When Covid arrived, I decided to follow the give-back movement and leave my comfort zone to put my long experience of over 50 years of broad and varied activity available to those who needed it. Especially young people who face a much more unpredictable and different reality than their grandparents and parents at their age. I observe that there is not an adequate knowledge of finance which is indispensable for having a satisfactory quality of life. I decided to focus on this aspect. I created an innovative training system based on the practical application’s observation to make the learning process permanent and essential, which arouse curiosity and push to deepen.
During my life, I have observed young people’s main problems that affect the quality of life: to ensure their children’s education and the prospect of a peaceful retirement. They are real problems because many people cannot save how much it would take. The training solution I propose consists of creating favorable conditions for generating small funds permanently, which then everyone can grow independently over the years, combining time and compound interest. I decided to take care only of the first part of the solution. For the second part, I suggest how to do it, but you must choose an expert advisor. If this solution will be used for years, there should be both money for the children and the pension when needed. To create a tool potentially to generate small, continuous funds, I combined my passion for mathematics with my finance experience. I took the stock market as a basis and created an algorithm that identifies, every day, some bundles up to 10 stocks to observe, valid only for that day and sell in the evening. Day by day is to avoid people’s anxiety. This process could generate small numbers that, over time, become a mountain (the anecdote of wheat grains?). To make it easier to implement the solution and avoid discrimination against non-yet-experts, I have also created a platform that, as an external and open-source free service, for those who wish, automates the relationship with their trusted broker. To fine-tune the algorithm and create the platform, I involved a talented young engineer I have known for some time and have complete confidence in. His contribution was decisive in many respects, and together, we did a great job: MPW is already operational and adequately tested. In this phase, the algorithm extracts the stocks only from the New York Stock Exchange, but all the leading world stock exchanges are on the program. In the project, we paid attention to the ethical aspects. I’m not a professional trader, or consultant, or legal.