Artykuły w czasopismach na temat „Stock price prediction”
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BIKSHAM, V., B. VISHAL KUMAR, C. RAHUL, G. VENU i M. BHARGAV SAI. "STOCK PRICE PREDICTION". YMER Digital 21, nr 05 (2.05.2022): 1–6. http://dx.doi.org/10.37896/ymer21.05/01.
Pełny tekst źródłaCheruvu, Sai Manoj. "Stock Price Prediction Using Time Series". International Journal for Research in Applied Science and Engineering Technology 9, nr 12 (31.12.2021): 375–81. http://dx.doi.org/10.22214/ijraset.2021.39296.
Pełny tekst źródłaAl-Hasnawi, Salim Sallal, i Laith Haleem Al-Hchemi*. "CLOSING PRICE PREDICTION OF STOCK LISTED ON THE IRAQ STOCK EXCHANGE USING ANN-LSTM". JURISMA : Jurnal Riset Bisnis & Manajemen 12, nr 2 (30.10.2022): 173–85. http://dx.doi.org/10.34010/jurisma.v12i2.8103.
Pełny tekst źródłaPeng, Luna. "Stock Price Prediction of “Google” based on Machine Learning". BCP Business & Management 34 (14.12.2022): 912–18. http://dx.doi.org/10.54691/bcpbm.v34i.3111.
Pełny tekst źródłaRammurthy, Shruthi Komarla, i Sagar B. Patil. "An LSTM-Based Approach to Predict Stock Price Movement for IT Sector Companies". International Journal of Cognitive Informatics and Natural Intelligence 15, nr 4 (październik 2021): 1–12. http://dx.doi.org/10.4018/ijcini.20211001.oa3.
Pełny tekst źródłaBhavanagarwala, Mustafa Shabbir, Nagarjun K N, Tanzim Abbas Charolia, Vishal M i Ashwini M. "STOCK AND CRYPTOCURRENCY PREDICTION". International Journal of Innovative Research in Advanced Engineering 9, nr 8 (12.08.2022): 182–86. http://dx.doi.org/10.26562/ijirae.2022.v0908.06.
Pełny tekst źródłaTOKMAK, Mahmut. "Stock Price Prediction Using Long-Short-Term Memory Network". Mehmet Akif Ersoy Üniversitesi Uygulamalı Bilimler Dergisi 6, nr 2 (29.09.2022): 309–22. http://dx.doi.org/10.31200/makuubd.1164099.
Pełny tekst źródłaZhong, Shan, i David Hitchcock. "S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data". Statistics, Optimization & Information Computing 9, nr 4 (18.11.2021): 769–88. http://dx.doi.org/10.19139/soic-2310-5070-1362.
Pełny tekst źródłaZhao, Cheng, Xiaohui Liu, Jie Zhou, Yuefeng Cen i Xiaomin Yao. "GCN-based stock relations analysis for stock market prediction". PeerJ Computer Science 8 (11.08.2022): e1057. http://dx.doi.org/10.7717/peerj-cs.1057.
Pełny tekst źródłaL, Dushyanth. "A SURVEY ON STOCK PRICE PREDICTION USING DEEP LEARNING". International Research Journal of Computer Science 9, nr 2 (28.02.2022): 5–8. http://dx.doi.org/10.26562/irjcs.2022.v0902.002.
Pełny tekst źródłaJing, Nan, Qi Liu i Hefei Wang. "Stock price prediction based on stock price synchronicity and deep learning". International Journal of Financial Engineering 08, nr 02 (czerwiec 2021): 2141010. http://dx.doi.org/10.1142/s2424786321410103.
Pełny tekst źródłaYu, Menghan, Panji Wang i Tong Wang. "Application of Hidden Markov Models in Stock Forecasting". Proceedings of Business and Economic Studies 5, nr 6 (7.12.2022): 14–21. http://dx.doi.org/10.26689/pbes.v5i6.4453.
