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Naive Bayes Model: Introduction, Calculation, Strategy, Python Code
In this article, we will understand the Naive Bayes model and how it can be applied in the domain of trading....
6 min read
Building a Trading System using Regression Modelling
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!...
5 min read
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....
6 min read
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....
13 min read
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....
12 min read
Stationarity: Defining, Detecting, Types, and Transforming Time Series
In this article, you will learn about the stationary series, how to detect stationarity and convert a non-stationary series into a stationary series....
12 min read
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....
6 min read
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....
9 min read
Why is data cleaning important and how to do it the right way?
This blog is all about answering your data cleaning questions in the simplest form. It will deal with the basic challenges in cleaning data like missing and duplicate data, and provide easy solutions. This will take your data from being raw to being ready for analysis....
14 min read
Fundamental and Sentiment Analysis with Different Data Sources
Exploring different data sources with Python API’s to get data to perform fundamental and sentiment analysis....
7 min read
