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-12779.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-12779-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12779.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12779.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-12779.tar.gz
Algorithm Hash digest
SHA256 ed470c623c341725b1263a9a92a38006df5c274ba1a661e8ee5a38de42fb4bac
MD5 457641bc469e75363c721db18401f7b3
BLAKE2b-256 e59021a6f73cfa02019496f22d4e1f2a3bc6c7ae17373a8d74595b8b4435a4c3

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12779-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12779-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-12779-py3-none-any.whl
Algorithm Hash digest
SHA256 717f15aa67837cfa168fcbb502905bb0b43f0700ede1e7d3c3886a8b9c415025
MD5 0430a248ecc144294b1533bdad41b1b2
BLAKE2b-256 00e8335bf77ae1209d3ac02fe2fdf52791623c8ab2e9da489262cdcb94a230a0

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