A Python tool for tracking changes in Google Trends search interest alongside corresponding stock price movements. It uses the pytrends and Polygon.io APIs to explore relationships between public search activity and equity market behavior over time.
Análise de séries temporais aplicada em R para identificar padrões, tendências e realizar previsões a partir de dados observados ao longo do tempo.
Behavioral time-series quant research with synthetic futures modeling and backtesting.
A project leveraging LSTM and XGBoost to analyze and predict energy usage, identify inefficiencies, and optimize costs across buildings, providing actionable insights for energy management and savings.
Enhancing time series forecasting stability with a connected neural dynamical system approach
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