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-12483.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-12483-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12483.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12483.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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12483.tar.gz
Algorithm Hash digest
SHA256 352b154cfeb9d6f7edab087291eb49c90a51ea489f4b120710e25c9b9a8f16d0
MD5 fc91b6110d30911703e33476cc6b9fdc
BLAKE2b-256 57086863a6889f4a008780ceec720440c37ac5f3e3ef3737276412e890121ba4

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12483-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12483-py3-none-any.whl
  • Upload date:
  • Size: 1.6 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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12483-py3-none-any.whl
Algorithm Hash digest
SHA256 67dd15b203563076f619cc7416713168167e12e568b5f0266108f04a5a5af4b4
MD5 36f0db9159b7f7c78373ba37845781d3
BLAKE2b-256 95ff9bfcd0ad227bd6a254c2ced56de883a09ec2fbe156be299af10028b6a600

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