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-12593.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-12593-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12593.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12593.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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12593.tar.gz
Algorithm Hash digest
SHA256 5797b824447505ac623d5c36ba35e25d7b3e973c32812de1637125126a35abbd
MD5 04874781b8418fbb076f4b92f68f1077
BLAKE2b-256 96654fe8232c6812277a066cb3ce66ec7023c67b0f56c01ff3e3b9e370485f70

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12593-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12593-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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12593-py3-none-any.whl
Algorithm Hash digest
SHA256 10b73ff9da44ce042c7344d1fdcbcb8d3327abb0f854db43f19a688b76e90ec6
MD5 4d2a35947781e3d0a28cc14d19a74fc9
BLAKE2b-256 7126fe265d70cc12d373f560ee57b012b8478dbe35986b19f4d06d3a3b73a9de

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