Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
M Shahvaroughi Farahani, SH Razavi Hajiagha - Soft computing, 2021 - Springer
Today, stock market has important function and it can be a place as a measure of economic
position. People can earn a lot of money and return by investing their money in the stock …
position. People can earn a lot of money and return by investing their money in the stock …
Improved market prediction using meta-heuristic algorithms and time series model and testing market efficiency
M Shahvaroughi Farahani, H Farrokhi-Asl - Iran Journal of Computer …, 2023 - Springer
This study aims to evaluate the efficiency of using technical indicators such as closing price,
lowest price, highest price, and exponential moving average in the prediction of stock prices …
lowest price, highest price, and exponential moving average in the prediction of stock prices …
Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis
M Shahvaroughi Farahani, H Farrokhi-Asl… - International journal of …, 2023 - riejournal.com
Investigating stock price trends and determining future stock prices have become focal
points for researchers within the finance sector. However, predicting stock price trends is a …
points for researchers within the finance sector. However, predicting stock price trends is a …
Hybrid Metaheuristic Artificial Neural Networks for Stock Price Prediction Considering Efficient Market Hypothesis.
MS Farahani, H Farrokhi-Asl… - International Journal of …, 2023 - search.ebscohost.com
Investigating stock price trends and determining future stock prices have become focal
points for researchers within the finance sector. However, predicting stock price trends is a …
points for researchers within the finance sector. However, predicting stock price trends is a …
Forecasting Tehran Price Index (TEPIX) Using Novel Meta-Heuristic Algorithms
M Shahvaroughi Farahani… - International Journal of …, 2023 - ijfma.ir
The stock market involves risks and returns that, if forecasted correctly, can lead to
profitability, and for this forecasting, appropriate methods are needed. It is affected by …
profitability, and for this forecasting, appropriate methods are needed. It is affected by …
Stock Prediction using Artificial Neural Network; Evidence with Nifty 50 IT Companies
M Gnanendra, J Jana - Asian Journal of Research in Business …, 2018 - indianjournals.com
This study aims at reducing investors risk in trading by predicting the stock prices accurately.
The research methodology used here is Multi-Layer Perceptron in neural networks, which is …
The research methodology used here is Multi-Layer Perceptron in neural networks, which is …