All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
2020 is (finally!) coming to an end and investors are eager to share their stock market predictions for the upcoming year. I’d been feeling the itch to work on a side project for a while ...
Using the Technical Analysis (TA) library, we can acquire 40+ technical indicators for any stock. Source
We will perform sentiments analysis using a News API for predicting Amazon (AMZN) stock price using Python Sentiments analysis of news has become one of the most robust ways of generating buy/sell signals for stocks ...
Using a Vanilla LSTM for Stock Predictions Time-series is a data format that is very tough to manage. Compared to cross-sectional data, a data format to which you can directly apply machine learning algorithms without ...
In this post I show you how to predict stock prices using a forecasting LSTM model Source
I have tested in real-time the implementation coded with Python of a famous mathematical technics to predict market movement (Bollinger Band) to check the gap between theory and reality. And here is the result. Source
A case study with technical analysis, feature selection, accuracy score & bias-variance trade-off Source
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
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 ...