How to Setup a Trading Algorithm in C++
We look at what goes into building a trading algorithm or trading system in C++. High-level overview + more specifics.
Section
Blog Posts – page 62
Tensor Theory in Finance, Markets & Trading
Tensors - basic concepts, applications in finance, forms of tensors, tensors & machine learning, tensor probabilities, and a coding example.
Riemannian Manifolds in Finance, Markets & Trading
Riemannian Manifolds - Key concepts, applications, challenges, comparisons with other types of manifolds. Plus, a coding example.
Geometric Mechanics in Finance, Markets & Trading
Geometric mechanics - Key concepts, applications, limitations, comparison with other fields & a simple Python coding example.
Statistical Mechanics & Applications to Finance
We look at a complete topical outline of Statistical Mechanics and its various applications for traders and investors. Learn more here.
Manifold Learning in Finance, Markets & Trading
Manifold learning in trading. Dimensionality reduction, discovering non-linearities in data, risk management, optimization, techniques.
Symplectic Geometry in Finance, Markets & Trading (Coding Example)
We look at the applications of symplectic geometry in finance, as well as limitations and challenges. Coding example.
Differential Topology in Finance, Markets & Trading
Applications of Differential Topology in finance. Comparisons with other disciplines. Coding examples in Python.
‘Probabilities of Probabilities’ in Finance
We look at the concept of "probabilities of probabilities" and multi-order probability structures in finance and markets. Learn more here.
Information Geometry in Finance, Markets & Trading
Let´s look at information geometry & its value in finance and quantitative trading, plus statistical manifolds and modeling.