From raw data
to a reading you use.

Trades, order book, price, volume, component stock quotes and macroeconomic indicators come in continuously. Before becoming a reading, the data goes through normalisation and consistency checks.

When a source becomes unavailable, the platform signals the state instead of filling the gap.

Flow, price structure, liquidity, stock weighting and macro context are measured separately, each by the tool designed for that question. None of them sees the whole market on its own.

Measuring separately is what makes comparing possible afterwards.

This is where Miura differs from a set of indicators. Measurements are compared against each other and across time windows: does aggression match displacement? Is the index rising with the stocks that carry weight, or in spite of them?

Divergence is not discarded. It is surfaced, because a market in contradiction is important information.

The output is a short synthesis — direction, control, confidence — that anyone can read. Underneath it sit the numbers, the cycles and the evidence, for whoever wants to check.

The synthesis never replaces the data. It is a shortcut to reach it.

The execution layer is separate from the intelligence layer and entirely optional. The architecture is prepared for external providers; today the workspace runs in simulator mode.

The intelligence works in full with no account connected.