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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.
これが重要な理由
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.
- · 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向けに構築。
- · 最も可能性の高い収益化モデル: SaaS subscription。
痛み · ナラティブ
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.
スコア内訳
市場シグナル
市場投入
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の範囲 · 1～2週間
- 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
差別化
失敗する可能性がある理由
自己反論 — 最も重要な信頼のシグナル
- 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.
エビデンスの概要
AIがこのインサイトをどのように統合したか — 逐語的な引用はありません
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.
アクションプラン
コードを書く前に、この機会を検証しましょう
推奨する次のステップ
開発する
強い需要シグナルを検出。本物の課題と支払い意欲を確認 — MVPの開発を始めましょう。
ランディングページ文案キット
実際のRedditコメントから抽出したコピー、そのまま貼り付けられます
見出し
Cloud options strategy scanner & backtester for DTE traders
サブ見出し
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.
ターゲットユーザー
対象：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
機能リスト
✓ 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
どこで検証するか
r/r/options にランディングページのリンクを投稿しましょう — そこがこの課題が発見された場所です。
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