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Adaptive use of technical indicators for the prediction of intra-day stock prices
2 references·11 citing·46 second hop
Adaptive use of technical indicators for the prediction of intra-day stock prices (2007)Adaptive use of technical indicators for …An Introduction to Econophysics: Correlations and Complexity in Finance (2000)An Introduction to Econophysi…Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Simple Technical Trading Rule…Stock index futures price prediction using feature selection and deep learning (2022)Stock index futures price pre…Predicting Stock Price Changes Based on the Limit Order Book: A Survey (2022)Predicting Stock Price Change…A Time Series Model Based on Deep Learning and Integrated Indicator Selection Method for Forecasting Stock Prices and Evaluating Trading Profits (2022)A Time Series Model Based on …A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion (2022)A graph neural network-based …Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres (2019)Prediction of B2C e-commerce …Forecasting leading industry stock prices based on a hybrid time-series forecast model (2018)Forecasting leading industry …A study of ANFIS-based multi-factor time series models for forecasting stock index (2016)A study of ANFIS-based multi-…A novel technical analysis-based method for stock market forecasting (2016)A novel technical analysis-ba…Modeling fitting-function-based fuzzy time series patterns for evolving stock index forecasting (2014)Modeling fitting-function-bas…Forecasting the Stock Market with Linguistic Rules Generated from the Minimize Entropy Principle and the Cumulative Probability Distribution Approaches (2010)Forecasting the Stock Market …Application of MACD and RVI indicators as functions of investment strategy optimization on the financial market (2009)Application of MACD and RVI i…Fuzzy sets (1965)Generalized autoregressive conditional heteroskedasticity (1986)Fuzzy sets (1996)Literature review: Machine learning techniques applied to financial market prediction (2019)Type-1 recurrent intuitionistic fuzzy functions for forecasting (2019)Machine learning techniques and data for stock market forecasting: A literature review (2022)The Behavior of Stock-Market Prices (1965)Does the Stock Market Overreact? 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this work references cited by second hop

References

  • 2000An Introduction to Econophysics: Correlations and Complexity in Finance2,398 cited
  • 1992Simple Technical Trading Rules and the Stochastic Properties of Stock Returns2,311 cited

Cited by

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  • 2010Forecasting the Stock Market with Linguistic Rules Generated from the Minimize Entropy Principle and the Cumulative Probability Distribution Approaches41 cited
  • 2019Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres38 cited
  • 2016A study of ANFIS-based multi-factor time series models for forecasting stock index33 cited
  • 2022Stock index futures price prediction using feature selection and deep learning30 cited
  • 2022Predicting Stock Price Changes Based on the Limit Order Book: A Survey29 cited
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  • 2018Forecasting leading industry stock prices based on a hybrid time-series forecast model26 cited
  • 2009Application of MACD and RVI indicators as functions of investment strategy optimization on the financial market25 cited
  • 2022A Time Series Model Based on Deep Learning and Integrated Indicator Selection Method for Forecasting Stock Prices and Evaluating Trading Profits

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24 cited