edge-pipeline-orchestrator
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
By tradermonty · 1,972 installs
npx skills add tradermonty/claude-trading-skills --skill edge-pipeline-orchestrator
Source repository · Upstream listing
Edge Pipeline Orchestrator
Coordinate all edge research stages into a single automated pipeline run.
When to Use
Run the full edge pipeline from tickets (or OHLCV) to exported strategies
Resume a partially completed pipeline from the drafts stage
Review and revise existing strategy drafts with feedback loop
Dry run the pipeline to preview results without exporting
Workflow
1. Load pipeline configuration from CLI arguments
2. Run auto detect stage if from ohlcv is provided (generates tickets from raw OHLCV data)
3. Run hints stage to extract edge hints from market summary and anomalies
4. Run concepts stage to synthesize abstract edge concepts from tickets and hints
5. Run drafts stage to design strategy drafts from concepts
6. Run review revision feedback loop:
Review all drafts (max 2 iterations)
PASS verdicts accumulated; REJECT verdicts accumulated
REVISE verdicts trigger apply revisions and re review
Remaining REVISE after max iterations downgraded to research probe
7. Export eligible drafts (PASS + export ready v1 + exportable entry family)
8. Write pipeline run manifest.json with full execution trace
CLI Usage
Output
All artifacts are written to output dir :
Claude Code LLM Augmented Workflow
Run the LLM augmented pipeline entirely within Claude Code:
1. Run auto detect to produce market summary.json + anomalies.json
2. Claude Code analyzes data and generates edge hints
3. Save hints to a YAML file:
4. Run orchestrator with llm ideas file and promote hints :
Optional Flags
as of YYYY MM DD — forwarded to hints stage for date filtering
strict export — export eligible drafts with any warn finding get REVISE instead of PASS
max synthetic ratio N — cap synthetic tickets to N × real ticket count (floor: 3)
overlap threshold F — condition overlap threshold for concept deduplication (default: 0.75)
no dedup — disable concept deduplication
Note: llm ideas file and promote hints are effective only during full pipeline runs.
resume from drafts and review only skip hints/concepts stages, so these flags are ignored.
Resources
references/pipeline flow.md — Pipeline stages, data contracts, and architecture
references/revision loop rules.md — Review revision feedback loop rules and heuristics