Kevin Patrick Lim - Budgie Bytes & Bucks

Budgie Bytes & Bucks

Kevin Patrick Lim

Loss Function for Time Series Prediction

Data Preprocessing

Loss Function for Time Series Prediction

Loss functions play a crucial role in determining the performance of time series regression models in real-world scenarios. In any machine learning task, there’s always a trade-off between over- and under-prediction. The choice of loss function determines whether the model will symmetrically or asymmetrically penalize it for either under-

Interest Rate Sensitive Stocks

Interest Rate Sensitive Stocks

Interest rates are a fundamental driver of economic activity, influencing everything from consumer spending to corporate investment. In the stock market, changes in interest rates can ripple through various sectors, altering profit margins, affecting debt costs, and shaping investor sentiment. While the effects of these changes are not always immediate

Time Series Data Labeling

Data Preprocessing

Time Series Data Labeling

There are several types of machine learning, and one of the most commonly used today is supervised learning. In this category, machine learning models are trained using labeled datasets. The objective of the model is to learn to map the input data to the corresponding labels. Price series are sequences

Fractional Differencing: A Better Approach in Price Series Transformation

Data Preprocessing

Fractional Differencing: A Better Approach in Price Series Transformation

Price information is a very common metric that investors use to make financial decisions. This is no wonder as price information signals to the investing world how buyers and sellers are reacting to certain information about an asset class. A whole host of techniques, more commonly known as technical analysis,