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 ...
Discover how to apply deep learning models to financial data in a disciplined and interpretable way In this post I provide an overview of my new working paper on deep learning and momentum in U.S. ...
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 ...
Taking Advantage of Steepness to Find Trading Signals in Python. Finding signals and patterns inside a random-like market is not an easy job and as such, one has to seek out every possible way to ...
Using Basic Information to Create a Profitable Trading Strategy. Trading strategies are the essence of buying and selling in the markets. Many traders have their reasons to participate. A strategy begins with an idea which ...
In this post I show you how to predict stock prices using a forecasting LSTM model Source
On the dangers of walk-forward backtesting, how to measure them and not feel right, but to be right Source
This rare gem is a trend-following indicator that can be used either as a trading system or as a way to place your stops. We will introduce the intuition of the SuperTrend indicator, code it ...