tags:
- finance
- stock
license: cc-by-4.0
datasets:
- SelmaNajih001/EventStockPriceVariation
language:
- en
base_model:
- allenai/longformer-base-4096
pipeline_tag: text-classification
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
