- In a challenging market period, such as the one experienced between August and October, Numa's Machine Learning ETF strategies, Lachesis and Moirai, stood out for their performance compared to their benchmark*. Our strategies achieved returns of -3.67% and -3.76%, respectively. In contrast, the benchmark recorded a return of -11.93%.
- Our investment strategies, ML Lachesis and ML Moirai, faced a market environment marked by three consecutive months of declines. Despite the negative results observed in our strategies, it is important to highlight their ability to mitigate losses compared to the benchmark.
- The resilience of ML Lachesis and ML Moirai underscores their ability to preserve capital more effectively in an adverse market environment. In contrast to the benchmark, our strategies managed to deliver significantly less negative returns.
- Despite the strategies aligning with the market's bearish trend in October, it is crucial to highlight key moments in August and September. During these months, amidst market downturns, our strategies adjusted to minimize losses by adopting neutral and even short positions. These maneuvers made a difference, enabling our strategies to outperform the benchmark more favorably.
