Machine Learning Reshapes Classification Rules
With the help of machine learning algorithms, we explore the new possibilities in classifying financial instruments, unveiling fresh perspectives in analysis.
With the help of machine learning algorithms, we explore the new possibilities in classifying financial instruments, unveiling fresh perspectives in analysis.
What do a bond and a curved mirror have in common? Both can be described with convex functions, capable of deforming prices in the first and images in the second.
Behind a trading system with few rules and apparently simple, there is always an accurate design.
In this fourth part, we are going to use our model to predict the maximum drawdown and to draw conclusions.
In this third part we are going to show a Machine Learning algorithm, we’ll train it to create a model to predict the Maximum DrawDown of a generic time series.
Synthetic time series are a valid aids to have enough data for a good training of Machine Learning algorithms.
The latest Information Technologies have given a new boost to Technical Analysis, making Machine Learning methodologies easily accessible fot traders and investors too.
How to create a portfolio with the “Core – Satellite” approach
The latest information technologies in service to Technical Analysis of financial markets