metadata
datasets:
- 0xMaka/trading-candles-subset-sc-format
language:
- en
metrics:
- accuracy
- f1
widget:
- text: 'identify candle: 17284.58,17264.41,17284.58,17264.41'
example_title: Bear
- text: >-
identify candle: open: 17343.43, close: 17625.18, high: 17804.68, low:
17322.15
example_title: Bull
license: gpl
Model description
deberta-v3-base-market is a text classification bot for binary classification of a trading candles opening and closing prices.
Uses and limitations
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
>>> 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}]