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-14149.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-14149-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14149.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14149.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-14149.tar.gz
Algorithm Hash digest
SHA256 6c92c6d9129326a90135290c236bd0d5ed0de7eb2052644725518c85655f9cde
MD5 864e0a7339d673751c94110b645ec40b
BLAKE2b-256 d957e8b2b194f749cfc36453642be777593be22dd175af19d5e7962d1de357f0

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14149-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14149-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-14149-py3-none-any.whl
Algorithm Hash digest
SHA256 ca59ecc1671ac831d8bc34899f1f8712454f4a36d9ce56a2c1bbaecdfdef28e4
MD5 5bbbb90d5b5d4cfeb75f6b2428882e8e
BLAKE2b-256 c5442dd88178d9812d49c9d50804037aa14727f1de7c026699ca822572d3401f

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