Academic literature on the topic 'Candlestik'

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Journal articles on the topic "Candlestik"

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Piasecki, Krzysztof, and Anna Łyczkowska-Hanćkowiak. "Representation of Japanese Candlesticks by Oriented Fuzzy Numbers." Econometrics 8, no. 1 (2019): 1. http://dx.doi.org/10.3390/econometrics8010001.

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The Japanese candlesticks’ technique is one of the well-known graphic methods of dynamic analysis of securities. If we apply Japanese candlesticks for the analysis of high-frequency financial data, then we need a numerical representation of any Japanese candlestick. Kacprzak et al. have proposed to represent Japanese candlesticks by ordered fuzzy numbers introduced by Kosiński and his cooperators. For some formal reasons, Kosiński’s theory of ordered fuzzy numbers has been revised. The main goal of our paper is to propose a universal method of representation of Japanese candlesticks by revised
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Mardianti, Nayla. "Analysis and Study of Candlestick Indicators in Stock Trading." Enigma in Economics 1, no. 2 (2024): 55–58. http://dx.doi.org/10.61996/economy.v1i2.32.

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Candlestick analysis is an invaluable tool in technical analysis for understanding stock price movements. Candlesticks provide a clear visual representation of changes in stock prices over a certain period of time. The color and shape of the candlesticks provide a direct indication of buyer and seller sentiment. A series of candlesticks with continuously light colored bodies indicates an uptrend, while continuously dark colored bodies indicate a downtrend. This helps traders identify the direction of overall price movement. Candlestick patterns, such as doji, engulfing, harami, and others, pro
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EL YOUSSEFI, Ahmed, Abdelaaziz HESSANE, Imad Zeroual, and Yousef FARHAOUI. "Utilizing Machine Learning and Deep Learning for Predicting Crypto-currency Trends." Salud, Ciencia y Tecnología - Serie de Conferencias 3 (March 11, 2024): 638. http://dx.doi.org/10.56294/sctconf2024638.

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In the dynamic and often volatile world of the cryptocurrency market, accurately predicting future market movements is crucial for making informed trading decisions. While manual trading involves traders making subjective judgments based on market observations, the development of algorithmic trading systems, incorporating Machine Learning and Deep Learning, has introduced a more systematic approach to trading. These systems often employ technical analysis and machine learning techniques to analyze historical price data and generate trading signals. This study delves into a comparative analysis
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Orquín-Serrano, Ismael. "Predictive Power of Adaptive Candlestick Patterns in Forex Market. Eurusd Case." Mathematics 8, no. 5 (2020): 802. http://dx.doi.org/10.3390/math8050802.

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The Efficient Market Hypothesis (EMH) states that all available information is immediately reflected in the price of any asset or financial instrument, so that it is impossible to predict its future values, making it follow a pure stochastic process. Among all financial markets, FOREX is usually addressed as one of the most efficient. This paper tests the efficiency of the EURUSD pair taking only into consideration the price itself. A novel categorical classification, based on adaptive criteria, of all possible single candlestick patterns is presented. The predictive power of candlestick patte
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Karmelia, Meilona, Moeljono Widjaja, and Seng Hansun. "Candlestick Pattern Classification Using Feedforward Neural Network." International Journal of Advances in Soft Computing and its Applications 14, no. 2 (2022): 80–95. http://dx.doi.org/10.15849/ijasca.220720.06.

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Investment in the capital market can help boost a country’s economic growth. Without a doubt, in investing, a technical analysis of the condition of the stock is needed at that time. One of the technical analyses that can be done is to look at the historical data of stocks. Candlestick charts can summarize historical data that contain price value for Open, High, Low, and Close (OHLC) in the form of a chart. A group of candlesticks will form a pattern that can help investors to see whether the stock is trending up or down. The number of candlestick patterns and the manual determination of candl
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Mersal, Edrees Ramadan, Kürşat Mustafa Karaoğlan, and Hakan Kutucu. "Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns." PeerJ Computer Science 11 (February 27, 2025): e2719. https://doi.org/10.7717/peerj-cs.2719.

