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...