https://github.com/samadpls/stockseer-api

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.
https://github.com/samadpls/stockseer-api

extratreesregressor fastapi kneighborsclassifier linear-regression lstm machine-learning-algorithms open-source random-forest stock-price-prediction

Last synced: 5 days ago
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Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

• Host: GitHub
• URL: https://github.com/samadpls/stockseer-api
• Owner: samadpls
• License: mit
• Created: 2024-05-14T18:45:10.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-02T14:33:27.000Z (9 months ago)
• Last Synced: 2025-04-02T20:45:09.336Z (3 months ago)
• Topics: extratreesregressor, fastapi, kneighborsclassifier, linear-regression, lstm, machine-learning-algorithms, open-source, random-forest, stock-price-prediction
• Language: Python
• Homepage:
• Size: 237 KB
• Stars: 11
• Watchers: 1
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        

## StockSeer-API  `(Stock Price Prediction API)`



![Supported python versions](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11-blue)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) 

[![License](https://img.shields.io/badge/License-MIT%202.0-blue.svg)](LICENSE)

This project is a FastAPI application that predicts the closing stock price for a given company based on user-specified parameters. It utilizes various machine learning models for prediction, including:

* RandomForestRegressor 🌳

* ExtraTreesRegressor 🌲

* LinearRegression ➖

* KNeighborsRegressor 🤝

* LSTM implementation 🔄

## Data Source:

This application utilizes the Yahoo Finance API to retrieve historical stock data for training and prediction purposes.

## Features✨

* Download and preprocess historical stock data

* Train a stock price prediction model of your choice

* Make predictions on future closing stock prices

## Working Prototype 

**Example: Predicting oogle

 Stock Price**

| Input | Response|  raph |

|------|---------|---------|

|![image](https://github.com/samadpls/stockseer-api/assets/94792103/b6860128-41fb-463d-908d-433b11f3d826)|![image](https://github.com/samadpls/stockseer-api/assets/94792103/5ef2c728-22e3-4e9c-9049-b8b8ceddc276)| |

## Installation

1. Ensure you have Python installed.

2. Create a new virtual environment (recommended).

3. Activate the virtual environment.

4. Install required dependencies:

```bash

pip install -r requirements.txt

```

## Usage

1. Run the application:

```bash

uvicorn app:app --reload

```

2. Access the API documentation in your web browser: http://127.0.0.1:8000/docs

The documentation provides instructions on interacting with the API to make predictions.

## Credits

* **Maira Usman:**  Developed the GUI for this project. You can find the code here: Link to [StockSeer-Frontend](https://github.com/Myrausman/StockSeer-Frontend).

## Disclaimer

**Important:** Stock price prediction is inherently uncertain. This application should not be used for making financial decisions.