All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
For the past several months I’ve been scraping data on stock trading by U.S. congressmen and creating visualizations such as the one below showing weekly net stock purchases by senators alongside the market. Source
Extract optimal asset weights for your portfolio using Python Source
Learn how investors monitor stock volatility and risk with betas & how to calculate your own in Python. Source
Using NLP and Granger causality to analyze the relationship between the sentiment of a written article and a stock’s price Source
These artificial intelligence products are powered by Recursive Neural Network (RNN), Long Short-Term Model (LSTM) and Gated recurrent unit (GRU), of an important branch of deep learning that deliver superior predictions for sequential data such ...
Detailed Step-by-step Guide to Obtaining Company Data and Calculating Intrinsic Value of a Stock, Web App Included Source
Why 99.99% of Machine Learning algorithms never truly work Source
Stock Trading Strategy Using On-Balance Volume (OBV) & Python Source
Utilizing Machine Learning for Stock Fundamental Analysis Source 1 Source 2
The A-Z guide on how to maximize the efficiency of a stock-investing portfolio using ML. Source