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78Score
r/options
SaaS subscription
Build

AI-Powered Options Screening & Trade Idea Platform

A SaaS platform that combines proprietary calculated IV rank, liquidity grading, and AI-generated fundamental analysis to help premium sellers identify, evaluate, and monitor trade opportunities. Unlike basic screeners, it explains WHY volatility is elevated and assesses directional risk, addressing the core criticism that naive IV-rank-based selling is dangerous.

Steigend +105%4 Kanäle30-Tage-Erwähnungstrend: latest 23, peak 33, 30-day series
Auf Reddit ansehen
Entdeckt 7. Sept. 2026

Warum das wichtig ist

You're an active options premium seller managing a portfolio of 15-25 positions across multiple tickers. Your broker's dashboard shows IV rank that's just raw data feed output, not properly calculated. You know that naively selling high IV rank is dangerous, but existing screeners don't tell you WHY volatility is elevated or whether there's directional risk. You've tried building your own IV calculations and liquidity grades, which was incredibly painful and time-consuming. You need a tool that combines quality analytics with AI-powered fundamental analysis so you can confidently select tickers, understand the risk, and stop staring at your broker's dashboard guessing.

  • · Entwickelt für Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters.
  • · Wahrscheinlichste Monetarisierung: SaaS subscription.

Der Schmerz · Narrativ

You're an active options premium seller managing a portfolio of 15-25 positions across multiple tickers. Your broker's dashboard shows IV rank that's just raw data feed output, not properly calculated. You know that naively selling high IV rank is dangerous, but existing screeners don't tell you WHY volatility is elevated or whether there's directional risk. You've tried building your own IV calculations and liquidity grades, which was incredibly painful and time-consuming. You need a tool that combines quality analytics with AI-powered fundamental analysis so you can confidently select tickers, understand the risk, and stop staring at your broker's dashboard guessing.

Score-Details

Schmerzintensität8/10
Zahlungsbereitschaft7/10
Umsetzbarkeit5/10
Nachhaltigkeit7/10

Marktsignal

30-Tage-ErwähnungstrendSpitze: 33
Sparkline: latest 23, peak 33, 30-day series
Abgedeckte Kanäle
optionsDaytradingalgotradingValueInvesting

Markteinführung

Genauer Zielnutzer

Individual retail options traders selling premium with $100K-$500K accounts who currently use 2-3 basic screeners and manual research for ticker selection

Geschätzte Nutzeranzahl

~75K-150K active premium sellers globally who could benefit, with ~10K-20K likely early adopters willing to pay

Primärer Akquisekanal

Reddit organic in options trading communities + Twitter fintech community

Preisanker

$79/month for screening + AI analysis tier

Erster Meilenstein

50 paying subscribers within 60 days of launch, validated through organic community posts and word-of-mouth

MVP-Umfang · 1–2 Wochen

Woche 1
  • Set up options data feed integration (ORATS or IVolatility API) and build historical volatility database schema
  • Implement proprietary IV rank calculation engine with 1-year lookback
  • Build basic liquidity grading algorithm using bid-ask spread, open interest, and volume data
  • Create simple web UI with ticker screening filters (IV rank, liquidity grade, underlying price)
  • Deploy MVP to staging and test with 5-10 tickers for data accuracy
Woche 2
  • Integrate LLM API to generate stock briefs explaining why volatility is elevated for screened tickers
  • Add directional risk assessment scoring based on technicals (MA position, support/resistance) and fundamentals
  • Build trade idea card with risk/reward visualization and position sizing suggestions
  • Implement saved screens and daily alert emails for new opportunities matching criteria
  • Onboard 10 beta testers from options trading communities for feedback
MVP-Funktionen: Proprietary calculated IV rank with historical volatility database · AI-generated stock briefs explaining why volatility is elevated with directional risk assessment · Custom liquidity grading system for options contracts · Trade idea generation with risk/reward visualization · Sector rotation and technical analysis integration for entry timing

