Dynamical System for Prediction on Stock Market Behavior

Stock Market has a volatile behavior that makes it difficult to predict with accuracy and no specific model. Multiple quantitative, qualitative, uncontrollable, and controllable factors affect the behavior and value of the market prices. Dynamical Systems allow us to build models to describe a behavior over time, depending on the variables the are chosen to measure it. Among variables used: company news (fundings, scandals), political situations (Treaties, Conflicts, War, Elections), calendar days (seasons, holidays). All these variables affect the behavior of the stock market in different magnitudes, which dictates how the market will respond in the future.