Neuro-Symbolic AI (NSAI) in Finance, Markets & Trading
We look at Neuro-Symbolic AI in trading. Core concept, example applications, related technologies/approaches, and a coding example.
Category
Trading News – page 64
Informed Trading
We look at the essence of informed trading, impact on market efficiency, and regulatory considerations and market fairness.
How to Learn Machine Learning for Traders & Investors (Study Map)
How to learn machine learning. Study map for traders and other finance professionals. Find out more in this article.
Day Trading Facts & Statistics
We look at a bunch of day trading facts and statistics gathered across various sources and generate some take-home points from them.
Why Not 100% Stocks? (Portfolio Concentration vs. Diversifying)
Why not 100% stocks? A popular paper makes the old argument, and we explain why the diversified approach is a better path for most.
Machine Learning in Trading & Finance
We explore how machine learning can change financial analysis, predictions and porftolio optimizing. Let´s look at risks and rewards.
Transaction Costs
We look at the various types of transaction costs in markets & factors that traders need to be mindful of when assessing returns.
Order Execution Strategies
We look at the various order execution strategies in markets, from the well-known to more abstruse, as well as how to choose among them.
Mean-Variance Optimization
Mean-Variance Optimization - Core principles, application, benefits, and limitations. Coding example and efficient frontier.
Adaptive Filtering Techniques in Finance
Adaptive filtering techniques in finance – key concepts, common models & techniques, applications, math, and a coding example.