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Found 4 papers, 1 papers with code
DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks
In general, traders test their trading strategies by applying them on the historical market data (backtesting), and then apply to the future trades the strategy that achieved the maximum profit on such past data.
A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron
Stock market forecasting is a lucrative field of interest with promising profits but not without its difficulties and for some people could be even causes of failure.
A Novel Resampling Technique for Imbalanced Dataset Optimization
In this work, we developed two versions of Generative Silhouette Resampling 1-Nearest Neighbour (G1Nos) oversampling algorithms for dealing with class imbalance problem.
Dataset Optimization Strategies for MalwareTraffic Detection
Machine learning is rapidly becoming one of the most important technology for malware traffic detection, since the continuous evolution of malware requires a constant adaptation and the ability to generalize.
