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The Problem
Institutional-grade market structure analysis typically requires expensive SaaS platforms or teams of analysts maintaining custom infrastructure. The core analytical task — detecting structural conditions in market data — is computationally well-defined but operationally expensive.
What It Does
LACRA runs five independent detection engines in parallel, each analyzing a different structural dimension of market conditions. The engines share no state at runtime — they consume the same data feeds but produce independent assessments.
Four institutional API integrations provide the data layer. An event sourcing architecture records every detection event, every data point ingested, and every assessment produced — immutably. The system can reconstruct its complete analytical state at any historical point.
By the Numbers
- 5 independent detection engines running in parallel
- 4 institutional API integrations
- 100% audit trail via event sourcing
- 0 SaaS spend
Key Design Decisions
Describes, never prescribes. LACRA surfaces market conditions and structural patterns. It never outputs a trade recommendation or action directive. The system provides information; the human makes decisions.
Parallel, not pipelined. The five engines run independently. A failure in one does not cascade to the others.
Event sourcing over state mutation. Every analytical event is immutable. The system never overwrites its own history.