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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.
為什麼這很重要
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.
- · 專為 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 打造。
- · 最可能的變現方式：SaaS subscription。
痛點敘事
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.
得分構成
市場信號
Go-to-Market 啟動方案
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 方案 · 1-2 週
- 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
差異化
為什麼這件事可能失敗
自我反駁——最重要的信任度信號
- 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.
證據綜述
AI 如何合成此洞察——無原話引用
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.
行動計畫
在寫程式之前，先驗證這個商機
建議下一步
直接做
需求訊號強烈。痛點真實、付費意願明確——啟動 MVP 開發。
落地頁文案包
基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁
主標題
Cloud options strategy scanner & backtester for DTE traders
副標題
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.
目標使用者
適合：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
功能列表
✓ 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
去哪裡驗證
把落地頁連結發布到 r/r/options——這裡就是這些痛點被發現的地方。
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