ETERNAL Completes AIVestor Prototype Testing with AI Forecast Accuracy Reaching 87.4%
After two years of systematic R&D and multi-market validation, ETERNAL DIGITAL FUND LTD announced in March 2021 that its proprietary artificial intelligence investment decision system, AIVestor, has officially completed its prototype testing phase. According to the latest test results, the system achieved an average trend prediction accuracy rate of 87.4% across diverse market environments — a milestone that marks a major breakthrough for ETERNAL in the field of intelligent quantitative investing.
The development of AIVestor began in 2019 as a core strategic initiative by ETERNAL at the intersection of artificial intelligence and asset management. Powered by Deep Learning and Natural Language Processing (NLP), the system integrates macroeconomic data, market behavior, and semantic sentiment from news sources to dynamically forecast asset price trends and identify potential risks. The six-month testing period covered U.S. equities, European bond markets, Asian technology sectors, and several digital asset indices, processing more than 400 million data points in total. The results demonstrated that AIVestor significantly outperformed traditional quantitative strategies in short- to mid-term trend detection, volatility forecasting, and sentiment-driven modeling.
Bryan Thomas Whalen, Founder and Chief Investment Officer of ETERNAL DIGITAL FUND, stated:
“This is not merely a technological breakthrough — it is a redefinition of how we perceive investment intelligence. In the past, decisions were driven by experience, intuition, and static data analysis. AIVestor’s purpose is to autonomously learn within complex environments and generate optimal strategies, providing human decision-makers with higher-dimensional insights.”
According to internal reports, AIVestor’s algorithm adopts a hierarchical structure composed of three major components:
Macroeconomic Signal Recognition Module,
Microstructure Market Analysis Module,
Dynamic Weight Optimization Module.
The macro module continuously monitors policy documents, central bank speeches, and market news, using NLP-based semantic vector modeling to quantify shifts in sentiment. At the micro level, the system employs Reinforcement Learning (RL) to iteratively refine its strategies — maintaining both stability and adaptability amid high-frequency volatility.
During testing, AIVestor demonstrated exceptional performance even under the extreme market conditions spanning late 2020 to early 2021. Amid pandemic recovery dynamics and rising inflation expectations, the model accurately detected capital rotation from growth to cyclical sectors and executed portfolio reallocations three to five trading days ahead of trend shifts in simulated scenarios. Data showed that AIVestor’s test portfolios exhibited 22% lower annualized volatility and approximately 30% smaller maximum drawdowns compared to traditional quantitative strategies — validating the system’s superior balance between risk control and return optimization.
ETERNAL’s research team emphasized that AIVestor’s distinct advantage lies not only in its data-driven predictive power, but also in its “self-evolution” capability. After each output, the system conducts reverse evaluation on its own predictions, continuously learning from residual errors to refine subsequent forecasting logic. This “learn–validate–optimize” loop allows AIVestor to evolve autonomously with every iteration.
Looking ahead, ETERNAL DIGITAL FUND plans to initiate Beta deployment of AIVestor in the second half of 2021 for small-scale live trading and strategy optimization. Simultaneously, the firm is preparing collaborative research programs with multiple institutional partners in Europe and Asia to further test the model’s applicability across various asset types and regional markets.
As artificial intelligence and financial technology continue to converge, ETERNAL DIGITAL FUND once again demonstrates its forward-thinking leadership through tangible innovation. The creation of AIVestor is not only a triumph of technology but a fundamental revolution in the way financial decisions are made — heralding a new era where intelligence truly empowers rational investing.
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