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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.
Why this matters
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.
- · Built for 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..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
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.
Score Breakdown
Market Signal
Go-to-Market
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 Scope · 1–2 weeks
- 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
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 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.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
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.
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
Market-Wide Options Setup Screener SaaS
Sub-headline
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.
Who It's For
For 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.
Feature List
✓ 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
Where to Validate
Share your landing page in r/r/options — that's exactly where these pain points were discovered.
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