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-14083.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-14083-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14083.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14083.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-14083.tar.gz
Algorithm Hash digest
SHA256 30c41e90207336c507b42301be0d1d8921e9296460ac25e59dafd197462fe4c3
MD5 96d4d88fde428ddc05279ed68e4abd3e
BLAKE2b-256 a6610c0240b05bc70210374fd9132089b806cf27631e96b0b2666bf2cacd35de

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14083-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14083-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-14083-py3-none-any.whl
Algorithm Hash digest
SHA256 c5046a488cea62bd5029d035b07256bfeffd2575d647343c3878d4ae10e36e12
MD5 b9c49f0411a5537e53a351edb38a8fe9
BLAKE2b-256 643b75b5af837dcb912da590759d5d51ae87ffbbf56321c3e08351882cc81a44

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