README.md

---
title: Stock Underdogs Chronos
emoji: 📊
colorFrom: pink
colorTo: green
sdk: gradio
sdk_version: 5.13.0
app_file: app.py
pinned: false
short_description: 股市潛力股預測,  使用Chronos-bolt
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference


# 股市潛力股預測系統 - 使用 Chronos-Bolt

## 簡介
本專案旨在提供一個基於 Chronos-Bolt 模型的股市潛力股預測系統。該系統透過 Gradio 圖形介面，讓使用者可以選擇股市指數及時間範圍，預測未來股價的潛力，並推薦前 10 名潛力股。

## 功能特色
- **支援多種指數**：包含台灣 50、中型 100、S&P 精簡 50、NASDAQ 精簡 50、賽城半導體 SOX、道瓊 DJI 等。
- **客製化時間範圍**：提供 3 個月、6 個月、9 個月及 1 年的選項。
- **直覺化介面**：透過 Gradio 界面，顯示潛力股清單及相關數據（如現價、預測最高價等）。
- **高準確率預測**：整合 Chronos-Bolt 模型進行時序數據預測。

## 使用技術
- **Python 套件**：Pandas、Requests、Yahoo Finance、AutoGluon TimeSeries 模組、Gradio。
- **時序數據預測模型**：Chronos-Bolt。

## 如何運行
### 環境設定
1. 安裝 Python 3.8 以上版本。
2. 安裝必要套件：
   ```bash
   pip install pandas requests yfinance autogluon gradio
   ```

### 啟動應用程式
1. 下載專案代碼。
2. 執行以下指令以啟動 Gradio 介面：
   ```bash
   python app.py
   ```
3. 使用瀏覽器打開提供的本地端網址，即可開始使用。

---

# Stock Market Potential Stock Prediction System - Powered by Chronos-Bolt

## Overview
This project provides a stock market potential stock prediction system powered by the Chronos-Bolt model. Using a Gradio interface, users can select stock indices and time ranges to predict future stock price potential and recommend the top 10 potential stocks.

## Key Features
- **Multiple Index Support**: Includes Taiwan 50, Mid-Cap 100, S&P Simplified 50, NASDAQ Simplified 50, SOX, and DJI indices.
- **Customizable Time Range**: Options for 3 months, 6 months, 9 months, and 1 year.
- **Intuitive Interface**: Gradio-based interface displays potential stocks and relevant data (e.g., current price, highest predicted price).
- **Accurate Predictions**: Integrates the Chronos-Bolt model for time-series data forecasting.

## Technology Stack
- **Python Libraries**: Pandas, Requests, Yahoo Finance, AutoGluon TimeSeries, Gradio.
- **Time-Series Forecasting Model**: Chronos-Bolt.

## How to Run
### Environment Setup
1. Install Python 3.8 or above.
2. Install required packages:
   ```bash
   pip install pandas requests yfinance autogluon gradio
   ```

### Launch Application
1. Download the project code.
2. Start the Gradio interface by running:
   ```bash
   python app.py
   ```
3. Open the provided local URL in your browser to use the system.