Majid Geravand
Project Goal:
Develop and deploy a robust, scalable, and secure Software-as-a-Service (SaaS) platform for high-frequency trading (HFT) that leverages advanced artificial intelligence (AI) algorithms to execute trades at ultra-low latency.
Platform Features:
Real-time market data ingestion and processing: Efficiently capture and analyze market data from multiple exchanges.
AI-driven predictive modeling: Employ machine learning techniques to identify trading opportunities and predict market trends.
Low-latency execution: Optimize trade execution speed through advanced algorithms and high-performance computing infrastructure.
Scalable cloud architecture: Design a flexible and scalable platform to accommodate a growing user base and trading volumes.
Cybersecurity: Implement stringent security measures to safeguard sensitive financial data.
Target Market:
Hedge funds, proprietary trading firms, and institutional investors seek to gain a competitive advantage through algorithmic trading and high-frequency execution.