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Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors a...
The dataset used in the paper for stock movement and volatility prediction from tweets, macroeconomic factors and historical prices. -
A Machine Learning Model for Stock Market Prediction
The proposed model is based on the study of historical data, technical indicators and optimizing LS-SVM with PSO algorithm to be used in the prediction of daily stock prices. -
NASDAQ, NYSE, and SSE Stock Market Datasets
The dataset used in this paper contains stock indicators of NASDAQ, NYSE, and SSE.