Pełny tekst źródłaSakphoowadon, Surinthip, Nawaporn Wisitpongphan i Choochart Haruechaiyasak. "Predicting stock price movement using effective Thai financial probabilistic lexicon". International Journal of Electrical and Computer Engineering (IJECE) 11, nr 5 (1.10.2021): 4313. http://dx.doi.org/10.11591/ijece.v11i5.pp4313-4324.
Pełny tekst źródłaSerbin, V., i U. Zhenisserov. "ANALYSIS OF MACHINE LEARNING METHODS FOR PREDICTIONS OF STOCK EXCHANGE SHARE PRICES". Scientific Journal of Astana IT University, nr 5 (27.07.2021): 94–100. http://dx.doi.org/10.37943/aitu.2021.47.22.009.
Pełny tekst źródłaAnsah, Kwabena, Ismail Wafaa Denwar i Justice Kwame Appati. "Intelligent Models for Stock Price Prediction". Journal of Information Technology Research 15, nr 1 (styczeń 2022): 1–17. http://dx.doi.org/10.4018/jitr.298616.
Pełny tekst źródłaTalati, Drashti, Dr Miral Patel i Prof Bhargesh Patel. "Stock Market Prediction Using LSTM Technique". International Journal for Research in Applied Science and Engineering Technology 10, nr 6 (30.06.2022): 1820–28. http://dx.doi.org/10.22214/ijraset.2022.43976.
Pełny tekst źródłaShrikhande, Paresh, Raghu Ramani i Rushi Bhalerao. "Stock Market Analysis and Prediction". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 1254–63. http://dx.doi.org/10.22214/ijraset.2022.42239.
Pełny tekst źródłaHersugondo, Hersugondo, Imam Ghozali, Eka Handriani, Trimono Trimono i Imang Dapit Pamungkas. "Price Index Modeling and Risk Prediction of Sharia Stocks in Indonesia". Economies 10, nr 1 (6.01.2022): 17. http://dx.doi.org/10.3390/economies10010017.
Pełny tekst źródłaPeñalvo, Francisco José García, Tamanna Maan, Sunil K. Singh, Sudhakar Kumar, Varsha Arya, Kwok Tai Chui i Gaurav Pratap Singh. "Sustainable Stock Market Prediction Framework Using Machine Learning Models". International Journal of Software Science and Computational Intelligence 14, nr 1 (1.01.2022): 1–15. http://dx.doi.org/10.4018/ijssci.313593.
Pełny tekst źródłaLi, Jianyao. "A Comparative Study of LSTM Variants in Prediction for Tesla’s Stock Price". BCP Business & Management 34 (14.12.2022): 30–38. http://dx.doi.org/10.54691/bcpbm.v34i.2861.
Pełny tekst źródłaKadam, Mr Yash, Mr Sujay Kulkarni, Mr Suyog Lonsane i Prof Anjali S. Khandagale. "A Survey on Stock Market Price Prediction System using Machine Learning Techniques". International Journal for Research in Applied Science and Engineering Technology 10, nr 3 (31.03.2022): 322–30. http://dx.doi.org/10.22214/ijraset.2022.40635.
Pełny tekst źródłaJaiswal, Rupashi, Kunal Mahato, Pankaj Kapoor i Sudipta Basu Pal. "A Comparative Analysis on Stock Price Prediction Model using DEEP LEARNING Technology". American Journal of Electronics & Communication 2, nr 3 (3.01.2022): 12–19. http://dx.doi.org/10.15864/ajec.2303.
Pełny tekst źródłaPrasetyo, Dian Angga, i Rofikoh Rokhim. "Indonesian Stock Price Prediction using Deep Learning during COVID-19 Financial Crisis". International Journal of Business, Economics, and Social Development 3, nr 2 (6.05.2022): 64–70. http://dx.doi.org/10.46336/ijbesd.v3i2.273.
Pełny tekst źródłaZheng, Hongying, Hongyu Wang i Jianyong Chen. "Evolutionary Framework with Bidirectional Long Short-Term Memory Network for Stock Price Prediction". Mathematical Problems in Engineering 2021 (5.10.2021): 1–8. http://dx.doi.org/10.1155/2021/8850600.
