Narrative Tracker

Crypto narrative analysis is automated by scoring mindshare, velocity, phase, and sentiment to produce a daily decision memo. The tracker monitors cached search narratives and applies web triangulation to map rising, peaking, or fading trends.

Narrative mindshare scoring assigns quantitative metrics like mindshare (1-5), velocity, and phase to crypto trends. It extracts named drivers and outputs explicit position calls like FRONT-RUN, RIDE, FADE, or WATCH to classify market narratives.

Tracking narrative transitions involves reading prior memory logs to detect NEW, PROMOTED, DEMOTED, or DEAD statuses. The tracker merges near-duplicate narratives and flags reflexivity cases where narratives move outcomes rather than describing them.

Automated reporting for crypto narratives uses a 3-day lookback window to triangulate web search data. It generates structured daily logs with sentiment scores and named drivers to prevent duplicate reporting through memory-aware deduplication.

Narrative analysis requires reading prior memory logs and structured outputs to avoid duplicate reporting. The tracker uses memory-aware deduplication to merge near-duplicate narratives and detect transitions across daily unattended monitoring workflows.

Automated trend monitoring is limited to a 3-day prior window using cached search narratives and supplemental web triangulation. It relies on structured memory logs for deduplication and requires daily execution to accurately detect narrative transitions.