Trade Journal Analysis Workflow
Compose the named atomic skills without adding new journaling logic here.
Inputs
Provide the strategy definition, asset universe, and execution window.
Steps
Step 0: freqtrade-executor [skill: freqtrade-executor]
Invoke $freqtrade-executor with the workflow inputs to paper-trade
the strategy and produce a trade execution log.
Expected: trade_execution_log
Step 1: dataset-profiler [skill: dataset-profiler] [depends_on: Step 0]
Invoke $dataset-profiler with trade_execution_log to produce a
structural and statistical profile.
Expected: trade_journal_profile
Output
Return trade_execution_log and trade_journal_profile. Only paper-trades;
never places live orders.
Execution
- Run first: Step 0 —
$freqtrade-executor. - After level 0: Step 1 —
$dataset-profiler.
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.