RNNs predict price-flips in limit order books, reducing adverse selection.
problem Predicting price-flips in limit order books to reduce adverse selection.
method Recurrent Neural Networks (RNNs) applied to high-frequency trading data.
result RNNs capture non-linear relationships and outperform other classifiers.