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

This version

12255

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-12255.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-12255-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12255.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12255.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12255.tar.gz
Algorithm Hash digest
SHA256 ceb3ba5f8580d893ca359fd7e3e35fc02e3ed1d4db2e2bdc0a3acc28aafce9c3
MD5 a4ce271fe194d013de0688beb664203d
BLAKE2b-256 49c791a56f3d7ce28d7a7394caf936bbd5d6c387dc923183a0b6b745ac2229e7

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12255-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12255-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12255-py3-none-any.whl
Algorithm Hash digest
SHA256 3d8edf04648ef164ee9ae9d05f2ff932c33e38aa545153a4d34facd487fb4704
MD5 bc6db66df2757552d8d10d73aa820164
BLAKE2b-256 a3cfcf8a273f374cbb0ab57eba8db26796782e760f5c82282780aa7dc6070011

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