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-13532.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-13532-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13532.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13532.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13532.tar.gz
Algorithm Hash digest
SHA256 acbdb7345667a6a2162d71d2c74c30692b763d07250183f9e5d4d9eedd6d660c
MD5 23ea290a507169d01ba6931430d7bf8a
BLAKE2b-256 76cc2a4d6482e32e201a70b0cdca910fdaa31832bfa2aa4e39884b0fec518c35

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13532-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13532-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13532-py3-none-any.whl
Algorithm Hash digest
SHA256 b2a3889f085a7113c60728e91aa1960baaf4dadecb85235d503369564abac614
MD5 d45608e74a6c5d9f28edc0884377e1df
BLAKE2b-256 ab3d855744dde3000f5f4df1f5dd5212571dfd4e9f5bbd83279a62bc7dfc406c

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