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-12319.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-12319-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12319.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12319.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12319.tar.gz
Algorithm Hash digest
SHA256 d7ec9bea3b90867f01238c8cf042dedc63d73150af73b0eabcd2210d9d3a4c7a
MD5 f96aa8e8eaf6acae935520c730fbfdc4
BLAKE2b-256 6247abd931c328412aecf15698315e7e1a876c3b0a2f44305ee36b1eb4782b2c

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12319-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12319-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12319-py3-none-any.whl
Algorithm Hash digest
SHA256 2d44730da213e5f5e360e550ba5eb50c404c69997e6e1dfe31563cca144c1a6d
MD5 408c04d46e56d49ca7da208f2a0a27d7
BLAKE2b-256 644ef681d99ccc957c9f8f9bb9b0a05fe7968b01f125b161ca9c314468849586

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