data science

Descriptive Statistics Part-3 | Day 38 of 100 Days of Python Algo Trading Welcome to Day 38 of our 100-day journey into Python Algorithmic Trading. Today, we delve deeper into descriptive statistics, focusing on essential concepts like quantiles, quartiles, quintiles, deciles, percentiles, and their significance in data analysis. Understanding Quantiles In statistics, quantiles are values […]

Role of Data Cleaning and Descriptive Statistics in Algo Trading Data cleaning is a crucial step in algorithmic trading, which ensures that stock market data sets are accurate and reliable. The cleaned data is analyzed through descriptive statistics, which helps in making better trading decisions. Why is data cleaning necessary in algorithmic trading? Before applying