## Latest Articles

## Stochastic Oscillator: Predicting Trend Reversals for Better Entries in Trading

The stochastic oscillator is a momentum indicator that is used to indicate overbought or oversold status. It has...

## Calculating Moving Averages in Python

Moving averages are momentum indicators used in a range of fields from natural sciences to stock market trading....

## Stochastics: Accounting for Random Phenomena

Stochastic is a term used synonymously with the term random. In statistics, stochastic models are applied when random...

## Moving Averages: Smoothing Out the Noise for Better Predictions

Moving averages are calculations that estimate an average for a subset of values within a larger series of...

## Drawing a Scatter Plot with Pandas in Python

Scatterplots are incredibly useful visualization tools for visualizing and analyzing data. The Pandas library in Python makes creating,...

## Creating Correlation Matrices & Heatmaps in Python

Correlation analysis is a powerful statistical tool used for the analysis of many different data across many different...

## Simple Linear Regression: Modeling the Relationship Between Two Variables

Linear regression is a powerful statistical tool used to quantify the relationship between variables in ways that can...

## Predicting Stock Prices with Linear Regression in Python

Predicting stock prices in Python using linear regression is easy. Finding the right combination of features to make...

## Reshaping Data for Linear Regression With Pandas, NumPy, and Scikit-Learn

Pandas, NumPy, and Scikit-Learn are three Python libraries used for linear regression. Scitkit-learn’s LinearRegression class is able to...

## Correlation Analysis: Quantifying Linear Relationships Between Features

Correlation analysis is used to quantify the linear relationship between variables. This analysis is integral to many modern...