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-12430.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-12430-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12430.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12430.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-12430.tar.gz
Algorithm Hash digest
SHA256 6666a816b4a91802081f2b9685b239d8c7cd3f79d14c21cc66b2095690dd4e03
MD5 c367c7b727171a224bce1f268ea9ca64
BLAKE2b-256 a09aac39ee2624c462e8f503965289f29cd3382a360b1802746751aff0d9fcfb

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12430-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12430-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-12430-py3-none-any.whl
Algorithm Hash digest
SHA256 43f96a77c36e2633be527a4a187c8f6d31a76786d65a284b7dd5e17a5afd8664
MD5 caab6da00fc7cd5af6ac0532780a64d0
BLAKE2b-256 dd183544c5bf1dfe58eb85009e37ae42985c9f7266f5aaa2fdae74c4f9f4eb35

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page