CALI TECHNOLOGIES
Centralized Market Intelligence — Execution & behavioral analysis
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Understand execution behavior, cost, and intent across centralized markets.

Centralized Market Intelligence is Cali's post-trade execution surface. Ingest blotters, compute P&L, surface behavioral signals, and generate evidence-backed narratives for review. Designed for investigations, compliance, and risk — not trading.

Blotter ingestion + mappingTrade-level P&L (FIFO)Execution & behavioral risk signalsExportable narratives
Cali Centralized – market intelligence view
WHY IT MATTERS

Centralized venues often hold the most important execution evidence: fees, order aggressiveness, timing clusters, and position lifecycle behavior. Traditional dashboards show trades — Cali explains behavior.

  • Turn raw fills into a review-ready execution narrative.
  • Detect urgency, fragmentation, and cost-insensitive routing patterns.
  • Quantify performance outcomes with realized/unrealized P&L and fees.
  • Export artifacts that can be reused in memos, escalations, and reviews.
KEY CAPABILITIES
  • Blotter ingestion (CSV / JSON) with column mapping and preview.
  • Evidence-first detectors: fee indifference, fragmentation/slicing, off-hours clustering, aggressive fills, and high-impact proxies.
  • Trade-level and window-level performance: realized P&L, unrealized P&L, total fees, and notional.
  • Review workflow: filter by signals, search tags, export JSON/CSV, and snapshot summaries.
  • Narrative drafting for different audiences (executive / analyst voices) with conservative language.
EXECUTION & BEHAVIORAL RISK MODEL

Centralized intelligence uses a behavioral execution model — not a price forecast and not a black-box score. Signals are computed from observable execution patterns and tied to supporting rows, so reviewers can validate conclusions quickly.

  • Urgency: market-heavy execution, aggressive fill clusters, and timing compression.
  • Cost insensitivity: elevated fee tolerance, repeated high-cost fills, and fee-indifferent routing.
  • Fragmentation: repeated small clips consistent with slicing and single-ticket avoidance.
  • Timing risk: off-hours clustering and bursty sequences around key windows.
  • Intent signals: round-trip patterns, convert/transfer chains, and self-offsetting behavior (context-dependent).
EXAMPLE

A review window shows frequent market orders with elevated fees and repeated small clips across short bursts. Centralized flags urgency and fragmentation, computes the fee and impact footprint, and drafts a narrative that anchors each claim to the matching set of executions.

WHAT IT DOES
  • Ingests blotters and normalizes them into a consistent activity schema.
  • Computes window summaries: trades, notional, fees, average fee %, and impact proxies.
  • Calculates realized/unrealized P&L using conservative accounting (FIFO) and shows outcomes alongside behavior.
  • Surfaces explainable signals with supporting evidence rows — designed for review.
  • Exports JSON/CSV and shareable snapshots for workflows outside the tool.
WHO IT'S FOR
  • Compliance and risk teams reviewing centralized market activity.
  • Investigators correlating off-chain execution with on-chain movement.
  • Operations and controls teams monitoring routing and fee behavior.
  • Advisory and governance teams drafting review-ready summaries.
AI IN CENTRALIZED INTELLIGENCE

Cali's assistant drafts structured summaries from the computed signals and the underlying evidence. Analysts stay in control: you can copy narratives, export snapshots, and reuse language in approvals, memos, and escalations.

  • Executive and analyst narratives with conservative, review-safe wording.
  • Evidence binding: summaries reference concrete rows and measurable indicators.
  • Exportable artifacts designed to travel into reports and documentation.
WHERE IT FITS IN CALI

Centralized Market Intelligence complements the rest of the suite: on-chain flows explain movement, and blotter execution explains routing, urgency, and cost behavior.

  • Activity for transaction monitoring and investigative triage.
  • Pivot to summarize patterns across entities, tokens, and windows.
  • Graph to connect movements into provenance narratives.
  • Report Station to assemble final write-ups using consistent language.
READY TO SEE IT LIVE?
Walk through blotter ingestion, evidence-backed signals, and narrative export in a short guided demo.