yuangege1234/aimashi-a-stock-uptrend-screener

Aimashi is a desktop tool for screening Chinese A-share stocks on the main board that may be entering an uptrend. The tool is aimed at retail investors and traders who follow Chinese financial markets and want a way to narrow down candidates using a combination of current news and technical chart data. The workflow has three stages. First, the tool fetches articles from a range of Chinese and international financial news sources, including central bank announcements, energy coverage, commodity news, and macro market feeds. Second, it passes those articles to an AI language model that identifies the major themes in the news, flags where market expectations might be mispriced, and maps each theme to the relevant sectors on the A-share main board. Third, for the stocks in those sectors, the tool calculates a set of technical indicators including MACD, RSI, KDJ, Bollinger Bands, moving averages, ATR, volume-price relationships, support and resistance levels, and a risk-reward score to produce a watchlist of two to five candidates per sector. After the analysis finishes, users can ask follow-up questions about any of the flagged stocks through a chat panel embedded in the app, covering the reasoning behind the pick, potential risks, and price levels to watch. If the AI model times out or returns an error, the tool falls back to local rules to continue generating candidates without stopping the run. The tool requires an API key for any OpenAI-compatible endpoint, entered through a settings screen. It is available as a prebuilt Windows EXE for users who do not want to run Python. Source code is also provided for those who want to modify news sources, prompts, or technical scoring rules. The README includes a disclaimer that the output is research assistance only and does not constitute investment advice. The project is licensed under MIT.