SignalSniper
AI research copilot for China's A-share market.
Turning market information into a research process
SignalSniper is an AI analysis tool for China’s A-share market. It organizes research around prices, market themes, candidate stocks and holdings.
Research and falsification
The project structures its reasoning around market feedback, participant behavior and the main tensions in the market. It keeps the basis for each judgment along with the conditions that would prove it wrong. Every conclusion has to answer two questions: what does it depend on, and what change would make it fail?
What was built
- Market data and analysis pipelines in Python and FastAPI.
- Structured research output generated with a large language model.
- A front end for analysis and holdings, to support later review.
This case study covers the tool’s design and engineering. Whether the model’s analysis holds up still needs ongoing checking.