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This study discusses using Japanese candlestick (JC) patterns to predict future price movements in financial markets. The history of candlestick trading dates back to the 17th century and involves the analysis of patterns formed during JC trading. Candlestick patterns are practical tools for the technical analysis of traders in financial markets. They may serve as indicators of traders’ documents of a potential change in market sentiment and trend direction. This study aimed to predict the following candle-trend-based JC charts using convolutional neural networks (CNNs). In order to enhance th
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Puteri, Annisa Nurul, Suryadi Syamsu, Topan Leoni Putra, and Andita Dani Achmad. "Support Vector Machine for Predicting Candlestick Chart Movement on Foreign Exchange." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 22, no. 2 (2023): 249–60. http://dx.doi.org/10.30812/matrik.v22i2.2676.

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Foreign Exchange, commonly called Forex, is a form of investment in the non-real sector in great demand. Forex is a marketplace that specializes in foreign exchange trading. Technology advancements have made it easy to monitor investment conditions in real time and present them in an easyto - understand graphical form. As a result, predictions are closely related to investment, starting from market sentiment and economic conditions to technical matters. One of the Artificial Intelligence methods that can be used in classifying is the Support Vector Machine (SVM). SVM is a machine learning clas
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Joshi, Dushyant Lal. "Prediction of NEPSE Index Movement Using Technical Analysis." Nepal Journal of Multidisciplinary Research 6, no. 2 (2023): 106–13. http://dx.doi.org/10.3126/njmr.v6i2.57475.

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Due to the nature of the stock and index, predicting index or price movements is a challenging task. The nature of index volatility makes it impossible for investors to profit from stocks. To address this problem, investors need to make accurate predictions about future index or stock price changes. In this study, data has collected for 6 months (December 2022 to May 2023) and technical trading tools such as candlesticks and Google Form Questionnaire Surveys were used to determine the movement of the NEPSE index. A questionnaire survey is completed with 62 answers. Given the Nepalese context a
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Kim, Dasol. "Domesticating the Body of the Exotic Other: The Multisensory Use of a Sixteenth-century Brass Candlestick." Das Mittelalter 25, no. 2 (2020): 311–37. http://dx.doi.org/10.1515/mial-2020-0040.

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AbstractThrough the medium of a brass candlestick made in a sixteenth-century German foundry, I discuss the Christian European household’s sensory engagement and spatial control of the Muslim body. I argue that the Europeans’ sensory experience of the turbaned candlestick reflects and reinforces their conceptualization of Islamic culture, which is a blend of fear and fascination. The turbaned candlestick allows us to explore issues rarely discussed in the study of metalwork and the European imagery of ‘the East’. The shape and scale of the candlestick suggest that it could have been treated bo
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Cahyadi, Yoyo. "Analisis Pola Grafik Candlestick pada Pergerakan EUR/USD." Binus Business Review 3, no. 2 (2012): 737. http://dx.doi.org/10.21512/bbr.v3i2.1357.

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Candlestick chart is one of the charts which is commonly used in technical analysis. Besides for price overview in the past, this chart has patterns that can be analysed to become guidance about next price movement. There are some patterns with specific name in candlestick chart analysis. This paper discusses candlestick chart patterns in the EUR/USD currency pair within daily time frame. The observation shows that candlestick chart patterns indeed gave more guidance about trend changes. Although the candlestick patternsdid not show everyday, in most cases the patterns gave right guidance.
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Dissertations / Theses on the topic "Candlestik"

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Landi, Alba. "Candlestick Analysis e Sistemi di Decision. Making in Behavioural Financial Computing." Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2175.

