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-13795.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-13795-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13795.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13795.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13795.tar.gz
Algorithm Hash digest
SHA256 2f2a18473550e7b0ce59726dfdf2ac39871d9700fe95701a02987858c1fd1bfc
MD5 3f42da39957f1e320747e49900ea3af4
BLAKE2b-256 2ef9731165c95aaa103f558eeca0341e7178bf3b39667686c5bb02cc5b53569d

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13795-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13795-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13795-py3-none-any.whl
Algorithm Hash digest
SHA256 1d18197f87e457031c2e00f2c6c500ce3bdd8d0fb60f79e989ae73ffb03b0e72
MD5 161e44d9fa7061153a19156ee2da7e7c
BLAKE2b-256 ccb5cb25a62b2d1f30c13a74679dfd953e585580851c1fe383cc8fa2fad1d202

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