Technical Analysis: The Complete Resource for Financial Market Technicians

By C. Kirkpatrick, Julie R. Dahlquist. 2006

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Citations in the corpus

Deep learning for financial time series forecasting in A-Trader system (2017, methodology): “The proposed prediction models use, for example, genetic algorithms [1], fundamental and technical analysis [2,3,4,5], neural networks and neuro-fuzzy computing [6], behavioral techniques [7].”
CARTMAP: a neural network method for automated feature selection in financial time series forecasting (2012, background): “relatively small set of key features to confirm a predictive signal [24].”
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (2017, background): “Fortunately, it is believed that the correlation between two market price events decades exponentially with the temporal distance between them (Holt, 2004; Charles et al., 2006).”
Technical analysis: An asset allocation perspective on the use of moving averages (2009, methodology): “…the classic book by Murphy (1986) summarizes the Dow Theory and various other technical indicators, a growing and large literature has emerged on new techniques of technical analysis due to the wide availability of data and computing power (see, e.g., Covel, 2005; Kirkpatrick and Dahlquist, 2006).”
Fuzzy Logic as Agents' Knowledge Representation in A-Trader System (2015, background): “Among them, there are multi-agent systems [1] which use various methods based on mathematics, statistics, finance or artificial intelligence [2–13].”
Stock market's price movement prediction with LSTM neural networks (2017, background): “It follows some assumptions: (1) prices are defined exclusively by the supply-demand relation; (2) prices change following tendencies; (3) changes on supply and demand cause tendencies to reverse; (4) changes on supply and demand can be identified on charts; And (5) patterns on charts tend to repeat”
Fundamental analysis in the multi-agent trading system (2016, methodology): “In the system described in [4, 5] technical analysis indicators are used.”
Performance evaluation of decision-making agents' in the multi-agent system (2014, methodology): “The straight line inclination depends on the value of the “a” parameter or the tangent value of the inclination angle with the use of linear regression [11, 21].”