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-13360.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-13360-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13360.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13360.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13360.tar.gz
Algorithm Hash digest
SHA256 1daf1e0e1cc749c92289232bc001d1b8b04472736db0b362dbe53f1f66e1014f
MD5 0a58d58c6c5b800a6e61aa055b9fdb14
BLAKE2b-256 b08253abc8b404bc401153daf3221be1da8e2e89755f259f05ae4103c512f565

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13360-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13360-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13360-py3-none-any.whl
Algorithm Hash digest
SHA256 e7548d424c914b027fe85dad6ce9dcf12729baaf6580e30ce19dfe6a353a4e84
MD5 a8526602c17239fefad89cd9bbabaa0f
BLAKE2b-256 f658888e07b9116365ac98f9f4a5fe2b6602fccb3e5801dff2c693a5d2b5c61d

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