For overcoming the limitation, in this paper, non linear regression model applies in to stock market data for increasing the accuracy of prediction. The implementation result shows the prediction value better than linear regression model result.S.Chitradevi...
One of the most enticing research areas is the stock market, and projecting stock prices may help investors profit by making the best decisions at the correct time. Deep learning strategies have emerged as a critical technique in the field of the financial market. The stock market is impacted ...
The domain of stock market price forecasting has experienced a significant transformation with the integration of sentiment analysis methods. This study explores the application of the XGBoost algorithm, a robust gradient boosting technique, in the context of stock price prediction enhanced by sentiment ...
Predictions on stock market prices are a great challenge due to the fact that it is an immensely complex, chaotic and dynamic environment. There are many studies from various areas aiming to take on that challenge and Machine Learning approaches have been the focus of many of them. There are...
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Stock price prediction is an important issue in the financial world, as it contributes to the development of effective strategies for stock exchange transactions. In this paper, we propose a generic framework employing Long Short-Term Memory (LSTM) and convolutional neural network (CNN) for adversar...
原文档可以看这里:Stock Market Analysis + Prediction using LSTM | Kaggle In this notebook, we will discover and explore data from the stock market, particularly some technology stocks (Apple, Amazon, Google, and Microsoft). We will learn how to use yfinance to get stock information, and visual...
(YY) to form an assessment and approach to solving the problem statement. Most supervised machine learning algorithms perform in this manner. However, time series analysis is unique because it has only one variable:time. We will dive deeper into how to solve the stock market price prediction ...
(5) if the stock rises or falls on the day of the big market, it will be sideways in the small fluctuation of the stock price. Once it is pulled up, it will be determined to intervene when it pulls up. In particular, if there is a continuous big payment in the market, the time...
Stock price prediction has been regarded as an intractable task due to the intrinsic nonlinearity and instability of stock market.In this paper,based on the traditional SVR approach,a forecasting model that integrates principal component analysis(PCA)and fruit fly optimization algorithm(FOA)for predictin...