Quant LSTM Intelligence Suite — Forecasting, Sentiment & Regime Detection
Francisco Luis de Avelar Cardoso
Published
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An end-to-end quantitative finance dashboard combining deep learning, econometrics, and NLP.
This Streamlit application integrates:
LSTM + quantile regression for multi-asset price forecasting
RoBERTa-based sentiment analysis to track market psychology
Regime change detection using structural break analysis
Built to demonstrate how modern ML models can be validated, interpreted, and used in real-world trading and risk management workflows, with interactive visualizations and multi-asset support (crypto, FX, equities).