Through AI, we analyze past market data, identify specific patterns, predict upward trends, and analyze optimal market conditions for investment. AI's learning capabilities and fast processing speed provide high performance and stability.

Eclipse Momentum

ZOLBO is Alchemi Lab’s next-generation OTO (Order-Time-Optimized) long-only trading strategy, building upon the foundation laid by ZOLBO. The core differentiator comes from the OTO concept, which is designed to enhance performance by distributing the existing ZOLBO strategy’s 24-hour cycle across multiple threads. ZOLBO itself was a breakthrough fusion of Bayesian Modern Portfolio Theory (MPT) and AI, enabling data-driven and adaptive investment strategies. ZOLBO takes this foundation to the next level, improving resource allocation and computational efficiency for even better performance in dynamic markets. By refining how trading tasks are processed, it maximizes opportunities during optimal market conditions while maintaining the scientific rigor of its predecessor.
Alchemi Lab is continuously advancing its algorithms, with plans to launch each new version as a separate fund. This ensures that fans of older versions can continue using them while benefiting from the stability and familiarity of proven strategies.

ZOLBO

JUNDA compares the crypto market to a battlefield. Just as a powerful weapon is necessary for victory in war, JUNDA provides investors participating in the battlefield of the crypto market with quant algorithms that guarantee overwhelming performance as its weapon.
The JRS (JUNDA Rifle Strategy) is optimized for the volatility levels occurring in the short-term timeframe. Therefore, it analyzes short-lived trends and utilizes probabilistic calculations for trading, along with machine learning training using derived data. Through this approach, it aims to secure market alpha in the form of capturing key enemy positions on the battlefield of short-term volatility.

高ROI的热门策略

$ECM

风险评分

$ZLB

风险评分

$JRS

风险评分

高ROI的热门策略

$ECM

风险评分

$ZLB

风险评分

$JRS

风险评分

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