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

14042

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-14042.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-14042-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14042.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14042.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-14042.tar.gz
Algorithm Hash digest
SHA256 e1cc1b271f9cdf4bb6e31d2f5dc4ec94804d0c5d7aa5b23c117acd83899a5f3e
MD5 96abaf6c5d1769d17830ff97372ce987
BLAKE2b-256 d9ed1e4ae81654bab971628f207f49363a63ad00421198dbb33ff19f3f2e983e

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14042-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14042-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.1 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-14042-py3-none-any.whl
Algorithm Hash digest
SHA256 de7cd27e197b3bf2d7df45048d293e6ab85cf9763824ce92bee336bc9a744ab0
MD5 6f045455cec58272daee4a5ffdf77e0e
BLAKE2b-256 f017d3b3ba6350091eb5037ca032188c06e01100d3207ef56473e3b5a9ed3c8b

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