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Docs/AI Trading Agents

AI Trading Agents

Production + Expansion

OpeniBank agent mode separates decision proposal from execution authority. Brains can be rule-based, ML, LLM, or hybrid, but all spend-capable actions pass through safety and commitment gates.

North Star

Agents can reason over portfolio and market context while never bypassing deterministic risk, permit, and commitment controls.

Production Pillars

  • •Brain abstraction (Rule / ML / LLM / Hybrid)
  • •ProposedAction model separated from execution authority
  • •Guard layer (budget, rate, anomaly, kill switch)
  • •Local-first LLM option for privacy-sensitive use cases
  • •Fleet lifecycle and observability for multi-agent operations

Source Baseline

This documentation page is aligned with the following OpeniBank v4 planning files.

  • 06-AGENT-MODE.md
  • OPENIBANK_BOT_SPEC.md
  • 02-SOLO-MODE.md

Service Model

Personal Bot

Solo users

Local assistant for portfolio analysis, alerts, and constrained strategy automation.

Core Components

Default bot profileLocal model optionSafety guard

Delivery: Bundled with solo runtime

Team Agent Fleet

Trading teams and small funds

Multiple strategy agents with shared control plane and centralized risk envelope.

Core Components

Fleet managerRole policiesShared telemetry

Delivery: Hosted or self-hosted fleet controller

Agent Marketplace

Network participants

Distributable agent templates and skills with versioned policy constraints.

Core Components

Publishing pipelineDiscoveryRevenue controls

Delivery: Network-mode extension

Deep-Dive Pages

Back to all systems

Agent and Brain Architecture

Production

Agents are stateful services that consume context, produce proposed actions, and submit through guarded execution interfaces.

Define a modular architecture where reasoning engines can evolve without weakening execution guarantees.

4 production checkpointsOpen Topic

Safety Guard Layer

Production

Budget, rate, anomaly, and kill-switch controls create a hard execution perimeter around all agents.

Prevent unsafe autonomous behavior without removing useful automation.

4 production checkpointsOpen Topic

Skill System and SDK Surface

Production Track

Skill modules extend agent capability while preserving guardrail contracts.

Allow extensibility for ecosystem growth without introducing unbounded execution vectors.

4 production checkpointsOpen Topic

Agent Lifecycle and Fleet Operations

Production Track

Production operation requires explicit agent state transitions, health tracking, and intervention controls.

Operate multi-agent systems reliably with predictable rollout, rollback, and incident handling.

4 production checkpointsOpen Topic