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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- Create QUICK_START.md for 5-minute onboarding - Create API_REFERENCE.md as single source of truth for API - Remove 9 outdated specification docs (v0.2.0 API design) - Remove DOCKER_API.md (content consolidated into new structure) - Remove docs/plans/ directory with old design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
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1.8 KiB
Database Schema
SQLite database schema reference.
Tables
jobs
Job metadata and overall status.
CREATE TABLE jobs (
job_id TEXT PRIMARY KEY,
config_path TEXT NOT NULL,
status TEXT CHECK(status IN ('pending', 'running', 'completed', 'partial', 'failed')),
date_range TEXT, -- JSON array
models TEXT, -- JSON array
created_at TEXT,
started_at TEXT,
completed_at TEXT,
total_duration_seconds REAL,
error TEXT
);
job_details
Per model-day execution details.
CREATE TABLE job_details (
id INTEGER PRIMARY KEY AUTOINCREMENT,
job_id TEXT,
model_signature TEXT,
trading_date TEXT,
status TEXT CHECK(status IN ('pending', 'running', 'completed', 'failed')),
start_time TEXT,
end_time TEXT,
duration_seconds REAL,
error TEXT,
FOREIGN KEY (job_id) REFERENCES jobs(job_id) ON DELETE CASCADE
);
positions
Trading position records with P&L.
CREATE TABLE positions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
job_id TEXT,
date TEXT,
model TEXT,
action_id INTEGER,
action_type TEXT,
symbol TEXT,
amount INTEGER,
price REAL,
cash REAL,
portfolio_value REAL,
daily_profit REAL,
daily_return_pct REAL,
created_at TEXT
);
holdings
Portfolio holdings breakdown per position.
CREATE TABLE holdings (
id INTEGER PRIMARY KEY AUTOINCREMENT,
position_id INTEGER,
symbol TEXT,
quantity REAL,
FOREIGN KEY (position_id) REFERENCES positions(id) ON DELETE CASCADE
);
price_data
Cached historical price data.
price_coverage
Data availability tracking per symbol.
reasoning_logs
AI decision reasoning (when enabled).
tool_usage
MCP tool usage statistics.
See api/database.py for complete schema definitions.