SIGPytch
Quantitative models and metrics used in the SIG at UCSD quarterly stock pitches.
Table of Contents
Installation
pip install sigpytch
Requirements
This library requires the following dependencies:
- pandas>=1.4.0
- scikit-learn>=1.1.13
- tensorflow>=2.11.0
Metrics
sigpytch.metrics
rolling_sharpe
Models
sigpytch.forecasters
LSTMForecaster
Contributing
Reach out to Pranay to be added as a contributor to this repository.
1 maintainer
Metadata
1 maintainer
Release files for sigpytch 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sigpytch-1.1.2.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sigpytch-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.5 kB
Release files / sigpytch-1.1.2.tar.gz
| Download URL | sigpytch-1.1.2.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
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Release files / sigpytch-1.1.2-py3-none-any.whl
| Download URL | sigpytch-1.1.2-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
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