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-13525.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-13525-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13525.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13525.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13525.tar.gz
Algorithm Hash digest
SHA256 fd743d0841b2acdd3343e40c31e7bf7a56bc72d0946df33658f05f83c51bc7e8
MD5 1809009a2ad6bd39292984663d4d22dd
BLAKE2b-256 51f7e5177191b9bcdba04807c8323edd4cfdd0881ad0d563fa7da690655e6795

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13525-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13525-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13525-py3-none-any.whl
Algorithm Hash digest
SHA256 54fb0aaab8367afc807f39f2344f1252158349b18c81dcc8213900efcb993573
MD5 0aa64d74aea4680803012a7392fb214a
BLAKE2b-256 b009bb3f019261e2eed2389c33db7d7435d8e4556196d3a3dcfff694b45ad6c0

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