Model Card for PricePredictionForTesla

This model was created by fine-tuning a base transformer model on a dataset containing summaries of Tesla stock news along with corresponding price variations. It is tailored specifically for predicting Tesla stock price movements after news events, providing more precise predictions than a general market model.

Model Details

Model Description

• Developed by: Salma Najih
• Model type: Text-Classification
• Language(s) (NLP): EN
• License: CC-BY-4.0
• Finetuned from model: allenai/longformer-base-4096

Uses

The model can be used directly to estimate price movement signals from Tesla news headlines or summaries.

Direct Use

Users can input news about Tesla, and the model will return a predicted price movement. It provides more accurate predictions for Tesla than the general news model.

Downstream Use

The model can be integrated into trading analysis pipelines, financial dashboards, or event-driven investment strategies, specifically for Tesla stock.

How to Get Started with the Model

from transformers import pipeline

pipe = pipeline("text-classification", model="SelmaNajih001/PricePredictionForTesla")
pipe("Tesla announces new electric vehicle")

Here an example of output