AI-Driven Automated Stock Market Analysis in Practice: Building a Free Private Investment Research System from Scratch to Achieve Multi-Dimensional Data Monitoring and Intelligent Research Report Generation

By combining Large Language Models (LLMs) with automated workflows, even ordinary investors can build a system. Institutional-grade AI-powered intelligent investment research systemIt can transform tedious data filtering and research report reading into precise decision-making instructions, enabling 24/7 market monitoring and risk warning.

Core Value: From "Visual Screening" to "AI Filtering"

The traditional pain point of investing lies in information overload: busy workdays prevent investors from monitoring the market, and the sheer volume of research reports at night makes it difficult to efficiently extract key information, often resulting in investors only realizing the positive news after it has already been priced in. The core logic of this system is to... Inefficient, repetitive labor is handed over to machines.By leveraging the semantic understanding capabilities of large models such as Google Gemini or DeepSeek, cold, hard K-lines and news can be transformed into actionable investment logic.

This system primarily addresses three core pain points:

• Leap in efficiency: Automatically scans your watchlist, eliminating the need to manually browse individual stock details.
• Risk prevention: We monitor negative public opinion across the entire network in real time and issue early warnings as soon as a potential crisis signal appears.
• Overcoming Human Nature: Based on objective technical indicators, the system effectively suppresses the psychological impulse to chase highs and sell lows.

Function Breakdown: Your Cloud-Based "Investment Secretary"

1. Structured daily decision-making reports

The system no longer pushes fragmented news; instead, it uses AI to process the information and directly pushes the conclusions to WeChat Work or Lark. Each report includes conclusions, risk signals, public opinion analysis, and specific operational suggestions.

2. Extremely low-cost deployment solution

This system achieves true "zero-cost" operation, eliminating the need to purchase expensive specialized software or maintain local servers.

• Operating environment: based on GitHub Actions Cloud-based automation eliminates the need for a constantly running computer.
• Intelligent Brain: The free API credits for Google Gemini or DeepSeek are sufficient for personal use.
• Data path: It aggregates multiple free financial interfaces to ensure the real-time nature and accuracy of data.

Usage Recommendation: Synergy of Tools and Strategies

AI is a powerful tool, but the final decision-making power rests with the investors. The following principles are recommended for practical application:

First, respect the data and discard your intuition. The advantage of AI lies in its lack of emotion. When the system indicates a "market indicator breakdown," objective data should be trusted over subjective wishes, and quantitative risk control should be used to minimize losses.

Second, it is used as a "primary screening funnel". Instead of letting AI directly decide buy and sell decisions, use it to quickly screen 3-5 stocks with the best chart patterns from thousands of stocks, and then have humans conduct in-depth fundamental research to achieve efficient investment.