Stock prices assessment: proposal of a new index based on volume weighted historical prices through the use of computer modeling

TL;DR

This paper introduces a new, simple index combining historical stock prices and traded volumes using computer modeling, aiming to improve stock assessment and assist investors in decision-making.

Contribution

A novel, mathematically simple index that integrates volume and price data for stock evaluation, filling a gap in existing models.

Findings

The index significantly improved agent performance with real financial data.

The model is mathematically simple yet effective.

The index can help investors determine optimal buy and sell price ranges.

Abstract

The importance of considering the volumes to analyze stock prices movements can be considered as a well-accepted practice in the financial area. However, when we look at the scientific production in this field, we still cannot find a unified model that includes volume and price variations for stock assessment purposes. In this paper we present a computer model that could fulfill this gap, proposing a new index to evaluate stock prices based on their historical prices and volumes traded. Besides the model can be considered mathematically very simple, it was able to improve significantly the performance of agents operating with real financial data. Based on the results obtained, and also on the very intuitive logic of our model, we believe that the index proposed here can be very useful to help investors on the activity of determining ideal price ranges for buying and selling stocks in the financial market.