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MT5 Cryptocurrency Indicator with AWS Data Pipeline Integration

saigontechnology.com

Financial services

Information technology

Cryptocurrency

Legacy Trading Platform Modernization Challenges

Outdated MT5 source code requiring C++ wrapper development, inefficient AWS Glue data transformation processes, massive tick data storage optimization needs, and authentication integration challenges for trading applications

About the Client

Global cryptocurrency trading platform requiring real-time market data visualization and analytics

Modernization and Optimization Goals

Develop specialized MT5 indicator for cryptocurrency trading
Implement efficient tick data ingestion pipeline
Optimize cloud storage costs for high-volume market data
Ensure secure authentication for trading applications
Improve query performance for real-time charting

Core System Capabilities

MT5 indicator for charting cryptocurrency prices
Tick data ingestion from Trading Center
AWS S3 data lake storage with lifecycle policies
AWS Glue data transformation pipeline
API Gateway integration for data retrieval
Amazon Aurora database for time-series data
Cognito-based authentication system
Excel file data processing capability

Technology Stack

C++ with .NET Framework

AWS API Gateway

AWS S3 with Glacier tiering

Amazon Aurora with caching

AWS Cognito

Python Lambda scripts

System Integrations

MetaTrader 5 platform
Trading Center data feeds
Microsoft Excel processing
Cloud monitoring tools

Operational Requirements

High-throughput data ingestion pipeline
Low-latency charting capabilities
Automated data lifecycle management
Enterprise-grade security controls
Horizontal scaling for data volume growth
ISO-compliant quality management

Business Value Proposition

Enables real-time cryptocurrency market analysis with 70% reduced storage costs through intelligent data tiering, supports 10x data volume growth with automated processing pipelines, and maintains secure trading operations through integrated authentication while improving charting performance by 40% through database caching