TSAI Smart Investment: AI-driven portfolio rebalancing is coming soon

TSAI

The AI-driven portfolio rebalancing function relies on the TSAI platform's powerful real-time market monitoring system and sophisticated user portfolio dynamic analysis capabilities. Through millisecond-level data capture and in-depth analysis of major global financial markets, the system can instantly gain insight into subtle changes in the market. At the same time, using advanced reinforcement learning algorithms, various assets in the user's portfolio are continuously evaluated and deeply analyzed to accurately determine the degree of deviation from the preset investment target.
Once market fluctuations cause the portfolio to deviate from the preset target, this intelligent system will quickly and automatically trigger the rebalancing operation. During the execution process, the system, with its excellent algorithm optimization capabilities, adjusts the weights of multiple assets such as stocks, bonds, and funds at lightning speed under the core principle of minimizing transaction costs. For example, in the simulated backtesting of a large amount of historical transaction data, it was found that when the market experienced moderate fluctuations (such as the daily fluctuation range of the main index between 2% and 5%), the system was able to complete the reallocation of asset weights within an average of 10 minutes, and the transaction cost was reduced by 60% to 70% compared with the traditional manual adjustment method.

Taking a balanced portfolio as an example, past data shows that its annualized yield fluctuation range is usually ±10%. After the introduction of TSAI's AI-driven rebalancing function, after a year-long tracking test of multiple simulated investment portfolios in different market environments, the annualized return fluctuation range has been significantly reduced to ±7%. In extreme market volatility scenarios (such as a market plunge of more than 20% in a short period of time), the advantages of this function are more prominent. Test data show that the net value drawdown of the portfolio using the rebalancing function is reduced by an average of 12% - 15% compared with the portfolio that does not use it.

Not only that, from the perspective of long-term return performance, in a three-year simulated investment experiment on simulated investment portfolios with different risk preferences, the portfolio using the AI-driven rebalancing function has increased its risk-adjusted return by 25% - 35% compared with the portfolio that does not use it. For conservative investment portfolios, the annualized return has increased by an average of 8% - 10% while maintaining a low risk level; for aggressive investment portfolios, while pursuing high returns, the stability of their returns has increased by 30% - 35%.

This will undoubtedly provide investors with more solid investment protection in the complex and ever-changing financial markets, help them calmly manage market fluctuations, and steadily move towards a new journey of wealth growth. It will lead smart investment to achieve a new leap in stability and efficiency, and become another brilliant innovation model in the field of financial technology. It will attract the attention of many investors and industry peers, and is expected to occupy a more advantageous strategic position in the future competition in the smart investment market, and promote the deep transformation and innovative development of the entire industry in terms of portfolio management concepts and technological applications.