Asset Class 50-days Prices To have a deeper insight into whether the US economy is headed for Deflation, Inflation or Stagflation (rising...

The chart above is taken from https://www.policyuncertainty.com/ . They have done great work in creating Indices to measure uncertainty....

Example of TenCent (.HK0700) Introduction: The Importance of Risk-Adjusted Returns Investors and analysts frequently assess investment...

A radar chart is useful when: Comparing multiple entities across multiple variables – It visually displays strengths and weaknesses...

Solving an elevator optimization problem Statement of problem The apartment I live in has 15 floors. There are three elevators on the...

Indices: BSE Sensex, Hang Seng, JKSE Composite, KLSE Composite, Stock Exchange of Thailand Index, Straits Times Index Introduction...

Data as of 10 Jan 25 In the final part of our post on this topic we explain why Neural Networks perform poorly on short-term Price data....

Data as of 10 Jan 25 Different forms of Decision Tree models Explained: Ensemble Models: Ensemble models in machine learning are like...

Data as of 10 Jan 25 Introduction For short-term predictions, it is possible to use just the price data. i.e. Open, High and Low for...

#Excuse the misspellings in the image below DALL_E does not seem to understand my instructions. In my previous post (see...

*Plus AsiaPac small caps with good Beneish M-Score The Beneish M-Score is a quantitative tool designed to detect the likelihood of profit...

Data as of 18 December 2024 Introduction Attached .xlsx is a spreadsheet of 59 Asia-Pacific Technology Gem stocks  from Singapore, India,...

Data as of 17 Dec 2024 A Bollinger Band’s upper band (Resistance) is 2 standard deviations from its 20-day Moving Average. Its lower band...

Support and Resistance Levels by Different Goodness of Fit Methods to Metalog Distributions Introduction  The modeling of financial...

The beautiful image below was created for me by the team at Prompt Perfect, the must-have tool for any work you want to do with a GPT LLM wh

Today’s Learning Corner article is about two statistical measures used in Linear Regression. Linear Regression is more useful than you may t

Ensemble methods in predictive modeling are like gathering the opinions of multiple experts to make a final decision. Instead of relying on

Monte Carlo Simulation is a technique used to model and predict the behavior of systems that are uncertain or involve randomness. In financi

Decision Tree is a category of AI that learns by Supervised Learning.  Supervised Learning is a method where a model is trained using correc

ARIMA stands for Autoregressive Integrated Moving Average. It is a technique used by Economists to forecast economic time series, which have