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2013 - 2014<br>This work was created and developed to formulating a complementary methodology to Homo Oeconomicus, infact we to a rational economic operator who founded His work on concepts such as optimization, strategy and technical analysis, we propose an operator psychologically involved that is conditioned by emotions and affections such as: fear, stress, anxiety, greed etc. It is undisputed that in the financial markets some euphoria phenomena, mass psychosis, explosions of exaltation and collective hysteria generate high volatility in the system. In order to analyze the emotional aspe
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Hu, Wei Long. "Candlestick pattern classification in financial time series." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950658.

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Martinssson, Filip, and Ivan Liljeqvist. "Short-Term Stock Market Prediction Based on Candlestick Pattern Analysis." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209820.

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This study performs a comparative analysis and evaluates the impact of different Relative Strenght Index (RSI) and stop loss configurations on a trading algorithm based on candlesticks patterns. It is tested on both the Swedish OMXS30 market and the UK FTSE100 market. By tweaking the configurations, RSI and stop loss was found to have a substantial impact on the performance of the algorithm. On both OMXS30 and FTSE100 markets the difference between configurations was shown to be significant<br>Denna studie gör en jämförelse och analyserar olika Relative Strenght Index (RSI) och stop loss-konfi
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Hutton, Simon. "An analysis of Candlestick charting: the predictive power of the three-outside-up and three-outside-down Candlestick patterns in the context of small capitalization stocks in the USA." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/28975.

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This paper examines the predictive power of two Japanese Candlestick patterns for a 49-stock sample of small capitalization stocks drawn from the S&P 600 for the period 1 June 2005 to 15 May 2015. Using the normal approximation to the binomial for statistical testing and a dynamic holding period strategy to test the threeoutside- up and three-outside-down patterns, this study contradicts earlier works that used dynamic holding period strategies for large capitalization stocks and showed moderate levels of statistically significant predictive power. This study finds no statistically significant
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Nortje, Alicia. "The butcher, the baker, the candlestick maker: investigating facial recognition for multiple-perpetrator crimes." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29506.

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In the United States, 20% of all violent crime is committed by multiple perpetrators. Despite the prevalence of multiple-perpetrator crimes, most published eyewitness research uses a single-perpetrator paradigm: that is, witnesses view a crime committed by a single perpetrator whom they must recognise later. Multiple-perpetrator crimes, however, present with several problems. Police procedure for administering multiple-suspect parades is poorly defined. Furthermore, eyewitnesses must make multiple identifications, and are tasked with a unique memory problem of perpetrator-role assignment. I st
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Medved, Paul D. ""A candlestick lifted high" John Calvin and the expansion of the Kingdom of God /." Theological Research Exchange Network (TREN), 2007. http://www.tren.com/search.cfm?p006-1536.

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Maia, Abra?o Vieira. "Timing no mercado de a??es no brasil com padr?es candlesticks e indicadores associados." Universidade Estadual de Feira de Santana, 2018. http://tede2.uefs.br:8080/handle/tede/683.

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Submitted by Verena Pereira (verenagoncalves@uefs.br) on 2018-07-20T23:30:41Z No. of bitstreams: 1 Disserta??oMestradoVers?oFinalCD.pdf: 2552948 bytes, checksum: 021c9ef4954fba969e5860759364257e (MD5)<br>Made available in DSpace on 2018-07-20T23:30:41Z (GMT). No. of bitstreams: 1 Disserta??oMestradoVers?oFinalCD.pdf: 2552948 bytes, checksum: 021c9ef4954fba969e5860759364257e (MD5) Previous issue date: 2018-03-06<br>The biggest challenge for stock market traders is to identify the timing to enter and exit in a trade. This research uses a trading system based on bullish and bearish candlesticks
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Sy, Madeline. "A Riddle in Nine Syllables: The Maternal Body in Sylvia Plath's Maternity Poems." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1103.

