The problem
Markets move on narratives — tariff fears, rate cut expectations, AI hype cycles — but most investors track them through scattered news feeds, social media, and gut feelings. By the time a narrative reaches mainstream awareness, the trade is often crowded or over.
Our approach
Narratick quantifies what was previously subjective. We ingest data from 100+ sources — institutional news, central bank releases, prediction markets, social media, SEC filings, and international outlets — then score each narrative across twelve weighted dimensions. No manual tuning, no opinion-driven scoring.
Fundamentals are a dimension, not an afterthought
For every ticker a narrative touches we read the underlying filings and earnings — margins, guidance, leverage, free cash flow, dividends — and fold the shifts straight into the score. A macro story only earns conviction when it is showing up on the income statement, so you are acting on what the numbers confirm, not just on headline sentiment.
Point-in-time history
Every state transition is a timestamped event — a point-in-time history of which narrative was strong, when, and what moved it. That history is the spine of the track record: outcomes are scored against what the engine actually said at the time, not against a backfilled view of it.
Graded in public, against the market
Every call locks in the price at the moment it is made and is graded only against what happened afterwards, at 1-day, 1-week, 1-month and 3-month horizons. Returns are quoted net of the closest comparison to that stock — the narrative's own basket, then the stock's sector, and the S&P 500 only when neither exists — because calling 'up' in a rising market is not skill, and every figure carries a confidence range that narrows as the sample grows. The accuracy figures measure direction and calibration — they do not subtract trading costs, and we say so on the page that explains them.