PyQuant
A Quantitative Finance Library written in Python
Created by Abhinav Saini
Licensed under MIT License
PyPi Link:
https://pypi.org/project/python-quant/
Installation:
Virtual Environment Method:
Create a virtual environment anywhere:
python -m venv .venv
Activate it:
source .venv/bin/activate
Install the package:
pip install python_quant
python_quant --help
Start the Web App:
python_quant --web_app
Command Line Usage:
Download the input_data folder from the repo and place it anywhere. We need to pass it to the commandline tool:
python_quant --mode RISK --instrument input_data/eq_option/bsm_eq_option.json --input_data_path input_data/market_data --as_of_date 20251010 --verbose D
System-wide Installation:
Directly install using pip:
pip install python_quant
Sample Output (BSM Pricing):
RISK MODE OUTPUTprice: 12.0
delta: 0.3588137600913187
gamma: 0.006817273571226615
theta: -54.71301088919908
rho: 16.650438655983557
vega: 44.71555242847439
Metadata
Release files for python-quant 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| python_quant-0.1.9.tar.gz | 11.1 kB | Without provenance | Details for python_quant-0.1.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| python_quant-0.1.9-py3-none-any.whl | Python 3 | none | any | Details for python_quant-0.1.9-py3-none-any.whl |
Total release size: 24.3 kB
Release files / python_quant-0.1.9.tar.gz
| Download URL | python_quant-0.1.9.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
uv/0.8.23
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Release files / python_quant-0.1.9-py3-none-any.whl
| Download URL | python_quant-0.1.9-py3-none-any.whl |
|---|---|
| Size | 13.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.23
|
Security for python-quant 0.1.9
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