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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.
為什麼這很重要
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.
- · 專為 Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters 打造。
- · 最可能的變現方式：SaaS subscription。
痛點敘事
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.
得分構成
市場信號
Go-to-Market 啟動方案
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 方案 · 1-2 週
- 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
- 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.
證據綜述
AI 如何合成此洞察——無原話引用
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.
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
AI-Powered Options Screening & Trade Idea Platform
副標題
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.
目標使用者
適合：Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters
功能列表
✓ 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
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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