| CPC G06Q 40/06 (2013.01) | 18 Claims |
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1. An Alternative Trading System (ATS) computer-implemented method comprising:
electronically ingesting capitalization table data representing a capitalization table, the capitalization table data defining capitalization of an asset and at least including fields indicating: (1) a plurality of investors in the asset and (2) a fiat currency investment each of the plurality of investors has invested in the asset;
triggering an asset price calculation;
subsequent to triggering the asset price calculation:
extracting fields relevant to digitally re-formulating fractional interests in the asset, including the plurality of investors and corresponding fiat currency investments, from the electronically ingested capitalization table data; and
accessing a continuous learning model trained on capitalization table data and a corresponding identified price share denominator from at least one prior digital re-formulation of fractional interests;
utilizing the continuous learning model automatically:
suggesting a guardrail share pricing range based on a plurality of pricing factors and defining a minimum asset share price and a maximum asset share price; and
identifying a denominator within the guardrail share pricing range representing a share price for shares in the asset to be used when digitally re-formulating fractional interests in the asset, including:
accessing an asset owner preference for a specified share pricing priority from among a plurality of different share pricing priorities; and
identifying the denominator in accordance with the specified share pricing priority, including:
performing a first iteration of calculating potential investor loses in view of a potential denominator representing a possible share price, including per investor in the plurality of investors:
calculating investor loss based on the fiat currency investment of the investor and the possible share price;
identifying an outlier investor subset from among the plurality of investors as outliers based on the loss for each investor in the outlier investor subset exceeding a specified magnitude;
removing the outlier investor subset from consideration in digitally re-formulating fractional interests in the asset;
performing a second iteration of calculating potential investor loses in view of the potential denominator representing the possible share price subsequent to removing the outlier investor subset from consideration; and
identifying the potential denominator as the denominator;
automatically deepening the guardrail share pricing suggestion capabilities of the continuous learning model based on the electronically ingested capitalization table data and the identified denominator;
fractionalizing the capitalization of the asset into a plurality of tokens utilizing the denominator, each token representing a digital share of the asset and having a fiat currency value of the share price;
per each investor included in the plurality of investors:
assigning a number of tokens, from among the plurality of tokens, to the investor corresponding to the investor's fiat currency investment in the asset ingested in the capitalization table data; and
storing the assigned number of tokens in a corresponding ATS exchange managed digital wallet; and
creating a new digital capitalization table indicating each investor's assigned number of shares of the asset and the share price.
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