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Market-Wide Options Setup Screener SaaS
A SaaS screener that scans the entire US options market daily to find tickers matching specific structural setups: stable large-caps at support with high IV rank and adequate liquidity. It replaces manual watchlists with a dynamic, scored list of actionable wheel/put-selling candidates, solving the hours-of-homework problem options traders face when their familiar tickers are unattractive.
為什麼這很重要
You're an active options trader running the wheel strategy on a handful of familiar tickers. Things go fine until one of your trusted stocks gaps down 30% on earnings, wiping out months of premium. Or worse, your favorite names are sitting at all-time highs with crushed volatility, meaning patience equals idle capital for weeks. You know you should screen the broader market, but doing so means hours of homework sifting through noise and low-liquidity garbage just to find one decent setup. Your broker's screener doesn't combine IV rank with structural chart quality and downside cushion. You're stuck manually checking charts one by one, wondering why there isn't a tool that just replicates your proven setup across the entire universe automatically.
- · 專為 Active options traders (especially put-sellers and wheelers) with $25K-$500K accounts who sell premium weekly or monthly and currently rely on a static watchlist of 3-10 familiar tickers. 打造。
- · 最可能的變現方式：SaaS subscription。
痛點敘事
You're an active options trader running the wheel strategy on a handful of familiar tickers. Things go fine until one of your trusted stocks gaps down 30% on earnings, wiping out months of premium. Or worse, your favorite names are sitting at all-time highs with crushed volatility, meaning patience equals idle capital for weeks. You know you should screen the broader market, but doing so means hours of homework sifting through noise and low-liquidity garbage just to find one decent setup. Your broker's screener doesn't combine IV rank with structural chart quality and downside cushion. You're stuck manually checking charts one by one, wondering why there isn't a tool that just replicates your proven setup across the entire universe automatically.
得分構成
市場信號
Go-to-Market 啟動方案
Individual retail options traders selling puts/wheels on US equities with accounts between $25K and $500K who actively trade weekly or monthly
~200K-500K active premium-selling retail traders in the US
Organic posts in options trading communities (subreddits, forums) with a free daily scan email as lead magnet
$39/month for full access, with a free tier showing top 3 daily setups
100 free email subscribers and 10 paying users within 30 days of launch
MVP 方案 · 1-2 週
- Set up Polygon.io or Tradier API integration for daily options chain and IV rank data across US large-caps
- Build the core filtering pipeline: market cap > $10B, IV rank > 30, minimum open interest threshold, earnings within 30 days flag
- Create a simple composite score algorithm weighting IV rank, distance to support, and downside cushion
- Build a basic web dashboard displaying the top 20 daily sorted results with score, IV rank, premium/expected move ratio
- Deploy MVP to a staging environment and test with 5 tickers to validate data accuracy against broker platforms
- Add daily email digest feature sending the top 5 setups every morning before market open
- Implement earnings calendar integration with historical gap statistics for each candidate ticker
- Add user-configurable filters (min open interest, min IV rank, max distance from support, exclude sectors)
- Create a landing page with free daily scan email signup and paid tier for full dashboard access
- Launch to options trading communities with a free week of full access for early feedback
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
- 1Market data costs from Polygon.io or Tradier may be $500-$2000/month at scale, making the product unprofitable below a high subscriber count that's hard to reach initially.
- 2Existing platforms like ThinkOrSwim, barchart, or unusual whales could add similar composite scoring features quickly, undercutting the standalone value proposition.
- 3Options traders are notoriously fickle and may churn during bull markets with low volatility when fewer setups appear, creating highly seasonal revenue.
證據綜述
AI 如何合成此洞察——無原話引用
Approximately 5 commenters describe the pain of relying on a small watchlist and the need to screen the broader market for better setups. Multiple users mention spending hours doing homework to find replacement tickers and sifting through noise and low-liquidity garbage. Several describe wanting to filter for high IV rank across the whole market before even looking at charts, and one explicitly mentions running the entire US market through liquidity, quality, and volatility filters. The convergence of these comments signals a clear unmet need for an automated, multi-factor options setup screener.
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
Market-Wide Options Setup Screener SaaS
副標題
A SaaS screener that scans the entire US options market daily to find tickers matching specific structural setups: stable large-caps at support with high IV rank and adequate liquidity. It replaces manual watchlists with a dynamic, scored list of actionable wheel/put-selling candidates, solving the hours-of-homework problem options traders face when their familiar tickers are unattractive.
目標使用者
適合：Active options traders (especially put-sellers and wheelers) with $25K-$500K accounts who sell premium weekly or monthly and currently rely on a static watchlist of 3-10 familiar tickers.
功能列表
✓ Daily market-wide scan filtering for large-cap stability, high IV rank, and minimum liquidity/open interest ✓ Composite structural score combining support level quality, downside cushion, and IV rank into one sortable metric ✓ Premium adequacy indicator showing premium relative to expected move and historical gap risk ✓ Dynamic ticker replacement: user defines their ideal setup pattern, tool surfaces matching tickers automatically ✓ Earnings alert integration flagging upcoming earnings dates and historical gap statistics for each candidate
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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