Knuckles-Team Overnight Research Workflow (Cron: 10PM ET daily)
Workflow Execution Steps
Step 1: hypothesis-generation
Generate N hypotheses from KG signals and market data.
Tool: emerald_signals(action="alpha") + KG research query.
Step 2: batch-backtest
Run all hypotheses through qlib backtest queue on GPU node.
Tool: Route to data-science-mcp for batch execution.
Step 3: debate-winners
Debate top-performing hypotheses via trading swarm.
Tool: graph_orchestrate(action="start_debate", task=top_hypothesis)
Step 4: kg-persist
Store validated strategies and research results in KG.
Tool: graph_write(action="add_node", node_type="BacktestResult", ...)
Step 5: report
Generate research report with rankings and recommendations.
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 — hypothesis-generation; Step 2 — batch-backtest; Step 3 — debate-winners; Step 4 — kg-persist; Step 5 — report
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.