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This thesis endeavors to intervene in the manner Plath’s maternity poems have been discussed by examining the psychological negotiations of identity that occurred while the speaker’s in Plath’s poems are pregnant with child. The method of this thesis is also a departure from the historicized criticism and interpretations of Plath’s poems that often conflate the experience of the speaker with the details of Plath’s life. This analysis will focus on the poems “Metaphors,” “You’re” and “Nick and the Candlestick” which feature subtle imagery that not only illustrate the speaker’s preoccupation wit
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Vašíček, Marek. "Testování úspěšnosti základních svícových formací v technické analýze." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-360477.

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This diploma thesis deals with the testing of the success of individual candlestick patterns of technical analysis. In the first part the theoretical basis of technical analysis and candlestick patterns will be presented. The second part will define basic candlestick patterns and their program definition. Backtesting on historical data will verify the success of individual candlestick patterns on EURUSD currency pair. In the third part, a trading system will be built based on the results of the testing of the candlestick patterns. An optimal setting of the trading system will be proposed. The
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Giaquinto, Cláudia Daniela Melo. "Metodologia para quantificação e acompanhamento de indicadores-chave de desempenho operacional." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/172050.

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Indicadores-chave de desempenho (KPIs) exercem um papel de extrema importância na indústria de processos, auxiliando na tomada de decisão. No entanto, para serem representativos precisam ser calculados de forma confiável. O presente trabalho propôs uma metodologia para o cálculo destes KPIs com base em técnicas de detecção do estado estacionário, remoção de ruído, propagação de erros e análise de sensibilidade. Estes KPIs foram apresentados, de acordo com o que consta na literatura, em uma nova ferramenta gráfica de acompanhamento proposta pelos autores, denominada StatSSCandlePlot. O StatSSCa
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Books on the topic "Candlestik"

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Weigand, Edith S. Candlestick witness. Zhera Publications, 1994.

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Atlas, Ted. Candlestick Park. Arcadia Pub., 2010.

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1955-, Scheppe Wolfgang, ed. Candlestick Point. Steidl, 2011.

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Wilson, Wendell E. Miners' candlestick patents. 2nd ed. Mineralogical Record, 1985.

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Peters, Nick. Miracle at Candlestick! Longstreet Press, 1993.

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Bulkowski, Thomas N. Encyclopedia of Candlestick Charts. John Wiley & Sons, Ltd., 2008.

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Bulkowski, Thomas N., ed. Encyclopedia of Candlestick Charts. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119202288.

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Palmquist, Steve, ed. Money-Making-Candlestick-Patterns. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119204480.

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Press, FT, ed. Basic candlestick chart investing. FTPress Delivers, 2011.

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Little, Jean. Searching for Candlestick Park. Cobblehill Books/Dutton, 1997.

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Book chapters on the topic "Candlestik"

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Shimizu, Yosuke. "Reading Candlestick Charts." In Breakthroughs in Technical Analysis. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119204749.ch4.

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Mann, Andrew D., and Denise Gorse. "Deep Candlestick Mining." In Neural Information Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70096-0_93.

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Nelli, Fabio. "Candlestick Charts with jqPlot." In Create Web Charts With jqPlot. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0862-5_7.

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Nelli, Fabio. "Candlestick Charts with D3." In Create Web Charts with D3. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0865-6_6.

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Nelli, Fabio. "Candlestick Charts with jqPlot." In Beginning JavaScript Charts. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6290-9_12.

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Nelli, Fabio. "Candlestick Charts with D3." In Beginning JavaScript Charts. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6290-9_23.

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Marszałek, Adam, and Tadeusz Burczyński. "Ordered Fuzzy Candlesticks." In Theory and Applications of Ordered Fuzzy Numbers. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59614-3_10.

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Birmingham, David. "Butchers, Bakers and Candlestick-Makers." In Switzerland: A Village History. Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230287273_7.

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Bathla, Divyanshu, Ashish Garg, and Sarika. "Stock Trend Prediction Using Candlestick Pattern." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5080-5_21.

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Hsu Yu-Chia. "Forecasting National Football League Game Outcomes Based on Fuzzy Candlestick Patterns." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-722-1-22.

