If you’re watching Billions and wonder what it would take to build out a bot to do all the trading for you, Computer Science posted this video about creating an algorithmic trading strategy Using Python
Computer Science posted a great video tutorial showing how to create a stock price prediction algorithm with Python & Machine Learning (LSTM).
Cointelegraph examines how the blockchain industry is blossoming in South Korea, which has become the world’s third-largest crypto economy.
Rising from the ashes of the last speculative frenzy, a new generation of Korean entrepreneurs are investing in real use cases and building the future of crypto.
Predicting the stock market is one of the most difficult things to do given all the variables. There are numerous factors involved – physical factors vs. psychological, rational and irrational behavior, etc. All these aspects combine to make share prices volatile and very difficult to predict accurately.
In this article, we will work with historical data about the stock prices of a publicly listed company. We will implement a mix of machine learning algorithms to predict the future stock price of this company, starting with simple algorithms like averaging and linear regression, and then move on to advanced techniques like Auto ARIMA and LSTM.