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-13098.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-13098-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13098.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13098.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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13098.tar.gz
Algorithm Hash digest
SHA256 b4774b589bd2d858c3d3ab37a5bb8982fae7f362bf2265719bbf80564358b213
MD5 2dea5acc2b62d0c106e0dc25ea1e9b14
BLAKE2b-256 13841ff1ef9e5beb5cd58eb92708f9bbdd6b8cf897ac01aeae3979a774de989b

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13098-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13098-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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13098-py3-none-any.whl
Algorithm Hash digest
SHA256 dcd5fee7c8d1c0979a9c5141bab3ff37ff065a1eb630b0a84e303036f2458942
MD5 64a4ab9ad203c9613a64f82bf6632c45
BLAKE2b-256 791fd7f38641572c236cf71345210d4f4ef74b7248ba46ee1ec8c3fec35ca08d

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