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-13116.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-13116-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13116.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13116.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13116.tar.gz
Algorithm Hash digest
SHA256 df7f07e5f2e5cec579a44230562e65a6820bb2867c132c1795b23f2d89c02a23
MD5 0ede08cbed2fd0f119697b609d11587a
BLAKE2b-256 1be7d78bdd0d42833bc7cfb1f21607b25fa8938a50e21d4964088016378ed3ed

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13116-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13116-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/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13116-py3-none-any.whl
Algorithm Hash digest
SHA256 fd457ad785bc268e99e0c54e75d5ddd45dbf49b3f789b1ec8093980989e1a2ab
MD5 4f1b94aac521e61c827911bc458bf85c
BLAKE2b-256 43247fba995440a9ea38918316bfe5bf0f3d64d68568ca73b81bd6cdfea81ece

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