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-13193.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13193-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13193.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13193.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13193.tar.gz
Algorithm Hash digest
SHA256 e2ee83dfe081f65ed59f8ffc6506ff5a50eddd12a569813760eb01435d0fd261
MD5 e2b2eb24a448dd3cfb711864c907b380
BLAKE2b-256 4229db5ee9c19658b7659844769afc6bd249b85f6749398c3091318f074ca9b6

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13193-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13193-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13193-py3-none-any.whl
Algorithm Hash digest
SHA256 0c37422c5e71ee72314e2c6060c1b2ed1d26b901f2071e97b30f04a93da1ab2f
MD5 74cc41ec70ffa19c0baab43b81172be0
BLAKE2b-256 03a7771b2fcebec35b0641915dfe6d68e82b784cf6497a909bdfff370783f928

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