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-13100.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

quantconnect_stubs-13100-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13100.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13100.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-13100.tar.gz
Algorithm Hash digest
SHA256 b1309e3475bbd1d98cd8cdb226927ba6e8eccb6581c7c049661a7c9f479c6f4c
MD5 d83bb2405e1eab57c014fcbd6c838f5d
BLAKE2b-256 890fb427d2ca831e3b8d53769abb7ffadd027628843cc87cf56e64508fad2a39

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13100-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13100-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-13100-py3-none-any.whl
Algorithm Hash digest
SHA256 5678a514732c8783d116a3334b21a054fda4534eef140458950ab7d5fd6bf406
MD5 60d73b6f8b1a63a66f0083551b4c6b58
BLAKE2b-256 9b99142ea6cdae607a31250c8f21a85d0082a8df18523a390f3a4318e83b7b48

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