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-14076.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-14076-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14076.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14076.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-14076.tar.gz
Algorithm Hash digest
SHA256 58d751f3e2aad327b4b4692aeaa166f50f1407e2cdee95f8e5a0c045f16a761c
MD5 5ea2803110024c15f3da709b56e54204
BLAKE2b-256 4f39172436e2c8759acc9c9f42a9ff7dbb5c68317ff40bf39c9bc678bd59bcdf

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14076-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14076-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-14076-py3-none-any.whl
Algorithm Hash digest
SHA256 ea572098e7b102882ae7dd3f448ad7b1c090992cee693fc0a43e4556b1dc45b5
MD5 8f5cf6d72927c12c039a7e7895cd3e37
BLAKE2b-256 46a59ce718e79fcdfec58377ebd993d9c5c1596d59e95a0556a89db8d4f68a1a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page