A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks

Abstract

In this paper, we implement a combination of technical analysis and machine/deep learning-based analysis to build a trend classification model. The goal of the paper is to apprehend short-term market movement, and incorporate it to improve the underlying stochastic model. Also, the analysis presented in this paper can be implemented in a model-independent fashion. We execute a data-science-driven technique that makes shortterm forecasts dependent on the price trends of current stock market data. Based on the analysis, three different labels are generated for a data set: +1 (buy signal), 0 (hold signal), or −1 (sell signal). We propose a detailed analysis of four major stocks-Amazon, Apple, Google, and Microsoft. We implement various technical indicators to label the data set according to the trend and train various models for trend estimation. Statistical analysis of the outputs and classification results are obtained.

Analyzing Microsoft stock price trends, factors, and market efficiency for optimal investment strategies

“…Ekapure et al laid the groundwork for this discourse by introducing predictive models that have been rigorously verified in this paper [1]. These models are not merely academic exercises; Ekapure et al hold the potential to be instrumental in shaping investment decisions [1].…”

“…Ekapure et al laid the groundwork for this discourse by introducing predictive models that have been rigorously verified in this paper [1]. These models are not merely academic exercises; Ekapure et al hold the potential to be instrumental in shaping investment decisions [1]. By offering a clearer glimpse into the anticipated movements of Microsoft's stock price, they furnish investors with a robust framework for decision-making [1].…”

“…These models are not merely academic exercises; Ekapure et al hold the potential to be instrumental in shaping investment decisions [1]. By offering a clearer glimpse into the anticipated movements of Microsoft's stock price, they furnish investors with a robust framework for decision-making [1]. Strategic investing is about more than just predictions; it's about making informed decisions that align with one's financial goals and risk tolerance.…”