<ul><li>The stock market presents challenges in forecasting stock price movements in quantitative finance.</li><li>The CSPO framework introduces an effective deep neural architecture to leverage external futures knowledge and enhance predictive capability.</li><li>CSPO incorporates pseudo-volatility to model stock-specific forecasting confidence, improving accuracy and robustness.</li><li>Extensive experiments demonstrate CSPO's superior performance over existing methods and effectiveness of proposed modules.</li></ul>

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization

Discover more