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-13056.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-13056-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13056.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13056.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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13056.tar.gz
Algorithm Hash digest
SHA256 68844ee2b8de633e1e1b86e719a1225180d79f364c5d2697e4a5128f46ae595a
MD5 12311a320d053edeaf570c96402abe43
BLAKE2b-256 44de52a7e5bbaae4e7826df29811c46c1451c1139d9097b7523e0ad194105936

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13056-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13056-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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13056-py3-none-any.whl
Algorithm Hash digest
SHA256 bb6f8d3075089f7729cbdf59c6438ca06b4751fb2f863511d008b7932738c682
MD5 9e15566bccdf4bcad998ad22b5f6779f
BLAKE2b-256 3c0f5f5a20ea7962bf4c65e983e2df670fd722c7d0a076b1fc8a2f70c6efa142

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