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Political Catalyst Signal Terminal
Build a SaaS platform that converts political statements, schedules, holdings disclosures, and news into tradable event signals tied to public equities. The strongest value is not raw data access but ranking which mentions have historically moved specific stocks and how quickly that effect tends to fade.
これが重要な理由
You see public endorsements and policy-related comments move certain stocks, but turning that intuition into something tradable is messy. You end up stitching together feeds, writing parsers, and checking charts manually just to answer basic questions like which names react, how fast they move, and whether the effect is still alive. Generic market data tools give you prices, but they do not tell you when a meaningful mention happened or how to rank it against prior examples. What you really want is a single place where the event is detected, linked to the right stock, and immediately compared with historical reactions so you can act before the move is gone.
- · Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery.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 see public endorsements and policy-related comments move certain stocks, but turning that intuition into something tradable is messy. You end up stitching together feeds, writing parsers, and checking charts manually just to answer basic questions like which names react, how fast they move, and whether the effect is still alive. Generic market data tools give you prices, but they do not tell you when a meaningful mention happened or how to rank it against prior examples. What you really want is a single place where the event is detected, linked to the right stock, and immediately compared with historical reactions so you can act before the move is gone.
スコア内訳
市場シグナル
市場投入
Independent traders and one-person research shops already using scanners and APIs to trade event-driven U.S. equities.
~50K active globally
Twitter dev community
$79/month
15 paying subscribers who connect at least one watchlist and return weekly within 30 days
MVPの範囲 · 1～2週間
- Set up ingestion for one public statement source and one market data API
- Create a basic classifier that detects company or CEO mentions and maps them to tickers
- Store events with timestamp, source type, confidence, and detected sentiment
- Build a simple chart view with event markers on daily and intraday price data
- Define initial performance metrics such as 1-day, 5-day, and 20-day abnormal return
- Add a watchlist dashboard ranking events by historical reaction strength
- Implement email or webhook alerts for new high-confidence mentions
- Add filters by market cap, sector, and prior event count
- Generate a symbol-level report showing average reaction time and decay
- Launch a lightweight billing page and onboarding flow for beta users
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
- 1The observed moves may be too inconsistent across symbols to support paid retention once users test it seriously.
- 2Users with the highest willingness to pay may prefer to keep their own pipelines rather than trust a third-party signal layer.
- 3Data quality problems in source ingestion and ticker resolution could create too many false alerts for a niche product.
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
The discussion repeatedly centered on building an event stream from statements and then validating whether mentions still move stocks. Several participants focused on timing, chart annotations, and symbol-specific response behavior, while others debated whether the effect still exists at all. That combination points to demand for a tool that does both detection and outcome measurement rather than just providing raw feeds.
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
Political Catalyst Signal Terminal
サブ見出し
Build a SaaS platform that converts political statements, schedules, holdings disclosures, and news into tradable event signals tied to public equities. The strongest value is not raw data access but ranking which mentions have historically moved specific stocks and how quickly that effect tends to fade.
ターゲットユーザー
対象：Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery.
機能リスト
✓ Automated ingestion of public statements, schedules, and related news ✓ Ticker mapping with confidence scores and sentiment classification ✓ Chart overlays showing mention time, reaction time, and move amplitude ✓ Watchlists and real-time alerts for newly detected mentions ✓ Backtest dashboard by symbol, sector, market cap, and valuation profile
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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