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FOUNDER & MANAGING DIRECTOR
FOUNDER & MANAGING DIRECTOR
Daniel Dubbert
Daniel Dubbert
Daniel spent many years in corporate leadership roles, shaping teams and process discipline. His early exposure to markets dates back to 2001, when he outperformed the participating professional team in a real‑price stock‑market simulation and won a Caribbean trip. Today, as Founder & Managing Director of TRACONSERVCON LTD, he focuses on internal research quality, automation, and risk‑first decision‑making. He self‑funds trading and development and leads the build‑out of our internal market‑intelligence engine.
WHAT WE STAND FOR
WHAT WE STAND FOR
We trade our own capital and build the intelligence to do it better.
We trade our own capital and build the intelligence to do it better.
We operate at the intersection of proprietary trading and AI-driven market intelligence. We are a research-first trading firm: institutional attitude, startup velocity.
Mission
Mission
Turn public filings and market signals into governed, auditable research that accelerates conviction without hype—so our proprietary trading runs on evidence, discipline, and repeatable processes.
Edge
Edge
An AI‑native stack: bitemporal truth tables, vector retrieval, and decision checklists. Cleaner inputs, faster analysis, tighter risk gates—so insights survive audits and scale across workflows.
Standard
Standard
Institutional controls by default: provenance, versioning, least‑privilege, and change logs. We trade our own capital and provide no individualized advice; public pages remain strictly non‑solicitative.
PRODUCT VISION
PRODUCT VISION
AI‑Native Decision OS for Markets
AI‑Native Decision OS for Markets
Truth Layer
Truth Layer
Automated pipelines capture filings, earnings releases, and IR decks, normalize them into bitemporal, audit‑ready facts, preserve lineage, and surface a governed truth layer for downstream analysis.
Intelligence Layer
Intelligence Layer
Vector retrieval and narrative chunking enable context-aware queries, cross-period comparisons, and driver analysis—turning raw facts into defensible insight with citations, benchmarks, and clear assumptions.
Execution Layer
Execution Layer
Decision checklists, pre‑trade gates, and risk limits translate signals into repeatable workflows; outputs support our internal trading—evidence links, audit trails, and reviews keep execution disciplined.
OPERATING PRINCIPLES
OPERATING PRINCIPLES
Discipline Over Drama: Process beats impulse. Risk management first, always.
Signal Over Noise: Data lineage, bitemporal versioning, and auditability by design.
Speed With Standards: Startup pace with institutional controls—so speed never bypasses governance, reliability, or security.
Build Once, Reuse Forever: Composable systems, API-first, automation everywhere.
WHERE WE’RE HEADED
WHERE WE’RE HEADED
Engine first, platform next. We’re scaling a system that turns filings into bitemporal truth, vectorized context, and disciplined execution, for internal use today. The next act aims higher: open a window to selected capabilities as non‑advisory research services, so more people can access institutional‑grade company analysis—governed facts, cited answers, and driver analysis that works across markets. Global by design, compliant by default.
Compliance note: We do not manage third‑party assets and do not provide individualized investment advice. Any future external product would be informational only, not an offer or solicitation, and would launch only when governance, controls, and regulatory conditions are in place.
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