Knuckles-Team Strategy Export Workflow
CONCEPT:EE-011
Steps
Step 1: Select Strategy
Agent: data-fetcher
Tools: graph_query, sx_search
Pick a validated strategy from the Knowledge Graph.
Tool: emerald_strategy(action="list")
Step 2: Export
Agent: compute-engine
Tools: graph_analyze
Convert to target format (PineScript/MQL5/TDX).
Tool: emerald_strategy(action="export", strategy_id=..., format="pinescript")
Step 3: Deploy Freqtrade
Agent: risk-assessor
Tools: graph_query, graph_analyze
Deploy to freqtrade in paper mode for validation. Tool: Route to freqtrade backend for dry-run.
Step 4: Share
Agent: report-generator
Tools: graph_write, document_tools
Publish to community strategy registry.
Tool: Route to agent-utilities strategy_sharing.py.
Step 5: KG Persistence [depends_on: share]
Agent: report-generator
Tools: graph_write
Persist workflow results as nodes and edges in the Knowledge Graph. Create appropriate typed nodes with metadata and link to existing domain entities.
Output
- Strategy Export results persisted in KG
- Structured report (MD/PDF)
- Audit trail with timestamps and agent attributions
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 — Select Strategy; Step 2 — Export; Step 3 — Deploy Freqtrade; Step 4 — Share
- After level 0: Step 5 — KG Persistence
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.