All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
Much has been written and celebrated in the press about the combination of Man + Machine to outperform the markets. And no software application has done it better than HOLLY, the artificially intelligent virtual trading ...
Creating the Volatility Bands Using the Fractal Dimension Index. Source
If you like to dabble in stocks (like me), you are likely conscious about events of high volatility in the market which could lead to massive red days which could further extend to even weeks ...
The Ultimate Step-by-Step Guide for turning a manual strategy into an algorithmic trading strategy
Using NLP and Granger causality to analyze the relationship between the sentiment of a written article and a stock’s price Source
In this new python package called Machine Learning Financial Laboratory (mlfinlab) developed by Hudson & Thames, there is a module that automatically solves for the optimal trading strategies (entry & exit price thresholds) when the ...
AI and machine learning are making the customer experience more personalized and contextual than ever before. Source
An overwhelming number of traders use the famous Relative Strength Index to help with their decisions, and although it can only serve as a confirming indicator, it nevertheless, has its weight in many trading decisions ...
Market Clustering with Transdimensional Machine Learning The ability to characterize market day-trading with TML enables tailoring strategies to specific market “personalities”. These “personalities” render it seemingly impossible to trade profitably approximately 40 percent of trading ...
Stock trading models can look enticing, testing them against historical data often reveals a less promising reality. And sometimes the output of a model is itself material for a model with curious correlation to actual ...