Algorithmic trading research utilities for quant teams
Project description
hqg-algorithms
Run locally
In project root:
python3 -m pip install --upgrade pip setuptools wheel
pip install -e .
Test in python shell:
from hqg_algorithms import Strategy
s = Strategy("demo")
print(s.name)
Publish to PyPI
1. Get API key for HQG account
2. Build the package (in project root):
pip install build
python3 -m build
This creates:
dist/
├── hqg_algorithms-0.1.0.tar.gz
└── hqg_algorithms-0.1.0-py3-none-any.whl
3. Upload to PyPI with twine:
pip install twine
twine upload dist/*
When prompted, use:
username: __token__
password: pypi-<your-token>
4. Verify:
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hqg_algorithms-0.0.0.tar.gz
(1.6 kB
view details)
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 hqg_algorithms-0.0.0.tar.gz.
File metadata
- Download URL: hqg_algorithms-0.0.0.tar.gz
- Upload date:
- Size: 1.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
102be567d0b8eba47357052e3fd9edaf833c3c6a2f61c1d93b62f03b55498035
|
|
| MD5 |
1d28b26122cc48a5fa2b3c113d461076
|
|
| BLAKE2b-256 |
30df127b07b662b8c29df89d567de696b69498e8a5e97d7b2228accb0013ac43
|
File details
Details for the file hqg_algorithms-0.0.0-py3-none-any.whl.
File metadata
- Download URL: hqg_algorithms-0.0.0-py3-none-any.whl
- Upload date:
- Size: 2.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce3f52e62e9fbc9ac6527f890157152177ee0d9b1eeccb06bef0413f2d02055d
|
|
| MD5 |
4f3b7e96d7e37e4f52871098c7042a20
|
|
| BLAKE2b-256 |
e32c38e81abef9fb4e8b0269856abf95c379c74fc1edbec99def7e55c89fb0ec
|