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Candlestick charts display the high, low, opening, and closing prices in a specific period.
Neocognitron: A self-organizing neural network model for a mechanism of visual pattern recognition
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Earlier work this paper cites.
The use of technical analysis in the foreign exchange market
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Fuzzy time series and its models
Qiang Song and Brad S Chissom · 1993
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Trading applications of Japanese candlestick charting
Gary S Wagner and Bradley L Matheny · 1994
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Convolutional networks for images, speech, and time series
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Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks
Emad W Saad, Danil V Prokhorov, and Donald C Wunsch · 1998
Earlier work this paper cites.
Financial prediction and trading strategies using neurofuzzy approaches
Konstantinos N Pantazopoulos, Lefteri H Tsoukalas, Nikolaos G Bourbakis, Michael J Brun, and Elias N Houstis · 1998
Earlier work this paper cites.
Forecasting volatility with neural regression: A contribution to model adequacy
A-PN Refenes and Will T Holt · 2001
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A comparison of nonlinear methods for predicting earnings surprises and returns
Vasant Dhar and Dashin Chou · 2001
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Japanese candlestick charting techniques: a contemporary guide to the ancient investment techniques of the Far East
Steve Nison · 2001
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Predicting financial distress
Steven C Hall · 2002
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Support vector machine with adaptive parameters in financial time series forecasting
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Candlestick technical trading strategies: Can they create value for investors?
Ben R Marshall, Martin R Young, and Lawrence C Rose · 2006
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The application of japanese candlestick trading strategies in taiwan
Y Goo, D Chen, Y Chang, et al · 2007
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Sparse feature learning for deep belief networks
Y-lan Boureau, Yann L Cun, et al · 2008
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Optimal executive compensation when firm size follows geometric brownian motion
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The Secret Code of Japanese Candlesticks
Felipe Tudela · 2008
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The Major Candlesticks Signals
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Deep learning for event-driven stock prediction
Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan · 2015
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Encoding time series as images for visual inspection and classification using tiled convolutional neural networks
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Lenet-5, convolutional neural networks
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Classifying with adaptive hyper-spheres: An incremental classifier based on competitive learning
Tie Li, Gang Kou, Yi Peng, and Yong Shi · 2017
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Deep learning for time-series analysis
John Cristian Borges Gamboa · 2017
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Artificial neural network classification of high dimensional data with novel optimization approach of dimension reduction
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