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-13476.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-13476-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file quantconnect-stubs-13476.tar.gz.

File metadata

  • Download URL: quantconnect-stubs-13476.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-13476.tar.gz
Algorithm Hash digest
SHA256 4824149183f8f7ecb014fbbd1e25ac4884505c9ec4d6d5a6eaaa37ac7042dc5b
MD5 f85f51c0d911a8a17a0b51559bdb7c8a
BLAKE2b-256 5f7c2049e9400f7d5d7f08968feedd005d9841a29b507111d8e3b1a16eddc143

See more details on using hashes here.

File details

Details for the file quantconnect_stubs-13476-py3-none-any.whl.

File metadata

  • Download URL: quantconnect_stubs-13476-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-13476-py3-none-any.whl
Algorithm Hash digest
SHA256 ec1a0cc4c65b1c80b922ef76f8a7dea3b62c4c786c5ba530724ff87051553d18
MD5 d19a8ddf3e3967abd3dc44f3b592976c
BLAKE2b-256 605359da9b711d132a7b8b4f9519e47686d6e8b397c6a5abca75aaca08849210

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