How to enable automated trading engines to cope with news-related liquidity shocks? Extracting signals from unstructured data
We propose a text-mining system that forecasts liquidity after news releases. We show how to incorporate financial domain knowledge within knowledge discovery. The proposed system is capable to extract signals from unstructured data. A novel simulation-based evaluation shows superiority to a benchmark approach.
automated trading liquidity forecasting text mining e-finance simulation