Technical Analysis of the Financial Markets

By J. Murphy. 1999

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Citations in the corpus

Stock Price Prediction by Deep Neural Generative Model of News Articles (2018, background): “Research has also focused on technical analysis methods for identifying certain patterns in past price movements to predict future price movements [2]–[6]; this is typically founded on the belief that the same price movement patterns are often repeated, but the financial market is not a closed syste”
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks (2015, background): “In addition, technical analysts believe that there is price trend [20] in the market, meaning that the financial market tends to move in a particular direction, i.”
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2017, background): “The search for ideal indicators for technical analysis [10] has been extensively studied in quantitative ﬁnance.”
Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30 (2008, methodology): “In this article, we focus our attention on the 12 and 26-day EMAs, which are the most commonly used short and long-period EMAs (Murphy, 1999).”
Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010, background): “It studies the historical price and volume movements of a stock by using charts as the primary tool to forecast future price movements [39].”
CARTMAP: a neural network method for automated feature selection in financial time series forecasting (2012, unknown): “of potential combinations quickly approaches infinity [39].”
Finding attractive technical patterns in cryptocurrency markets (2018, background): “Traders have already come up with various technical indicators that provide useful information for trading [18].”
A Multiple-Criteria Approach for Forecasting Stock Price Direction : Nonlinear Probability Models with Application in S & P 500 Index (2016, background): “To improve the performance of Dow’s theory in financial markets, [3, 19, 20] developed novel indicators permitting the forecasting and evaluation of the trends of price movements.”
Stock prediction using deep learning (2016, methodology): “Fundamental approach is the traditional approach using company parameters [19].”
Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020, methodology): “This analysis uses historical charts and patterns to predict future prices [1], [2].”