01 / ASSETS
Asset-Class Architecture
Map the required product universe, sessions, symbol conventions and contract specifications.
Multi-Asset Brokerage
Technology Infrastructure for Multi-Asset Brokers
Coordinate platform, pricing, execution and operational systems across multiple asset classes without treating each product line as an isolated technology stack.
MT4 / MT5Platform infrastructure
Multi-assetData and connectivity
GlobalTechnical delivery
ModularArchitecture by requirement
Architecture
Build each layer for a clear operating purpose.
Technology choices become more reliable when dependencies and ownership are designed up front.
02 / PLATFORM
Platform Strategy
Select platform capabilities around the target market structure and client experience.
03 / DATA
Data Coverage
Plan supported pricing sources, normalization and distribution across asset classes.
04 / EXECUTION
Execution Topology
Connect supported downstream execution venues and routing workflows where required.
05 / CLIENT
Unified Client Operations
Coordinate account, funding, support and reporting workflows across product lines.
06 / SCALE
Operational Scalability
Design monitoring, access and change control for a broader, more complex brokerage stack.
Implementation principles
Design the interfaces, not only the products.
Map dependencies
Document how platform, data, execution, client systems and infrastructure depend on each other.
Define ownership
Make production access, monitoring, change control and escalation responsibilities explicit.
Validate production flows
Test business-critical workflows and failure scenarios before relying on them in live operations.
FAQ
Common questions.
What makes multi-asset infrastructure more complex?
A broader product universe increases requirements around market data, symbol configuration, sessions, execution connectivity and operational coordination.
Is MT5 suitable for multi-asset brokerage?
MT5 is positioned for broader multi-asset use, but the final architecture should be matched to the target instruments and integrations.
Can different data sources be used for different asset classes?
Yes, where supported. Source selection and normalization can be structured around the required coverage and downstream platform needs.
Can client operations stay unified across asset classes?
A properly integrated CRM and back-office layer can help keep client and account workflows consistent across different product lines.
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