Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions
With the advent of technological marvels like global digitization, the prediction of the stock
market has entered a technologically advanced era, revamping the old model of trading …
market has entered a technologically advanced era, revamping the old model of trading …
Stock market prediction using machine learning
I Parmar, N Agarwal, S Saxena, R Arora… - … on secure cyber …, 2018 - ieeexplore.ieee.org
In Stock Market Prediction, the aim is to predict the future value of the financial stocks of a
company. The recent trend in stock market prediction technologies is the use of machine …
company. The recent trend in stock market prediction technologies is the use of machine …
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 …
Integration of genetic algorithm with artificial neural network for stock market forecasting
Traditional statistical as well as artificial intelligence techniques are widely used for stock
market forecasting. Due to the nonlinearity in stock data, a model developed using the …
market forecasting. Due to the nonlinearity in stock data, a model developed using the …
Stock market prediction: A big data approach
The Stock market process is full of uncertainty and is affected by many factors. Hence the
Stock market prediction is one of the important exertions in finance and business. There are …
Stock market prediction is one of the important exertions in finance and business. There are …
Clustering and regression techniques for stock prediction
BS Bini, T Mathew - Procedia Technology, 2016 - Elsevier
Stock market prices keep on varying day by day. It is very difficult to foresee the future value
of the market by the sellers and buyers. In this paper, an analysis system which helps the …
of the market by the sellers and buyers. In this paper, an analysis system which helps the …
Indonesian stock price prediction including covid19 era using decision tree regression
KM Hindrayani, TM Fahrudin, RP Aji… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Predicting stock prices is an interesting field in Data Mining. There are many variables
affecting stock prices. Especially in this covid19 era which impacts in economy, the stock …
affecting stock prices. Especially in this covid19 era which impacts in economy, the stock …
Decision support system for investing in stock market by using OAA-neural network
S Boonpeng, P Jeatrakul - 2016 Eighth International …, 2016 - ieeexplore.ieee.org
In stock market, successful investors can earn maximum profits depended on a stock
selection and a suitable time on trading. Generally, investors use two statistical techniques …
selection and a suitable time on trading. Generally, investors use two statistical techniques …
Intelligent prediction of maximum ground settlement induced by EPB shield tunneling using automated machine learning techniques
SM Hussaine, L Mu - Mathematics, 2022 - mdpi.com
Predicting the maximum ground subsidence (Smax) in the construction of soil pressure
balanced shield tunnel, particularly on soft foundation soils, is essential for safe operation …
balanced shield tunnel, particularly on soft foundation soils, is essential for safe operation …
LSTMSA: a novel approach for stock market prediction using lstm and sentiment analysis
A Sarkar, AK Sahoo, S Sah… - … Conference on Computer …, 2020 - ieeexplore.ieee.org
Stock market prediction is one of the most popular use cases for machine learning models. A
general model that can predict the rise and fall of stocks is an arduous task as there maybe …
general model that can predict the rise and fall of stocks is an arduous task as there maybe …