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-12282.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-12282-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12282.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12282.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12282.tar.gz
Algorithm Hash digest
SHA256 452a38dbe3042bf5669554997f602433348da662fdb2edf9b55ec150b8435c2c
MD5 366bf935f047e94a633dd0bfe93fdebc
BLAKE2b-256 5d1bbb278ca3b0e21cbb5d74d5b3a7592b964f4efb3cdea34e946ab726140e9b

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12282-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12282-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12282-py3-none-any.whl
Algorithm Hash digest
SHA256 61215014fe081b5788b718eae9e09a7cfadb67fa18c8a47158e47030f1299f48
MD5 b7a722ff8cfef1240d4c2656323e5fcc
BLAKE2b-256 9dec28171c77db0c221870c3aca38b45b70a89efd18e6433214990c5b28a4e79

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