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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.

En hausse +105%4 canauxTendance des mentions sur 30 jours: latest 23, peak 33, 30-day series
Voir sur Reddit
Découvert 7 sept. 2026

Pourquoi c'est important

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.

  • · Conçu pour Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters.
  • · Monétisation la plus probable : SaaS subscription.

La douleur · Récit

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.

Détail du score

Intensité du problème8/10
Volonté de payer7/10
Facilité de réalisation5/10
Durabilité7/10

Signal du marché

Tendance des mentions sur 30 joursPic : 33
Sparkline: latest 23, peak 33, 30-day series
Canaux couverts
optionsDaytradingalgotradingValueInvesting

Mise sur le marché

Utilisateur cible exact

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

Nombre d'utilisateurs estimé

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

Canal d'acquisition principal

Reddit organic in options trading communities + Twitter fintech community

Ancre de prix

$79/month for screening + AI analysis tier

Premier jalon

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

Périmètre MVP · 1–2 semaines

Semaine 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
Semaine 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
Fonctions MVP: 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

Différenciation

Solutions existantes
ThetaPalTastyTrade/TastyWorksBroker dashboardsOptionStrat
Notre angle
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

Pourquoi cela pourrait échouer

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

  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.

Résumé des preuves

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

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 publication analysée4 4 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

AI-Powered Options Screening & Trade Idea Platform

Sous-titre

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.

Pour Qui

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

Liste des Fonctionnalités

✓ 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

Où Valider

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

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Questions fréquentes

Qui rencontre ce problème ?
Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters
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.