As part of its overall goal to expand decentralized network efficiency and improve the DeFi user experience, TradingRazor, an AI-powered signal analysis platform that addresses the needs of multi-chain traders, today announced a strategic partnership with GamePad.co, an AI-native runtime infrastructure designed to provide DeFi platforms and AI agents with continuous computing power and execution environment. This partnership allowed TradingRazor to integrate with GamePad.co’s runtime infrastructure to create a better, more reliable, and higher-performing decentralized network to effectively serve DeFi traders.
TradingRazor is an AI-native trading decision platform that enables DeFi multi-chain traders and investors to trade quickly in dynamic market conditions. The on-chain analytics provide users with real-time intelligence, allowing them to interpret DeFi market data and respond to signals more efficiently than traditional manual analytics, with TradingRazor’s AI agents helping to manage complex tasks on behalf of clients.
Enabling the next phase of on-chain trading ⚡️@TradingRazor 🤝 @GamePad_co
By integrating smart execution and scalable runtime infrastructure, we unlock faster strategies, more stable performance, and continuous alpha capture across all markets.
From signal to execution. pic.twitter.com/IFVM420uMH
– TradingRazor (@TradingRazor) April 28, 2026
Why this collaboration is important for TradingRazor
The above integration means that Gamepad.co’s runtime infrastructure provides TradingRazor with computing resources and the execution environment necessary to address blockchain scalability issues and keep the DeFi analytics network functioning reliably and continuously. GamePad.co is a Web3 smart execution and runtime infrastructure designed for DeFi, AI Agents and trading systems, providing them with execution efficiency, computing power and system stability.
Based on the above partnership, Gamepad TradingRazor’s infrastructure provides continuous computing power and intelligent planning, allowing the DeFi analytics platform to evolve from static smart contracts to a long-term, adaptive DeFi system. The integration means that GamePad’s runtime infrastructure abstracts distributed computing on TradingRazor, and as a result unifies agent and AI execution on the analytics platform into long-standing (continuous) execution units.
This implies that advanced financial strategies on TradingRazor’s trading platform are no longer limited to one-time, passively triggered smart contract logic. Instead, this upgrade means that smart contracts on the TradingRazor platform can now continuously make decisions and proactively plan actions based on on-chain feedback and market conditions, running on Gamepad’s stable computing environment.
Promoting innovation and stability in Web3
The partnership between TradingRazor and GamePad.co highlights this compelling fact that decentralized platforms require an infrastructure that can function continuously. Traditional smart contracts are optimized for deterministic, one-time execution. On-chain systems, including smart contracts, AI models, etc., require continuous computing availability, a stable execution environment, and long-term state persistence. Without these, on-chain systems remain vulnerable and disposable.
The above collaboration solves this problem, with the integration of Gamepad’s smart execution infrastructure providing a schedulable, long-running runtime environment where TradingRazor’s on-chain systems can now operate efficiently, adapt and persist. This allows smart contracts, AI models and on-chain systems to function as sustainable contributors, not short-lived bots.