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78score
r/options
SaaS subscription
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Cloud options strategy scanner & backtester for DTE traders

A cloud-based SaaS platform that combines automated setup scanning across a wide ticker universe with backtesting capabilities specifically designed for disciplined long-DTE options traders. The tool filters for user-defined DTE ranges, delta targets, earnings/FOMC avoidance, and risk-reward thresholds, then alerts traders only when valid setups appear — eliminating the need to constantly monitor markets manually.

En hausse +105%4 canauxTendance des mentions sur 30 jours: latest 23, peak 33, 30-day series
Voir sur Reddit
Découvert 16 oct. 2026

Pourquoi c'est important

You are a disciplined options trader who follows strict rules — 45-55 DTE, avoid earnings, specific delta targets, defined risk. But this discipline means you sit idle for most of the month, staring at screens, waiting for setups that match your criteria across just a dozen tickers. When you want to validate whether your strategy actually works, you have to fire up a desktop application, manually configure parameters, and hope the backtester supports your specific filtering needs. There is no tool that scans a wide universe of tickers in the cloud, alerts you only when a valid setup appears, and lets you backtest with earnings-aware filtering from any device. You are left doing this manually, wasting hours on monitoring instead of living your life.

  • · Conçu pour Active individual options traders running defined-risk spread strategies (put/call credit spreads, iron condors) with 30-55 DTE who maintain disciplined rules around earnings avoidance and delta targets, typically managing 10-30 positions with $50K-$500K accounts.
  • · Monétisation la plus probable : SaaS subscription.

La douleur · Récit

You are a disciplined options trader who follows strict rules — 45-55 DTE, avoid earnings, specific delta targets, defined risk. But this discipline means you sit idle for most of the month, staring at screens, waiting for setups that match your criteria across just a dozen tickers. When you want to validate whether your strategy actually works, you have to fire up a desktop application, manually configure parameters, and hope the backtester supports your specific filtering needs. There is no tool that scans a wide universe of tickers in the cloud, alerts you only when a valid setup appears, and lets you backtest with earnings-aware filtering from any device. You are left doing this manually, wasting hours on monitoring instead of living your life.

Détail du score

Intensité du problème8/10
Volonté de payer7/10
Facilité de réalisation6/10
Durabilité6/10

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 running systematic credit spread strategies on 10-30 tickers with accounts between $50K-$500K who currently use desktop-only backtesting tools

Nombre d'utilisateurs estimé

~30K-50K in the US who actively trade DTE-based spread strategies with systematic rules

Canal d'acquisition principal

r/options and r/thetagang organic posts with value-first strategy analysis content

Ancre de prix

$29/month for individual traders, $79/month for multi-account with broker syncing

Premier jalon

50 paying subscribers within 60 days of launch, validated through community organic posts and a waitlist of 500+ emails

Périmètre MVP · 1–2 semaines

Semaine 1
  • Set up options data API integration (Polygon.io or ORATS) for real-time and historical chain data
  • Build core scanning engine that filters tickers by DTE range, delta target, and earnings date exclusion
  • Create simple web UI with ticker list, filter parameters, and results table showing matching setups
  • Integrate earnings calendar API to auto-exclude expiration cycles containing earnings dates
  • Deploy MVP to cloud (Vercel/AWS) and test scanning accuracy against manually verified setups
Semaine 2
  • Add backtesting engine for single-leg and two-leg spread strategies with P&L, win rate, and max drawdown metrics
  • Implement buy-and-hold benchmark comparison using equivalent capital allocation
  • Add email and SMS alert system that notifies users when new setups match their saved scan criteria
  • Create user account system with subscription management via Stripe
  • Launch private beta with 20 traders from options trading communities for feedback and accuracy validation
Fonctions MVP: Multi-ticker setup scanner with DTE, delta, earnings-avoidance, and IV-rank filters · Cloud-based backtesting engine comparing spread strategies vs. buy-and-hold with equivalent capital and drawdown metrics · Automated alerts when new setups match user-defined criteria across expanded ticker universe · Earnings calendar and FOMC event integration that auto-excludes affected expiration cycles · Strategy performance dashboard tracking win rate, average return, max drawdown, and risk-adjusted returns

Différenciation

Solutions existantes
Tasty Trade Desktop
Notre angle
No cloud-based tool combines multi-strategy backtesting with earnings/FOMC filtering, relative IV analysis for dispersion opportunities, and automated setup scanning across a wide ticker universe — all designed for disciplined long-DTE options traders.

Pourquoi cela pourrait échouer

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

  1. 1Options data licensing costs from providers like Polygon.io or ORATS may be $2K-5K/month for the data depth needed, making it impossible to break even at $29/month without hundreds of subscribers — the unit economics could be inverted early on.
  2. 2Established platforms like Tasty Trade already have backtesting tools and could add cloud-based scanning features quickly, leveraging their existing user base and data infrastructure to crush a standalone startup.
  3. 3Backtesting accuracy is make-or-break — if results diverge from what users see on their existing desktop tools, trust evaporates instantly and churn spikes, especially since traders validate tool outputs against their own trade histories.

Résumé des preuves

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

Multiple commenters (~5) described the pain of sitting idle waiting for valid setups, noting that discipline means trading only 3-4 days per month. Several (~4) mentioned needing to use desktop-bound backtesting tools, expressing frustration about accessibility. Around 3 commenters discussed the challenge of evaluating whether premiums justify the risk, doing manual IV and expected-move calculations. The recurring theme is that disciplined traders lack cloud-based tools that combine setup scanning, earnings-aware filtering, and strategy validation — they cobble together manual processes and desktop applications.

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

Cloud options strategy scanner & backtester for DTE traders

Sous-titre

A cloud-based SaaS platform that combines automated setup scanning across a wide ticker universe with backtesting capabilities specifically designed for disciplined long-DTE options traders. The tool filters for user-defined DTE ranges, delta targets, earnings/FOMC avoidance, and risk-reward thresholds, then alerts traders only when valid setups appear — eliminating the need to constantly monitor markets manually.

Pour Qui

Pour Active individual options traders running defined-risk spread strategies (put/call credit spreads, iron condors) with 30-55 DTE who maintain disciplined rules around earnings avoidance and delta targets, typically managing 10-30 positions with $50K-$500K accounts

Liste des Fonctionnalités

✓ Multi-ticker setup scanner with DTE, delta, earnings-avoidance, and IV-rank filters ✓ Cloud-based backtesting engine comparing spread strategies vs. buy-and-hold with equivalent capital and drawdown metrics ✓ Automated alerts when new setups match user-defined criteria across expanded ticker universe ✓ Earnings calendar and FOMC event integration that auto-excludes affected expiration cycles ✓ Strategy performance dashboard tracking win rate, average return, max drawdown, and risk-adjusted returns

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 individual options traders running defined-risk spread strategies (put/call credit spreads, iron condors) with 30-55 DTE who maintain disciplined rules around earnings avoidance and delta targets, typically managing 10-30 positions with $50K-$500K accounts
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.