Budgie Bytes & Bucks

Budgie Bytes & Bucks

Budgies

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Converting Budgie to Pellets: Step-by-Step Guide for a Healthier Diet

Converting Budgie to Pellets: Step-by-Step Guide for a Healthier Diet

Switching a budgie from seeds to pellets can feel overwhelming, but it’s one of the most important steps you can take for your bird’s long-term health. Not all pellets are created equally—some brands are loaded with sugar and artificial ingredients that can actually harm your bird more

Budgie Testicular Tumor

Budgie Testicular Tumor

I wanted to share my experience with my budgie, Baden-Baden, and his testicular tumor because I found it incredibly difficult at the time to find clear, relevant information. Most of what I came across came from Facebook or Reddit posts—helpful, but often lacking specific details about what to expect.

Budgie Sounds and Meanings: Analyzing Call Type Similarities Through Phoneme Patterns

Budgie Sounds and Meanings: Analyzing Call Type Similarities Through Phoneme Patterns

Budgies are some of the most vocal and socially complex birds. Through various sounds and calls, they express emotions ranging from excitement and affection to stress and urgency. In this analysis, I explore the idea that not only are these calls behaviorally distinct, but their underlying phoneme structures—the basic

Budgie Sounds and Meanings: A Phonemic and Behavioral Analysis

Budgie Sounds and Meanings: A Phonemic and Behavioral Analysis

What if we could decode the language of budgies—not just by observing their body language, but by analyzing the structure of their chirps, calls, and chatter? Inspired by a groundbreaking study published in Nature, which found that budgerigars have brain regions specialized for vocalization that mirror those used for

Business Analysis

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Carnival Q3 2025 Results: Earnings Results: Key Highlights and SWOT Analysis of Promises vs. Delivery

Business Analysis

Carnival Q3 2025 Results: Earnings Results: Key Highlights and SWOT Analysis of Promises vs. Delivery

Carnival delivered the strongest quarter in its history, driven by robust demand, record yields, disciplined cost management, and balance sheet improvements. With upgraded full-year guidance and strong forward bookings for 2026 and 2027, the company is well-positioned to further expand profitability, strengthen its financial profile, and capture market share in

Costco Q4 2025 Earnings Results: Key Highlights and SWOT Analysis of Promises vs. Delivery

Business Analysis

Costco Q4 2025 Earnings Results: Key Highlights and SWOT Analysis of Promises vs. Delivery

Costco’s Q4 and FY2025 results, released September 25, 2025, showcased resilient growth in sales, profits, and memberships. Quarterly net sales climbed to $84.4B (+8% YoY), driving full-year revenues to $269.9B and net income to $8.1B. Memberships hit a record 81M paid cards, with renewal rates holding

Data Analysis

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Decoding EUR/USD: The U.S. Economic Events That Matter Most

Decoding EUR/USD: The U.S. Economic Events That Matter Most

Few currency pairs react as sharply to U.S. economic news as EUR/USD — the global barometer of dollar strength and investor sentiment. Every week, forex traders around the world track high-impact events on calendars like Forex Factory, watching for red labels that warn of potential volatility: Nonfarm Payrolls, CPI,

How Fractional Differencing Changes the Look of EUR/USD Prices

How Fractional Differencing Changes the Look of EUR/USD Prices

What happens when prices are transformed, yet still keep their essence? This post takes a visual dive into how fractional differencing reshapes the EUR/USD series while preserving critical information. A fractional differencing parameter of 0.2 is applied, which is the level that makes the EUR/USD series stationary.

Treasury Yields and the Fed: What Lower Rates Mean for Stocks and Industries

Treasury Yields and the Fed: What Lower Rates Mean for Stocks and Industries

When the Federal Reserve tweaks interest rates, the ripple isn’t just in the bond market — entire industries feel the shift. Some sectors tend to thrive when borrowing gets cheaper, while others lag behind. Think of lower rates as fuel: tech companies may sprint ahead, finance might catch a tailwind,

Fractional Differencing for Technical Analysis: Reducing Noise in MACD, ATR, and RSI Signals

Fractional Differencing for Technical Analysis: Reducing Noise in MACD, ATR, and RSI Signals

TL;DR This analysis explores whether fractional differencing can make common trading indicators more predictive. 👉 The purpose is not to prove or disprove the usefulness of MACD, RSI, ROC, Bollinger Bands, or Z-Score, but to test whether these signals can be made more predictive by make it less noisy and

Data Techniques

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Clustering Large Datasets

Data Techniques

Clustering Large Datasets

Clustering large datasets is often computationally expensive because many algorithms require computing pairwise distances or similarities between samples—a process that grows quadratically with the number of data points. This poses a significant challenge in high-dimensional datasets such as those in finance, where instruments and time series are numerous. One

Backtesting Financial Time Series Forecasting

Data Techniques

Backtesting Financial Time Series Forecasting

Time series forecasting plays a critical role in decision-making across industries. However, creating a predictive model is not enough — assessing whether the model generalizes to future data is essential. This is where model assessment and backtesting come in. A poorly executed backtest can lead to inflated expectations, poor real-world performance,

Loss Function for Time Series Prediction

Data Techniques

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-

Time Series Data Labeling

Data Techniques

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

Datasets

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