Description

One command after the close delivers **a web page that does the calculation itself**: within 1–2 seconds of opening, it concurrently pulls 80 daily K-line data points in your own browser, scores the 6 major A-share indices plus 74 industries and themes on a 0–100 temperature scale, and renders the results as a two-page, 1080px-wide dashboard long image—ready to screenshot for Xiaohongshu or WeChat Official Account. Data goes through no intermediary and doesn't rely on an author-provided data source—your browser connects directly to the market data interface. So every time you open it, you get the latest live market data, not a static image that expires the next day. The temperature isn't “AI intuition”—it's a formula hard-coded in the page source. For the three factors—price deviation from MA60, 20-day returns, and 5-day returns—each one takes its own historical percentile over the past 250 trading days, and then RSI14 weighting is added. It uses percentiles rather than absolute gains/losses because banks may move 20% a year while theme sectors move 200%; only by converting to each one's historical position can they be compared on the same scale. Real example: on the same day, the finance & real estate and green power sectors had nearly identical 5-day and 20-day gains and sat right next to each other in the gain rankings. But their temperatures were 87 (high heat) and 50 (neutral)—because the former had risen above MA60 and hit its hottest level in a year, while the latter was just a small rebound after a deep drop. Seven qualitative levels: Ice Point / Low Temperature / Slightly Cool / Neutral / Warming / High Heat / Boiling Point. Automatic signals: temperature ≤20 and a rise of ≥5 degrees in the past 3 days = rebound watch; temperature ≥80 and a drop of ≥5 degrees in the past 3 days = pullback watch. Thresholds are hard-coded; if none are hit, it reports zero—it doesn't force a match. All 80 are publicly released CSI/CNI standard indices, with the code list hard-coded in the page. The algorithm is in the source code—you can inspect and reproduce it yourself. The same closing data always produces the same number no matter who runs it. It only measures temperature for indices and sectors, not individual stocks. It only presents hot/cold distributions and pattern signals; it does not recommend stocks, predict price movements, or constitute investment advice. Trigger words: market temperature / A-share thermometer / sector temperature / sector heat / market sentiment / sentiment indicator / is the market cold today / freezing point / boiling point / market overview / sector rotation / post-close review / temperature dashboard / market thermometer