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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.
为什么这很重要
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.
- · 专为 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。
- · 最可能的变现方式：SaaS subscription。
痛点叙事
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.
得分构成
市场信号
Go-to-Market 启动方案
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 周
- 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
差异化
为什么这件事可能失败
自我反驳——最重要的信任度信号
- 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.
证据综述
AI 如何合成此洞察——无原话引用
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.
行动计划
在写代码之前，先验证这个商机
推荐下一步
直接做
需求信号强烈。痛点真实、付费意愿明确——启动 MVP 开发。
落地页文案包
基于真实 Reddit 评论整理的即用文案，可直接粘贴到落地页
主标题
Market-Wide Options Setup Screener SaaS
副标题
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.
目标用户
适合：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
去哪里验证
把落地页链接发布到 r/r/options——这里就是这些痛点被发现的地方。
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