The digital asset market is gradually entering a stage of structured competition. The differences between trading platforms are no longer limited to trading depth and the number of products; intelligent asset management capabilities, risk governance logic, and information transparency are becoming important indicators for measuring a platform’s long-term potential. Against this backdrop, BTDUex recently disclosed the core strategy framework and risk control mechanism of its AI COPY product, drawing further market attention to its intelligent trading system.
According to the strategy description released by BTDUex, AI COPY is not a single strategy model, but a combined intelligent trading system built on a multi-factor quantitative system. This system continuously tracks market trends, fund flows, on-chain behavior, volatility structure, and sentiment indicators to dynamically identify different market environments and adjust strategy weights and risk exposure accordingly.
The core of this disclosure lies in the “hyperbolic return structure” adopted by AI COPY . This architecture is designed to simultaneously cover both long-term stable returns and short-to-medium-term enhanced returns, and reduces the systemic risk caused by the failure of a single strategy through clear functional stratification.
In this model, the first return curve primarily serves to stabilize the portfolio. Its strategy revolves around highly liquid, mainstream digital assets with strong market consensus, achieving sustained growth while controlling volatility through trend following and risk budgeting. This part is considered the “return foundation” of AI COPY, emphasizing predictability and drawdown control.
The second yield curve focuses on enhancing the yield layer, primarily used to capture cyclical market opportunities, including sector rotation, trending events, and medium-term trend changes. Unlike the stable curve, this part allows for greater strategy flexibility, but its capital allocation and participation intensity are strictly constrained by overall risk parameters to avoid overexposure during periods of extreme market volatility.
The hyperbola does not operate at a fixed ratio, but rather adjusts dynamically based on the system’s identification of market conditions. When market volatility intensifies or liquidity tightens, the system automatically increases the weight of the stable curve; conversely, when the trend is clear and risk premiums improve, the participation of the augmented curve will increase accordingly.
In terms of risk control,BTDUex stated that AI COPY incorporates multiple protection mechanisms, including tiered asset allocation, strategy correlation control, and risk mitigation in extreme market conditions. The platform does not simplify risk control to a single stop-loss logic; instead, it reduces the system’s reliance on a single market direction through portfolio-level risk budgeting and factor hedging.
Based on the disclosed information, BTDUex aims to provide users with a structured and explainable intelligent trading path in the current highly volatile market environment, rather than relying on short-term profit displays to attract attention. Industry insiders believe that this transparency regarding strategy logic and risk mechanisms helps improve users’ understanding of how intelligent trading systems operate and also provides a reference for the industry to explore more mature AI asset management models.