An innovative fintech platform designed to help Brazilian middle-class investors safely enter the Stocks Market through intelligent, algorithimically and AI driven portfolio management. Our solution addresses the common barriers that prevent everyday Brazilians from investing: lack of time to study economics, fear of investment scams, the supossed complexity in the Stocks Market, which puts them in traditional investment methods like INSS, Renda Fixa, and Poupança, which have little to no return over time. Our intention is to help users invest based on proven value-based strategies to pick stocks, manage Dollar-Cost Average (DCA) and maximize Buy & Hold, decreasing the user's FOMO and fear of the market through automations like those mentioned below, educating the user in the proccess about the Stocks Market.
The platform features a series of custom models and algorithms called MUSA (Mansa's Unsupervised Stocks Analyst) trained on robust datasets and algorithms related to the Brazilian Stock Market and economics. Our system analyzes market patterns and trends, builds and manages portfolios and gives an in-depth analysis through our models and RAG features, like the Aladdin by BlackRock, Inc.
This project is being developed as our Final Paper for the Systems Development course at Colégio Técnico de Limeira - UNICAMP, by @heitorrosa, @gomesdevs, @PedroHCiolfi and @PCarniello.
- [1] Raio-X do Investidor Brasileiro - 8ª edição (ANBIMA, 2025)
- [2] AlphaX: An AI-Based Value Investing Strategy for the Brazilian Stock Market (CASTRO, 2025)
- [3] Cenário da Poupança e dos Investimentos dos Brasileiros (CVM; SPC BRASIL, 2018)
- [4] Educação Financeira: As Opções da Nova Classe Média no Brasil (MENDES; FERREIRA, 2012)
- [5] O Impacto das Fintechs na Democratização dos Serviços Financeiros (PEREIRA et al., 2024)
- [6] A relevância da participação do investidor brasileiro pessoa física na B3 (SILVA et al., 2019)
This project is developed and maintained by students working on their Final Paper. If you find this project interesing and would like to support our development efforts, any financial contribution would be greatly appreciated and help us continue improving this work.
You can support us through:
For questions or suggestions about the project, contact us through our email [email protected].
This project is under our custom license - see the LICENSE file for details.
