Signal Processing & Normalization Pipeline

Designed a processing layer that transforms raw, unstructured signal data into a standardized format using LLM-based parsing. This includes extracting key fields such as ticker, entry price, target, stoploss, and trade type from inconsistent natural language inputs. The system ensures all downstream components receive clean, structured, and actionable data regardless of source complexity.