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Continue reading →: Predicting Gold Prices: Backtesting of ML ModelsFitch projects a decline of about 30% in gold in 2026. Easing the trade war and the Israel-Iran conflict may support this idea. We will project how the prices could go by the end of the year. We will use the modeltime.resample package for forecasting modeling. According to the Prophet…
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Continue reading →: Understanding the Link Between Uncertainty and Imports by glmnetAccording to the graph below, suggested by Fernando Leibovici, the increase in uncertainty that began in late 2024 aligns with a rise in imports, indicating that US importers accelerated their purchases as a precaution against expected tariff increases or supply chain disruptions. When we model the variables with the glmnet engine, we can see that this impact…
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Continue reading →: Correlation Analysis of Silver, Bitcoin, SOXX, and Blockchain Index with {corrr} packageSilver, Nasdaq Blockchain Economy Index, Bitcoin, and iShares Semiconductor ETF are always thought of as correlated with each other by investors. We will test this perception with the corrr package. The common perception appears to be correct based on the correlation analysis, specifically between the Nasdaq Blockchain Economy index and…
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Continue reading →: Impact of Budget Deficits on Treasury Yields with XGBoostCharles Schwab analysts said that historically, budget deficits have had minimal impact on Treasury yields, primarily due to the United States’ economic dominance and its status as the issuer of the world’s reserve currency. The variable importance analysis with the XGBoost machine learning model confirms the aforementioned statement. Source code:
Hello,
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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