Stock Market Trends Analysis using Extreme Gradient Boosting (XGBoost)
The stock market is an option for investment and trading. The market volatility and a wide
range of other dependent and independent elements that affect the market value of a …
range of other dependent and independent elements that affect the market value of a …
Machine Learning-based Stock Market Forecasting using Recurrent Neural Network
In today's world where trading became very common. Observing the trends and stock market
predictions has become more and more popular. Forecasting the future value of a …
predictions has become more and more popular. Forecasting the future value of a …
An improved technique for stock price prediction on real-time exploiting stream processing and deep learning
KC Bandhu, R Litoriya, A Jain, AV Shukla… - Multimedia Tools and …, 2024 - Springer
The proposed model is a Deep Learning (DL) based method employing Long Short-Term
Memory (LSTM) networks for forecasting stocks. The aim of this approach is forecasting …
Memory (LSTM) networks for forecasting stocks. The aim of this approach is forecasting …
Predictions and Trend Analysis for Stock Market Using Machine Learning Algorithms
VM Advaith, JJ Reddy, VP Srinidhi - Advances in Computing and …, 2023 - books.google.com
This paper exploits some of the Industry standard applications for trading and gives new
insights on few ML models, namely LSTM, ARIMA, SVR. Techniques like Bollinger Bands …
insights on few ML models, namely LSTM, ARIMA, SVR. Techniques like Bollinger Bands …
Predictions and Trend Analysis for Stock Market Using Machine Learning Algorithms
V Manas Advaith, J Jeshwanth Reddy… - … on Emerging Research …, 2023 - Springer
This paper exploits some of the Industry standard applications for trading and gives new
insights on few ML models, namely LSTM, ARIMA, SVR. Techniques like Bollinger Bands …
insights on few ML models, namely LSTM, ARIMA, SVR. Techniques like Bollinger Bands …