Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Replicating a Trading Strategy by Means of LSTM for Financial Industry Applications
A LSTM-based method for stock returns prediction: A case study of China stock market
Trading in financial markets using pattern recognition optimized by genetic algorithms
A New Forecasting Framework for Bitcoin Price with LSTM
Large-Batch Training for LSTM and Beyond
Stock price prediction using LSTM, RNN and CNN-sliding window model
Reinforcement learning by backpropagation through an LSTM model/critic
Behavior based learning in identifying High Frequency Trading strategies
High-Frequency Equity Index Futures Trading Using Recurrent Reinforcement Learning with Candlesticks
Stock market forecasting using recurrent neural network
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
LSTM can Solve Hard Long Time Lag Problems
Implementation and Optimization of the Accelerator Based on FPGA Hardware for LSTM Network
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
Restricted Boltzmann Machines for the Prediction of Trends in Financial Time Series
Nested LSTMs
Trend Recalling Algorithm for Automated Online Trading in Stock Market
An empirical methodology for developing stockmarket trading systems using artificial neural networks
An interpretable LSTM neural network for autoregressive exogenous model
machine learning for market microstructure and high frequency trading ∗ .
Forex trading prediction using linear regression line, artificial neural network and dynamic time warping algorithms
LLC resonant inverter for induction heating with asymmetrical voltage-cancellation control
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
A type system for higher-order modules
Cybersecurity of SCADA Systems: Vulnerability assessment and mitigation
Learning ReLUs via Gradient Descent