edge-concept-synthesizer

Synthesizing edge concepts from detector tickets involves clustering ticket evidence and summarizing recurring conditions to identify trading opportunities. The process outputs structured YAML files containing thesis, invalidation signals, and strategy playbooks for strategy development.

Edge concept synthesis is the process of structuring abstract trading strategies before design by extracting patterns from ticket data. It clusters evidence to generate a thesis, invalidation signals, and strategy playbooks, providing a structured foundation for further strategy development.

Run the synthesize_edge_concepts.py script via Python 3.9+ by passing the --tickets-dir argument pointing to your ticket YAML files, an optional --hints file, and an --output path to generate the edge_concepts.yaml file.

Yes, PyYAML and Python 3.9+ are required dependencies for running the synthesis script. The script relies on these environments to read input ticket YAML directories and properly parse and output the structured edge concept YAML files.

The synthesis generates an edge_concepts.yaml file containing structured trading data. This output includes the edge thesis, invalidation signals, and strategy playbooks needed to formalize opportunities extracted from large volumes of detector tickets.

Yes, the script is designed to process a large number of detector tickets and identify potential trading opportunities. It handles high volumes by clustering ticket evidence and summarizing recurring conditions into structured edge concepts.