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-14174.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-14174-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14174.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14174.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 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-14174.tar.gz
Algorithm Hash digest
SHA256 9bf4e6fb24aa4a959fda149f253c81644fe473b381e39bc89b2a6da0de20db4b
MD5 b69f7fc78ec5131428ec3dcfad2608aa
BLAKE2b-256 a6f0508d57b19f1f5c2a46ea4f18db9fa24f672990c224578584d950890e4275

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14174-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14174-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 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-14174-py3-none-any.whl
Algorithm Hash digest
SHA256 b0efa87c433f596f7ba320b5a25b6d908f44a7b72ec9b202e8ac14fae6518705
MD5 35487d76edbe708c2ec49efe0de73507
BLAKE2b-256 9d26c934f4d82dddd81cd52d19565e68a473ee62ae6418c0c93cdee5c13919f7

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