NLP project
This is an attempt to build a language model for generating trading signals. It uses a limited vocabulary such as 'go-long', 'go-short' and 'do-nothing'. It uses the language model combined with an expert trader data also referred to as imitation learning. The assumption here is that you have data of an expert trader with at least 5 trades e.g. labeled ['go-long', 'go-short', 'do-nothing', 'go-short', 'go-long'] the model returns one of these inputs as the signal.
Usage
Install the project with:
pip install nlp-project
Then:
from nlp.imit_main import imit_signal as imit
from nlp.nlp_main import nlp_signal as nlp
The training (expert) data were simulated with imit_signal and the language model was build with a series of these inputs.
Warning
This is not financial advise. NLP project is entirely on its preliminary stages. Use it at your own risk.
1 maintainer
Metadata
1 maintainer
Release files for nlp-project 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nlp_project-0.1.2.tar.gz | 22.8 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nlp_project-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.2 MB
Release files / nlp_project-0.1.2.tar.gz
| Download URL | nlp_project-0.1.2.tar.gz |
|---|---|
| Size | 22.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3c88e2900cd2b32bde9def11d7f854067ef4b6b5f0e767dd0a7bab6f8c8aba0f
|
|
BLAKE2b-256 checksum How to use checksums |
cfb7dc305ca2e3ab16936c971458e65a0aa064edde83518c53fc39384c3aca7e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.4
|
Release files / nlp_project-0.1.2-py3-none-any.whl
| Download URL | nlp_project-0.1.2-py3-none-any.whl |
|---|---|
| Size | 23.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e7e77f264b0b8cf6f1346d38e5edbd72559bb1b1246fe9a3daef31df0af7ac74
|
|
BLAKE2b-256 checksum How to use checksums |
c9942f2ce3c134f2266ffd2ba1e7da131df7a1f03741b151fb47e94c6d40e0a7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.4
|
Security for nlp-project 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
