#### Markov Model - An Introduction

In this post, we will learn about Markov Model and review two of the best known Markov models namely the Markov Chains, and the Hidden Markov Model (HMM)....

Learn the practical applications of mathematics and econometrics in finance. This series of blogs covers time series analysis, portfolio management, probability distribution, econometrics and many mathematical models.

In this post, we will learn about Markov Model and review two of the best known Markov models namely the Markov Chains, and the Hidden Markov Model (HMM)....

Random walk describes a path taken by an object which is seemingly random, or unpredictable. We will see what is a simple random walk and create a simulation for the closing price of a stock....

Learn about Time Series Data Analysis and its applications in Python. Learn types, components, decomposing, forecasting, calculating, plotting and validating Time Series....

Learn different mathematical concepts such as Statistics, Probability, Algebra, Linear Regression which play an important role in Algorithmic Trading....

The article on basic statistics goes through basic concepts such as mean, mode, median, range as well as probability distributions which are used for strategy analysis....

By finding patterns of varying lengths and magnitudes, the trader can then apply Fibonacci ratios to the patterns and try to predict future movements....

In this blog on “Understanding the chain rule,” we will learn the math behind the application of chain rule with the help of an example....

To help develop a deeper understanding of statistical analysis by focusing on the methodologies adopted by frequentist statistics and Bayesian statistics....

Bayesian statistics is an important part of quantitative strategies which are part of an algorithmic trader’s handbook....