Searching for Forecasting Stock Market Movement Direction With Support Vector Machine Pdf information? Find all needed info by using official links provided below.
https://www.sciencedirect.com/science/article/pii/S0305054804000681
In this paper, we study the use of support vector machines to predict financial movement direction. SVM is a promising type of tool for financial forecasting. As demonstrated in our empirical analysis, SVM is superior to the other individual classification methods in forecasting weekly movement direction of NIKKEI 225 Index.Cited by: 896
https://www.researchgate.net/publication/222570103_Forecasting_stock_movement_direction_with_support_vector_machine
Forecasting stock movement direction with support vector machine Article in Computers & Operations Research 32(10):2513-2522 · October 2005 with 583 Reads How we measure 'reads'
https://www.researchgate.net/publication/271885419_Forecasting_stock_market_movement_direction_with_support_vector_machine
Forecasting stock market movement direction with support vector machine Article in Computers & Operations Research 32 · May 2004 with 158 Reads How we measure 'reads'
https://www.semanticscholar.org/paper/Forecasting-stock-market-movement-direction-with-Huang-Nakamori/ed036a6f69d192c98a750e8b937061eecf1aba50
Support vector machine (SVM) is a very specific type of learning algorithms characterized by the capacity control of the decision function, the use of the kernel functions and the sparsity of the solution. In this paper, we investigate the predictability of financial movement direction with SVM by forecasting the weekly movement direction of NIKKEI 225 index. To evaluate the forecasting ...
https://ieeexplore.ieee.org/document/8326522/
Mar 27, 2018 · Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine Abstract: Investor sentiment plays an important role on the stock market. User-generated textual content on the Internet provides a precious source to reflect investor psychology and predicts stock prices as a complement to stock market data.Cited by: 9
https://www.cs.princeton.edu/sites/default/files/uploads/saahil_madge.pdf
Predicting Stock Price Direction using Support Vector Machines Saahil Madge Advisor: Professor Swati Bhatt Abstract Support Vector Machine is a machine learning technique used in recent studies to forecast stock prices. This study uses daily closing prices for 34 …Cited by: 8
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