA256 e9b447cd4c90d802236d5644fb70bb1d1d9893026cf598ee9dab37eb3aa35bbd
MD5 44848f19444ae0ee1e69f8639fce9a4a
BLAKE2b-256 2eb4cb94f60cc511350cba5b492cdcceb09d3bb00f9288817024b83a6d1fc83d

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