Knuckles-Team Alpha Discovery Workflow
Workflow Execution Steps
Step 1: data-ingest
Fetch market data for target universe.
Tool: emerald_market_data(action="historical", symbol=..., period="1y")
Step 2: feature-engineering
Generate alpha factors with IC/IR scoring.
Tool: emerald_signals(action="alpha", ticker=...)
Step 3: regime-detection
Classify current market regime (Bull/Bear/Sideways/Crisis).
Tool: emerald_signals(action="regime", ticker=...)
Step 4: signal-fusion
Bayesian fusion of all signal sources.
Tool: emerald_signals(action="fuse", ticker=...)
Step 5: kg-persist
Store AlphaFactor and TradingSignal nodes in KG.
Tool: graph_write(action="add_node", node_type="AlphaFactor", ...)
Execution
Run this workflow as a dependency-ordered DAG. Steps with no unmet depends_on run in parallel; dependents run after their prerequisites complete.
- Run first (in parallel): Step 1 — data-ingest; Step 2 — feature-engineering; Step 3 — regime-detection; Step 4 — signal-fusion; Step 5 — kg-persist
Execution: If graph-os is reachable, offload the whole DAG via graph_orchestrate action=execute_workflow (or the kg-delegate skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet depends_on in parallel, then their dependents.