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-13118.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-13118-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13118.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13118.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-13118.tar.gz
Algorithm Hash digest
SHA256 9128074bc485d48a7e8fe9ea317841b01ff964e2b424ca691a3d20880ea6198f
MD5 0b2d50eafa4e1854429c947ea18b4d4c
BLAKE2b-256 cc6e951b15a290c623ca6b1d54de6b9c6660582ebcc6d10a5a2dbcc4a6d6e743

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13118-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13118-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-13118-py3-none-any.whl
Algorithm Hash digest
SHA256 d5b412121cf17a0ab93262fb8e87a5bd8e2b6c5a859f707e1de35031bc2fad61
MD5 3cab1229d7818296020531df896fee00
BLAKE2b-256 ac544926506e55c7108eff632ff2e14b2ec7dde3bea2d907a62baae0c30febc4

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