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-13269.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-13269-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13269.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13269.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13269.tar.gz
Algorithm Hash digest
SHA256 ead2171b60ac7678ced47d6ccb522999c4ec841dd4978db249765ddfce5b8941
MD5 af1ad5295b6b9b524fe3d1c1631a6ffa
BLAKE2b-256 1d828ab1715134199a3c90ebb4cf8744f930d827295d1ebd1e7f3ede868b8863

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13269-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13269-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.1 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13269-py3-none-any.whl
Algorithm Hash digest
SHA256 a2dd92b988ab3fdb4e7762b8350d18d67247d6e6ae629549805be54149791809
MD5 a39b3815429a313e41fe5ac260018b96
BLAKE2b-256 d2854363b4d58bd89d5f20113d14149687b733ba9d4935a99be18d94b182790b

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