Pełny tekst źródłaHorák, Jakub, i Tomáš Krulický. "Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company". SHS Web of Conferences 61 (2019): 01006. http://dx.doi.org/10.1051/shsconf/20196101006.
Pełny tekst źródłaCheng, Li-Chen, Yu-Hsiang Huang, Ming-Hua Hsieh i Mu-En Wu. "A Novel Trading Strategy Framework Based on Reinforcement Deep Learning for Financial Market Predictions". Mathematics 9, nr 23 (30.11.2021): 3094. http://dx.doi.org/10.3390/math9233094.
Pełny tekst źródłaIslam, Noman, Misbah Afzal, Muhammad Arsal Wali i Hamza Shakeel. "Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric". Pakistan Journal of Engineering and Technology 5, nr 2 (28.09.2022): 226–33. http://dx.doi.org/10.51846/vol5iss2pp226-233.
Pełny tekst źródłaMishra, Shambhavi, Tanveer Ahmed, Vipul Mishra, Sami Bourouis i Mohammad Aman Ullah. "An Online Kernel Adaptive Filtering-Based Approach for Mid-Price Prediction". Scientific Programming 2022 (16.02.2022): 1–13. http://dx.doi.org/10.1155/2022/3798734.
Pełny tekst źródłaChang, Zhichao, i Zuping Zhang. "Judging Stock Trends According to the Sentiments of Stock Comments in Expert Forums". Electronics 12, nr 3 (1.02.2023): 722. http://dx.doi.org/10.3390/electronics12030722.
Pełny tekst źródłaSaud, Arjun Singh, i Subarna Shakya. "Analysis of Gradient Descent Optimization Techniques with Gated Recurrent Unit for Stock Price Prediction: A Case Study on Banking Sector of Nepal Stock Exchange". Journal of Institute of Science and Technology 24, nr 2 (31.12.2019): 17–21. http://dx.doi.org/10.3126/jist.v24i2.27247.
Pełny tekst źródłaKITA, Eisuke, Masaaki Harada i Takao Mizuno. "Application of Bayesian Network to stock price prediction". Artificial Intelligence Research 1, nr 2 (26.09.2012): 171. http://dx.doi.org/10.5430/air.v1n2p171.
Pełny tekst źródłaKaninde, Sumedh, Manish Mahajan, Aditya Janghale i Bharti Joshi. "Stock Price Prediction using Facebook Prophet". ITM Web of Conferences 44 (2022): 03060. http://dx.doi.org/10.1051/itmconf/20224403060.
Pełny tekst źródłaCao, Mengya. "Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language". Journal of Mathematics 2021 (10.12.2021): 1–10. http://dx.doi.org/10.1155/2021/1275637.
Pełny tekst źródłaJin, Beijia, Shuning Gao i Zheng Tao. "ARIMA and Facebook Prophet Model in Google Stock Price Prediction". Proceedings of Business and Economic Studies 5, nr 5 (21.10.2022): 60–66. http://dx.doi.org/10.26689/pbes.v5i5.4386.
Pełny tekst źródłaChen, Fang, Jinglun Gao i Zhiwen Zhang. "US Stocks Market Movements Prediction: Classification of SP-500 Using Machine Learning Technology". BCP Business & Management 26 (19.09.2022): 1043–50. http://dx.doi.org/10.54691/bcpbm.v26i.2068.
Pełny tekst źródłaZhang, Junhao, i Yifei Lei. "Deep Reinforcement Learning for Stock Prediction". Scientific Programming 2022 (30.04.2022): 1–9. http://dx.doi.org/10.1155/2022/5812546.
Pełny tekst źródłaZhu, Tianlei, Yuexin Liao i Zheng Tao. "Predicting Google’s Stock Price with LSTM Model". Proceedings of Business and Economic Studies 5, nr 5 (21.10.2022): 82–87. http://dx.doi.org/10.26689/pbes.v5i5.4361.
