| CPC G06N 5/046 (2013.01) [G06Q 10/04 (2013.01)] | 12 Claims |

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1. A system for projecting one or more trends in electronic data and generating enhanced data, comprising:
a dedicated website portal configured to generate at least one webpage comprising an input selection portion and a projected data portion;
a data forecasting system in electronic communication with one or more electronic data sources and the dedicated website portal via an electronic network, the data forecasting system comprising at least one processor and non-transitory memory storing computer readable instructions, the data forecasting system configured to:
receive, via the input selection portion of the at least one webpage, input comprising a selected time period;
monitor the one or more electronic data sources for data that meet one or more predetermined criteria;
obtain the monitored data from among the one or more electronic data sources by taking one or more snapshots of the monitored data at randomized times;
create a data set from the obtained data;
derive, according to a forward-looking term methodology, one or more data values associated with the data set over the selected time period, the forward-looking term methodology comprising execution of a series of calculations involving the data set, the results of which produce projected data that is predictive of future data value changes over the selected time period, said projected data comprising said derived one or more data values;
utilize the data set and the one or more derived data values over the selected time period to derive at least one data forecast metric associated with the data set; and
disseminate the at least one data forecast metric to the dedicated website portal, such that the projected data portion of the at least one webpage is updated to display the at least one data forecast metric reflecting the selected time period,
wherein the data forecasting system, as part of the forward-looking term methodology, is further configured to:
exclude one or more among the one or more snapshots via integrity testing,
combine remaining snapshots among said one or more snapshots into a global synthetic order book, responsive to said exclude,
calculate, for said combined snapshots, one or more statistical values, and
apply a predetermined weighting to the one or more statistical values to derive a forward-looking term setting for the selected time period.
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