Application of artificial intelligence in stock market forecasting: a critique, review, and research agenda
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal
and external environmental variables. Artificial intelligence (AI) techniques can detect such …
and external environmental variables. Artificial intelligence (AI) techniques can detect such …
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 …
Joint source-channel coding over additive noise analog channels using mixture of variational autoencoders
In this paper, we present a learning scheme for Joint Source-Channel Coding (JSCC) over
analog independent additive noise channels. We formulate the learning problem by …
analog independent additive noise channels. We formulate the learning problem by …
An integrated model for predicting changes in cryptocurrency return based on news sentiment analysis and deep learning
E Kim - Knowledge Management Research, 2021 - koreascience.kr
Bitcoin, a representative cryptocurrency, is receiving a lot of attention around the world, and
the price of Bitcoin shows high volatility. High volatility is a risk factor for investors and …
the price of Bitcoin shows high volatility. High volatility is a risk factor for investors and …
[PDF][PDF] Designing strategies for autonomous stock trading agents using a random forest approach
M Aloud - … Journal of Advanced Computer Science and …, 2021 - pdfs.semanticscholar.org
Machine learning-based autonomous agents are valuable for back-testing stock trading
strategies, including algorithmic trading. Several studies in the financial literature have …
strategies, including algorithmic trading. Several studies in the financial literature have …
Predicting Stock Market Movements: An Optimized Extreme Learning Approach
Stock market prediction has forever been interesting and complex problem for shareholders
and professional analysts. Mainly Data Mining application and Machine learning approach …
and professional analysts. Mainly Data Mining application and Machine learning approach …