Transaction AI — An interface for analyzing real-time financial data

Data-driven decisions, with measurable predictive accuracy

صفقة AI analyzes real-time market data and issues clear investment recommendations. Military-grade encryption and full regulatory compliance with Saudi authorities are built into the architecture, not added later.

AES-256 encryption Compliant with SAMA requirements Compliant with CITC regulations Real-time data processing
Look at the platform

Every indicator you see is the product of a constantly running predictive model

There are no cosmetic panels in صفقة AI. Each number is derived from processing live data, and each recommendation is linked to its source.

4.2 seconds
Average processing time for one batch of data
180+
A market variable is analyzed for each recommendation
24/7
Continuous monitoring of portfolio fluctuations
AES-256
The encryption standard applied to all data
  • 01

    Multilayer predictive models

    The platform integrates price data, liquidity and sentiment indicators into a single model, reducing reliance on a single data source.

  • 02

    Real-time processing to reduce volatility

    Recommendations are updated for every fundamental change in the market, reducing the time gap between event and decision.

  • 03

    Customize by risk profile

    The system adjusts the sensitivity of recommendations based on the investment horizon and pre-determined risk tolerance level.

Live data feed
Financial sector volatility index+1.8%
Market liquidity — current sessionMedium
News sentiment (last hour)Neutral
Model confidence level82/100
Latest update of recommendation38 seconds ago
Security and regulatory compliance

A security architecture built around the requirements of the Saudi market

Here we present the technical specifications as is, without marketing simplification.

itemSpecification
Encrypt data during storageAES-256
Data encryption during transmissionTLS 1.3
Key managementPeriodic recycling + environmental insulation
Access logsFull audit of every retrieval process
Data storage locationData centers inside the Kingdom
BackupEvery 6 hours
  • Compliance with cybersecurity controls issued by the Saudi Arabian Monetary Agency (SAMA)
  • Compliance with CITC data protection requirements
  • Separate customer data from test and development environments
  • Periodic review of access policies and user permissions

Distributed processing architecture

Data passes through three separate layers: the reception and verification layer, the processing and modeling layer, and the recommendation output layer. Each layer is network-isolated from the others, so that a defect in one layer does not affect the integrity of the other layers.

Practical use cases

From raw data to actionable decision

Three common scenarios for professionals looking to diversify their sources of income through investment.

Portfolio optimization

Reallocate assets based on changing risks

The system constantly analyzes the correlation of assets within the portfolio. When the correlation between two assets rises above a certain threshold, the system proposes a reallocation that reduces the concentrated exposure.

Entrance: Current wallet data Director: Redistribution recommendation ranked by priority
Market sentiment analysis

Measure the impact of news on the decision before making it

The system processes published news and financial reports and converts them into a numerical sentiment score. This score is combined with price indicators to avoid decisions based on an immediate reaction to the news.

Entrance: Streaming news and reports Director: Sentiment score linked to the asset
Risk assessment framework

Determine the acceptable loss ceiling before entering into a position

Before executing any recommendation, the system calculates a possible worst-case scenario based on the asset's historical volatility, and displays it alongside the recommendation instead of hiding it.

Entrance: Historical volatility data Director: Expected loss range for each scenario
AI Deal — Data analysis team while reviewing forecasting models
About the way we work

An analysis model built for professional use, not just for display

صفقة AI is designed for a user who needs speed of resolution without compromising accuracy. Every recommendation is accompanied by its data source, and every change to the model is documented and reviewable.

The technical team periodically reviews the performance of the models, and adjusts the weights of the variables when a deviation in forecast accuracy from what is expected is detected.

methodology

How the recommendation reaches you: Three clear steps

There is no "black box" in صفقة AI. Every step in the processing is documented and traceable.

1

Data assimilation

The system collects price, liquidity and news data from multiple sources, and checks its consistency before passing it on for processing.

2

Form processing

The data is run through predictive models trained on historical patterns, with weights updated based on recent performance.

3

Recommendation output

The model results are translated into a clear recommendation, accompanied by a confidence score and expected risk range.

Prices

Direct pricing with no hidden fees

Choose the appropriate level for your portfolio size and frequency of use of recommendations.

Advantage Essential Professional institutional
Monthly price (Saudi riyals) 299 899 Contact us
Number of daily recommendations 10 50 Unlimited
Real-time data update — ✓ ✓
Detailed risk assessment report — ✓ ✓
API access — — ✓
Dedicated technical support — ✓ ✓

Prices are before VAT. There are no additional subscription fees or hidden costs.

Start analyzing today

Enter your email and our team will contact you to set up your account within one business day.