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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.
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.
This is not financial advise. NLP project is entirely on its preliminary stages. Use it at your own risk.
FAQs
A package for predicting buy and sell signals
We found that nlp-project demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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