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A Financial Decision Supporting System Based on Fuzzy Candlestick Patterns

Chiung-Hon Lee, Alan Liu
2006 Proceedings of the 9th Joint Conference on Information Sciences (JCIS)  
A knowledge based pattern recognition method for candlestick pattern is implemented in the system, and the investor can edit, validate, and share the imprecise and vague candlestick patterns through the  ...  In our system, the investment expertise is represented in fuzzy candlestick patterns and can be stored in a pattern base.  ...  Pattern construction and recognition procedures is introduced and implemented in a system prototype to illustrate the usage of the fuzzy candlestick patterns.  ... 
doi:10.2991/jcis.2006.58 dblp:conf/jcis/LeeL06 fatcat:e54d2vdc7vcadipkbrs3uduf7e

Pattern discovery of fuzzy time series for financial prediction

Chiung-Hon Leon Lee, Alan Liu, Wen-Sung Chen
2006 IEEE Transactions on Knowledge and Data Engineering  
We model the imprecise and vague candlestick patterns with fuzzy linguistic variables and transfer the financial time series data to fuzzy candlestick patterns for pattern recognition.  ...  A fuzzy time series data representation method based on the Japanese candlestick theory is proposed and used in assisting financial prediction.  ...  This work was supported in part by the Department of Industrial Technology, Ministry of Economic Affairs (Taiwan) under Grant 94-EC-17-A-02-S1-029 and by the National Science Council under grant NSC-93  ... 
doi:10.1109/tkde.2006.80 fatcat:53fitlclqbahvcpkigyzk52oqe

Event Recognition Strategies applied in the Mercurio Project

Davide Azzalini, Fabio Azzalini, Davide Greco, Mirjana Mazuran, Letizia Tanca
2017 European Conference on Principles of Data Mining and Knowledge Discovery  
The process of event recognition, both from textual and numerical data sources, is crucial to successfully reach the goals.  ...  Mercurio identifies relevant events both from financial news articles and financial indexes and uses sequential pattern mining to predict exceptional events given their past occurrences and relationships  ...  Mercurio uses these patterns in combination with stock events to increment the precision of the event recognition.  ... 
dblp:conf/pkdd/AzzaliniAGMT17 fatcat:yyxpwo4qzjgwbaxhkcxv2lrkj4

Reversal Pattern Discovery in Financial Time Series Based on Fuzzy Candlestick Lines

Qiujun Lan, Dan Zhang, Longling Xiong
2011 Systems Engineering Procedia  
The proposed method applies the Fuzzy logic theory to the Japanese candlestick theory by converting the open, close, high and low prices into fuzzy candlestick chart.  ...  Using the model, we can define and interpret the "symptom sequence" before the reversal point, and then identify the reversal patterns of the candlestick chart.  ...  Methodology Japanese Candlestick theory Candlestick chart is initially developed in the 16th century by Japanese rice trader of financial instruments.  ... 
doi:10.1016/j.sepro.2011.10.021 fatcat:x67pfgydljazvexqj5aldynjxe

Artificial Intelligence in Trading the Financial Markets

Gil Cohen
2022 International Journal of Economics and Business Administration  
The ability of computerized algorithms to integrate a large set of data and react almost immediately according to it, does not come without risks of accelerating downtrends in times of panic in the financial  ...  The research identifies and explains the complexity of methods that helps traders to improve their trading results.  ...  In the financial literature, the efficiency of candlesticks patterns remain debatable.  ... 
doi:10.35808/ijeba/751 fatcat:x23uqtqvcbao3mwp73qsuw7rsa

A Comprehensive Look at the Predictive Information in Japanese Candlestick

Haibin Xie, Xiujuan Zhao, Shouyang Wang
2012 Procedia Computer Science  
This article takes a comprehensive look at the performance of Japanese Candlestick in forecasting equity returns.  ...  We find that Japanese Candlestick does provide predictive information in both in-sample (IS) and out-of-sample (OOS) forecasts; and there is significant information spillover from the U.S equity market  ...  Acknowledgment This research is supported in part by ProgramforNewCenturyExcellentTalentsinUniversity  ... 
doi:10.1016/j.procs.2012.04.132 fatcat:htesps3jije6zkh6sas74j7qhq

Improving stock trading decisions based on pattern recognition using machine learning technology

Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu, Bingbing Jiang, Stefan Cristian Gherghina
2021 PLoS ONE  
After screening, three-day candlestick patterns also present a beneficial effect when forecasting one day ahead in that these patterns show stable characteristics.  ...  PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions.  ...  A candlestick k = (o t , h t , l t , c t ) is a tuple that consists of four basic prices of a stock at time t. A candlestick k is a basic element in identifying the candlestick pattern recognition.  ... 
doi:10.1371/journal.pone.0255558 pmid:34358269 pmcid:PMC8345893 fatcat:6khcc4uqv5azrhxhnexozv6yla

Encoding candlesticks as images for pattern classification using convolutional neural networks

