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 ...
Predictive model using a machine learning algorithm Source
I’m in the process of developing a crypto trading bot in Python. I’ve been writing a series of articles documenting the progress. The Github repo can be found here. Source
Natural gas is an important energy source for much of our industrial, heating and electricity needs. The price of natural gas can fluctuate greatly. I made a time series analysis with external regressors to investigate ...
A Practical Example of Stock Prices Predictions with LSTM using Keras TensorFlow Source