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-13541.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-13541-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13541.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13541.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect-stubs-13541.tar.gz
Algorithm Hash digest
SHA256 5a8b04068491fc2c17a8115e9146354d85021f5cd5541b0ff75268d464d537db
MD5 4f7a81efbbd41bec82bc4dc807577ff5
BLAKE2b-256 407170369a9f59bd6859e6b4c930ca54711f03e06b5dd56d161c350af6f01da0

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13541-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13541-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for quantconnect_stubs-13541-py3-none-any.whl
Algorithm Hash digest
SHA256 5422a4a32fb045947b11a87500c2882827fff2babcf439f82402f4eadfc7b3b9
MD5 d9f8e4409a1a8242e54e37b94094a9e7
BLAKE2b-256 5eb0b4071cf507bb2547144f2b82567b66c3768367b68187301e4ee579a023d0

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