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-13274.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-13274-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13274.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13274.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13274.tar.gz
Algorithm Hash digest
SHA256 5066a97e2f0280373befdbb22a8a7031313570b162ab7462071475e4a1debd7c
MD5 bd03ff7b1bbf8db559ab969371ab98c1
BLAKE2b-256 ff73fe2b1ba83da7ad2e2912b833824791a0f2b15dd0a48baa71b15ba1d34702

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13274-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13274-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13274-py3-none-any.whl
Algorithm Hash digest
SHA256 560826d64f14c98e87d4ee15afddc16d1f0c774f8f4904c62c605e489dd3a0d9
MD5 e9f90cca739c04f20f7233aed63add78
BLAKE2b-256 2e125d764d67733cc27276da9b280fff896fc039f4be2f016f3ae690ece5b222

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