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- W3100939062 abstract "Trials in the automated investment management, or Robo-advisor, industry have increased with the introduction of newer data analysis tools and technologies. This has resulted in new methods, variables, and ideations being considered for optimal predictive analysis in the stock, bond, and cryptocurrency markets. Large data sets used in conjunction with machine learning are telling and predictive for different points in time. Our research attempts to define a model that can be utilized by financial advisors to theorize future asset predictability." @default.
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- W3100939062 date "2020-10-02" @default.
- W3100939062 modified "2023-09-26" @default.
- W3100939062 title "Software Architecture for Machine Learning in Personal Financial Planning" @default.
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- W3100939062 doi "https://doi.org/10.1109/ietc47856.2020.9249171" @default.
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