Mastering the Art of Algorithmic Trading: A Guide to Build a Successful Algorithmic Trading System
Have you ever wondered if it is even possible to build a successful algorithmic trading system that works all by itself without human intervention? Well, the answer is YES! It is certainly possible to build a successful trading system, but it involves a
Multiprocessing and Multithreading in Python
Multiprocessing is a technique where multiple processes run across multiple processors or cores simultaneously.
Feature engineering techniques in time series data
Feature engineering in time series involves creating new input variables from the existing data to improve the performance of a predictive model.
Heteroscedasticity in Time Series
heteroscedasticity is defined when the variability of a variable is different across another variable.
Time Series and its components
the components of time series - any time series can contain some or all the following components – Trend Seasonal Cyclical Noise
Assessing the forecastability of a time series
Although there are many statistical measures that we can use to assess the predictability of a time series,
