Astock
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Updated
Jul 26, 2023 - Jupyter Notebook
Astock
π Study on Interpretable Transformer Model for Multi-step Stock Price Movement Forecasting
Datasets collection for stock price prediction.
π Time-Series Stock Movement Study π A rigorous Python time-series forecasting focusing on temporal intra-day stock market data. Evaluates various machine learning models and ensembling techniques to predict S&P500 stock trends, offering a sector-agnostic lens and showcasing the potency of interpretable models in financial prediction
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