MaxQuant Cuts Costs and Boosts Efficiency with AWS AI

London — Quantitative trading firm MaxQuant has dramatically streamlined its operations by adopting Amazon Bedrock AgentCore and other AWS services, reducing development cycles and cutting costs significantly.

Key Achievements:

• Development Speed: Core module development time dropped from 4 weeks to 1 week, with the entire project completing in 1 month—far ahead of the initial 12-month estimate.
• Cost Savings: Team size reduced from 8–10 to 2–3 members, saving $3 million in human resource costs. Infrastructure expenses were slashed by 80% thanks to pay-as-you-go billing.
• Enhanced Capabilities: The new system improves data parsing, strategy backtesting, customer profiling, and portfolio optimization for quantitative trading.

Industry Recognition

At a recent MaxQuant community gathering in London, traders and strategists expressed strong interest in the system, citing its technical breakthroughs and financial value. AWS's security and compliance measures further bolstered trust in the financial sector.

Future Vision

Zhang Weitong of MaxQuant highlighted the potential of Agentic Trader, an autonomous system capable of executing trades faster and more efficiently than humans. The firm aims to expand its AI applications into cross-asset portfolios, covering stocks, options, and digital assets like real-world assets (RWAs).

MaxQuant plans to continue collaborating with AWS to refine AgentCore and pioneer multi-agent solutions in finance, aligning with its mission to build a "one-stop AI-powered quantitative trading system."