New Trade AI

New Trade, an AI-driven trading platform, is designed to make trading smarter, faster, and more accessible for all users. With features like Agentic Charting, Smart Alerts, and customizable AI Trading Agents, it helps traders turn complex market data into clear, actionable insights. Often described as the “GPT of Trading,” it delivers adaptive intelligence and real-time accuracy.
To overcome inefficiencies, New Trade partnered with us to modernize its platform. We redesigned the interface into a sleek, intuitive, and engaging experience while consolidating fragmented backend handlers into a single lightweight LLM Handler, boosting speed, scalability, and reliability. These improvements reduced API response time by 60% and increased platform reliability to 99.9% uptime, enabling New Trade to deliver AI-powered trading solutions with real-time accuracy.

The Challenges

New Trade's platform was facing critical issues that affected both usability and backend performance. The interface was outdated and unresponsive, leading to slow interactions, poor navigation, and friction in completing core tasks. On the backend, large language models (LLMs) such as OpenAI GenAI were integrated in a fragmented and non-standard way, with duplicated logic across multiple pages that increased costs and reduced efficiency. This lack of centralized control resulted in inconsistent performance and made the system difficult to scale and manage. Additionally, redundant LLM calls drove up operational expenses, and there was no intelligent mechanism to optimize model usage based on context or user needs. To overcome these challenges, New Trade sought a modern, scalable, and cost-efficient solution that could deliver a seamless user experience while ensuring backend reliability and performance.

The Solution

UI/UX Enhancements

We redesigned New Trade's entire interface with a modern, visually engaging, and intuitive layout aligned with global design standards. The updated design introduced clear navigation patterns, consistent visuals, and improved workflows that eliminated user friction. Additionally, the platform was made fully responsive across desktop, tablet, and mobile devices, ensuring seamless performance regardless of how users accessed the system.

Standardized LLM Integration

On the backend, we addressed inefficiencies by replacing the fragmented setup with a centralized Light LLM Handler. This single handler standardized all LLM-related operations, eliminated duplication across multiple pages, and created a cleaner, more maintainable codebase. By streamlining communication with OpenAI GenAI and other LLMs, the platform became significantly more reliable, scalable, and easier to manage.

Resource Optimization and Cost Savings

To further enhance efficiency, we implemented intelligent resource management strategies. These included reducing unnecessary token consumption, consolidating LLM usage, and introducing smart model selection based on context, model IQ, and user subscription balances. This approach not only optimized performance but also delivered substantial cost savings while maintaining consistently high-quality outputs.

The Approach

We modernized New Trade AI's user interface using responsive design principles, implemented a centralized Light LLM Handler to streamline backend operations, and optimized resource usage to reduce costs by 35%. This approach delivered a seamless user experience while ensuring scalable, reliable, and cost-efficient AI-driven trading solutions.

The Outcome

The improvements resulted in a faster, more reliable, and cost-efficient trading platform:

Enhanced User Experience

The modernized interface delivered a seamless user experience across devices, with improved navigation, faster interactions, and intuitive workflows that eliminated user friction and made trading more accessible to users of all experience levels.

Improved Backend Performance

The centralized Light LLM Handler significantly reduced response times and improved scalability, creating a more reliable and maintainable system that could handle increased loads and complex operations efficiently.

Cost Optimization

Intelligent resource optimization cut unnecessary costs without compromising quality, positioning New Trade as a smarter and more accessible AI-driven trading solution while maintaining consistently high-quality outputs and reducing operational expenses.

For New Trade AI, we put together a robust digital strategy

Testimonial

“Working with TPLEX delivered measurable results for our AI trading platform. Their expertise in modern UI/UX design and backend optimization helped us reduce API response times by 60% and achieve 99.9% uptime, creating a seamless, cost-efficient solution that handles 10K+ daily active users with sub-2s load times while maintaining high performance standards.”

CEO of New Trade AI

An Ongoing Partnership

The successful transformation of New Trade AI has established an ongoing partnership between their team and TPLEX. We continue to provide technical support and optimization, reducing downtime by 40% and maintaining 99.9% uptime. This collaboration drives continuous enhancements, empowering New Trade to deliver smarter insights, handle increasing user loads efficiently, and reduce operational costs by 35%. Together, we are committed to shaping the future of intelligent trading platforms.

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