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Forward Guidance Extraction API
Build an API that detects and structures management guidance from 8-K exhibits, especially earnings press releases, into normalized JSON for traders and research systems. The product wins by combining reliable exhibit parsing, precision filters, and bulk coverage rather than acting like a generic filing downloader.
これが重要な理由
You trade around earnings or maintain a research pipeline, and every quarter you face the same problem: the filing arrives fast, but the useful guidance is buried in an attachment with inconsistent formatting. Generic text APIs give you the whole document and leave interpretation to you. Simple keyword rules pick up historical earnings lines and miss the actual outlook. If you want to run this across hundreds of names, manual review does not scale. What you really need is a service that tells you what guidance was issued, in what format, and how confident the extraction is, while still letting you inspect the source when the model is wrong.
- · Independent quants, small hedge funds, financial data engineers, and systematic traders who need machine-readable guidance signals from public filings.向けに構築。
- · 最も可能性の高い収益化モデル: SaaS subscription。
痛み · ナラティブ
You trade around earnings or maintain a research pipeline, and every quarter you face the same problem: the filing arrives fast, but the useful guidance is buried in an attachment with inconsistent formatting. Generic text APIs give you the whole document and leave interpretation to you. Simple keyword rules pick up historical earnings lines and miss the actual outlook. If you want to run this across hundreds of names, manual review does not scale. What you really need is a service that tells you what guidance was issued, in what format, and how confident the extraction is, while still letting you inspect the source when the model is wrong.
スコア内訳
市場シグナル
市場投入
Solo quant developers and sub-20-person investment research teams already consuming SEC data programmatically.
~10K-30K active global users in the initial niche
cold outbound
$149/month
10 paying users processing live earnings filings within 30 days
MVPの範囲 · 1～2週間
- Build a crawler to fetch recent 8-K filings and linked Exhibit 99.1 documents for a fixed S&P 500 subset
- Create a parser that converts HTML, text, and common exhibit variants into normalized plain text
- Define a JSON schema for guidance outputs including company, metric, period, value range, and confidence
- Implement rule-based sentence and section detection focused on outlook-related headings
- Store raw exhibits and parsed outputs by accession number for audit and debugging
- Add precision filters to separate historical performance statements from future guidance
- Expose a REST endpoint for single ticker, multi-ticker, and historical date-range queries
- Create a simple dashboard showing extracted guidance alongside source evidence spans
- Run evaluation on 100 recent filings and manually label false positives and misses
- Set up billing, API keys, and usage metering for a closed beta
差別化
失敗する可能性がある理由
自己反論 — 最も重要な信頼のシグナル
- 1Extraction quality may not beat internal scripts enough to justify ongoing subscription spend for sophisticated users.
- 2The niche may be too narrow if only a small subset of traders values forward-guidance parsing enough to pay premium prices.
- 3Larger financial data vendors could add a similar feature once the demand pattern becomes obvious.
エビデンスの概要
AIがこのインサイトをどのように統合したか — 逐語的な引用はありません
Several remarks point to the same unmet need: people do not just want filing retrieval, they want the actual guidance extracted accurately and at scale. Roughly four comments highlighted issues with false positives, missing guidance, or the need for better precision. Multiple participants also stressed bulk processing and structured outputs for downstream automation, and one directly suggested it could be sold as a subscription.
アクションプラン
コードを書く前に、この機会を検証しましょう
推奨する次のステップ
開発する
強い需要シグナルを検出。本物の課題と支払い意欲を確認 — MVPの開発を始めましょう。
ランディングページ文案キット
実際のRedditコメントから抽出したコピー、そのまま貼り付けられます
見出し
Forward Guidance Extraction API
サブ見出し
Build an API that detects and structures management guidance from 8-K exhibits, especially earnings press releases, into normalized JSON for traders and research systems. The product wins by combining reliable exhibit parsing, precision filters, and bulk coverage rather than acting like a generic filing downloader.
ターゲットユーザー
対象：Independent quants, small hedge funds, financial data engineers, and systematic traders who need machine-readable guidance signals from public filings.
機能リスト
✓ Bulk extraction of guidance text from 8-K exhibits ✓ Structured JSON fields for metric, period, range, and confidence ✓ Historical backfill plus real-time daily ingestion ✓ Evidence trace and raw text retention for debugging ✓ Ticker and accession-number level API endpoints
どこで検証するか
r/r/algotrading にランディングページのリンクを投稿しましょう — そこがこの課題が発見された場所です。
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