edge-pipeline-orchestrator

To automate edge research, this pipeline orchestrates candidate detection, hint extraction, concept synthesis, and strategy design into a single end-to-end workflow. It manages data contracts between stages, automatically generating and refining trading strategies from raw data to production-ready code.

Developing quantitative trading strategies is handled by orchestrating a multi-stage edge research pipeline. It automatically extracts hints, synthesizes concepts, and runs iterative review-revision cycles to transform raw data into eligible, production-ready trading strategies.

Yes, you can run the full edge research pipeline from tickets using the command: python3 scripts/orchestrate_edge_pipeline.py --tickets-dir path/to/tickets/ --output-dir reports/edge_pipeline/. This command processes tickets and exports the generated strategy reports.

Iterative review and revision for strategy drafts works by facilitating a feedback loop that refines generated trading strategies. The pipeline automatically manages this cycle to ensure each strategy draft adheres to quality standards before exporting the final production-ready code.

No external dependencies or specific frameworks are required to run this edge research pipeline. It operates independently using included scripts and references to manage data contracts and orchestrate the complete strategy generation workflow.

You should not use an automated edge research pipeline when you need manual control over individual data processing stages or when your trading strategy development requires custom logic that cannot fit into the structured candidate detection, synthesis, and iterative review workflow.