DSA

When it comes to stock research, the biggest time drain is rarely making sense of the results, but piecing together scattered bits of information. I built a project called Daily Stock Analysis (DSA), with a very straightforward goal: to integrate the most fragmented, scattered, and time-consuming parts of stock analysis into a ready-to-use workstation as much as possible. It supports A-shares, Hong Kong stocks, and US stocks, aggregating market data, technical indicators, news, corporate announcements, fundamental data and other relevant information, then generating structured analysis reports powered by AI. What you get is not just a prediction of whether a stock will rise or fall, but a more complete decision-making framework, including:

• Core conclusions
• Trend analysis
• Risk alerts
• Buy/sell price levels
• Catalysts
• Action checklist
• Historical analysis records What I aim to solve is not doing the trading for you, but making stock research far less fragmented, repetitive, and inefficient. This project is still under continuous iteration, and already offers the following features:
• Web and desktop versions
• Stock analysis and historical reports
• Market review
• Strategy Q&A
• Subscription and account system
• Light and dark themes
• Mobile adaptation If you often jump between multiple pages, websites, and tools just to figure out whether a stock is worth researching, you’ll probably love this approach that brings the entire workflow into one place. Project name: DSA - Daily Stock Analysis Positioning: AI analysis workstation for stock research One-liner: Make stock research more comprehensive, faster, and easier to get started with