Most algorithmic trading models rely heavily on regression analysis, which is based on the assumption that historical patterns and relationships will persist into the future. While this can be a powerful tool for identifying trends and opportunities, it also has limitations—especially in unpredictable or volatile market conditions. Markets are influenced by a wide array of dynamic factors, including sentiment, news, and macroeconomic shifts, which cannot always be captured by data alone. Therefore, human judgement and intervention remain essential. Our trading approach uses algorithms as supportive tools, providing insights and prompts, while final decisions rest with human judgement.
