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-13253.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-13253-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13253.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13253.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-13253.tar.gz
Algorithm Hash digest
SHA256 ea6ace67bb09cfb2e490a872c29e58a7b3648b4bf0dea9369edfb5b12567ac9d
MD5 aed293b9b3446c6b4f91b23610242066
BLAKE2b-256 d2f68edddf382966fa1e7298c01545eed5a169774185660828b6429a425517f3

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13253-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13253-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-13253-py3-none-any.whl
Algorithm Hash digest
SHA256 7e62ec1426357c2e9d04fad6095e4a4a6cc56aa3ab699128c21dc0fc9eeba893
MD5 e6642dbe6433e955788d1a883a134d93
BLAKE2b-256 fce36053238d31c6051bec030d03bbdb018d4d99a0a72c14bc96169a7752a06e

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