Jun-Hao Chen, Yun-Cheng Tsai
2020 Financial Innovation  
In the experiments, our approach can identify the eight types of candlestick patterns with 90.7% average accuracy automatically in real-world data, outperforming the LSTM model.  ...  Candlestick charts display the high, low, opening, and closing prices in a specific period. Candlestick patterns emerge because human actions and reactions are patterned and continuously replicate.  ...  Preliminary Candlestick Japanese start using technical analysis to trade rice in the 17th century (Wagner and Matheny 1994) .  ... 
doi:10.1186/s40854-020-00187-0 fatcat:zwetrxn2rjak7pouoc2tqztcau

To Display Candlesticks by Using Qt Framework

Yogesh Pareek
2019 International Journal for Research in Applied Science and Engineering Technology  
It is also pointed out that candlestick chart pattern recognition is subjective. The candlestick chart patterns are often qualitatively described using words and illustrations.  ...  Negative conclusions to the predictability of candlesticks are reported, while positive evidences are provided for several candlestick chart patterns in experiments using the U.S. and the Asian stock markets  ...  Horton (2009) observes nine candlestick patterns for 349 stocks listed in the S&P 500 index and finds that the use of Stars, Crows, or Doji in trading individual stocks is not recommended.  ... 
doi:10.22214/ijraset.2019.5659 fatcat:cze5f5ow2jbutjan2thzfvtnya

Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks [article]

Jun-Hao Chen, Yun-Cheng Tsai
2020 arXiv   pre-print
In the experiments, our method can identify the eight types of candlestick patterns with 90.7% average accuracy automatically in real-world data, outperforming the LSTM model.  ...  Candlestick charts display the high, low, opening, and closing prices in a specific period. Candlestick patterns emerge because human actions and reactions are patterned and continuously replicate.  ...  Preliminary Candlestick Japanese start using technical analysis to trade rice in the 17th century [21] .  ... 
arXiv:1901.05237v2 fatcat:nmxlrstdrzclfm4yewl5jygwmi

Candlestick Technical Analysis on Select Indian Stocks: Pattern detection and Efficiency Statistics

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
One of the financial market analysis is Candlestick Technical analysis also is known as Japanese candlestick charting. It is the oldest form of financial market analysis originated in japan.  ...  for the 5-day holding period.The results of the study show that hammer (HMR), long engulfing pattern (LEB) and Rising window (RSW) are the top three ranked candlestick patterns.  ...  patterns are formed to effective in Malaysian stock markets [6, 19] .Pattern recognition trading using KNN classifier revealed that candlestick technical patterns have considerable predictive power [  ... 
doi:10.35940/ijitee.b7666.129219 fatcat:btlfscubkvhlbcr6abwrsf27pe

On the Effectiveness of Candlestick Chart Analysis for the Brazilian Stock Market

Hércules A. do Prado, Edilson Ferneda, Luis C.R. Morais, Alfredo J.B. Luiz, Eduardo Matsura
2013 Procedia Computer Science  
However, no similar work was done for the Brazilian market. In this paper, the behavior of part of the Brazilian capital market was studied using sixteen candlestick patterns.  ...  Such results do not allow for an affirmation that candlestick patterns have the power to predict future behavior of stocks traded in the Ibovespa stock market.  ...  The Japanese candlestick graph represents changes in investors' interpretation of value that are mirrored in price movements.  ... 
doi:10.1016/j.procs.2013.09.200 fatcat:qe4knnddcnduzgsc4yqtg77dda

Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data

Roberto Cervelló-Royo, Francisco Guijarro, Karolina Michniuk
2015 Expert systems with applications  
Abstract This study introduces a new approximation of the flag price pattern recognition.  ...  Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data.  ...  Flag pattern recognition Charting analysis is based on the recognition of certain graphical patterns in the price and, eventually, in the volume of operations.  ... 
doi:10.1016/j.eswa.2015.03.017 fatcat:ywn2xeqsqrgnzogqipehrsi5s4

Candlestick chart based trading system using ensemble learning for financial assets

Yunus SANTUR
2022 Sigma Journal of Engineering and Natural Sciences  
The candlestick charts, which were developed in the 18th century and were initially used in the Japanese rice market, are widely used in trading strategies in all financial markets after 1991.  ...  In addition to these advantages, the large number of candlestick chart patterns makes their practical use difficult.  ...  ACKNOWLEDGEMENTS The datasets used in this study were provided from investing.com [24].  ... 
doi:10.14744/sigma.2022.00039 fatcat:ftfkona3hjeq3icbzpjzzq3evu

Data Visualization and Prediction using Candlesticks Chart for Open Government Data Set

2019 International journal of recent technology and engineering  
in trend using moving averages, pattern recognition methods.  ...  As most of the goods prices move because of the supply-demand differences, the proposed Japanese candlestick charts used to predict/forecast patterns in short term and long term by capturing the change  ...  [3] an approach to extract fuzzy candlestick patterns from a candlestick chart and feed the system with some well proven patterns with best risk reward ratio and to deploy it into stock markets terminals  ... 
doi:10.35940/ijrte.b1047.0782s419 fatcat:3yxx23h6t5dpto5tdvjdftywx4
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