我的一个小作品：自动化数据分析与智能决策平台

大致的流程如下: 
本人业余爱好，欢迎批评指正。

自定义股票列表，一键下载数据： 只需简单定义关注的股票代码列表，程序即可自动从云端获取最新的历史交易数据。

集成多种技术指标，灵活计算： 程序内置了多种常用的技术指标计算方法，例如移动平均线、MACD、RSI 等。您可以根据自己的策略需求，灵活选择并计算所需的指标数值，为后续分析奠定基础。

机器学习驱动，智能策略探索：  程序集成了先进的机器学习技术。 可以尝试不同的机器学习模型，例如支持向量机、随机森林、神经网络等，让程序自主学习历史数据中的规律，并评估不同交易策略的表现。

多维度绩效评估，清晰展示结果： 程序将输出详尽的策略绩效报告，包括令人关注的胜率、风险回报比、夏普比率以及索提诺比率等关键指标。这些数据将帮助您清晰地了解不同策略的优劣。

前瞻性行动建议，辅助交易决策： 基于历史数据学习和模型预测，程序将针对即将出现的指标信号，给出智能的交易行动建议，例如买入、卖出或持有。 

截屏是个示范。欢迎喷友来喷。也感谢任何建议。

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.