Executive Summary

Institutional allocators, quant funds, and sophisticated retail traders currently face noisy, delayed, and fragmented insider-trading disclosures that are hard to translate into trading signals; analysts waste hours reconciling filings across subsidiaries and derivatives, and many opportunities are missed due to poor timeliness and attribution. This pain is real for the 150,000 professional users willing to pay for higher-quality alternative data, but current tools lack the granular tracking needed for reliable, programmatic use. You could build a low-latency platform and API that ingests filings, applies modern NLP to extract and link individuals, entities, derivatives, ownership percentages and timestamps, and delivers normalized time-series, provenance-scored alerts, and visualization dashboards. Offer tiered pricing with a $8K ACV professional tier and higher-priced institutional feeds, emphasizing auditability and integration for quant workflows. The market is attractive now: estimated TAM of $1.2B (150k users × $8K ACV) and rising willingness among allocators and quants to pay for niche signals, while advances in AI-driven document parsing materially lower extraction costs. You can stand out by focusing on entity-resolution across corporate hierarchies and derivative positions, best-in-class provenance/accuracy metrics, and low-latency delivery tailored to quant and allocator integrations; be upfront that the biggest challenges are high-quality data ingestion, regulatory noise, and customer acquisition, but medium competition and clear demand make this a viable, scalable niche if you can hit accuracy and latency targets.

Market Opportunity

Make insider-trade data actionable with modern, granular tracking targets a $1.2B = 150,000 professional users × $8K ACV total addressable market with medium saturation and a year-over-year growth rate of 8% YoY — financial data and analytics market growth driven by alternative data demand (industry research estimates).

Key trends driving demand: Alternative-data demand — allocators and quants are paying for niche signals like insider activity, creating willingness to subscribe for high-quality feeds.; AI-driven document parsing — NLP improvements make automated, accurate extraction from filings faster and cheaper, enabling richer products.; Retail pro upgrade — sophisticated retail traders increasingly buy premium data and tools, expanding the addressable market beyond institutions..

Key competitors include OpenInsider, GuruFocus, TipRanks.

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Make insider-trade data actionable with modern, granular tracking

Executive Summary

Market Validation

Market Opportunity

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