Evaluating company growth is essential in direct stock investing. Fast-growing companies tend to offer higher returns and better investment opportunities. Why? Because such companies can expand their market share, innovate, and increase profitability. For example, a company with consistent revenue growth can reinvest profits into new projects. This fuels further expansion and creates more value…
The Stock Engine is a web application designed for fundamental analysis of stocks. It offers tools like the Big Screener and Pre-Built Screeners to filter stocks. There is also detailed stock pages providing insights on intrinsic value, price trends, and Overall Score to its stocks based on six key parameters. MyStockEngine is not just a…
Evaluating Company profitability can be complex. It is especially true when we are comparing different-sized companies. In this article I’ll give you a peep inside the algorithm of my Stock Engine. The article will introduce you to a refined scoring system that considers average profitability, consistency, and company size. By normalizing and weighting key factors,…
Our Stock Engine’s effectiveness does not come from its fancy reporting style. It comes from its underlying algorithm that makes the complicated stock analysis more interpretable for its users. Ultimately, the purpose of any stock tool is to highlight if a stock is worth investing or not. The latest update is focused completely on making…
The purpose of this blog is to highlight how a user can use The Stock’s Engine to analyze stocks online. One of my acquaintances was using a free portal for stock analysis. Recently, I showed him our Stock Engine. He immediately commented, “these are the answers that I wanted from a stock portal. Though The…
Among other metrics, our stock screener stands out because of two important numbers, the overall score, and intrinsic value. The intrinsic value of stocks is estimated based on a few standard financial models like DCF and a few of my own algorithms and logic. But the overall score-rendering proved to be more complicated. Why? Because…
