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-12961.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-12961-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12961.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12961.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12961.tar.gz
Algorithm Hash digest
SHA256 688539795c8b1f2cea8e612ea6de4bfba5bef452d5898a42a132e4657e78b949
MD5 85bb8a4389cfa0ab6b45c261158140c7
BLAKE2b-256 d2e56b577ccbc31c10d7ecdd120b868f0d8e9a75a835f15ed48fbdf6a2fa03b6

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12961-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12961-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12961-py3-none-any.whl
Algorithm Hash digest
SHA256 f61e104fa9667684815e2ef7285283a38661486852659e88892b530783659506
MD5 bab633cd3ee0a6dfcbbba9f45e36fb9d
BLAKE2b-256 f5c432c8e2c331cf810a7140e4955d9d83d0af87f1f09f4b3b64c87ea1b93660

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