All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
Let’s take a deeper look into these seven stocks: MongoDB (NASDAQ:MDB) Cloudera (NYSE:CLDR) Elastic (NYSE:ESTC) Teradata Corporation (NYSE:TDC) New Relic (NYSE:NEWR) Datadog (NASDAQ:DDOG) Splunk (NASDAQ:SPLK) Source
Huge set of services and resources Source
Automate the calculation of RSI for a list of stocks, and then analyze its accuracy at predicting future price movements. Source
Explaining Stock Trading Fundamental Analysis Ratios And Retrieving Them Using Python 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 ...
Python and Pandas make it pretty easy to analyze and visualize time series data, even if you’re a beginner. In this crash course, you’ll learn about: Importing packages Making a random time series Transforming data ...
Training a neural network on candlestick charts and then using it to identify patterns on it Source
All these Functions will be tested on a use case, helping you better your analysis and get better insights Source
As an investor, not only do you want to watch your investment grow, you want it to grow as much as possible. However, being far from a sure thing, an investment carries a certain degree ...
Discover how to apply deep learning models to financial data in a disciplined and interpretable way In this post I provide an overview of my new working paper on deep learning and momentum in U.S. ...