README.md

---
library_name: tensorflow
tags:
  - time-series-forecasting
  - stock-forecasting
inference: false        # repo itself isn't running code
pipeline_tag: time-series-forecasting
license: apache-2.0
spaces:
  - Ti-sha/Stock_Forecaster   # deployed Space

---
# Stock Price Forecasting with ARIMA and LSTM

This repository contains a Python script for time-series forecasting of stock prices using both a traditional statistical model (ARIMA) and a deep learning model (LSTM). The models are trained and evaluated on the "Time Series Forecasting with Yahoo Stock Price" dataset, and their performance is compared.

## Files in this Repository

*   `stock_forecasting.py`: The main Python script that performs the following:
    *   Loads and preprocesses the `yahoo_stock.csv` dataset.
    *   Implements, trains, and evaluates an ARIMA model.
    *   Implements, trains, and evaluates an LSTM model.
    *   Generates a plot comparing the actual prices with the forecasts from both models (`stock_forecast.png`).
    *   Prints a performance comparison table and a discussion of the results to the console.
*   `yahoo_stock.csv`: The dataset used for training and testing the models.
*   `requirements.txt`: A list of the Python libraries required to run the script.

## Installation

To run this project, you need to have Python 3 installed. You can install the necessary libraries using pip:

```bash
pip install -r requirements.txt
```

## Usage

To run the forecasting script, execute the following command in your terminal:

```bash
python stock_forecasting.py
```

## Output

After running the script, you will see the following output in your console:

1.  **Training progress** for both the ARIMA and LSTM models.
2.  **A performance comparison table** showing the Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) for both models.
3.  **A discussion and recommendation** on which model generalizes better and why.

Additionally, the script will generate a file named `stock_forecast.png` in the same directory, which contains a plot visualizing the actual stock prices against the ARIMA and LSTM forecasts.

### Example Output

```
Model Performance Comparison
-----------------------------
| Model | RMSE    | MAPE (%) |
| :---- | :------ | :------- |
| ARIMA | 278.60  | 7.44     |
| LSTM  | 371.12  | 10.35    |

Discussion and Recommendation
------------------------------
Based on the RMSE and MAPE metrics, the ARIMA model performed better than the LSTM model in this particular forecasting task...
```
![Stock Price Forecasting - ARIMA vs LSTM]

![image](https://cdn-uploads.huggingface.co/production/uploads/68debefb259bd2cc8f9e6d0d/dobK-4Cu2TBsmq8L3MjcW.png)