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Continue reading →: Predicting the NASDAQ 100 with Hyperparameter TuningPressure on the markets has intensified ahead of the Wednesday deadline for trade deals. We will model monthly Nasdaq 100 data with the Federal Funds Effective Rate and the Unemployment Rate. We will use Boosted trees with hyperparameter tuning. According to the model, it would be better to wait until…
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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…
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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