Academic literature on the topic 'Online Trading'

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Journal articles on the topic "Online Trading"

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Lin, Y. C. George, Chiung-Lin Chiu, and Elena Kang. "Understanding Online Traders' Behavior: An Example from Common Stock Investment in Taiwan." Social Behavior and Personality: an international journal 38, no. 5 (2010): 637–45. http://dx.doi.org/10.2224/sbp.2010.38.5.637.

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The effect of online trading on investors' trading behavior is analyzed based on investors' trading data provided by a major security firm in Taiwan. Findings are as follows: (1) Male and younger traders preferred online trading. Investors who had a higher gross return tended to switch to using online trading. (2) Even though investors traded more actively after going online, their trading performance was not negatively affected. (3) Online trading did not significantly increase speculative trading even though more information can be assessed online. (4) The order execution efficiency of onlin
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Oh, Natalie Y., Jerry T. Parwada, and Terry S. Walter. "Investors' trading behavior and performance: Online versus non-online equity trading in Korea." Pacific-Basin Finance Journal 16, no. 1-2 (2008): 26–43. http://dx.doi.org/10.1016/j.pacfin.2007.04.009.

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Ahyati and Dian Masita Dewi. "Relationship between Risk Management and Investment Strategy on Profit Forex Trading Online Gold." Open Access Indonesia Journal of Social Sciences 5, no. 3 (2022): 691–705. http://dx.doi.org/10.37275/oaijss.v5i3.115.

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This study aims to analyze the effect of risk management and investment strategy on online forex trading, as well as the effect of risk management, investment strategy, and online forex trading on profit trading. The type of research used is an explanatory survey. The unit of analysis is members of the trader community in Banjarbaru, South Kalimantan, totaling 178 people with the sampling technique used is purposive sampling totaling 100 respondents. The variables used are risk management (X1), investment strategy (X2), online forex trading (Z), and profit trading (Y) using the path analysis m
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Ahyati and Dian Masita Dewi. "Relationship between Risk Management and Investment Strategy on Profit Forex Trading Online Gold." Open Access Indonesia Journal of Social Sciences 5, no. 3 (2022): 691–705. http://dx.doi.org/10.37275/oaijss.v5i3.115.

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This study aims to analyze the effect of risk management and investment strategy on online forex trading, as well as the effect of risk management, investment strategy, and online forex trading on profit trading. The type of research used is an explanatory survey. The unit of analysis is members of the trader community in Banjarbaru, South Kalimantan, totaling 178 people with the sampling technique used is purposive sampling totaling 100 respondents. The variables used are risk management (X1), investment strategy (X2), online forex trading (Z), and profit trading (Y) using the path analysis m
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Budhathoki, Ashish, Niranjan Devkota, Sushanta Mahapatra, et al. "Determinants of Investors' Awareness of Online Trading in the Nepal Stock Market: An Empirical Assessment Using Binary Logit Model." Quest Journal of Management and Social Sciences 5, no. 2 (2023): 244–57. http://dx.doi.org/10.3126/qjmss.v5i2.60870.

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Background: Online trading is becoming a prominent method of conducting stock exchanges through web platforms. While many regions worldwide have embraced online trading, its introduction in Nepal is relatively recent. The Nepalese stock market is considerably smaller than its neighboring nations, highlighting the significance of capital in a country's economic progress.
 Objective: The main objective of this paper is to investigate the factors that influence investor awareness of online trading within the Nepal Stock Exchange. The study focuses on investors who engage in stock market acti
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WL Fong, Michelle. "Online Securities Trading in China." Issues in Informing Science and Information Technology 2 (2005): 120–28. http://dx.doi.org/10.28945/815.

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Kulkarni, R. N., Meghana G. N, Hatti muttamma, Reshma P, and Sukanya N. "Online Trading of Agricutural Products." International Journal of Computer Trends and Technology 35, no. 2 (2016): 102–6. http://dx.doi.org/10.14445/22312803/ijctt-v35p118.

