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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.
Why this matters
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.
- · Built for 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.
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
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 Breakdown
Market Signal
Go-to-Market
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
~30K-50K in the US who actively trade DTE-based spread strategies with systematic rules
r/options and r/thetagang organic posts with value-first strategy analysis content
$29/month for individual traders, $79/month for multi-account with broker syncing
50 paying subscribers within 60 days of launch, validated through community organic posts and a waitlist of 500+ emails
MVP Scope · 1–2 weeks
- 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
- 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
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 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.
- 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.
- 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.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
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.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Cloud options strategy scanner & backtester for DTE traders
Sub-headline
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.
Who It's For
For 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
Feature List
✓ 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
Where to Validate
Share your landing page in r/r/options — that's exactly where these pain points were discovered.
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