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AI-Powered Options Screening & Trade Idea Platform
A SaaS platform that combines proprietary calculated IV rank, liquidity grading, and AI-generated fundamental analysis to help premium sellers identify, evaluate, and monitor trade opportunities. Unlike basic screeners, it explains WHY volatility is elevated and assesses directional risk, addressing the core criticism that naive IV-rank-based selling is dangerous.
これが重要な理由
You're an active options premium seller managing a portfolio of 15-25 positions across multiple tickers. Your broker's dashboard shows IV rank that's just raw data feed output, not properly calculated. You know that naively selling high IV rank is dangerous, but existing screeners don't tell you WHY volatility is elevated or whether there's directional risk. You've tried building your own IV calculations and liquidity grades, which was incredibly painful and time-consuming. You need a tool that combines quality analytics with AI-powered fundamental analysis so you can confidently select tickers, understand the risk, and stop staring at your broker's dashboard guessing.
- · Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters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 premium seller managing a portfolio of 15-25 positions across multiple tickers. Your broker's dashboard shows IV rank that's just raw data feed output, not properly calculated. You know that naively selling high IV rank is dangerous, but existing screeners don't tell you WHY volatility is elevated or whether there's directional risk. You've tried building your own IV calculations and liquidity grades, which was incredibly painful and time-consuming. You need a tool that combines quality analytics with AI-powered fundamental analysis so you can confidently select tickers, understand the risk, and stop staring at your broker's dashboard guessing.
スコア内訳
市場シグナル
市場投入
Individual retail options traders selling premium with $100K-$500K accounts who currently use 2-3 basic screeners and manual research for ticker selection
~75K-150K active premium sellers globally who could benefit, with ~10K-20K likely early adopters willing to pay
Reddit organic in options trading communities + Twitter fintech community
$79/month for screening + AI analysis tier
50 paying subscribers within 60 days of launch, validated through organic community posts and word-of-mouth
MVPの範囲 · 1～2週間
- Set up options data feed integration (ORATS or IVolatility API) and build historical volatility database schema
- Implement proprietary IV rank calculation engine with 1-year lookback
- Build basic liquidity grading algorithm using bid-ask spread, open interest, and volume data
- Create simple web UI with ticker screening filters (IV rank, liquidity grade, underlying price)
- Deploy MVP to staging and test with 5-10 tickers for data accuracy
- Integrate LLM API to generate stock briefs explaining why volatility is elevated for screened tickers
- Add directional risk assessment scoring based on technicals (MA position, support/resistance) and fundamentals
- Build trade idea card with risk/reward visualization and position sizing suggestions
- Implement saved screens and daily alert emails for new opportunities matching criteria
- Onboard 10 beta testers from options trading communities for feedback
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 feed costs may be too high relative to early subscription revenue, creating a negative unit economics problem until scale is reached — $1000/month data costs need ~15 subscribers at $79/month just to break even on data alone.
- 2Experienced traders in this community are skeptical of AI-generated analysis and may view the tool as another naive screener, especially if the AI briefs lack depth or are occasionally wrong about directional risk.
- 3The most sophisticated traders who feel this pain most acutely are also the most capable of building their own custom systems, meaning the target audience may self-select toward DIY solutions.
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 (~6) discussed the inadequacy of basic IV rank and liquidity filters for ticker selection, with experienced traders emphasizing that descriptive metrics like IV rank are not predictive and traders need to understand WHY volatility is elevated. The original poster revealed they built custom calculated IV rank, proprietary liquidity grades, and AI-generated stock briefs, describing the liquidity grade development as extremely difficult. Another commenter mentioned already paying for a tool called ThetaPal, confirming willingness to pay. The discussion shows traders with $100K-$500K accounts generating $10K-$22K monthly, indicating both the financial capacity and the stakes that justify paying for better screening tools.
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
AI-Powered Options Screening & Trade Idea Platform
サブ見出し
A SaaS platform that combines proprietary calculated IV rank, liquidity grading, and AI-generated fundamental analysis to help premium sellers identify, evaluate, and monitor trade opportunities. Unlike basic screeners, it explains WHY volatility is elevated and assesses directional risk, addressing the core criticism that naive IV-rank-based selling is dangerous.
ターゲットユーザー
対象：Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters
機能リスト
✓ Proprietary calculated IV rank with historical volatility database ✓ AI-generated stock briefs explaining why volatility is elevated with directional risk assessment ✓ Custom liquidity grading system for options contracts ✓ Trade idea generation with risk/reward visualization ✓ Sector rotation and technical analysis integration for entry timing
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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