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-14166.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-14166-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-14166.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-14166.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 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-14166.tar.gz
Algorithm Hash digest
SHA256 bbd854244d5c40d2830525790b5faadd46111aea12139eb739875e257b57c63d
MD5 8eb469a531c4cc7cfe1e18369c613b1f
BLAKE2b-256 6b69b5f43be08b84deca07d90b4a3568b525c4329b2cf4198537fb2429ff14a9

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-14166-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-14166-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 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-14166-py3-none-any.whl
Algorithm Hash digest
SHA256 1881af57d83bc01dccdd0df10f4058514a1954e09bc2f5b0a13515a0b5689744
MD5 34fc7e9c7d8e5e4413d48bad621da89e
BLAKE2b-256 c3755120534698ea411ccb7792db01f4eb3dcae8b16de1210fbdbc1f4efa2bb5

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