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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…
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Continue reading →: Augmented Dynamic Adaptive Model (ADAM) for Daily Seasonal DataI have modeled the BIST 100 index to build predictive intervals. Because the data has daily seasonality, I preferred the modeltime::adam_reg function. I did not use the timetk::step_timeseries_signature function because the model cannot process too many exterior regressors, and the algorithm captures the trend and seasonality well by nature. So…
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I’m Selcuk Disci
The DataGeeek focuses on machine learning, deep learning, and Generative AI in data science using financial data for educational and informational purposes.
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