Neural Network
A neural network is a type of machine learning algorithm. Learn about the role of neural networks in trading and investing environments.
Category
Trading News – page 68
Differential Geometry in Finance, Trading & Markets
We look at the concepts of differential geometry in markets and financial data. Comparisons with information geometry. Coding example.
Topology in Finance & Markets (Concepts & Applications)
We look at the applications of topology in finance, trading, and markets. Specific examples and a coding example.
How to Design an Algorithm for Predicting Exchange Rates
We look at what goes into designing an algorithm for predicting exchange rates. We look at steps & techniques. Plus an example model.
All Weather Portfolio – Risk Parity (Example Portfolios + Coding Example)
The All Weather Portfolio is a risk parity strategy that aims to achieve consistent returns through a well-balanced asset allocation mix.
Bagging, Boosting & Stacking in Financial Machine Learning
We look at the concepts of bagging, boosting, and stacking and their application to machine learning applications in trading and finance.
Stochastic Processes in Financial Markets (Components, Forms)
Stochastic processes in financial markets. We look at the range of models and concepts, and include two Python coding examples and results.
How to Model the Term Structure of Interest Rates & Credit Spreads
We look at 20+ ways of how to model the term structure of interest rates and credit spreads. Plus, a coding example.
Order Flow Trading
Order Flow Trading is an often overlooked trading strategy. Let´s look at advertised and executed orders to identify trading opportunities.
Extended Mathematical Programming (Trading & Investing Applications)
We look at Extended Mathematical Programming in trading and investing. Applications, fundamentals, math, challenges, and coding examples.