This model can reliably return the bullish or bearish status of a candle given the opening, closing, high and low, in a format shown. It will have trouble if the order of the numbers change (even if tags are included).

How to use

You can use this model directly with a pipeline

python

>>> from transformers import pipeline
>>> pipe = pipeline("text-classification", model="Isotonic/deberta-v3-base-market", num_labels=2, use_fast=False)
>>> text = "identify candle: open: 21788.19, close: 21900, high: 21965.23, low: 21788.19"
>>> pipe(text)
[{'label': 'Bullish', 'score': 0.9999979734420776}]