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

This version

13570

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-13570.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-13570-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13570.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13570.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-13570.tar.gz
Algorithm Hash digest
SHA256 ff0f1976d8f3eaeda09de3e265d0d17e652257289384cc35f7d418ee78fb28de
MD5 6bd17d8a59103cad0ba69d8999bf38ac
BLAKE2b-256 465f098d4035ef0c7132c29f3fd393c34e9961ad1cd2f2b18450054826b8a537

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13570-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13570-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-13570-py3-none-any.whl
Algorithm Hash digest
SHA256 14f84559862aad743ac6b540febe1a1a121d19c0f35f9b33dd3076c291250922
MD5 72d24a8d2431e976b34c305f5f79b19b
BLAKE2b-256 124e4180e8807b9f668c9a8310d545853de54b6f4b0c8abbf98055d2efb53229

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