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This insight was synthesized by AI from public community discussions. We do not display original user posts or comments verbatim—all content has been rewritten and aggregated. Verify before acting on it.

78score
r/options
SaaS subscription
Build

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.

Rising +100%4 channels30-day mention trend: latest 6, peak 13, 30-day series
View on Reddit
Discovered Sep 7, 2026

Why this matters

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.

  • · Built for Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters.
  • · Most likely monetization: SaaS subscription.

The Pain · Narrative

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.

Score Breakdown

Pain Intensity8/10
Willingness to Pay7/10
Ease of Build5/10
Sustainability7/10

Market Signal

30-day mention trendPeak: 13
Sparkline: latest 6, peak 13, 30-day series
Channels covered
optionsalgotradingDaytradingValueInvesting

Go-to-Market

Exact target user

Individual retail options traders selling premium with $100K-$500K accounts who currently use 2-3 basic screeners and manual research for ticker selection

Estimated user count

~75K-150K active premium sellers globally who could benefit, with ~10K-20K likely early adopters willing to pay

Primary acquisition channel

Reddit organic in options trading communities + Twitter fintech community

Price anchor

$79/month for screening + AI analysis tier

First milestone

50 paying subscribers within 60 days of launch, validated through organic community posts and word-of-mouth

MVP Scope · 1–2 weeks

Week 1
  • 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
Week 2
  • 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
MVP Features: 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

Differentiation

Existing solutions
ThetaPalTastyTrade/TastyWorksBroker dashboardsOptionStrat
Our angle
No comprehensive platform combines high-quality calculated options analytics (IV rank, liquidity grades), AI-powered fundamental analysis for ticker selection, and semi-automated position management with smart exit execution for premium sellers

Why This Might Fail

Self-rebuttal — the most important trust signal

  1. 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.
  2. 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.
  3. 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.

Evidence Summary

How AI synthesized this insight — no verbatim quotes

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.

1 1 post analyzed4 4 channelsAI · AI synthesized · no verbatim

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

AI-Powered Options Screening & Trade Idea Platform

Sub-headline

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.

Who It's For

For Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters

Feature List

✓ 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

Where to Validate

Share your landing page in r/r/options — that's exactly where these pain points were discovered.

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Report & PRDBUSINESS

Other opportunities in the same theme

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Frequently asked questions

Who feels this pain?
Active options premium sellers with $100K-$500K accounts who trade 15-25 positions simultaneously and need better ticker selection beyond basic IV rank filters
Is this a real opportunity?
This opportunity scores 78/100 on Pain Spotter's composite metric (pain intensity, willingness to pay, technical feasibility and sustainability). Validate further before committing engineering time.
How should I validate it?
Run 5 customer-discovery conversations with the target audience, post a landing page with a waitlist, and check the linked source post for recent activity before building.