Datasets Philippine Cooking Oil Price Trends Methodology To track the real-time cooking oil price in the Philippines, a fully automated monitoring system extracts retail prices daily from leading online grocery platforms such as SM Supermarket and Waltermart. This provides timely insights into the cost of one of the most essential household staples for Filipino families. The
Datasets Philippine 3-in-1 Instant Coffee Price Trends Methodology To monitor the real-time retail prices of 3-in-1 instant coffee in the Philippines, a data pipeline was implemented to extract daily price information from major online grocery retailers such as SM Supermarket and Waltermart. The monitoring focuses on popular 3-in-1 instant coffee mixes frequently purchased by Filipino households, including
Data Analysis 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,
Datasets Philippine Instant Noodles Price Trends Methodology To monitor the real-time retail prices of instant noodles in the Philippines, a data pipeline was implemented to extract daily price information from major online grocery retailers such as SM Supermarket and Waltermart. The focus of this monitoring system is on instant noodle products commonly found in Filipino households,
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
Data Analysis 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.
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
Datasets Philippine Fresh Milk & Plant-Based Alternatives Price Trends Methodology To track real-time retail prices of liquid milk and milk alternatives in the Philippines, a data pipeline ingests daily listings from major online grocery retailers (e.g., SM Supermarket, Waltermart). Because stock-keeping units (SKUs) appear in a wide variety of pack sizes (e.g. 180 ml single packs, 250
Budgies 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
Data Analysis 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,
Data Analysis 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
How Markets Really Move Together: Smarter Insights with Fractional Differencing & Variation of Information Markets Move Together — But Not in Straight Lines In finance, we often hear that two markets are “highly correlated.” But what does that really mean? Most people rely on correlation, which assumes that relationships between assets are linear and stationary. That’s a problem—because markets are almost never either.
Data Analysis From Commodities to Currencies: Making Price Data Stationary with Fractional Differencing Financial prices tend to wander—they drift, trend, and shift in unpredictability. Statisticians call this non-stationarity—when a series doesn’t hold a stable mean and variance. A common remedy is full differencing (subtracting today’s price from yesterday’s), but that uses a whole “1” simply because it’s
Datasets Philippine Egg Price Trends Methodology To track real-time retail prices of medium eggs in the Philippines, a data pipeline ingests daily listings from major online grocery retailers (e.g., SM Supermarket and Waltermart). Because stock-keeping units (SKUs) often bundle eggs in different counts (e.g., 6s, 10s, 12s, 30s), all prices are normalized to
Data Analysis Forecasting EUR/USD with Interest Rate Gaps: What the Germany–US Spread Tells Us TL;DR — Can Interest Rate Gaps Help Predict EUR/USD? This study investigates whether German–U.S. interest rate differentials and related macro features can forecast EUR/USD moves using trend scanning, a supervised labeling method from Marcos López de Prado. The dataset includes simulations across multiple forecast windows and
Datasets Philippine Rice Price Trends Methodology To track the real-time retail prices of rice in the Philippines, a data pipeline was implemented that extracts daily price information from major online grocery retailers such as SM Supermarket and Waltermart. The primary focus of this monitoring system is on two of the most widely consumed rice varieties
Budgies 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.
Can COT Data Predict the EUR/USD? A Data-Driven FAQ on Positioning, Reversals, and Trading Models The Commitments of Traders (COT) report, published every Friday by the U.S. Commodity Futures Trading Commission (CFTC), provides a breakdown of open interest in futures markets by trader type — including dealers, asset managers, leveraged money, and other reportables. For the EUR/USD currency pair, this report offers a valuable
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
Data Analysis Average Cash Flow to Debt Ratio by Industry Table Summary Industry 2019 2020 2021 2022 2023 Energy/Transport 0.29 0.12 0.37 0.60 0.55 Finance 0.38 0.22 0.61 0.75 0.46 Industrial 0.45 0.63 0.75 0.56 0.62 LifeSci 0.79 0.93 1.58 1.
Budgies 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
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,
Budgies 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
Data Analysis Inflation Adjusted Capital Expenditures US companies Over the past decade, capital expenditures (CapEx) across major U.S. industries have revealed critical shifts in corporate strategy, economic resilience, and policy-driven priorities. By examining CapEx relative to operating cash flows (investment rate), we gain insight into how different sectors deploy their financial resources. This blog explores major CapEx
Data Analysis U.S. Public Company Tax Payments and Cash Flow Insights by Industry Companies generate trillions annually in operating cash flow, but how much of that actually translates into federal income tax paid? Using cash-based metrics and EDGAR filings, I’ve aggregated calendar-year estimates of both cash flow and taxes paid by industry. Here’s what the data reveals. This visualization presents a