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Options Relative Value Trade Screener
A tool that identifies dislocations in the volatility surface—where ATM vol, skew, term structure, and convexity are mispriced relative to historical relationships—and decomposes potential trades into their component risk factors (long vol, short skew, calendar, convexity) with visualized P&L attribution. Targets sophisticated options traders who currently identify RV opportunities through manual analysis.
Why this matters
You understand relative value concepts in options—you know that buying an ATM straddle while shorting VIX futures gives you long vol, short skew, and a calendar component. But finding situations where these components are statistically mispriced requires manually scanning volatility surfaces, comparing skew slopes and term structure to historical ranges, and mentally decomposing how each piece contributes to your risk. When a commenter asks whether buying SPX vol and selling VIX is arbitrage and another has to explain it is actually a complex multi-factor RV trade, you see the knowledge gap. You wish there were a tool that scanned for surface dislocations, showed you which components were cheap or rich, and visualized how a structured trade would perform across scenarios.
- · Built for Semi-professional and advanced retail options traders who understand relative value concepts but lack tools to systematically screen for and structure RV trades.
- · Most likely monetization: SaaS subscription with API tier for quants who want programmatic access.
The Pain · Narrative
You understand relative value concepts in options—you know that buying an ATM straddle while shorting VIX futures gives you long vol, short skew, and a calendar component. But finding situations where these components are statistically mispriced requires manually scanning volatility surfaces, comparing skew slopes and term structure to historical ranges, and mentally decomposing how each piece contributes to your risk. When a commenter asks whether buying SPX vol and selling VIX is arbitrage and another has to explain it is actually a complex multi-factor RV trade, you see the knowledge gap. You wish there were a tool that scanned for surface dislocations, showed you which components were cheap or rich, and visualized how a structured trade would perform across scenarios.
Score Breakdown
Market Signal
Go-to-Market
Experienced options traders who already understand Greeks and basic vol dynamics but want to move into relative value and skew trading strategies
~5K-10K globally who actively trade or aspire to trade RV strategies
Technical blog posts explaining RV decomposition with the tool, shared in options and quant trading communities
$79/month for screener access, $149/month with API
20 paying users within 90 days, validated through technical content marketing showing real RV dislocation examples
MVP Scope · 1–2 weeks
- Define and implement statistical dislocation metrics for skew slope, term structure slope, and convexity vs their 252-day rolling distributions
- Build data pipeline to ingest end-of-day options chains for SPX, QQQ, and top 10 liquid single names
- Implement trade decomposition engine that breaks down any multi-leg position into vol/skew/calendar/convexity factor exposures
- Create backtesting module that shows how similar historical dislocations resolved over following 5-20 sessions
- Build API endpoints serving current dislocation scores and historical comparison data
- Design and build interactive dashboard showing dislocation heatmaps across underlyings and surface dimensions
- Add trade structuring interface where users input legs and see factor decomposition with scenario P&L charts
- Implement alert system for dislocations exceeding 2-standard-deviation thresholds
- Create educational content explaining RV decomposition methodology to build trust and demonstrate value
- Deploy MVP, set up landing page with interactive demo showing a real historical dislocation example
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The target audience of sophisticated RV traders is small and many already have institutional-grade tools or custom Python infrastructure that they trust more than a third-party SaaS
- 2Building accurate factor decomposition and dislocation detection requires deep quant expertise and high-quality data, making the MVP technically risky and expensive to build well
- 3The tool may be too complex for the broader market—only the most sophisticated users see value, creating a tiny TAM that cannot sustain a standalone business
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Four commenters discuss the mechanics of relative value trades between SPX ATM vol and VIX, with one explaining the decomposition into long vol, short skew, and calendar components, another noting that clean execution requires variance swaps which are inaccessible, and a third asking whether the structure constitutes arbitrage. This reveals both sophisticated understanding of RV concepts and a practical gap in tools to identify and structure these trades. The discussion shows traders mentally decomposing positions but lacking a systematic screener to find dislocations across the volatility surface.
Action Plan
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Recommended Next Step
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Headline
Options Relative Value Trade Screener
Sub-headline
A tool that identifies dislocations in the volatility surface—where ATM vol, skew, term structure, and convexity are mispriced relative to historical relationships—and decomposes potential trades into their component risk factors (long vol, short skew, calendar, convexity) with visualized P&L attribution. Targets sophisticated options traders who currently identify RV opportunities through manual analysis.
Who It's For
For Semi-professional and advanced retail options traders who understand relative value concepts but lack tools to systematically screen for and structure RV trades
Feature List
✓ RV opportunity screener scanning volatility surfaces for statistical dislocations in skew, term structure, and convexity ✓ Trade structuring engine that decomposes proposed positions into vol/skew/calendar/convexity components with P&L attribution ✓ Historical dislocation database showing how similar setups resolved in the past ✓ Risk visualization showing each component's contribution to scenario P&L ✓ Alert system for significant surface dislocations across tracked underlyings
Where to Validate
Share your landing page in r/r/options — that's exactly where these pain points were discovered.
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