Pełny tekst źródłaVochozka, Marek, Jakub Horak i Tomas Krulicky. "Innovations in Management Forecast: Time Development of Stock Prices with Neural Networks". Marketing and Management of Innovations, nr 2 (2020): 324–39. http://dx.doi.org/10.21272/mmi.2020.2-24.
Pełny tekst źródłaYan, Qiuyu. "The Stock Price Analysis of Netflix Prediction". BCP Business & Management 34 (14.12.2022): 964–68. http://dx.doi.org/10.54691/bcpbm.v34i.3117.
Pełny tekst źródłaTeng, Xiao, Tuo Wang, Xiang Zhang, Long Lan i Zhigang Luo. "Enhancing Stock Price Trend Prediction via a Time-Sensitive Data Augmentation Method". Complexity 2020 (17.02.2020): 1–8. http://dx.doi.org/10.1155/2020/6737951.
Pełny tekst źródłaNagaya, Shigeki, Zhang Chenli i Osamu Hasegawa. "A Proposal of Stock Price Predictor Using Associated Memory". Journal of Advanced Computational Intelligence and Intelligent Informatics 15, nr 2 (20.03.2011): 145–55. http://dx.doi.org/10.20965/jaciii.2011.p0145.
Pełny tekst źródłaBhatia, Sahil. "Stock Price Trend Prediction". International Journal for Research in Applied Science and Engineering Technology 8, nr 6 (30.06.2020): 1787–92. http://dx.doi.org/10.22214/ijraset.2020.6293.
Pełny tekst źródłaLiu, Hui, Liangchen Qi i Mingsong Sun. "Short-Term Stock Price Prediction Based on CAE-LSTM Method". Wireless Communications and Mobile Computing 2022 (22.06.2022): 1–7. http://dx.doi.org/10.1155/2022/4809632.
Pełny tekst źródłaMahtab, Md Tanvir, A. G. M. Zaman, Montasir Rahman Mahin, Mohammad Nazim Mia i Md. Tanjirul Islam. "Stock Price Prediction: An Incremental Learning Approach Model of Multiple Regression". AIUB Journal of Science and Engineering (AJSE) 21, nr 3 (31.12.2022): 159–66. http://dx.doi.org/10.53799/ajse.v21i3.490.
Pełny tekst źródłaChen, Ruoyang, i Bin Pan. "Chinese Stock Index Futures Price Fluctuation Analysis and Prediction Based on Complementary Ensemble Empirical Mode Decomposition". Mathematical Problems in Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/3791504.
Pełny tekst źródłaDai, Shu Yan, i Ning Li. "Using SVM to Predict Stock Price Changes from Online Financial News". Applied Mechanics and Materials 157-158 (luty 2012): 1586–90. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1586.
Pełny tekst źródłaJi, Xuan, Jiachen Wang i Zhijun Yan. "A stock price prediction method based on deep learning technology". International Journal of Crowd Science 5, nr 1 (5.03.2021): 55–72. http://dx.doi.org/10.1108/ijcs-05-2020-0012.
Pełny tekst źródłaKolte, Geeta, Varadraj Kini, Harikrishnan Nair i Prof Suresh Babu K. S. "Stock Market Prediction using Deep Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 4 (30.04.2022): 26–32. http://dx.doi.org/10.22214/ijraset.2022.41159.
Pełny tekst źródłaIlyas, Qazi Mudassar, Khalid Iqbal, Sidra Ijaz, Abid Mehmood i Surbhi Bhatia. "A Hybrid Model to Predict Stock Closing Price Using Novel Features and a Fully Modified Hodrick–Prescott Filter". Electronics 11, nr 21 (3.11.2022): 3588. http://dx.doi.org/10.3390/electronics11213588.
Pełny tekst źródłaPawaskar, Shreya. "Stock Price Prediction using Machine Learning Algorithms". International Journal for Research in Applied Science and Engineering Technology 10, nr 1 (31.01.2022): 667–73. http://dx.doi.org/10.22214/ijraset.2022.39891.
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