DB Macro is a technology provider. We do not engage with retail investors and do not provide retail trading services, investment advice, or accept deposits from the general public.

DB MACRO

THE AGENTIC FINANCE OS
DB Macro architects the operating system for autonomous decision-making in quantitative finance, bridging frontier research and production deployment. Our technology is validated internally: we operate systematic strategies using the same platform and frontier AI engines that define our technical stack.
Trust EngineGlass box architecture enforcing policy-based verification on probabilistic agent reasoning. Every inference decision produces version-controlled audit trails with point-in-time correctness across data and model versions. Provides system observability for real-time monitoring of agent behavior and infrastructure health. Quantifies prediction uncertainty and validates agent robustness under stress scenarios including regime changes. Attribution logic ensures compliance enforcement at the infrastructure layer.
Agent Simulation & Live DeploymentExperimentation platform for large-scale simulation of LLM reasoning, RL policies, and statistical models against historical market conditions with point-in-time accuracy. Quantifies decision variance from LLM non-determinism across repeated inference runs to identify promotion candidates. Simulates promotion candidates within production infrastructure on live feeds to promote top performers.
Secured Multi-Agent OrchestrationOperating system layer for deploying heterogeneous multi-agent systems: LLMs, reinforcement learning policies, and statistical models within hardened boundaries. Enforces command hierarchies where risk agents maintain veto authority over portfolio decisions. Enables private deployment to prevent data leakage while managing conflict resolution through configurable voting mechanisms.
LOG_TYPE: DEPLOYMENT_ARCHITECTUREOur infrastructure provides a layered operating system for deploying autonomous agents in production: multi-asset agent-based simulation for backtest validation, integration layer enabling agents to connect to legacy execution systems and data pipelines, and model routing to optimize inference costs. Verification boundaries enforce policy constraints before market interaction.