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.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file quantconnect-stubs-12686.tar.gz.
File metadata
- Download URL: quantconnect-stubs-12686.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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5001c028b5213b05b8a2ea59b0e678533a3a7718c03b347767348ad19b247578
|
|
| MD5 |
8b0fca0abf38ffa474eba5476ada7ede
|
|
| BLAKE2b-256 |
a77e0661e09429b56739ca4315b360afef99843357c9d7b040e659ec664a22b2
|
File details
Details for the file quantconnect_stubs-12686-py3-none-any.whl.
File metadata
- Download URL: quantconnect_stubs-12686-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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
777f56ff105a0ce91240f6c44fce3320d29370dc73d4f2b518ceb04e9e10d079
|
|
| MD5 |
82dcd52ccca89a8ffc3aea04897dcfc2
|
|
| BLAKE2b-256 |
119c0b4b3e3dc78dfe86ea2e93e6684a34925c1025d3ad07dc07e0a18b9bc14d
|