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Annunziata, Vincent P. "Online Commodities Trading for Business." Journal of Corporate Accounting & Finance 13, no. 1 (2001): 9–12. http://dx.doi.org/10.1002/jcaf.1202.

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Al Madhoun, Bashar R. T. "Factors Attracting Young Generations to Online Trading A Case Study." Emirati Journal of Business, Economics, & Social Studies 4, no. 1 (2025): 72–91. https://doi.org/10.54878/hc6wkr84.

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This research addresses the factors attracting young generations to online trading. As it was noted in the recent 5 years, mainly during and after the COVID-19 pandemic, a great interest in online trading markets was noted, especially within the young generation of ages between 18-35 years old. Fintech Asset Pro SDN. BHD. was taken as a sample to study the described case within Kuala Lumpur, Malaysia, between the years 2019 to 2023. The percentages of growth in online traders between the years 2019 to 2023 show that the number of traders within the age bracket (18-35 years old) is growing on a
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Rafiqah, Rafiqah. "Analisis Shari’ah Compliance Pada Trading Forex Online." MISYKAT: Jurnal Ilmu-ilmu Al-Quran, Hadist, Syari'ah dan Tarbiyah 5, no. 1 (2020): 147. http://dx.doi.org/10.33511/misykat.v5n1.147-164.

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Penelitian ini bertujuan untuk mengetahui bagaimana operasional trading forex online baik yang Islami maupun yang konvensional dan kesesuaiannya dengan prisip-prinsip bay‟ Sharf dalam Islam, selain itu artikel ini juga menganalisa unsur-unsur syariah compliance yang ada pada trading tersebut. Ide dan pemikiran tentang rancangan konsep trading forex online yang Islami juga menjadi fokus dalam penelitian ini. Pendekatan yang dilakukan dalam penelitian ini adalah pendekatan deskriptif atas data kualitatif di mana akan dijelaskan fakta yang terjadi di dalam operasional trading forex online untuk k
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Dissertations / Theses on the topic "Online Trading"

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Zhu, Tao. "Virtual online stock trading system." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1893.

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Stock trading provides a relatively low risk and hassle free channel for people to invest, when compared with other methods. However, it is unfortunate that, for those other people who may be equally interested and financially able in stock trading, they have yet to experience the simplicity of, and the wealth accumulated from stock investments. Reasons for their hesitation to be involved in stock trading vary; but primarily it is due to their lack of experience in trading.
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Fabris, Luca <1989&gt. "Il trading online di strumenti finanziari." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/9361.

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La tesi tratta lo studio sul trading online di strumenti finanziari. Si analizzano le dinamiche generali che riguardano la compravendita di strumenti finanziari in Internet, per poi concentrarsi sullo studio delle piattaforme di trading che permettono di poter operare con strumenti quali le opzioni binarie ed i contratti per differenza.
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Murphy, Nicholas John. "An online learning algorithm for technical trading." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31048.

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We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. The learning algorithm is used to determine the relative population dynamics of technical trading strategies that can survive historical back-testing as well as form an overall aggregated portfolio trading strategy from the set of underlying trading strategies implemented on daily and intraday Johannesburg Stock Exchange data. The resulting population time-series are investigated using unsupervised learning for dimensionality reduction
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Raykhel, Ilya. "Real-time automatic price prediction for eBay online trading /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2697.pdf.

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Han, Seung Jin. "Online detection of mean reversion in algorithmic pairs trading." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/5655/.

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Raykhel, Ilya Igorevitch. "Real-Time Automatic Price Prediction for eBay Online Trading." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1631.

