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-13117.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13117-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13117.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13117.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-13117.tar.gz
Algorithm Hash digest
SHA256 9cae1ceb8716c11b394b654235296ed2f77c286762e9bd64fd7ef396c0c703ef
MD5 2e0a3fd125ac54aa70d8551cf0296abc
BLAKE2b-256 bfd96226ef1b0c5a73cfe511965c49042a8329a21b73e58836568c208dad8d13

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13117-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13117-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-13117-py3-none-any.whl
Algorithm Hash digest
SHA256 776b12287e3680266111bb6bb0ad0a4b06c91d2ae957ade911a271fd703ba1ef
MD5 808e751bdf09d7aa640d1a197a88527e
BLAKE2b-256 d734899850073e8301a43e708425c98b6de5cc8a7cce39939605208be5a58798

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