When we perform our scans, a considerable amount of data is automatically collected. We have created a model/algorithm that makes use of the collected data to derive inferences, projections, and probabilities. The advantage of using a computer-driven algorithm to gather data, conduct tests, and draw conclusions is that it tends to minimize if not completely eliminate human emotions and biases from the process. Humans often overlook data available to them, or they may underestimate the importance of some data. We make frequent reference to our model. Because using the word "model" repeatedly can get tiresome, we have created a name for the model. Some of the output of our system is generated by Probability-based ALgorithms. For the sake of brevity and convenience, we therefore sometimes refer to our model/system as PAL. It is PAL that has been calculating "Intraday Key Levels," resistance levels, Group Pressure Gradients, and probabilities. No human or system can predict precisely what the markets will do the following day. That is why PAL uses probability algorithms to draw some of its conclusions. PAL gathers the basic data it requires each day, then applies numerous algorithms to analyze and interpret the data. It then generates the report that we display for our visitors. PAL's report is expressed in a manner that approximates the speech patterns of a human reviewer rather than as a printout of probabilities and statistical data.
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