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-12598.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-12598-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12598.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12598.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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12598.tar.gz
Algorithm Hash digest
SHA256 9ab8f9882e81a67cd786ae9c7b074edd598b49cccf0f93a3334ec4cd0cf682a7
MD5 bab8d4f508b964c2f6313cb14d1ef525
BLAKE2b-256 2e7a8ba678eecb8d9b96cb56306f4a4aad7320f17ecf502a87c704cdc62e997e

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12598-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12598-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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12598-py3-none-any.whl
Algorithm Hash digest
SHA256 6a5e8cf796cae5402ad5810298648b6d36cb00794f0e5e1fc5b0af316b9c468e
MD5 c482c89f3337720fcc87352c90d25f6c
BLAKE2b-256 69ae7a4025ae91e1c6ad93f726b4aa62b0bdfee7c4ee61fcb21f6a3eeb584610

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