This blog introduces you to the Central Limit Theorem (CLT) and explains its importance with the help of examples in Python. The concepts of samples and sampling distribution are also covered in this article....
Vijayabhasker explains a technical strategy deployed to capture short term potential price up move when a slowing momentum starts to display some strength....
In this article, we will understand the Naive Bayes model and how it can be applied in the domain of trading....
In this article, you will not only understand regression and its types but also build a trading system that uses regression analysis at its core. Code in Python right now!...
In this article, we focus on a Volatility Weighted Portfolio to try to ensure that all components of the portfolio contribute in the same proportion to the risk/reward ratio....
This article discusses the difference between procedural programming and functional programming and allows you to get started with the object-oriented programming in Python. It also discusses the OOP concepts with the help of real-life examples and shows its implementation in Python....
This Project by Jirong Huang explains how you can use Time Series Momentum (TSMOM) and Continuous Forecasts (CF) to create a trend following trading strategy in Futures....
In this article, you will learn about the stationary series, how to detect stationarity and convert a non-stationary series into a stationary series....
A candid conversation with EPAT alumnus, Gilles Laurentin, and his journey into the world of Algo Trading. He shares his review of EPAT and QuantInsti as well....
Learn, Backtest, Analyse and Trade - All in one place with Quantra. Create and backtest a trading strategy using machine learning and live trade....