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Continue reading →: Integrating Python Forecasting with R’s TidyverseIn this article, we executed a successful integration of a non-standard Python forecasting model into the R Tidyverse/Tidymodels framework, primarily leveraging the reticulate package. 1. The Objective (The Challenge) The goal was to utilize a powerful, custom Python model (nnetsauce‘s MTS wrapper around a cyb$BoosterRegressor) and integrate its outputs—predictions and…
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Continue reading →: Nested Forecasting with Spark: Blockchain ETF TrendsBitcoin hit an all-time high of $125,664 on October 5. This increase was fueled by a historic net inflow of $3.24 billion into spot Bitcoin ETFs and rising public demand. In this article, we will predict the trend of two blockchain ETFs using nested forecasting with the Spark backend. I…
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Continue reading →: Uncertainty Analysis: Gold vs. BitcoinDeutsche Bank Research Institute stated in its published report that Bitcoin has undergone a process similar to what gold experienced over the past 100 years. According to the report, Bitcoin’s increasing adoption and reduced volatility may transform it into a reserve asset that central banks could hold by 2030. The…
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Continue reading →: Global Modeling with XGBoost: Gold vs. SilverChina aims to increase its influence in the global bullion market by directing friendly countries to store their gold reserves within its borders. This move is part of Beijing’s efforts to reduce its reliance on the dollar and promote the global use of the yuan. Goldman Sachs predicts that if…

