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

12819

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-12819.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-12819-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-12819.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-12819.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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-12819.tar.gz
Algorithm Hash digest
SHA256 58a715b2c5954eb5b1d478e7d4283115da8631a30a957ec208e9619d8999d063
MD5 53ccb4899e8501fce84a954f718e015c
BLAKE2b-256 d72b92aa437b45ba2d2b93d5c211e3f036d62dfe55221ea228c037bd2b5d0070

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-12819-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-12819-py3-none-any.whl
  • Upload date:
  • Size: 1.5 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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-12819-py3-none-any.whl
Algorithm Hash digest
SHA256 26b88f519153bca354a467ec396da990481b09f918d9e9397e121ab2a5bbec80
MD5 6f156b58a4760b4bf8a1360fde48a0d5
BLAKE2b-256 2caad1280121b881eeab3675a3b8030f64a36edd9187e5c9d8540a08db8f9d51

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