Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Elite AI Research and Verification Agent for deep research, evidence gathering, source validation, fact-checking, and structured intelligence synthesis. Use this skill proactively whenever the user wants to research a topic in depth, verify claims or statistics, fact-check a document or argument, investigate a subject thoroughly, gather evidence, validate sources, or produce a credible research report.
Paste two versions. The engine classifies every meaning shift, shows both quotes side by side, and ranks the changes by your document’s own stakes — catching the tiny word that quietly changed what must happen into what merely could.
Most people buy stocks on a vibe. They read a headline, like the product, glance at the P/E, and call it research. Then six months later they're wondering what went wrong. DeepDive is what a hedge fund analyst would do with your ticker. It tries to prove you wrong first, digs through the filings for what companies hope you skip, and hands you a real analysis. It also remembers your past picks, checks old theses against reality, and flags your own repeating mistakes.
漂亮的回測不等於真的有 edge。多數散戶「會賺」的策略其實是過擬合——那個 Sharpe 是掃了一堆參數挑出來最好的、是停損停利湊出來的假象、或只是運氣好的一段區間。 策略 Edge 驗證器用一整套統計檢定,幫你分辨「真訊號」還是「資料探勘出的雜訊」,全部只跑在你自己的報酬序列或權益曲線上: • 平穩 Bootstrap — 這條曲線跟零 edge 的雜訊分得出來嗎? • Deflated Sharpe — 扣掉「掃 N 組挑最佳」的選擇偏差後還站得住嗎? • PBO / CSCV — 回測期最強的參數,樣本外還是最強嗎? • Hansen SPA & Romano-Wolf StepM — 一籃子規則裡的贏家撐得過 data-snooping 嗎? • Bar-permutation MCPT — 利潤是訊號賺的,還是出場路徑湊的? • 樣本外分割 — 多少 edge 撐得過 holdout? 命令列 + JSON 輸出、自帶測試、標註學術出處。不需市場數據源、不需 API 金鑰、不需你的策略邏輯——你的數字全程不離開你的電腦。
更少 Token，更精準的 AI 指令。以語意最佳化移除冗餘、合併重複要求，保留真正意圖、必要限制、輸出格式與重要上下文；提供 Token 估算，並可依要求比較優化前後差異。支援 MAX_COMPRESSION、BALANCED、MAX_PRECISION。
Turn video scripts into structured retention audits — map hook failures, desertion windows, and re-engagement fixes using attention psychology.
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.