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-14153.tar.gz (1.2 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-14153-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14153.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14153.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-14153.tar.gz
Algorithm Hash digest
SHA256 0341c767453e3cfee492f404ad7dc2031fa98683141a326b55153938c73e90f0
MD5 bc3c99adf851d02f59c733d25a6b4d4e
BLAKE2b-256 bdeb5ce1f01afd7eac8c61b22535c433c5c1cf69c8268545a389f5d971723f09

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14153-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14153-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-14153-py3-none-any.whl
Algorithm Hash digest
SHA256 0b18f42cc13ad6a4631e28f9282e507aa19cd29b95f87dcf6e030f13054a7077
MD5 cbd652a6f7f1f412576b3f7625c5eeb4
BLAKE2b-256 45ecfcde1f3b370c217c2933cab977dad5fa0d09df7cc8d25b2e7c72906bccb1

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