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-13537.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-13537-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13537.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13537.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-13537.tar.gz
Algorithm Hash digest
SHA256 61d0cf4d4b09ad4a2515a4e4610d46ee2899dc43267a07f5ad0a3c12fede3eee
MD5 f2c63b9023358c58258928428bcd7c05
BLAKE2b-256 c99174bb5a3bc2e46eeffe9340a4b494cfa1176fd66003e8418eb48a36a85918

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13537-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13537-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-13537-py3-none-any.whl
Algorithm Hash digest
SHA256 09136fe50afddc88922a1d4ffb693803406e0332f9a01b085d48c4354aeb097f
MD5 6c42f4d56598df4be1718b570fd4f7dc
BLAKE2b-256 dbabcdd6cc8a4de307edf55b7a80e17cb4f3ee48f9eaf1fedc794bb73ed9e03f

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