The intelligence behind every trade
The Wuzmiq engine works in a clear sequence: it captures market data, interprets it, turns it into a considered decision and then acts on that decision within the risk limits you set. Here is how the stages fit together.
From raw data to a clear decision
The diagram traces how information moves through the engine: multiple sources flow in on one side, and actionable decisions flow out on the other.
Inputs
- Market data and price feeds: live prices and traded volumes from multiple venues.
- News and sentiment: automated reading of headlines and reports to gauge the mood of the market.
- Economic indicators: inflation, interest rates and growth data, and the way they move asset prices.
- Order-book depth: bid and ask levels that reveal where liquidity is concentrated.
Outputs
- Trade signals: buy, sell or hold, each carrying a confidence score.
- Risk analysis: value-at-risk (VaR) estimates and stress tests before any position is opened.
- Portfolio allocation: suggested asset weightings that respect your risk ceiling.
These outputs connect directly to the broker API and to the exchanges where orders are placed, and every step is logged in the reporting layer so you can review it whenever you wish.
Clean data before any analysis
The engine draws price feeds from dozens of global trading venues, together with order books, derivatives data and macroeconomic indicators.
Before anything reaches the models, outliers are filtered out and timestamps are aligned precisely — a signal built on noisy data is more dangerous than no signal at all. The end result appears on your dashboard as clear signals and a balance kept up to date in Saudi riyals.
Six capabilities working in concert
Each capability has a defined role, and together they give the engine a sharper read of the market and tighter discipline in execution.
Sentiment analysis
The engine parses the language of headlines, central-bank statements and official reports, weighting each source by the price impact it has had in the past.
Pattern detection
Neural networks scan price structure across multiple timeframes, from minutes to weeks, flagging formations that have historically come before confirmed moves.
Risk modelling
Thousands of Monte Carlo scenarios measure the potential loss on every proposed position before it is released for execution.
Smart order routing
Large orders are divided across several venues to limit slippage, and the lowest-cost route is chosen at the very instant of execution.
Continuous learning
The engine re-evaluates positions every 60 minutes, and the models are recalibrated regularly on fresh market data so they never stay anchored to conditions that have passed.
Human oversight
The engine never runs unsupervised: quantitative analysts review its output daily and have the final say in suspending any strategy that strays from its risk controls.
Fast execution, rigorous protection
Our servers run in data centres close to the major liquidity hubs, delivering an average execution time of 3.1 milliseconds and 99.96% platform uptime.
Every order also passes through the Auto-Guard Stop: if your exposure breaches the ceiling you have set, the position is trimmed or closed in full without waiting for your input.
Your data and assets sit behind several layers of defence: SSL/TLS 256-bit encryption, two-factor authentication, 95% of digital assets held in cold storage and independent penetration tests every three months.
Put the engine to work on your goals
Activate your account with a starting deposit from SAR 1,000 and let the Wuzmiq engine read the market and execute trades within the risk limits you choose.
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