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While Machine Learning is one of the most popular research areas in Computer Science, there are still only a few deployed applications intended for use by the general public. We have developed an exemplary application that can be directly applied to eBay trading. Our system predicts how much an item would sell for on eBay based on that item's attributes. We ran our experiments on the eBay laptop category, with prior trades used as training data. The system implements a feature-weighted k-Nearest Neighbor algorithm, using genetic algorithms to determine feature weights. Our results demonstrate
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Carrondo, Jorge Daniel Rocha Chaves. "Atitudes dos consumidores para compra de automóveis através do comércio online." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/17756.

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Mestrado em Ciências Empresariais<br>A aquisição de um automóvel não é uma decisão fácil, e o online já é uma ferramenta bastante utilizada para a pesquisa de informação, no entanto, somente alguns construtores possibilitam a oportunidade de aquisição do automóvel por esta via. Existem marcas generalistas que já apostam neste tipo de aquisição em alguns países da Europa, contudo em Portugal ainda existe muita resistência para este tipo de inovação. O tema desta dissertação tem como objetivo identificar determinantes que estejam relacionados com a atitude face à compra de automóveis através do
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Fohlin, Nils. "How Online Stock Trading Learning Platforms Can Contribute To Financial Literacy." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-181854.

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Prior studies have shown that investment knowledge and motivation increases when students in a school setting have access to a stock trading learning platform.  This thesis aims to further investigate if a stand-alone online stock trading learning platform, on its own, can help non stock investors understand financial literacy concepts.It further attempts to identify what type of system functionality that is most beneficial for the beginner when it comes to understanding and applying these concepts.  To explore this, an MVP stock trading learning platform1 was initially developed so that new f
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Lorenz, Julian Michael. "Optimal trading algorithms : portfolio transactions, multiperiod portfolio selection, and competitive online search /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17746.

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Sun, P. C. "A core broking model for e-markets." Thesis, Coventry University, 2011. http://curve.coventry.ac.uk/open/items/7e2581d6-c089-47ed-baff-dc819e7fdd13/1.

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Coalition problems in e-markets attract attention from the research communities and industry. This research focuses on e-trading models relating to online coalitions. A new Core Broking Model (CBM), for online group-trading is presented. This aims not only to bring lower prices for buyers but also to create higher profits for providers. The survey of current online shopping sites in this thesis shows that it is almost impossible to find a site designed specifically for group-trading, although there are plenty of joint-selling activities and also many online group-buying sites. The former incre
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Books on the topic "Online Trading"

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Laura, Sether, ed. Online trading. W&A Pub., 2007.

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Patel, Alpesh B., and Paresh H. Kiri, eds. The Online Trading Cookbook. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119209201.

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Paresh, Kiri, ed. The online trading cookbook. Wiley, 2012.

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Farrell, Christopher A. Day Trade Online. John Wiley & Sons, Ltd., 2008.

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Farrell, Christopher A. Day trade online. 2nd ed. Wiley, 2008.

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Carey, Theresa W. Online investing. Dorling Kindersley, 2000.

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Patel, Alpesh B. Net trading: Get online with the new trading strategies. ft.com, 2000.

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Markman, Jon D. Online investing. 2nd ed. Microsoft Press, 2001.

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Chambers, Larry. The online broker and trading directory. McGraw-Hill, 2000.

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Krantz, Matt. Investing online for dummies. 7th ed. Wiley, 2010.

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Book chapters on the topic "Online Trading"

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Hsieh, Chang-Tseh. "Online trading." In Encyclopedia of Finance. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-26336-6_46.

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Hsieh, Chang-Tseh. "Online Trading." In Encyclopedia of Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91231-4_21.

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Hsieh, Chang-Tseh. "Online Trading." In Encyclopedia of Finance. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-5360-4_21.

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Morschheuser, Stefan. "Online-Auktionen? Online Trading!" In Erfolgreiche Praxisbeispiele im Online Marketing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-97748-0_12.

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Abu-Draz, S., and E. Shakshuki. "Agent-Based Online Trading System." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44886-1_58.

