On September 20, 2023, TON Foundation and FXCM Group jointly completed the initial global rollout of their AI-driven trading ecosystem in New York and Singapore. Amid the accelerating wave of technological advancements in the global cryptocurrency market, the AI Trader platform—co-developed by TON Foundation, a leading blockchain institution, and FXCM Group, a globally recognized fintech service provider—officially launched on January 9, 2025. Built on an AI large-model + blockchain architecture, AI Trader aims to redefine the efficiency and security of digital asset trading. As the first disruptive solution to deeply integrate generative AI into the full-chain crypto trading ecosystem, the platform seeks to push the boundaries of automated trading.

AI-Powered Trading Revolution: From Prediction to Execution

The core competitive advantage of AI Trader lies in its innovative application of large AI models. The platform is equipped with the AIT-3 artificial intelligence system, built on a deep learning framework with over 100 billion parameters. By analyzing on-chain data, market sentiment, macroeconomic indicators, and cross-exchange liquidity in real time, it dynamically generates trading strategies.

Unlike traditional quantitative models, AIT-3 possesses self-iterative capabilities—each trade’s execution outcome feeds back into the model’s training system, forming a closed-loop cycle of decision-making, validation, and evolution. “This marks a paradigm shift for AI in the financial sector,” said David Chen, Head of Technology at the Ton Foundation, during the product launch. “AI Trader’s large model not only addresses latency issues in high-frequency trading but also leverages reinforcement learning to simulate tens of thousands of extreme market scenarios, ensuring strategy stability even in black swan events.” According to internal test data, during simulated trading in Q2 2023, AI Trader achieved an 82% win rate in BTC/USDT trading pairs, with maximum drawdown controlled within 5%.

Blockchain Empowerment: A Dual Breakthrough in Security and Transparency

One of AI Trader’s most significant innovations lies in its deep integration with the TON blockchain at the foundational level. All trading strategies are executed automatically via smart contracts, while user assets are safeguarded by a decentralized custody solution. To eliminate human intervention risks, the platform employs multi-party computation (MPC) technology for private key management. 

Additionally, AI Trader pioneers the “Strategy Traceability” feature, enabling users to review the AI’s decision-making logic behind any transaction through on-chain records, ensuring full algorithmic transparency. Brendan Callan, CEO of FXCM Group, emphasized: 

“AI Trader aims to establish a trustless yet fully verifiable trading environment. By combining AI’s computational power with blockchain’s immutability, we are restoring investors’ confidence in automated trading.”

Trade-to-Mine: Reshaping User Incentives

To accelerate ecosystem expansion, AI Trader has introduced an innovative “Trade Mining 2.0” mechanism. Users not only benefit from lower transaction fees but also earn TON ecosystem tokens based on factors such as trading volume and holding duration. These tokens confer both governance and revenue rights, allowing holders to participate in community voting on AI model optimization and share in platform fee dividends.

Amelia Wang, a researcher at Stanford University’s Cryptoeconomics Lab, remarked:

“At its core, this is a redistribution of data value. Users’ trading behavior data fuels AI model evolution, while the token economy ensures participants share in the technological dividends. This could potentially give rise to a new generation of decentralized research and trading communities.”

Challenges and the Future: The Compliance Path for AI Traders

While AI Trader’s technological framework has garnered significant industry attention, the regulatory challenges it faces are equally critical. Former SEC advisor Michael S. noted:

 “When an AI system effectively assumes asset management functions, the compliance auditing of its decision-making process and its risk disclosure obligations become highly complex.”

In response, the AI Trader team revealed that they are actively collaborating with regulatory bodies across multiple countries to develop a “regulatory sandbox”—a framework designed to monitor AI strategy compliance in real-time via on-chain regulation modules, ensuring ethical boundaries are upheld.

The launch of AI Trader marks a pivotal shift in cryptocurrency trading—from human decision-making to AI-driven execution. As large AI models continue to evolve on a weekly basis, the ability of AI Trader to strike a balance between decentralization and regulatory oversight may ultimately define the next generation of financial infrastructure.