A Data Mining and Analysis Platform for Investment Recommendations

This article describes the development of a recommender system to obtain buy/sell signals from the results of technical analyses and of forecasts performed for companies operating in the Spanish continuous market. It has a modular design to facilitate the scalability of the model and the improvement of functionalities. The modules are: analysis and data mining, the forecasting system, the technical analysis module, the recommender system, and the visualization platform. The specification of each module is presented, as well as the dependencies and communication between them. Moreover, the proposal includes a visualization platform for high-level interaction between the user and the recommender system. This platform presents the conclusions that were abstracted from the resulting values.

Automated summary

This article describes the development of a recommender system for obtaining buy/sell signals from technical analyses and forecasts of companies in the Spanish continuous market, which has a modular design for scalability and improved functionality. The system includes modules for analysis, data mining, forecasting, technical analysis, recommendation, and visualization, with a platform for user interaction and presentation of conclusions from abstracted values.