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Xiao, Pinghui. "China’s Rising Online Food Trading." In Resource Security and Governance. Routledge, 2017. http://dx.doi.org/10.4324/9781315563930-6.

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Heinemann, Gerrit. "Best Practices and Risks in Online Trading." In The new online trade. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40757-5_5.

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Koutsoupias, Elias, and Philip Lazos. "Online Trading as a Secretary Problem." In Algorithmic Game Theory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99660-8_18.

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Taddicken, Monika, and Cornelia Jers. "The Uses of Privacy Online: Trading a Loss of Privacy for Social Web Gratifications?" In Privacy Online. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21521-6_11.

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Mohr, Esther, and Günter Schmidt. "Trading in Financial Markets with Online Algorithms." In Operations Research Proceedings 2008. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00142-0_6.

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Conference papers on the topic "Online Trading"

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Zhou, Liping. "Research on Optimization Simulation System of Online Trading System Based on Information Processing." In 2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2024. https://doi.org/10.1109/iceace63551.2024.10898588.

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Blancaflor, Eric, and Alex Chester Balmocena. "BuyLow: A Platform Design for Online Goods and Services Trading Platform in the Philippines." In 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2024. http://dx.doi.org/10.1109/icecet61485.2024.10698327.

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S, Murugun, Sheikh Haniah, Shambhavi M. Koti, Saurav Sahani, and Shekhar S N. "A Review on Phishing Threats and Data Securityin Online Trading Systems using Artificial Intelligence Techniques." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690690.

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Porter, Ryan, and Yoav Shoham. "Designing efficient online trading systems." In the 5th ACM conference. ACM Press, 2004. http://dx.doi.org/10.1145/988772.988822.

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Jantarakolica, K., and T. Jantarakolica. "Investment channel using online trading." In 2016 IEEE International Conference on Management of Innovation and Technology (ICMIT). IEEE, 2016. http://dx.doi.org/10.1109/icmit.2016.7605025.

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Cuevas, Gunnar, Matthew Dale, Asmaa Idrisu, et al. "Global Online Trading System (GoTrade)." In 2007 IEEE Systems and Information Engineering Design Symposium. IEEE, 2007. http://dx.doi.org/10.1109/sieds.2007.4374017.

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W. L. Fong, Michelle. "Online Securities Trading in China." In InSITE 2005: Informing Science + IT Education Conference. Informing Science Institute, 2005. http://dx.doi.org/10.28945/2852.

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This paper looks at the adoption of information technology in the Chinese stock exchanges and for online securities trading in China. Because these stock exchanges do not have any major preexisting technology to consider when they automate their operations, they are able to adopt advanced technology. However, the potential and advantages offer by this technology cannot be fully harvested without fundamental structures and proper corporate governance mechanisms in place.
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Yang, Mengyuan, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, and MengHan Wang. "Spotlight News Driven Quantitative Trading Based on Trajectory Optimization." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/548.

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News-driven quantitative trading (NQT) has been popularly studied in recent years. Most existing NQT methods are performed in a two-step paradigm, i.e., first analyzing markets by a financial prediction task and then making trading decisions, which is doomed to failure due to the nearly futile financial prediction task. To bypass the financial prediction task, in this paper, we focus on reinforcement learning (RL) based NQT paradigm, which leverages news to make profitable trading decisions directly. In this paper, we propose a novel NQT framework SpotlightTrader based on decision trajectory o
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Yap, Alexander Y. "Evolution of online financial trading systems." In the 44th annual southeast regional conference. ACM Press, 2006. http://dx.doi.org/10.1145/1185448.1185546.

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Ahmadieh, Elsi, and Nour El Madhoun. "NFTs for Online Trading of Artworks." In 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE, 2023. http://dx.doi.org/10.1109/icbc56567.2023.10174931.

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Reports on the topic "Online Trading"

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Builder SupplyNet - Online Trading Community. Purdue University, 2007. http://dx.doi.org/10.5703/1288284315820.

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