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Methodology

Decifer intelligence is built from real market signals, not opinion. Here is how the read you see is put together.

The signal engine

Every name we track is scored across many independent dimensions, each measuring something genuinely different about a setup: trend, momentum, volatility compression, money flow, breakouts, the drift after an earnings surprise, news, short-squeeze pressure, mean reversion, and overnight behaviour. Scores measure the strength of a setup on its own terms, separately from whether the move is up or down.

Forces and themes

We map the market as a set of structural themes, like artificial intelligence infrastructure, defence, or energy, and the forces that drive them. A force only shows as active when live prices confirm it, and we surface the case against it as well as the case for it.

Where the data comes from

  • Live prices, volume, and historical bars from market data providers.
  • Fundamentals, analyst views, earnings, and filings from financial data providers.
  • News and headlines from public market news feeds.

Decifer does not invent numbers. When a source is missing or stale, we say so rather than filling the gap with a guess.

Data freshness

Intelligence is refreshed roughly every five minutes during market hours. Outside of market hours, you are looking at the last completed read, and the app labels it as such. The freshness indicator in the header always tells you how current the view is.

Honest limits

No signal is perfect, and markets are uncertain by nature. Decifer is a tool for understanding, not a crystal ball. Use it to inform your own thinking, never as a substitute for it.