CryptoTrendPredictor

Overview

CryptoTrendPredictor is a BERT-based model fine-tuned to predict short-term Bitcoin price movement direction (up or down) within the next 24 hours based on crypto-related news headlines and social media text. It outputs a binary prediction: up or down.

This model is intended for research and educational purposes only. It is not financial advice.

Model Architecture

• Base model: BERT-base-uncased
• Task head: Binary classification head
• Hidden size: 768
• Number of layers: 12
• Parameters: ~110M

Built using BertForSequenceClassification from the Transformers library.

Usage

from transformers import pipeline

predictor = pipeline(
    "text-classification",
    model="your-username/CryptoTrendPredictor"
)

text = "Bitcoin ETF approved by SEC, major institutions entering market"
result = predictor(text)
print(result)
# [{'label': 'up', 'score': 0.92}]