AI Engine

The engineering
behind every order

Not a black box. These are the layers a decision passes through, from the moment data arrives to the moment an order is filled and closed.

A diagram of the Duvnok AI engine showing data sources and outputs including trade signals, risk analysis and portfolio allocation
The Duvnok dashboard on a laptop showing a candlestick chart, portfolio balance and an asset watchlist
Layer one

Data
ingestion

The engine pulls live data from more than forty venues and data sources: price action, order-book depth, traded volume, economic indicators and news flow.

Those streams are cleaned and time-aligned before any analysis runs. Late or contradictory data is discarded rather than passed through, because a signal built on a stale price is worse than no signal at all.

The layers

Six functions
running in sequence

Market tone reading

Language analysis across headlines, filings and specialist channels, turning general tone into a comparable numeric indicator.

Pattern recognition

Models trained on years of price data flag formations that preceded similar moves, each scored for how closely it matches.

Risk modelling

Before any order, the worst plausible case and the appropriate position size are computed. If it breaches your stated cap, the position is never opened.

Order routing

Venue selection and, where needed, splitting an order into tranches to reduce slippage in thinner markets.

Continuous learning

Each trade's outcome is compared against the forecast that triggered it, and the gap is used to recalibrate model weights periodically.

Human oversight

A risk team reviews model behaviour weekly and holds authority to halt any strategy immediately if it moves outside its expected range.

A sealed digital vault bearing the Duvnok name, a rising emerald chart glowing inside it
Execution

Execution
and protection

Between the decision and the market, every order passes a final check: is the price still inside the assumed range, and would the new position breach the risk ceiling? If the answer is no, the order is cancelled rather than adjusted.

Every order is logged with its reason, its timestamp and its fill price, and that log stays exportable at any time. This is what makes performance reviewable instead of a matter of trust.

Let the system
work while you sleep

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