DDS

Case study · Fintech

Volatility and liquidity engine on XAU/USD.

Generic market signals don't tell you how much real volatility and liquidity there is right now, or which way it leans. It needed a number, not an adjective, that holds up on unseen data.

Updated · by Davide De Sanctis

01Approach

A proprietary engine that fuses several families of market and macroeconomic data into continuous scores, for every timeframe from weekly down to one minute. Every score breaks down into the factors behind it. Deterministic and probabilistic layers stay separate, and every new hypothesis is validated on independent samples.

02Result

Trading bot based solely on these signals: 54% win rate at a 1.4:1 risk/reward ratio.

Signal-engine result, not financial advice. Private project: no replicable details.

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