Market Data Engineering
Ingestion, normalization, local books, sequence and gap handling, timestamps, provenance and replay.
Technology
Deterministic Intelligence for Electronic Markets
PMRA Systems builds measurable infrastructure for electronic markets — combining high-performance engineering, market data intelligence, execution-quality analysis and risk-aware system design.
Designed for extensibility across multiple venues, instruments and electronic market structures, including digital assets, equities and other exchange-traded markets.
Differentiators
Ingestion, normalization, local books, sequence and gap handling, timestamps, provenance and replay.
Data through analytics, execution intelligence, risk, ledger, reconciliation and TCA — designed as one system.
Every published measurement states its scope and limitation. Planned capabilities are clearly distinguished from measured and implemented systems.
Market data
The engineering work includes multi-venue ingestion, normalized events, local order books, sequence and gap handling, timestamping, integrity checks, provenance, replay and reconstruction, and high-throughput processing. Venue-specific optimizations remain proprietary.
Conceptual model
Each layer is labeled according to the current engineering record; layers marked target architecture describe planned capability.
Venue connectivity and market-access engineering.
Event streams, normalization, sequence handling and path-latency measurement.
Research on order book, trade flow, spread, liquidity, imbalance, queue and regime dynamics.
Research is evaluated through documented validation and evidence gates. Proprietary strategy logic and scoring remain confidential.
Venue choice, fill probability, slippage, adverse selection, size, passive or aggressive selection, and cancel or reprice control as research problems.
Pre-trade and real-time controls across exposure, liquidity and system health.
Decision through acknowledgment, fill, fee, reconciliation, attribution and transaction cost analysis.
Process supervision, recovery and failure isolation as engineering practice.
How capacity scales once measured evidence supports it.
Partner-facing interfaces for research notes and benchmarks.
FPGA acceleration, hardware timestamping and precision clock synchronization remain roadmap / validation-stage capabilities and are not represented as currently deployed production infrastructure. XDP, eBPF and active-active failover are target architecture.
Lifecycle
data → market state → analytics → execution intelligence → risk → ledger → reconciliation → TCA
Observability and reliability sit around that path. Production validation of the full execution lifecycle remains in progress.
Execution intelligence
Active research and engineering problems in execution quality.
Assessment of venue and execution-path quality.
Queue-position and touch dynamics for fill-probability estimation.
Expected execution cost incorporated into sizing decisions.
Post-fill adverse-selection analysis.
Dynamic sizing based on liquidity, risk and execution conditions.
Passive/aggressive selection based on measured execution conditions.
Cancel and reprice controls for stale-quote risk.
Post-trade fee and execution-path attribution.
Risk and truth
Decision → Pre-trade risk → Execution → Real-time controls
Position, exposure, liquidity, price collar, fat-finger, venue health.
Drawdown, inventory, reject rate, latency, toxic-flow monitors, kill switch. Engineering controls designed to support deterministic risk management and operational safeguards.
Decision → Order → ACK → Fill → Fee → Reconciliation → TCA → Attribution
Component measurements on the Research & Evidence page are published with their defined scope and are distinct from order round-trip times.
Stack
Latency-sensitive components for market data, encoding and authentication.
Experiment runners, gates and measurement scripts.
FPGA-assisted processing under laboratory evaluation.
Kernel-level profiling and packet-path research.
Precision clock synchronization for deterministic timing.