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Stock market prediction using supervised machine learning techniques: An overview
Stock price prediction is one of the most extensively studied and challenging glitches, which
is acting so many academicians and industries experts from many fields comprising of …
is acting so many academicians and industries experts from many fields comprising of …
[HTML][HTML] Stock market prediction using deep reinforcement learning
Stock value prediction and trading, a captivating and complex research domain, continues to
draw heightened attention. Ensuring profitable returns in stock market investments demands …
draw heightened attention. Ensuring profitable returns in stock market investments demands …
Spatial federated learning approach for the sentiment analysis of stock news stored on blockchain
NN Sakhare, IS Shaik - Spatial Information Research, 2024 - Springer
Sentiment analysis can be a useful tool in predicting stock market trends, as it allows us to
gauge the overall sentiment towards a particular stock or company. When combined with …
gauge the overall sentiment towards a particular stock or company. When combined with …
Retracted: Prediction of stock market movement via technical analysis of stock data stored on blockchain using novel History Bits based machine learning algorithm
NN Sakhare, IS Shaik, S Saha - IET Software, 2023 - Wiley Online Library
Abstract Retraction:[Nitin Nandkumar Sakhare, Imambi S. Shaik, Suman Saha, Prediction of
stock market movement via technical analysis of stock data stored on blockchain using novel …
stock market movement via technical analysis of stock data stored on blockchain using novel …
[PDF][PDF] Technical Analysis Based Prediction of Stock Market Trading Strategies Using Deep Learning and Machine Learning Algorithms
Stock market movement follows the random walk nature. The technical analysis incorporates
the use of various technical indicators. Technical analysis is well suited for short term …
the use of various technical indicators. Technical analysis is well suited for short term …
Comparison random forest regression and linear regression for forecasting BBCA stock price
Stock trading is a popular financial instrument worldwide. In Indonesia, the stock market is
known as the Indonesia Stock Exchange (BEI), and one actively traded stock is PT Bank …
known as the Indonesia Stock Exchange (BEI), and one actively traded stock is PT Bank …
[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering
AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …
lot of the researchers' attention in the recent few years. As a proven powerful machine …
Effective implementation of neural network model with tune parameter for stock market predictions
B Vasudevan - 2021 2nd International Conference on Smart …, 2021 - ieeexplore.ieee.org
Machine learning techniques are preferred to make efficient accuracy prediction in stock
marketing. Artificial Neural Network (ANN) is a familiar method that incorporates technical …
marketing. Artificial Neural Network (ANN) is a familiar method that incorporates technical …
Gradient-based optimization of the area under the minimum of false positive and false negative functions
KM Devi, SV Ramakrishna, GRK Rao… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Collector Operating Characteristic (ROC) bends are plots of genuine awesome expense
versus bogus eminent charge which are helpful for assessing twofold order models, but …
versus bogus eminent charge which are helpful for assessing twofold order models, but …
Prediction of values of Borsa Istanbul Forest, Paper, and Printing Index using machine learning methods
It is difficult to predict index values or stock prices with a single financial formula. They are
affected by many factors, such as political conditions, global economy, unexpected events …
affected by many factors, such as political conditions, global economy, unexpected events …