edge-pipeline-orchestrator

1# Edge Pipeline Orchestrator
2 
3Coordinate all edge research stages into a single automated pipeline run.
4 
5## When to Use
6 
7- Run the full edge pipeline from tickets (or OHLCV) to exported strategies
8- Resume a partially completed pipeline from the drafts stage
9- Review and revise existing strategy drafts with feedback loop
10- Dry-run the pipeline to preview results without exporting
11 
12## Workflow
13 
141. Load pipeline configuration from CLI arguments
152. Run auto_detect stage if --from-ohlcv is provided (generates tickets from raw OHLCV data)
163. Run hints stage to extract edge hints from market summary and anomalies
174. Run concepts stage to synthesize abstract edge concepts from tickets and hints
185. Run drafts stage to design strategy drafts from concepts
196. Run review-revision feedback loop:
20   - Review all drafts (max 2 iterations)
21   - PASS verdicts accumulated; REJECT verdicts accumulated
22   - REVISE verdicts trigger apply_revisions and re-review
23   - Remaining REVISE after max iterations downgraded to research_probe
247. Export eligible drafts (PASS + export_ready_v1 + exportable entry_family)
258. Write pipeline_run_manifest.json with full execution trace
26 
27## CLI Usage
28 
29```bash
30# Full pipeline from tickets
31python3 scripts/orchestrate_edge_pipeline.py \
32  --tickets-dir path/to/tickets/ \
33  --output-dir reports/edge_pipeline/
34 
35# Full pipeline from OHLCV
36python3 scripts/orchestrate_edge_pipeline.py \
37  --from-ohlcv path/to/ohlcv.csv \
38  --output-dir reports/edge_pipeline/
39…