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-13279.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13279-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13279.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13279.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/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13279.tar.gz
Algorithm Hash digest
SHA256 ef486d77d76ac59f15087ec579e0cded8e0eda6b19a511b8583fbf70f47ebbaf
MD5 84393fc7e7206a6f25b933a28807108b
BLAKE2b-256 ceeedd363eec3f40963990c255607740c24452098c42908ab0e75d53b01f5775

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13279-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13279-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/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13279-py3-none-any.whl
Algorithm Hash digest
SHA256 29235f076ee4ffcdd0498a301316f7a555ce8185747772c01f7814d0dc3e32f4
MD5 32f8e4d9dec910caec07335d7593fa7a
BLAKE2b-256 0e2e894f1241048d6e0cbfcd80d06d793af65f11cb217dc339e3fa733790a56f

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