Results 1 to 10 of about 246,479 (143)

Study on the application of LSTM-LightGBM Model in stock rise and fall prediction [PDF]

MATEC Web of Conferences, 2021
This paper proposes a hybrid financial time series forecast model based on LSTM and LightGBM, namely LSTM_LightGBM model. Use the LightGBM model to train the processed stock historical data set, and save the training results.
Guo Yuankai, Li Yangyang, Xu Yuan
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Prediction of stock price index using gray model [PDF]

فصلنامه بورس اوراق بهادار, 2021
Stock market prediction is considered as a challenging task in the area of forecasting of financial time series. The main reason for this is the lack of certainty about how the stock market moves.
Rostam Ranjbar Navi, Ali Arshadi, Hassan Chenari   +2 more
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STOCK MARKET PRICE PREDICTION

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
In this paper we would briefly look into how stock market prices prediction is done using various algorithms and the working behind them. Primarily we have used two algorithms for predicting the stock prices namely LSTM and Sequential algorithm. This model can be used for investing in the right stocks for yielding high-profitable returns .Stock ...
V Koushik, J.Lenin Vignesh, A.Siva Gnana Krishna, K Gowthami   +3 more
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Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis [PDF]

International Journal of Research in Industrial Engineering, 2023
Investigating stock price trends and determining future stock prices have become focal points for researchers within the finance sector. However, predicting stock price trends is a complex task due to the multitude of influencing factors.
Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl, Saeed Rahimian   +2 more
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Progress and prospects of data-driven stock price forecasting research

International Journal of Cognitive Computing in Engineering, 2023
With the rapid development of social economy and the continuous improvement of stock market, stock investment has become more and more widely concerned. Stock price prediction has become an important research direction in the field of cognitive computing
Chuanjun Zhao, Meiling Wu, Jingfeng Liu, Zening Duan, Jie li, Lihua Shen, Xuekui Shangguan, Donghang Liu, Yanjie Wang   +8 more
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Hybrid Information Mixing Module for Stock Movement Prediction

IEEE Access, 2023
With the continuing active research on deep learning, research on stock price prediction using deep learning has been actively conducted in the financial industry. This paper proposes a method for predicting stock price movement using stock and news data.
Jooweon Choi, Shiyong Yoo, Xiao Zhou, Youngbin Kim   +3 more
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Research on stock price prediction from a data fusion perspective

Data Science in Finance and Economics, 2023
Due to external factors such as political influences, specific events and sentiment information, stock prices exhibit randomness, high volatility and non-linear characteristics, making accurate predictions of future stock prices based solely on ...
Aihua Li , Qinyan Wei, Yong Shi, Zhidong Liu   +3 more
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Knowledge graph and deep learning combined with a stock price prediction network focusing on related stocks and mutation points

Journal of King Saud University: Computer and Information Sciences, 2022
Due to the interaction of many factors in the stock market, stock price prediction has always been a challenging problem in the field of machine learning.
Meiyao Tao, Shanshan Gao, Deqian Mao, Hong Huang   +3 more
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Market Confidence Predicts Stock Price: Beyond Supply and Demand. [PDF]

PLoS ONE, 2016
Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors ...
Xiao-Qian Sun, Hua-Wei Shen, Xue-Qi Cheng, Yuqing Zhang   +3 more
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Stock Price Prediction System

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023
To determine the future stock value of a company is the main purpose of stock price prediction there is a continuous change in the price of stocks which is affected by different industries and market conditions. The high dimensionality of data is a challenge for machine learning models because highly correlated dimensions/attributes may exert influence
null Prof. Sulochana Sonkamble, null Vaibhav Vyas, null Prathamesh Shimpi, null Aniket Mule, null Mihir Sonawane   +4 more
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