Differenzierung

Bestehende Lösungen
ThetaPalTastyTrade/TastyWorksBroker dashboardsOptionStrat
Unser Ansatz
No comprehensive platform combines high-quality calculated options analytics (IV rank, liquidity grades), AI-powered fundamental analysis for ticker selection, and semi-automated position management with smart exit execution for premium sellers

Warum dies scheitern könnte

Selbstwiderlegung — das wichtigste Vertrauenssignal

  1. 1Options data feed costs may be too high relative to early subscription revenue, creating a negative unit economics problem until scale is reached — $1000/month data costs need ~15 subscribers at $79/month just to break even on data alone.
  2. 2Experienced traders in this community are skeptical of AI-generated analysis and may view the tool as another naive screener, especially if the AI briefs lack depth or are occasionally wrong about directional risk.
  3. 3The most sophisticated traders who feel this pain most acutely are also the most capable of building their own custom systems, meaning the target audience may self-select toward DIY solutions.

Evidenzzusammenfassung

Wie KI diese Erkenntnis synthetisiert hat — keine wörtlichen Zitate

Multiple commenters (~6) discussed the inadequacy of basic IV rank and liquidity filters for ticker selection, with experienced traders emphasizing that descriptive metrics like IV rank are not predictive and traders need to understand WHY volatility is elevated. The original poster revealed they built custom calculated IV rank, proprietary liquidity grades, and AI-generated stock briefs, describing the liquidity grade development as extremely difficult. Another commenter mentioned already paying for a tool called ThetaPal, confirming willingness to pay. The discussion shows traders with $100K-$500K accounts generating $10K-$22K monthly, indicating both the financial capacity and the stakes that justify paying for better screening tools.

1 1 Beitrag analysiert4 4 KanäleAI · KI-synthetisiert · keine wörtliche Wiedergabe

Aktionsplan

Validiere diese Gelegenheit, bevor du Code schreibst

Empfohlener nächster Schritt

Bauen

Starke Nachfragesignale erkannt. Echter Schmerz und Zahlungsbereitschaft vorhanden — fang an, ein MVP zu bauen.

Landing Page Textpaket

Druckfertige Texte basierend auf echten Reddit-Kommentaren — direkt einfügen

Überschrift

AI-Powered Options Screening & Trade Idea Platform

Unterüberschrift

A SaaS platform that combines proprietary calculated IV rank, liquidity grading, and AI-generated fundamental analysis to help premium sellers identify, evaluate, and monitor trade opportunities. Unlike basic screeners, it explains WHY volatility is elevated and assesses directional risk, addressing the core criticism that naive IV-rank-based selling is dangerous.

Für Wen

Für Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters

Funktionsliste

✓ Proprietary calculated IV rank with historical volatility database ✓ AI-generated stock briefs explaining why volatility is elevated with directional risk assessment ✓ Custom liquidity grading system for options contracts ✓ Trade idea generation with risk/reward visualization ✓ Sector rotation and technical analysis integration for entry timing

Wo Validieren

Teile deine Landing Page in r/r/options — genau dort wurden diese Schmerzpunkte entdeckt.

Registrieren, um die vollständige Tiefenanalyse freizuschalten

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Report & PRDBUSINESS

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Automatisch von KI aus verwandten Diskussionen gruppiert

Häufig gestellte Fragen

Wer spürt diesen Schmerz?
Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters
Ist das eine echte Chance?
Diese Chance erreicht 78/100 bei der zusammengesetzten Metrik von Pain Spotter (Schmerzintensität, Zahlungsbereitschaft, technische Machbarkeit und Nachhaltigkeit). Validieren Sie weiter, bevor Sie Entwicklungszeit investieren.
Wie sollte ich das validieren?
Führen Sie 5 Customer-Discovery-Gespräche mit der Zielgruppe, veröffentlichen Sie eine Landingpage mit Warteliste und prüfen Sie den verlinkten Quellbeitrag auf aktuelle Aktivitäten, bevor Sie mit der Entwicklung beginnen.