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-13188.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-13188-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13188.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13188.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/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13188.tar.gz
Algorithm Hash digest
SHA256 1872789839c1c46c71a1412c91c027c79e5de06148c7c174a3a72f3558b596f5
MD5 53d89f8eda752c990b4fd14c6cc9e940
BLAKE2b-256 354acb2b2e328b70c47e71ce4ec0e9a4ae06fc8e5869acb8c55e1303e05c61bf

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13188-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13188-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/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13188-py3-none-any.whl
Algorithm Hash digest
SHA256 0576b0bb83cad3d14fb8ffd202d53cf955942bb7b167ff0d75ad31c030c254be
MD5 1470309329bd5b3fb4f88134b261b4a5
BLAKE2b-256 2aad7eb8cccee9636eb762ecf02a8b94f2a5ba7f0541db42c47791edd46a60a7

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