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

This version

13148

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-13148.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-13148-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13148.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13148.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-13148.tar.gz
Algorithm Hash digest
SHA256 206933d24639223a03c42b3e70d601d68a21ac5cc31e8e8c34a2a81a8a3f2e29
MD5 4c768e878c259421945de7591d9d8daa
BLAKE2b-256 cb1ef28217add310909fcd71c90e10614343b88b738cdff2d96cf9c5b108544e

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13148-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13148-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-13148-py3-none-any.whl
Algorithm Hash digest
SHA256 f9e7f4a4b614a06b4d5fe96dac8aa51d319dfe1cc90a633b496ca876902e04b3
MD5 7e1ba6dc1209d7e317a57b02a6e773a7
BLAKE2b-256 aea78728ca5cea83093c85cdbe4eb2ede30c3a6bdba4b0a54b10fab69426faad

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