研究方法與編輯準則

本頁說明 InsightMeter 如何建立資料集、整理訊號摘要,以及如何發布具教育性質的市場內容。

最近審閱: 2026-10-16

1)範圍與目的

InsightMeter 以教育與研究支援為目的。我們把公開市場資訊整理成可比較的格式,協助使用者理解機構持倉、內部人交易與歷史預測結果。本站內容不構成個人化投資建議。

2)資料輸入

核心資料來自公開與授權的金融資訊渠道,包括:

2b) SEC EDGAR datasets (Form 4 lines, 8-K events, XBRL fundamentals, Form D offerings)

Beyond forecast scorecards and classic 13F-style holdings maps, InsightMeter maintains authenticated research tables sourced from U.S. SEC public disclosure pipelines. These tables are education tools: they organize fields that already exist in primary filings and company-facts extracts. They are not a substitute for reading the accession on EDGAR when a claim becomes specific.

Roadmap language stays careful: coverage for 8-K and XBRL is wider than the early pilot and history is deeper—especially 8-K back toward ~1999—while Form 3/4/5 and Form D now sit on multi-year loaded windows (Form 3/4/5 from ~2018; Form D from ~2020q3 for the current loader). We still do not claim a complete U.S. market or a complete private-placement universe. Soft Free/Pro sample lengths are unchanged. Soft product note: explore the dashboard on Free; Pro (HK$40/mo) is optional when you need longer lists and CSV—never a guarantee of investment returns.

3)處理與驗證

資料在公開呈現前會先正規化:跨來源對齊代號、去除重複申報,並在申報被修正時保留版本紀錄。若資料衝突或未通過驗證,會先標記並暫停納入彙總指標,直到問題處理完成。

4)評分原則

訊號與準確度指標以固定衡量窗口的歷史觀察為基礎。當新揭露、修正或更多歷史資料出現時,分數可能更新。我們避免把任何分數表述為未來績效的保證。

4b) Worked scoring example (fictional, education-first)

The following walkthrough uses fictional names and numbers to show how a forecast score can be computed when horizon and benchmark are explicit—and how the same numbers can mislead when survivorship or cherry-picked windows sneak in. It is an educational template, not a performance claim and not guaranteed alpha.

Setup (write these before you score)

Forecaster “River” publishes a directional call on fictional ticker MAPL. Locked definition: (1) Claim type = open price on event date T vs close on T+20 trading days; (2) Direction = “MAPL will outperform the fictional sector ETF SECT by more than 0% over that window” (excess-return hit, not absolute-up hit); (3) Hit = excess return > 0; miss = excess return ≤ 0; (4) Sample = all River MAPL-vs-SECT calls with the same definition in calendar years 2022–2024, including calls that expired worthless for the narrative. No discretionary dropping of quiet months.

Step-by-step hits and misses (fictional prints)

Call A (T=2024-01-10): MAPL +4.0% over 20 sessions; SECT +1.0%; excess +3.0% → hit. Call B (T=2024-03-05): MAPL −2.0%; SECT −5.0%; excess +3.0% → hit (absolute down, relative win—allowed only because the locked definition used excess return). Call C (T=2024-06-12): MAPL +6.0%; SECT +7.5%; excess −1.5% → miss. Call D (T=2024-09-20): MAPL +1.0%; SECT +1.0%; excess 0.0% → miss under a strict >0 hit rule.

Score for this four-call toy sample: 2 hits / 4 scored = 50% hit rate. Educational point: without the written definition, a marketer could relabel Call B a miss (“stock fell”) or Call C a hit (“stock rose”) and invent a prettier percentage. The methodology win is the lockfile, not the headline rate.

If InsightMeter-style summaries show accuracy metrics, they should remain tied to fixed windows and restated when corrections arrive. Users should be able to ask: what horizon, what benchmark, what hit rule, what sample?

Failure modes to keep visible

Use this example as a checklist when you read any forecast scoreboard—ours or elsewhere. Past hit rates are historical descriptions under a definition. They are not promises of future performance, trading advice, or guaranteed alpha.

5)編輯標準

所有教育性內容應符合以下品質標準:

6)聯絡與更正

若你認為頁面資訊有誤,請透過 關於我們 與我們聯絡,並提供頁面網址與簡要說明。經查證的問題會依編輯排程修正。

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