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-12302.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-12302-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12302.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12302.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 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-12302.tar.gz
Algorithm Hash digest
SHA256 00dea2a9fdd83b89d2293d89e29406370bf6bebfa11a25fc53089ab3bba6823f
MD5 fabe58bfdba92a922d5a1e79f524a655
BLAKE2b-256 0adfe40ed642f47b5c659753a39cf5c70170d72d128680e977ffaf344b0256ef

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12302-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12302-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 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-12302-py3-none-any.whl
Algorithm Hash digest
SHA256 fc68bf321ee2910e2d8f6e552ae2c0bcc3e0e03835fe317006a12c98bed6ba40
MD5 7c955b1e6f4419338e9759342ae1f7db
BLAKE2b-256 4a2305136a16bab8d896e2e898a9ceaf0c82f87dfc50cb6cf364572d34706c1b

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