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說明文件
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README.md
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@@ -11,3 +11,69 @@ short_description: 股市潛力股預測, 使用Chronos-bolt
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# 股市潛力股預測系統 - 使用 Chronos-Bolt
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## 簡介
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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。
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## 功能特色
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- **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。
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- **客製化時間範圍**:提供 3 個月、6 個月、9 個月及 1 年的選項。
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- **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)。
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- **高準確率預測**:整合 Chronos-Bolt 模型進行時序數據預測。
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## 使用技術
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- **Python 套件**:Pandas、Requests、Yahoo Finance、AutoGluon TimeSeries 模組、Gradio。
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- **時序數據預測模型**:Chronos-Bolt。
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## 如何運行
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### 環境設定
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1. 安裝 Python 3.8 以上版本。
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2. 安裝必要套件:
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```bash
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pip install pandas requests yfinance autogluon gradio
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```
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### 啟動應用程式
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1. 下載專案代碼。
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2. 執行以下指令以啟動 Gradio 介面:
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```bash
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python app.py
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```
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3. 使用瀏覽器打開提供的本地端網址,即可開始使用。
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---
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# Stock Market Potential Stock Prediction System - Powered by Chronos-Bolt
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## Overview
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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.
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## Key Features
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- **Multiple Index Support**: Includes Taiwan 50, Mid-Cap 100, S&P Simplified 50, NASDAQ Simplified 50, SOX, and DJI indices.
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- **Customizable Time Range**: Options for 3 months, 6 months, 9 months, and 1 year.
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- **Intuitive Interface**: Gradio-based interface displays potential stocks and relevant data (e.g., current price, highest predicted price).
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- **Accurate Predictions**: Integrates the Chronos-Bolt model for time-series data forecasting.
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## Technology Stack
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- **Python Libraries**: Pandas, Requests, Yahoo Finance, AutoGluon TimeSeries, Gradio.
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- **Time-Series Forecasting Model**: Chronos-Bolt.
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## How to Run
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### Environment Setup
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1. Install Python 3.8 or above.
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2. Install required packages:
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```bash
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pip install pandas requests yfinance autogluon gradio
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```
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### Launch Application
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1. Download the project code.
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2. Start the Gradio interface by running:
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```bash
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python app.py
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```
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3. Open the provided local URL in your browser to use the system.
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