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In this paper, a sports outcome prediction approach based on sports metric candlestick and fuzzy pattern recognition is proposed. The sports gambling market data are gathered and processed to form the candlestick chart, which has been widely used in financial time series analysis. Unlike the traditional candlestick is composed of the price for financial market analysis, the candlestick for sports metric is determined by the point spread, total point scored, and the gambling shock which measures the bias of gambling line and real total point scored. The fluctuation behaviors of sports outcome a
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Conference papers on the topic "Candlestik"

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Alagdeve, Vilas, Pradeep Karule, and Prasanna Palsodkar. "Stock Prediction Using Dual Analysis of Candlestick Chart Pattern." In 2024 2nd International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS). IEEE, 2024. https://doi.org/10.1109/icetems64039.2024.10965039.

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Palash, Mohosin Islam, Samia Rahman Misty, and Mohammad Shafiul Alam. "Automated Recognition of Harmonic Patterns in Candlestick Chart: A Comparative Study of Machine Learning and Deep Learning Approaches." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11022580.

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Перова, Е. Д., and Ю. В. Гусарова. "CERAMIC CANDLESTICK: NEW SHAPES AND FUNCTIONS." In Образ, знак и символ сувенира. Материалы IX Всероссийской национальной научно-практической конференции. Crossref, 2023. http://dx.doi.org/10.54874/9785605054283_236.

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Подсвечник как функциональный предмет существует с давних времен. До появления электричества он являлся одним из основных источников искусственного освещения. С началом использования электрической лампочки основные функции подсвечника изменились, а вместе с этим преобразовались и его формы. Современные тенденции в формообразовании подсвечника имеют связь и с видом свечей, поскольку появляются новые материалы для их производства, а также формы — от чайных свечей до насыпных. Экспонирование подсвечников с многообразными функциями — от сувенира до интерьерного объекта — на различных выставках и м
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Guo, Siou-Jhih, Fu-Chun Hsu, and Chih-Chieh Hung. "Deep Candlestick Predictor: A Framework toward Forecasting the Price Movement from Candlestick Charts." In 2018 9th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP). IEEE, 2018. http://dx.doi.org/10.1109/paap.2018.00044.

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Lu, Jinchun, Rachsuda Setthawong, and Pisal Setthawong. "Validation of Candlestick Patterns as a Technical Indicator for Commodity Traders, Proposal of Improved Candlestick Encoding, and Data Mining Improved Candlestick Patterns." In IAIT 2023: 13th International Conference on Advances in Information Technology. ACM, 2023. http://dx.doi.org/10.1145/3628454.3628496.

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Belford, Peter. "Candlestick stock analysis with genetic algorithms." In the 8th annual conference. ACM Press, 2006. http://dx.doi.org/10.1145/1143997.1144295.

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Alagdeve, Vilas, and Pradeep Karule. "Candlestick pattern analysis for stock prediction." In INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION, AND INTELLIGENT COMPUTING: ICRAIC 2K24. AIP Publishing, 2025. https://doi.org/10.1063/5.0254170.

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Zen-Yu Quan. "Stock prediction by searching similar candlestick charts." In 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW 2013). IEEE, 2013. http://dx.doi.org/10.1109/icdew.2013.6547474.

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Ho, Kin-Hon, Tse-Tin Chan, Haoyuan Pan, and Chin Li. "Do Candlestick Patterns Work in Cryptocurrency Trading?" In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671826.

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Chen, Jun-Hao, Cheng-Han Wu, Yun-Chneg Tsai, and Samuel Yen-Chi Chen. "Explainable Digital Currency Candlestick Pattern AI Learner." In 2022 14th International Conference on Knowledge and Smart Technology (KST). IEEE, 2022. http://dx.doi.org/10.1109/kst53302.2022.9727231.

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Reports on the topic "Candlestik"

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Cooper, Gene R. Moments on a Coning M864 by a Liquid Payload: The Candlestick Problem and Porous Media. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada453380.

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