RLirri / Synthetic-Financial-Data-Predictive-Modeling-with-CGANs-and-LSTM-Insights-from-2008-CrisisView on GitHub
An advanced Conditional Generative Adversarial Network (CGAN) and LSTM-based hybrid framework for generating synthetic financial data and predicting market movements. Features include attention mechanisms, stress-testing under the 2008 financial crisis, and integration of technical indicators for enhanced predictive accuracy.
☆14Dec 14, 2024Updated last year
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