Through continuous development and calibration, our dynamic algorithmic processes work as tools within the larger environment of the NanoBrink Small Edge Market Model to help determine where the most exploitable operational areas lie and act on them in adherence to our risk models. We set conditions using strict parameters to provide a framework for positioning and managing entries and exits to the highest degree of favorability and it all gets calculated using the real underlying math that makes up current market structures. Discretionary execution is only allowed to take place once the machines have given the all-clear and the model works around capturing the “safest” number of points within actionable ranges that have been further distilled to reduce risk within favorable percentages. Buying protocols are continuously weighed against selling protocols in real time through probabilistic/odds-based analysis of current market data, with the algorithms adhering to clear checklists and assigning odds and/or probabilities as the case may be. In terms of odds, probability, likelihood, our model determines which relationships make the most sense depending on whether a strategy requires dealing with discrete or continuous random variables. More examples of actual processes below…