1. A method of identifying a recognized formation in a predetermined interval of a financial event data time series from a plurality of established formations, each of the plurality of established formations defined by a respective sequence of alternating high and low extremums, the method comprising: categorizing, using a computer, a plurality of pivot points corresponding to a first box size within the predetermined interval, wherein the plurality of pivot points is ordered in a reverse chronological order; matching, using the computer, a first pivot point of the plurality of pivot points to a first extremum of the alternating high and low extremums of the one of the plurality of established formations; determining a first interval based on the first extremum and a number of the plurality of pivot points; establishing, using the computer, a first polarity of the first interval based on a second extremum of the alternating high and low extremums of the one of the plurality of established formations; matching, using the computer, a second polarity of a second pivot point of the plurality of pivot points to the first polarity of the first interval, wherein the second pivot point is in the first interval; determining a second interval based on the first extremum and the second pivot point; establishing, using the computer, a third polarity of the second interval based on a third extremum of the alternating high and low extremums of the one of the plurality of established formations; matching, using the computer, a fourth polarity of a third pivot point of the plurality of pivot points to the third polarity of the second interval, wherein the third pivot point is in the second interval; and recognizing and presenting the one of the plurality of established formations in the plurality of pivot points based on, at least, matching the first pivot point, the second pivot, and the third pivot point.