Download PDF Technical analysis is often regarded with skepticism in academic finance. It is frequently associated with delusional day traders who attempt to extract signals from price charts, relying on patterns they believe can be visually identified in candlestick formations. Over time, a vast number of technical indicators have been Read more…
Download PDF Note that this is an academic project and we have no intention to utilize this project in real cash online poker as that goes against services terms of conditions. It is no coincidence that poker is frequently mentioned when discussing the world of trading, and that even firms Read more…
Download PDF Introduction In an era where markets are inundated with data and traditional analysis is continuously challenged by evolving market dynamics, this article was conceived as an attempt to harness machine learning (ML) to capture and exploit momentum signals in financial time series. The central idea was to blend Read more…
Download PDF Abstract In this study, we propose a two-step methodology for the creation and optimization of investment portfolios utilizing machine learning techniques. Our analysis focuses on S&P 500 stocks from 2008 to 2022, incorporating fundamental data, stock prices, and macroeconomic variables as features in our models. The initial phase Read more…
Download PDF Introduction Stock prices forecasting is a deeply researched topic, which has been enhanced by the use of Machine Learning techniques since the late 90s. In this article, we present the main methods and models employed by the current literature, along with our own proprietary model. Literature Review Over Read more…