Volatility Weighted Portfolio
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....
QuantInsti’s Blog on Algo Trading and Quantitative Finance
Object Oriented Programming (OOP) in Python
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....
Trend Following Strategy in Futures using Time Series Momentum and Continuous Forecasts
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....
Mean Reversion Strategies: Introduction & Building Blocks
Introduction to mean reversion and learn building blocks of a simple mean reversion strategy using three steps....
Stationarity in Time Series Analysis Explained using Python
In this article, you will learn about the stationary series, how to detect stationarity and convert a non-stationary series into a stationary series....
Journey of an experienced IT sales professional in algorithmic trading with Gilles Laurentin
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....
Momentum Trading Strategies
This blog explains the basics of momentum trading, it's benefits and risks involved. A simple strategy is also shared for you to tweak and backtest!...
[Algo Trading Webinar] Stock Data Analysis: Excel Vs Python
Learn to analyse and backtest financial market data using Excel and Python. Understand the difference between both tools and their respective pros and cons. Know which one is best suited for you....
Live Trading Integration on Quantra
Learn, Backtest, Analyse and Trade - All in one place with Quantra. Create and backtest a trading strategy using machine learning and live trade....