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Options Trade Analytics & Strategy Attribution Platform
A SaaS platform that ingests retail options traders' broker history, automatically reconstructs multi-leg rolls and spreads into coherent strategies, and provides per-strategy, per-ticker P&L attribution with statistical significance testing. This solves the core pain of traders who cannot tell which of their setups are actually profitable versus which quietly bleed money.
Why this matters
You are an active retail options trader who has spent a year placing trades across multiple strategies and tickers, only to find yourself at breakeven with no clear understanding of why. Your broker's platform fragments your trade history, splitting multi-leg rolls into disconnected entries, making it nearly impossible to see which strategies are actually making money and which are quietly giving it all back. You have tried building a spreadsheet, but manually reconciling every assignment, adjustment, and roll is tedious and error-prone. What you need is a tool that automatically reconstructs your full trade history into coherent strategies and shows you exactly where your edge is, so you can double down on what works and cut what doesn't.
- · Built for Active retail options traders managing $25k-$500k accounts who execute 10+ trades per month and need to understand which strategies are working.
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You are an active retail options trader who has spent a year placing trades across multiple strategies and tickers, only to find yourself at breakeven with no clear understanding of why. Your broker's platform fragments your trade history, splitting multi-leg rolls into disconnected entries, making it nearly impossible to see which strategies are actually making money and which are quietly giving it all back. You have tried building a spreadsheet, but manually reconciling every assignment, adjustment, and roll is tedious and error-prone. What you need is a tool that automatically reconstructs your full trade history into coherent strategies and shows you exactly where your edge is, so you can double down on what works and cut what doesn't.
Score Breakdown
Market Signal
Go-to-Market
Active retail options traders executing 10+ trades per month on Tastytrade or Interactive Brokers who are frustrated by the lack of per-strategy P&L attribution in their broker's native reporting
~200K-500K active retail options traders in the US who could benefit, with ~20K-50K as realistic early adopters willing to pay for analytics
Organic content marketing in options trading communities with value-driven posts about trade analysis methodology, supplemented by SEO targeting 'options trade analysis' and 'per-strategy P&L' long-tail keywords
$39/month for individual traders, with a 14-day free trial requiring broker connection
50 paying users within 30 days of launch, acquired through organic community engagement and a free trade-history-analysis tool that requires email signup
MVP Scope · 1–2 weeks
- Research and document broker API data formats for Tastytrade and Interactive Brokers, focusing on options trade history endpoints
- Build a Python module to ingest and normalize raw options trade data from CSV exports for the top two brokers
- Implement core logic to reconstruct multi-leg option rolls by matching opening and closing legs with the same underlying and expiration
- Create a simple per-ticker P&L aggregation view that groups all trades by underlying symbol and shows total profit/loss
- Deploy a basic web form where users can upload their CSV export and receive a per-ticker P&L summary via email
- Extend the trade reconstruction engine to identify common strategy patterns (credit spreads, debit spreads, iron condors) from grouped legs
- Build a per-strategy P&L dashboard showing win rate, average win, average loss, and total P&L for each identified strategy type
- Add statistical significance calculations (e.g., confidence intervals on win rate, t-test on returns) to indicate whether performance is likely skill or luck
- Implement user accounts with secure authentication and broker API connection for automated daily data sync
- Create a landing page with the free CSV analysis tool as a lead magnet and begin collecting waitlist signups from options trading communities
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1Broker API limitations or changes could prevent reliable data ingestion, especially for complex multi-leg options history — if users cannot connect their broker or upload clean data, the tool has zero value on day one.
- 2The strategy classification logic may be too simplistic for advanced traders using custom or non-standard setups, causing power users to reject the tool as inaccurate and damaging credibility through negative word of mouth.
- 3The target audience of active but not-yet-profitable traders may have high churn as they quit trading after losing their accounts, meaning the customer base is constantly turning over and acquisition costs may exceed lifetime value.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Approximately three commenters in the discussion explicitly describe the need to break down trading history by strategy and ticker to identify which setups are profitable. One user describes using a third-party tool to extract per-ticker totals from broker history because the platform fragments rolls into separate trades. Another emphasizes the importance of backtesting and statistical analysis, noting most strategies found online do not work. Multiple commenters with substantial income from trading ($5-20k/month) indicate the target audience has both the capital and the motivation to pay for analytics that protect and optimize their returns.
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
Options Trade Analytics & Strategy Attribution Platform
Sub-headline
A SaaS platform that ingests retail options traders' broker history, automatically reconstructs multi-leg rolls and spreads into coherent strategies, and provides per-strategy, per-ticker P&L attribution with statistical significance testing. This solves the core pain of traders who cannot tell which of their setups are actually profitable versus which quietly bleed money.
Who It's For
For Active retail options traders managing $25k-$500k accounts who execute 10+ trades per month and need to understand which strategies are working
Feature List
✓ Automated broker data ingestion via API or CSV upload for major brokers ✓ Multi-leg options trade reconstruction that properly groups rolls, assignments, and adjustments ✓ Per-strategy and per-ticker P&L attribution with win rate and average win/loss metrics ✓ Statistical significance testing to show whether results are skill or luck ✓ Visual strategy performance dashboard with drill-down capability
Where to Validate
Share your landing page in r/r/options — that's exactly where these pain points were discovered.
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