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-12692.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-12692-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12692.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12692.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/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12692.tar.gz
Algorithm Hash digest
SHA256 e1c888b8c03cc172629d01401932a726efa299968e6bf1b5a5aa62e33e8823f3
MD5 8e430cfdabf3e3b3b5a5d8635fc9e184
BLAKE2b-256 3114e77c2a75ae112c21bcfbea5374da4a72d8280e8aefcf06cf5fe5f89c724e

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12692-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12692-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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12692-py3-none-any.whl
Algorithm Hash digest
SHA256 48f243763d3cb5502839c4f11a2533639e951882f8671b2f6d9f112182536fa9
MD5 c9c212b6cb95f97767a529c310394e30
BLAKE2b-256 6bb6eb4a7e1a288384029285e5e9d9845364d85f66a0aaf9da558e417eebbf28

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