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78score
r/algotrading
SaaS subscription
Build

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.

En hausse +486%5 canauxTendance des mentions sur 30 jours: latest 2, peak 4, 30-day series
Voir sur Reddit
Découvert 4 juil. 2026

Pourquoi c'est important

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.

  • · Conçu pour Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery..
  • · Monétisation la plus probable : SaaS subscription.

La douleur · Récit

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.

Détail du score

Intensité du problème8/10
Volonté de payer6/10
Facilité de réalisation5/10
Durabilité5/10

Signal du marché

Tendance des mentions sur 30 joursPic : 4
Sparkline: latest 2, peak 4, 30-day series
Canaux couverts
algotradingfront_pageproductivitystartupsChatGPT

Mise sur le marché

Utilisateur cible exact

Independent traders and one-person research shops already using scanners and APIs to trade event-driven U.S. equities.

Nombre d'utilisateurs estimé

~50K active globally

Canal d'acquisition principal

Twitter dev community

Ancre de prix

$79/month

Premier jalon

15 paying subscribers who connect at least one watchlist and return weekly within 30 days

Périmètre MVP · 1–2 semaines

Semaine 1
  • 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
Semaine 2
  • 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
Fonctions MVP: 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

Différenciation

Solutions existantes
YfinanceMassiveDatabentoFMP
Notre angle
There is no clear all-in-one product in the discussion that ingests political or executive statements, maps them to securities, annotates charts, and quantifies whether the event still carries predictive value.

Pourquoi cela pourrait échouer

Auto-contre-argument — le signal de confiance le plus important

  1. 1The observed moves may be too inconsistent across symbols to support paid retention once users test it seriously.
  2. 2Users with the highest willingness to pay may prefer to keep their own pipelines rather than trust a third-party signal layer.
  3. 3Data quality problems in source ingestion and ticker resolution could create too many false alerts for a niche product.

Résumé des preuves

Comment l'IA a synthétisé cet aperçu — pas de citations textuelles

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.

1 1 publication analysée5 5 canauxAI · Synthétisé par IA · pas de citations

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

Political Catalyst Signal Terminal

Sous-titre

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.

Pour Qui

Pour Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery.

Liste des Fonctionnalités

✓ 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

Où Valider

Partagez votre landing page sur r/r/algotrading — c'est exactement là que ces points de douleur ont été découverts.

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Report & PRDBUSINESS

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Questions fréquentes

Qui rencontre ce problème ?
Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery.
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 78/100 selon la métrique composite de Pain Spotter (intensité du problème, propension à payer, faisabilité technique et viabilité). Validez-la davantage avant d'y consacrer du temps de développement.
Comment dois-je la valider ?
Menez 5 entretiens de découverte client avec le public cible, publiez une landing page avec une liste d'attente, et vérifiez l'activité récente sur le post source lié avant de commencer le développement.