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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.

Steigend +105%4 Kanäle30-Tage-Erwähnungstrend: latest 23, peak 33, 30-day series
Auf Reddit ansehen
Entdeckt 16. Okt. 2026

Warum das wichtig ist

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.

  • · Entwickelt für 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.
  • · Wahrscheinlichste Monetarisierung: SaaS subscription.

Der Schmerz · Narrativ

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.

Score-Details

Schmerzintensität8/10
Zahlungsbereitschaft7/10
Umsetzbarkeit6/10
Nachhaltigkeit6/10

Marktsignal

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

Markteinführung

Genauer Zielnutzer

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

Geschätzte Nutzeranzahl

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

Primärer Akquisekanal

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

Preisanker

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

Erster Meilenstein

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

MVP-Umfang · 1–2 Wochen

Woche 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
Woche 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
MVP-Funktionen: 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

Differenzierung

Bestehende Lösungen
Tasty Trade Desktop
Unser Ansatz
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.

Warum dies scheitern könnte

Selbstwiderlegung — das wichtigste Vertrauenssignal

  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.

Evidenzzusammenfassung

Wie KI diese Erkenntnis synthetisiert hat — keine wörtlichen Zitate

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 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

Cloud options strategy scanner & backtester for DTE traders

Unterüberschrift

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.

Für Wen

Für 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

Funktionsliste

✓ 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

Wo Validieren

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

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Häufig gestellte Fragen

Wer spürt diesen Schmerz?
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
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.