All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
In the real world, analyzing data, learning how to ‘automate the boring stuff,’ creating ETL pipelines and dashboards, and guiding stakeholders or clients to the correct path often delivers much more value. More data teams ...
There are two analyses in a stock price analysis — fundamental analysis and technical analysis. Fundamental analysis is focused on analysis of the company’s future growth based on current business environment and financial performance such ...
Because data also have something to say… Source
In this post, I show you how to predict stock prices using a forecasting model publicly available from the Facebook Data Science team: The Prophet Source
On the web interface, you can simply start from choosing your ML model type, then adjusting hyperparameters of the model and finally selecting your evaluation metrics. Source
Multiverse Computing worked with major banks like BBVA and Bankia to solve real world problems in finance using a D-Wave quantum computers. In a project with Bankia, they tackled the problem of dynamic portfolio optimization ...
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 ...
In this tutorial we’ll make a Machine Learning Pipeline that inputs News and applies NLP to generate predictions for Amazon Stock Price re-training through time. Source
Support and Resistance lines are defined as certain levels of the assets price at which the price action may stop and/or reverse due to a larger number of interested investors in those price levels. They ...