我的一個小作品：自動化數據分析與智能決策平台

大致的流程如下: 
本人業餘愛好，歡迎批評指正。

自定義股票列表，一鍵下載數據： 隻需簡單定義關注的股票代碼列表，程序即可自動從雲端獲取最新的曆史交易數據。

集成多種技術指標，靈活計算： 程序內置了多種常用的技術指標計算方法，例如移動平均線、MACD、RSI 等。您可以根據自己的策略需求，靈活選擇並計算所需的指標數值，為後續分析奠定基礎。

機器學習驅動，智能策略探索：  程序集成了先進的機器學習技術。 可以嚐試不同的機器學習模型，例如支持向量機、隨機森林、神經網絡等，讓程序自主學習曆史數據中的規律，並評估不同交易策略的表現。

多維度績效評估，清晰展示結果： 程序將輸出詳盡的策略績效報告，包括令人關注的勝率、風險回報比、夏普比率以及索提諾比率等關鍵指標。這些數據將幫助您清晰地了解不同策略的優劣。

前瞻性行動建議，輔助交易決策： 基於曆史數據學習和模型預測，程序將針對即將出現的指標信號，給出智能的交易行動建議，例如買入、賣出或持有。 

截屏是個示範。歡迎噴友來噴。也感謝任何建議。

Here's an English translation and refinement of the provided Chinese text:

Custom Stock Lists, One-Click Data Download: Simply define a watchlist of your desired stock tickers, and the program will automatically fetch the latest historical trading data from the cloud.

Integrated Multiple Technical Indicators, Flexible Calculation: The program incorporates various commonly used technical indicator calculation methods, such as Moving Averages, MACD, and RSI. You can flexibly select and compute the required indicator values according to your strategy needs, laying a solid foundation for subsequent analysis.

Machine Learning Powered, Intelligent Strategy Exploration: The program integrates advanced machine learning techniques. You can experiment with different machine learning models, such as Support Vector Machines, Random Forests, and Neural Networks, allowing the program to autonomously learn patterns from historical data and evaluate the performance of various trading strategies.

Multi-Dimensional Performance Evaluation, Clear Result Display: The program will output comprehensive strategy performance reports, including key metrics like win rate, risk-reward ratio, Sharpe Ratio, and Sortino Ratio. This data will help you clearly understand the strengths and weaknesses of different strategies.

Forward-Looking Actionable Advice, Assisting Trading Decisions: Based on historical data learning and model predictions, the program will provide intelligent trading action suggestions for upcoming indicator signals, such as buy, sell, or hold.

The screenshot is just a demonstration. Feel free to critique and share any suggestions – all feedback is welcome!

Refinement Notes:

• Clarity and Flow: The English version aims for clearer and more natural phrasing.
• Word Choice: Some words were chosen for better technical accuracy and impact (e.g., "watchlist," "fetch," "incorporates," "autonomously," "comprehensive," "actionable").
• Emphasis: The use of bolding helps to highlight the key features of the program.
• Tone: The slightly informal closing ("Feel free to critique and share any suggestions – all feedback is welcome!") maintains the original's friendly and open tone.
• Conciseness: While aiming for clarity, some minor redundancies were removed.

This refined English version should be more accessible and impactful for an English-speaking audience interested in the described stock analysis tool.