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-13093.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13093-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13093.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13093.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13093.tar.gz
Algorithm Hash digest
SHA256 77544b82a09e33029237901f67ebe1d055c046c1845f65d8a96c5f9224206549
MD5 ddd5fa9f2a0d86407979d6054f3e0db4
BLAKE2b-256 86d8839f7f16968fc965b2d94750ec2ec36178155906335736772845d2af753e

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13093-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13093-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13093-py3-none-any.whl
Algorithm Hash digest
SHA256 ec72c6a6b628171808bc3616ecd573b8fab0d435f2439a46573c4b048ed7e357
MD5 eea73b936522d27f39a918a762734e80
BLAKE2b-256 c00b82cdc157dead0cfc2dcb4db170be7ebbf33e4c16d81240e350d583b456a1

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