Farewell RNNs, Welcome TCNs
How Temporal Convolutional Networks are moving in favor of Sequence Modeling — Stock Trend Prediction. Source
All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
How Temporal Convolutional Networks are moving in favor of Sequence Modeling — Stock Trend Prediction. Source
As a way to identify new companies to invest in, I like to watch out for the biggest market movers each day. However, there are thousands of stocks out there, and checking the news for ...
Practical guide for pandas and Altairs Stock price analysis is an example of time series analysis which is one of the primary areas in predictive analytics. Time series data contains measurements or observations attached to ...
Algorithmic or Quantitative trading can be defined as the process of designing and developing statistical and mathematical trading strategies. It is an extremely sophisticated area of finance.Source
Presenting the Lucas Series as a Complement to Trading. Source
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 ...
This post shall explore the steps involved in building a stock Movement classifier. Source
Using pipelines to optimize machine learning models One way machine learning is used in the finance industry is to analyze and predict the movement of stock prices. In regards to the technique of fundamental analysis ...
Building a Quantitative Analysis Tool for Researchers & Neural Networks Source
This past summer, my grandfather taught me the tips and tricks of investing in the stock market. We did detailed analyses of various companies, comparing profit margins, price to earnings, and other aspects of company ...