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-13514.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13514-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13514.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13514.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13514.tar.gz
Algorithm Hash digest
SHA256 541874c0027a6ca168d4dec3f6e20a0003de3058b627890e475aeca9e0e4abe9
MD5 99e710be90a6c578980261f20620bb0a
BLAKE2b-256 7320fdaa8ec5307abbde0648407f783c1e8668c8e52eedc535fd5979b03436f3

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13514-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13514-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13514-py3-none-any.whl
Algorithm Hash digest
SHA256 29f7f60c10635057fd75079e54462eddda7915c860abf6a3bc103b2e126c52f3
MD5 b40e9792cec775da8a66a4e95e33ebb3
BLAKE2b-256 370a946b51173c6903bc4a9385f6f3df0c792e451815a76210b764c08890003e

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