Case Study: Forex Forest achieves 70% lower algorithmic trading costs with Amazon Web Services

Forex Forest Lowers Cost of Algorithmic Trading by 70% Using AWS

Forex Forest, an automated trading education company, was struggling to scale its algorithmic trading and machine learning operations cost-effectively while preparing for global growth. To meet rising demand for AI-based trading skills, it migrated its on-premises infrastructure to Amazon Web Services (AWS), including support from AWS Professional Services and services such as Amazon EC2 Auto Scaling, Amazon Aurora, AWS Security Hub, and AWS WAF.

With Amazon Web Services, Forex Forest built a more secure, scalable cloud environment and improved ML development efficiency. The company cut VPS costs by 70%, can support tens of thousands of students across separate trading environments, and now runs its global IT with just 5–7 engineers in a central location. AWS also helped reduce ML model completion time from weeks to just a couple of days.

Forex Forest

Jimmy Kwok

Chief Technology Officer