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"Analysis of True Risk Lab’s Price Prediction Algorithm in Relation to " by Chris F. Hua
Holmstrom Patton, A. Predicting stock data with traditional time series analysis has proven to be difficult. An artificial neural network may be more suitable for the task. Primarily because no assumption about a suitable mathematical model has to be made prior to forecasting.
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Yue Zhou Follow. Sentiment-based stock prediction systems aim to explore sentiment or event signals from online corpora and attempt to relate the signals to stock price variations. Both the feature-based and neural-networks-based approaches have delivered promising results.