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-14301.tar.gz (1.2 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-14301-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14301.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14301.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 urllib3/1.26.10 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-14301.tar.gz
Algorithm Hash digest
SHA256 7d0b6b7027f257f7dcb36fe4a7191209e3d33714da8fd9968cf032f1a2ae9723
MD5 a272c5160f562ccce1d7ed164332173b
BLAKE2b-256 7525ce07a9fba4be2286eefba78d48adb3344bb0a91d3df680bb3a5445e772f9

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14301-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14301-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 urllib3/1.26.10 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-14301-py3-none-any.whl
Algorithm Hash digest
SHA256 de5d40c36532ca7f5698f7ec39951c35d63b07c8d595bf92275f3aad526957c5
MD5 b07ab73f8f5ae114b13d4c7414913737
BLAKE2b-256 4c5a0f3de781b664c573f91ed78f396f0d4b9ecf4c7230865e5cfc9fdfd9530f

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