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Moving Averages for Financial Data Smoothing
4 references·3 citing·26 second hop
Moving Averages for Financial Data Smoothing (2013)Moving Averages for Financial Data Smooth…Technical analysis: the complete resource for financial market technicians (2011)Technical analysis: the compl…Stock trading with cycles: A financial application of ANFIS and reinforcement learning (2010)Stock trading with cycles: A …New Trading Systems and Methods (2005)New Trading Systems and Metho…Is smarter better? A comparison of adaptive, and simple moving average trading strategies (2005)Is smarter better? A comparis…Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)Hidden Markov guided Deep Lea…AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators (2022)AEI-DNET: A Novel DenseNet Mo…OPTIMISING THE SMOOTHNESS AND ACCURACY OF MOVING AVERAGE FOR STOCK PRICE DATA (2018)OPTIMISING THE SMOOTHNESS AND…The Performance of Mutual Funds in the Period 1945-1964 (1968)THE PERFORMANCE OF MUTUAL FUNDS IN THE PERIOD 1945–1964 (1968)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Is the Swedish stock market efficient? Evidence from some simple trading rules (2007)Forecasting the REITs and stock indices: Group Method of Data Handling Neural Network approach (2016)Examination of the profitability of technical analysis based on moving average strategies in BRICS (2018)Science and Human Behavior (1953)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)An interpretable neuro-fuzzy approach to stock price forecasting (2017)Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis (2017)A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points (2019)Time Series Smoothing and OWA Aggregation (2008)Trading Systems and Methods (2012)The Exponentially Weighted Moving Average (1986)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Stock Price Prediction Using the ARIMA Model (2014)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India (2024)Technical analysis: An asset allocation perspective on the use of moving averages☆ (2009)A novel forecasting method based on multi-order fuzzy time series and technical analysis (2016)Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles (2018)A mathematical proof of the existence of trends in financial time series (2009)A pairs trading strategy based on linear state space models and the Kalman filter (2016)
this work references cited by second hop

References

  • 2011Technical analysis: the complete resource for financial market technicians321 cited
  • 2005Is smarter better? A comparison of adaptive, and simple moving average trading strategies119 cited
  • 2010Stock trading with cycles: A financial application of ANFIS and reinforcement learning78 cited
  • 2005New Trading Systems and Methods59 cited

Cited by

  • 2024Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices57 cited
  • 2018OPTIMISING THE SMOOTHNESS AND ACCURACY OF MOVING AVERAGE FOR STOCK PRICE DATA51 cited
  • 2022AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators48 cited

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