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Stock Price Prediction Using K-Nearest Neighbor (kNN) Algorithm
14 references·13 citing·37 second hop
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References

  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 1968Fractional Brownian Motions, Fractional Noises and Applications7,658 cited
  • 1991Efficient Capital Markets: II5,346 cited
  • 2003The Adjustment of Stock Prices to New Information3,063 cited
  • 1978Some anomalous evidence regarding market efficiency1,419 cited
  • 1991Chaos and Nonlinear Dynamics: Application to Financial Markets1,046 cited
  • 1994Fractal Market Analysis: Applying Chaos Theory to Investment and Economics983 cited
  • 1968The Random Character of Stock Market Prices926 cited
  • 1961Price Movements in Speculative Markets : Trends or Random Walks645 cited
  • 1992Chaos and order in the capital markets: a new view of cycles, prices, and market volatility423 cited
  • 2004Can one make any crash prediction in finance using the local Hurst exponent idea?252 cited
  • 2001An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks238 cited
  • 1995Neural networks for financial forecasting229 cited
  • 1992Efficiency and inefficiency in thinly traded stock markets: Kuwait and Saudi Arabia223 cited

Cited by

  • 2023Series decomposition Transformer with period-correlation for stock market index prediction

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  • 2019Stock Market Forecasting using Machine Learning: Today and Tomorrow61 cited
  • 2024StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting56 cited
  • 2018Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment55 cited
  • 2023Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools52 cited
  • 2023An integrated approach of ensemble learning methods for stock index prediction using investor sentiments52 cited
  • 2024Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting43 cited
  • 2017Stock Market Prediction using Machine Learning: A Systematic Literature Review42 cited
  • 2020Stock Market Prediction using Supervised Machine Learning Techniques: An Overview38 cited
  • 2022Dynamic portfolio optimization with inverse covariance clustering37 cited
  • 2025MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU33 cited
  • 2019Stock Price Prediction Using Support Vector Machine Approach32 cited
  • 2025Exploring Cutting-Edge Algorithms in FinTech: Leveraging Machine Learning and Artificial Intelligence for Achieving Sustainability31 cited