Narratick

About Narratick

One engine that turns the messy surface of markets — news, social, prediction markets, filings, macro data — into a stream of narratives with explicit state, direction, and ticker exposure. Built for active investors, financial advisors, and quant teams.

Patent pending

How it works

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.

Who it is for

Active investors

A daily companion that turns the firehose — news, social, prediction markets, filings — into a short list of stories actually moving your watchlist.

Advisors and RIAs

Walk into client conversations with context rather than headlines. Narrative state and outcome history give you something to point at when the question is “what happened today?”

Funds and data teams

The same state transitions and prediction-market divergence signal as the app, planned as an API and Parquet drop with point-in-time history and a schema you can backtest on. In development — design partners first.

Where the data comes from

Government & Regulatory

SEC EDGAR, CFTC (Commitments of Traders), FINRA RegSHO (Short Volume), FINRA Short Interest (Semi-monthly), USAspending.gov, Treasury TIC, Federal Reserve

Prediction Markets

CBOE Put/Call Ratio, Polymarket, Kalshi

Tier 1 — Institutional

OpenFIGI, The Economist

Full methodology and per-source detail

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