Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
By Pritpal Singh, Bhogeswar Borah. 2014
102 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research
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In Artificial Intelligence
In Economics and Econometrics
In Management Science and Operations Research
- Marcin Hernes
- Jerzy J. Korczak
- Maciej Bac
- Junseok Kim
- Jian Wang
- M. Ugur Gudelek
- Omer Berat Sezer
- A. Ozbayoglu
Citations in the corpus
- Deep learning for financial time series forecasting in A-Trader system (2017, background): “There are also many multi-agent approach based solutions [8,9,10,11,12].”
- Predicting Stock Price Trend Using MACD Optimized by Historical Volatility (2018, methodology): “[7] designed a forecasting model consisting of fuzzy theory and particle swarm optimization to predict stock markets using historical data from the State Bank of India.”
- Fundamental analysis in the multi-agent trading system (2016, background): “Borah [7] apply a multi-agent system where the agents’ intelligence is based on fuzzy expert system.”
- Fuzzy Logic as Agents' Knowledge Representation in A-Trader System (2015, methodology): “Fuzzy logic was also used for trading on FOREX, for example, in Expert Advisor [40] or technical analysis system [41] or fuzzy time series forecasting [42–44].”