抄底的机会？还只是下跌的开始？ “请停止出售，我需要养活的我家人！”

我今天强烈推荐这个【AI股票大师】，它不是什么玄学神器，而是真正能帮你客观量化判断的工具：

RTSI 个股趋势强度指数 —— 多维度量化个股真实趋势强度 TMA 技术动量分析 —— 行业板块动量轮动核心算法（看板块强弱最直观） MSCI 市场情绪综合指数 —— 融合资金流、波动率、情绪等多因子，判断大盘整体温度支持A股 + 港股 + 美股，本地运行 + 大模型智能解读，一键生成专业分析报告。

它能帮你把“感觉抄底”变成“数据说话”，把恐慌决策变成理性参考。

仓库地址（免费开源）： https://github.com/hengruiyun/AI-Stock-Master…现在正是需要冷静工具的时候。

理性分析，保护好自己和家人的钱袋子。

hengruiyun/AI-Stock-Master

Source: https://github.com/hengruiyun/AI-Stock-Master

AI Stock Master 中文

This is an AI-based stock trend analysis platform that leverages large language models to interpret Chinese, Hong Kong, and US stock markets. It integrates multiple core algorithms: RTSI Individual Stock Trend Strength Index, MSCI Market Sentiment Index, and Core Strength Analyzer, providing comprehensive investment decision support for investors.

Demo(演示): TTfox.com

For OpenClaw: Master OpenClaw

Core Features

• Multi-dimensional Data: Integration of multi-dimensional data points to capture key market information
• Multi-layered Analysis: Three-tier analysis system covering individual stocks, industries, and markets
• Multiple Algorithms: AI-enhanced RTSI/MSCI/Core Strength Analysis algorithms
• Strength Identification: Core strength analyzer based on TMA technical momentum analysis
• AI Interpretation: Integrated large language models for intelligent interpretation and recommendation generation

AI and Large Language Model Technology Architecture

Artificial Intelligence Theoretical Foundation

This system is built on AI theory, integrating AI interpretation, deep learning, and large language model technologies. The system adopts a multi-layered analysis architecture:

• Integration of large language models for natural language understanding and generation
• Implementation of multi-agent collaborative decision-making mechanisms
• Use of AI to optimize investment strategies

LLM-Driven Analysis Engine

Built-in Mini Ollama Integration

Our system now includes seamless integration with Mini Ollama - a lightweight, high-performance local LLM runtime:

Core Features:

• Zero-configuration Setup: Automatic detection and configuration of Mini Ollama
• Local Processing: Complete privacy protection with no data transmission
• Performance Optimization: Specifically tuned for financial analysis tasks
• Multi-model Support: Compatible with various open-source LLM models
• Resource Efficient: Minimal memory footprint for desktop deployment

Special Thanks

• Ollama Team: Providing excellent local AI solutions
• uv: Thanks to Charlie Marsh and the Astral team for developing the ultra-fast Python package manager uv, providing excellent performance for project dependency management

Risk Warnings and Disclaimers

Important Reminders

• This system is for programming learning purposes only and cannot be used for real investments
• Historical data does not represent future performance
• AI models have prediction errors, please combine with your own judgment
• Please make investment decisions based on your own risk tolerance

Technical Risks

• Models may have overfitting risks
• Algorithms may fail under extreme market conditions
• Data quality affects analysis result accuracy

Contact Information and Technical Support

Project Team

• Project Creator: [email protected]
• Technical Architecture: Artificial Intelligence and Human Collaborative Development

Technical Support

• Email Consultation: [email protected]

Academic Research and References

Core Algorithm Research

• Relative Strength Index - Quantitative Encyclopedia
• Correctly Judging Overbought and Oversold, New Exploration of Key Points for Bottom Fishing and Top Escape - China Financial Technical Analyst Association
• Effectiveness of the Relative Strength Index Signals in Timing the Cryptocurrency Market
• Finding Consistent Trends with Strong Momentum - RSI for Trend-Following

Technical Analysis Fundamentals

• Relative Strength Index (RSI) Explained - Investopedia
• StockCharts RSI Tutorial

Version Update Log

v2.0 Major Updates

• AI Technology Upgrade: Integrated large language models, enhanced intelligent analysis capabilities
• Intelligent Interpretation: Automatically generates professional market analysis reports with reliability scores
• Algorithm Optimization: Improved three core algorithms, increased prediction accuracy
• User Experience: Added natural language query and conversational analysis
• Risk Management: Enhanced risk assessment models, providing more precise risk control

v1.0 Basic Features

• Implementation of three core algorithms
• Basic graphical interface
• JSON data import and export
• Basic technical analysis functions

辣条味奶糖./ (@spicycandy00): 美股新手实用工具推荐：

很多新手在美股投资时最常遇到的困惑是：

信息太多却难以判断哪些值得关注，尤其是涉及政策变化和市场情绪的部分。其实美国有完善的公开披露制度，总统、内阁成员、国会议员的股票交易，以及知名投资人的公开推荐，都需要或会以某种形式对外公开。