Inertial Frame

Frequently Asked Questions

Why should an AI model be trusted if its creators are not personally educated in the applied domains?

- AI can learn and refine upon domain-specific knowledge, developing abilities that surpass the limitations of its creators.

Does automated investing entail risk beyond human investing?

- Not necessarily, especially given AI is not inherently subject to human biases in judgement. Inertial Frame provides Sharp ratios so risk adjusted returns can be compared to those of human investors. Furthermore, by evaluating signal (units of information) beyond the scope of past and current performance, risk can be minimized through abilities such as sell-decisions that emerge from layers of logic before stop-loss thresholds are met. Inertial Frame recognizes the value of human expertise and incorporates optionality for AI-augmented human choice in all instances.

Does Inertial Frame benefit from negative market performance?

- No. Protection against drawdown is a product of risk-limitation. The vast majority of Inertial Frame's positions are long, due to our findings regarding the rarity of short-selling being worthwhile when opportunity-cost is considered, although short-selling does not necessarily rely on poor market performance in aggregate. Automated results are compared to market benchmarks as a form of transparency, providing interpretable measures of ability.

Does Inertial Frame downplay or diminish the value of physicians or other healthcare professionals?

- No. Inertial Frame does not replace human clinical judgement. It incorporates algorithms that are capable of integrated reasoning with live inputs beyond the scope of human cognitive constraints. The aim is to further the quality of care that is possible for clinicians to deliver. Machine learning completes tasks at certain rates and degrees of accuracy; the implications of instances in which quality surpasses human ability are best handled by those with the relevant clinical expertise.