quantnet
A PyTorch implementation of QuantNet: Transferring Learning Across Systematic Trading Strategies.
Installation
pip install quantnet
1 maintainer
Metadata
1 maintainer
Release files for quantnet 0.1.0
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 | |
|---|---|---|---|---|
| quantnet-0.1.0.tar.gz | 8.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quantnet-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.9 kB
Release files / quantnet-0.1.0.tar.gz
| Download URL | quantnet-0.1.0.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / quantnet-0.1.0-py3-none-any.whl
| Download URL | quantnet-0.1.0-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8cce9265189747fd3a24a9ef1415a84b1f2c6ef396fc8713c53025b653865347
|
|
BLAKE2b-256 checksum How to use checksums |
74a07b11eb1a2cceec9a04da4768a91353187c942bc11e13fea23098040b375a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Security for quantnet 0.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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