All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
A stock price is a given for every share issued by a publicly traded company. The price is a reflection of the company’s value — what the public is willing to pay for a piece of the company. It can and will rise ...
This blog will teach you how to pull the necessary data and create a model that forecasts the price of the S&P 500! Source
To begin, let’s first understand the goal of this article, which is to provide the average retail investor with a quick and easy way to pull live data, use that data to highlight key indicators ...
Probabilistic Machine Learning comes hand in hand with Stock Trading: Probabilistic Machine Learning uses past instances to predict probabilities of certain events happening in future instances. This can be directly applied to stock trading, to ...
In our daily lives we interact with chatbot customer services, e-mail spam detections, voice recognition, language translation, or stock market predictions. These artificial intelligence products are powered by Recursive Neural Network (RNN), Long Short-Term Model ...
Forecasting Stock Prices with Neural Networks containing Multivariable Inputs from Technical Analysis Source
When you get started with machine learning, you learn to use linear regression to predict numeric values and logistic regression to predict binary variables. You then learn several other popular methods: Nearest neighbors, support vector ...
This post covers the basics of the alpha research process. ziplineand alphalens are used to manage the pipeline and measure the performance in a way to be explicit about the quantitative process. You can check ...
In this post, I’m going to explore machine learning algorithms for time-series analysis and explain why they don’t work for day trading. If you’re a novice in this field you might get fooled by authors ...
The MACD is a momentum-focused price indicator. It utilizes the exponential moving averages of the last 12 and 26 days’ closing price to predict future trends. After analyzing the historical data of over a thousand ...