Analytics

Analytics is the foundational analytics engine of the Orb platform, designed to process trading and operational data at scale and in real time.
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Engineered as a high-performance data core rather than a reporting layer, it ingests data from multiple sources, computes metrics continuously, and captures point-in-time snapshots. This provides brokers with a reliable, consistent analytics foundation that supports decision-making across trading, risk, and operations.

Data processing system analysing trading activity and platform performance across broker trading infrastructure.

High-performance analytics engine

Built to handle large volumes of trading data with low latency, supporting real operational use rather than static reporting.

Real-time intelligence at scale

Processes live data continuously, enabling timely insight across broker operations.

Single source of truth

Consolidates trading and operational data into one consistent analytics layer.

Time-aware data architecture

Captures point-in-time snapshots to ensure historical accuracy and traceability.

Data-driven by design

Metrics and outputs are derived from structured data processing, not manual interpretation.

Built to grow with operations

Scales from early deployments to enterprise-level data volumes without re-architecture.

High-performance analytics engine

Built to handle large volumes of trading data with low latency, supporting real operational use rather than static reporting.

Real-time intelligence at scale

Processes live data continuously, enabling timely insight across broker operations.

Single source of truth

Consolidates trading and operational data into one consistent analytics layer.

Time-aware data architecture

Captures point-in-time snapshots to ensure historical accuracy and traceability.

Data-driven by design

Metrics and outputs are derived from structured data processing, not manual interpretation.

Built to grow with operations

Scales from early deployments to enterprise-level data volumes without re-architecture.

High-performance analytics engine

Built to handle large volumes of trading data with low latency, supporting real operational use rather than static reporting.

Real-time intelligence at scale

Processes live data continuously, enabling timely insight across broker operations.

Single source of truth

Consolidates trading and operational data into one consistent analytics layer.

Time-aware data architecture

Captures point-in-time snapshots to ensure historical accuracy and traceability.

Data-driven by design

Metrics and outputs are derived from structured data processing, not manual interpretation.

Built to grow with operations

Scales from early deployments to enterprise-level data volumes without re-architecture.

Structure your broker technology with clarity, control, and resilience

Contact Radius to begin a structured discussion about your operational architecture.

Key Capabilities

Real-time data ingestion

Ingests and processes trading and operational data continuously from multiple sources.

Core metric computation

Calculates a wide range of core metrics that form the basis for advanced analytics.

Point-in-time snapshots

Maintains historical states of data to support audits, reviews, and historical analysis.

Multi-currency normalisation

Normalises data across currencies to enable consistent analytics and comparison.

Extensible analytics layer

Provides a foundation on which additional analytics and intelligence layers can be built.

Flexible deployment options

Supports deployment across cloud, on-prem, or hybrid environments while preserving data control.

Have Questions?

We’ve got answers.

1. What is Analytics within the Radius Analytics & Intelligence ecosystem?

Core Analytics provides brokers with structured visibility into their trading and operational data. Powered by the Radius Orb platform, it allows brokers to analyse trading activity, operational performance, and key business metrics in a unified environment designed specifically for financial industry data.

2. What types of data can Analytics analyse?

Core Analytics can process and analyse data from multiple sources commonly used in broker environments. These may include trading platforms such as MT4 and MT5, CRM systems, liquidity provider data, bridge technologies, and internal operational databases. By consolidating these sources, brokers can analyse their operations through a single analytics environment.

3. How does Analytics help brokers understand their operations?

Core Analytics enables brokers to monitor trading activity, evaluate performance metrics, analyse trading behaviour, and track operational indicators across their environments. These insights help brokers better understand how their trading infrastructure and business operations are performing over time.

4. How is Analytics different from other analytics solutions in this category?

Core Analytics provides the foundational analytics layer for broker operations. Other solutions within the Analytics & Intelligence category focus on specialised areas such as regulatory reporting, risk monitoring, or automated alerts. Core Analytics instead focuses on delivering broad operational visibility across the broker’s trading environment.

5. How does the Orb platform support Analytics capabilities?

The Radius Orb platform acts as the data processing engine behind Core Analytics. Orb enables high-speed analysis of operational and trading data across multiple systems, allowing brokers to build dashboards, analyse key metrics, and expand their analytics capabilities as their operational requirements evolve.

More Analytics

Structured bundles align our ecosystem with each stage of broker evolution.