hanai-investment-dsh

Price gives quotes; value comes from research. Hanai Worth · 值见 solves a simple but stubborn problem: your trading app tells you what a stock costs, not what it's worth. For most individual A-share investors, the real obstacle isn't a lack of information—it's that information is scattered across apps, websites, PDFs, and half-remembered methodologies. This workbench pulls it all into one chain: scan the market structure, build a watchlist with fair-value estimates, read K-lines alongside value curves, then commission an Agent to run a master-method judgement or just talk openly with an expert persona. From "discovering a company" to "forming and continuously validating your own view," everything happens locally.

What sets it apart is traceability at every step. Chart turning points are computed deterministically from pre-adjusted OHLCV—no LLM, no news, no future data—and the same input always yields the same marker. A full-market backtest froze rules before measuring them: of 16 candidate patterns, zero passed the strict go-live gate, so the product deliberately adds no "verified high-win-rate buy signals." Research reports keep immutable versions, tool traces, and failure reasons; expert chats persist as reusable DSH Sessions. Every judgement can be walked back to its evidence, method, and context.

This workbench suits three kinds of people: value investors who want to build their own valuation framework, A-share researchers tired of fragmented tools who need one coherent interface, and rational users who want AI as an analyst rather than a prophet. It won't give you target prices or return promises—but it will give you a complete, auditable path to form your own view. That's the point of the name.