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Bill b3debc125f docs: restructure documentation for improved clarity and navigation

Reorganize documentation into user-focused, developer-focused, and deployment-focused sections.

**New structure:**
- Root: README.md (streamlined), QUICK_START.md, API_REFERENCE.md
- docs/user-guide/: configuration, API usage, integrations, troubleshooting
- docs/developer/: contributing, development setup, testing, architecture
- docs/deployment/: Docker deployment, production checklist, monitoring
- docs/reference/: environment variables, MCP tools, data formats

**Changes:**
- Streamline README.md from 831 to 469 lines
- Create QUICK_START.md for 5-minute onboarding
- Create API_REFERENCE.md as single source of truth for API
- Remove 9 outdated specification docs (v0.2.0 API design)
- Remove DOCKER_API.md (content consolidated into new structure)
- Remove docs/plans/ directory with old design documents
- Update CLAUDE.md with documentation structure guide
- Remove orchestration-specific references

**Benefits:**
- Clear entry points for different audiences
- No content duplication
- Better discoverability through logical hierarchy
- All content reflects current v0.3.0 API

2025-11-01 10:40:57 -04:00

1.4 KiB

Raw Blame History

Architecture

System design and component overview.

Component Diagram

See README.md for architecture diagram.

Key Components

FastAPI Server (`api/main.py`)

REST API endpoints
Request validation
Response formatting

Job Manager (`api/job_manager.py`)

Job lifecycle management
SQLite operations
Concurrency control

Simulation Worker (`api/simulation_worker.py`)

Background job execution
Date-sequential, model-parallel orchestration
Error handling

Model-Day Executor (`api/model_day_executor.py`)

Single model-day execution
Runtime config isolation
Agent invocation

Base Agent (`agent/base_agent/base_agent.py`)

Trading session execution
MCP tool integration
Position management

MCP Services (`agent_tools/`)

Math, Search, Trade, Price tools
Internal HTTP servers
Localhost-only access

Data Flow

API receives trigger request
Job Manager validates and creates job
Worker starts background execution
For each date (sequential):
- For each model (parallel):
  - Executor creates isolated runtime config
  - Agent executes trading session
  - Results stored in database
Job status updated
Results available via API

Anti-Look-Ahead Controls

TODAY_DATE in runtime config limits data access
Price queries filter by date
Search results filtered by publication date

See CLAUDE.md for implementation details.

1.4 KiB Raw Blame History

Architecture

Component Diagram

Key Components

FastAPI Server (api/main.py)

Job Manager (api/job_manager.py)

Simulation Worker (api/simulation_worker.py)

Model-Day Executor (api/model_day_executor.py)

Base Agent (agent/base_agent/base_agent.py)

MCP Services (agent_tools/)