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-13282.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-13282-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13282.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13282.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13282.tar.gz
Algorithm Hash digest
SHA256 7bad2ea4a616de1aea24e2a8a2c856921a5075195d5e3229a843ec8b48be2424
MD5 9fafb36b7f4c85c9e366877783f29c2b
BLAKE2b-256 dad537ccee3c1df8a396661d4cf85695ab119b3c2340bd160894fd263fd575bc

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13282-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13282-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13282-py3-none-any.whl
Algorithm Hash digest
SHA256 2c7a07e32e4fadca929516871425872d1ce26abd341a2f04423bb6b160507ff4
MD5 c2cd9d2f929850956f7e11e9303da876
BLAKE2b-256 167b38110045d210002c6561109c6de0d4e12520c5d961b4ef6c59b9b572b2e1

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