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Dynamic Asset Allocation using Neural Networks
With this project, learn how to leverage daily returns prediction from a set of dynamic linear neural network models and build an asset allocation strategy for stocks comprising the nifty bank index....
17 min read
Collaborating in an Open Source Trading Project
A comprehensive resource to learn how to collaborate in an Open Source Trading project using the largely popular Git and Github tools....
13 min read
Introduction to Central Limit Theorem: Examples, Calculation, Statistics in Python
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....
14 min read
Trading with low ADX & other Momentum Indicators
Vijayabhasker explains a technical strategy deployed to capture short term potential price up move when a slowing momentum starts to display some strength....
4 min read
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
