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78点数
r/options
SaaS subscription
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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.

上昇 +105%4 チャネル30日間の言及傾向: latest 23, peak 33, 30-day series
Redditで見る
発見 2026年10月16日

これが重要な理由

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.

  • · 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.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'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.

スコア内訳

課題の強さ8/10
支払い意欲7/10
構築のしやすさ6/10
持続性7/10

市場シグナル

30日間の言及傾向ピーク: 33
Sparkline: latest 23, peak 33, 30-day series
対象チャネル
optionsDaytradingalgotradingValueInvesting

市場投入

正確なターゲットユーザー

Individual retail options traders selling puts/wheels on US equities with accounts between $25K and $500K who actively trade weekly or monthly

推定ユーザー数

~200K-500K active premium-selling retail traders in the US

主要な獲得チャネル

Organic posts in options trading communities (subreddits, forums) with a free daily scan email as lead magnet

価格アンカー

$39/month for full access, with a free tier showing top 3 daily setups

最初のマイルストーン

100 free email subscribers and 10 paying users within 30 days of launch

MVPの範囲 · 1~2週間

1週目
  • 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
2週目
  • 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
MVP機能: 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

差別化

既存のソリューション
Standard broker screeners (ThinkOrSwim, etc.)Manual watchlists
当社のアプローチ
There is no purpose-built tool that combines automated market-wide screening for stable large-caps with high IV rank, structural chart scoring (support levels, consolidation patterns), and premium-vs-expected-move risk/reward analysis in one workflow.

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

  1. 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.
  2. 2Existing platforms like ThinkOrSwim, barchart, or unusual whales could add similar composite scoring features quickly, undercutting the standalone value proposition.
  3. 3Options traders are notoriously fickle and may churn during bull markets with low volatility when fewer setups appear, creating highly seasonal revenue.

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

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.

1 1 件の投稿を分析4 4 チャネルAI · AIが統合 · 逐語的ではありません

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

Market-Wide Options Setup Screener SaaS

サブ見出し

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.

ターゲットユーザー

対象: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.

機能リスト

✓ 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

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。

サインアップして詳細な深掘り分析をアンロック

GTM、MVPスコープ、失敗する理由、ActionPlanコピーキット。無料サインアップで月10件の詳細ビューが利用可能です。

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同じテーマの他の機会

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よくある質問

誰がこのペインを感じていますか?
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.
これは本物のビジネスチャンスですか?
このビジネスチャンスは、Pain Spotterの総合指標(ペインの強さ、支払意欲、技術的実現可能性、持続可能性)で78/100のスコアを獲得しています。エンジニアリングの時間を割く前に、さらに検証を行ってください。
どのように検証すべきですか?
ターゲット層と5回の顧客発見の会話を行い、ウェイトリスト付きのランディングページを公開し、開発前にリンク元の投稿で最近のアクティビティを確認してください。