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-12440.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-12440-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12440.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12440.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/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12440.tar.gz
Algorithm Hash digest
SHA256 182785716492d521380b747f40ba2575a266b4f3b598ceb3f215646d8e170421
MD5 5f953f9ecd10309031f19d205fd53dbe
BLAKE2b-256 62d2f4dbac1c7fe20f96d4a0d21b95fa43d3793eeed6f33bd6ae788a25ee15fd

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12440-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12440-py3-none-any.whl
  • Upload date:
  • Size: 1.6 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/4.61.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12440-py3-none-any.whl
Algorithm Hash digest
SHA256 2b9a798b485dbc05753a227be60355ad784924b82fbda33fc10fbefa0391f630
MD5 4e29d58a67de2de5e1db641fdfe9647a
BLAKE2b-256 8121c5278025fe7f882fa8beb8f98af8cc0512aa4425cacbc310c3f8f5c67e07

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