serenity-radarlisted

# Serenity Radar A data-driven companion to `serenity-method`. Where `serenity-method` teaches **how she analyzes**, this skill uses her **actual 11-month archive** (2025-07-02 → present, ~6,120 posts / 750 tickers) to estimate **where her attention is going** and to **generate candidates the way she would**. > **What this is NOT.** Not a predictor, not a buy/sell signal, not "she will pump X next." It is a *candidate generator + checklist*. A single account is fragile; virality ≠ correctness; her archive has survivorship bias (winners get re-cited, losers fade). Read the **Caveats** section before using output. Always end with: 仅作信息跟踪，不构成投资建议。 ## Prerequisites - The mention archive must exist (the `follow-aleabito` skill produces it). Default path: `$FOLLOW_ALEABITO_REPORTS_DIR/aleabito-mentions-events.csv` (else the workspace `reports/`). - Keep it current with `follow-aleabito`'s incremental fetch (`analyze-mentions.js --incremental --resume`) before running radar, so signals reflect the latest days. - For the analytical gate, use the local `serenity-method` skill. ## Mode 1 — RADAR (data-driven, run this first) Run the signal extractor: ```bash FOLLOW_ALEABITO_REPORTS_DIR="<reports dir>" node skills/serenity-radar/scripts/radar.js --window 14 --top 20 # add --json for machine-readable output; --asof YYYY-MM-DD to evaluate a past date; --window 7 for a tighter read ``` It prints four signal blocks (see `references/signals.md` for the exact math): - **🔥 Heating** — tic