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@article{DBLP:journals/access/ParkKH24, author = {Ji{-}Heon Park and Jae{-}Hwan Kim and Jun{-}Ho Huh}, title = {Deep Reinforcement Learning Robots for Algorithmic Trading: Considering Stock Market Conditions and {U.S.} Interest Rates}, journal = {{IEEE} Access}, volume = {12}, pages = {20705--20725}, year = {2024} }
@article{DBLP:journals/access/TudorS24, author = {Cristiana Tudor and Robert Sova}, title = {Enhancing Trading Decision in Financial Markets: An Algorithmic Trading Framework With Continual Mean-Variance Optimization, Window Presetting, and Controlled Early-Stopping}, journal = {{IEEE} Access}, volume = {12}, pages = {87633--87644}, year = {2024} }
@article{DBLP:journals/eswa/HuangWZL24, author = {Yuling Huang and Xiaoxiao Wan and Lin Zhang and Xiaoping Lu}, title = {A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading}, journal = {Expert Syst. Appl.}, volume = {240}, pages = {122581}, year = {2024} }
@article{DBLP:journals/eswa/KhM24, author = {Mahdi Massahi Kh. and Masoud Mahootchi}, title = {A deep Q-learning based algorithmic trading system for commodity futures markets}, journal = {Expert Syst. Appl.}, volume = {237}, number = {Part {C}}, pages = {121711}, year = {2024} }
@article{DBLP:journals/eswa/MajidiSM24, author = {Naseh Majidi and Mahdi Shamsi and Farokh Marvasti}, title = {Algorithmic trading using continuous action space deep reinforcement learning}, journal = {Expert Syst. Appl.}, volume = {235}, pages = {121245}, year = {2024} }
@article{DBLP:journals/eswa/SevastjanovKR24, author = {Pavel V. Sevastjanov and Krzysztof Kaczmarek and Leszek Rutkowski}, title = {A multi-model approach to the development of algorithmic trading systems for the Forex market}, journal = {Expert Syst. Appl.}, volume = {236}, pages = {121310}, year = {2024} }
@article{DBLP:journals/sncs/LeonSCHS24, author = {Diego Le{\'{o}}n and Javier Sandoval and Andrea Cruz and Germ{\'{a}}n Jairo Hern{\'{a}}ndez and Oscar Sierra}, title = {Deep Heterogeneous AutoML Trend Prediction Model for Algorithmic Trading in the {USD/COP} Colombian {FX} Market Through Limit Order Book {(LOB)}}, journal = {{SN} Comput. Sci.}, volume = {5}, number = {5}, pages = {631}, year = {2024} }
@inproceedings{DBLP:conf/amcis/SengewaldL24a, author = {Julian Sengewald and Richard Lackes}, title = {Robo-Advisory and Algorithmic Trading via Evolutionary Discretization and Rule-Mining}, booktitle = {{AMCIS}}, publisher = {Association for Information Systems}, year = {2024} }
@inproceedings{DBLP:conf/pakdd/ChengZZX24, author = {Xi Cheng and Jinghao Zhang and Yunan Zeng and Wenfang Xue}, title = {{MOT:} {A} Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading}, booktitle = {{PKDD} {(4)}}, series = {Lecture Notes in Computer Science}, volume = {14648}, pages = {30--42}, publisher = {Springer}, year = {2024} }
@article{DBLP:journals/corr/abs-2403-12285, author = {Thanos Konstantinidis and Giorgos Iacovides and Mingxue Xu and Tony G. Constantinides and Danilo P. Mandic}, title = {FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications}, journal = {CoRR}, volume = {abs/2403.12285}, year = {2024} }
@phdthesis{DBLP:phd/basesearch/Felder23, author = {Christopher Felder}, title = {Algorithmic Trading with Machine Learning}, school = {T{\"{u}}bingen University, Germany}, year = {2023} }
@article{DBLP:journals/access/Jin23, author = {Boyi Jin}, title = {A Mean-VaR Based Deep Reinforcement Learning Framework for Practical Algorithmic Trading}, journal = {{IEEE} Access}, volume = {11}, pages = {28920--28933}, year = {2023} }
@article{DBLP:journals/air/AdegboyeKO23, author = {Adesola Adegboye and Michael Kampouridis and Fernando E. B. Otero}, title = {Algorithmic trading with directional changes}, journal = {Artif. Intell. Rev.}, volume = {56}, number = {6}, pages = {5619--5644}, year = {2023} }
@article{DBLP:journals/apin/LiuZBYZ23, author = {Peipei Liu and Yunfeng Zhang and Fangxun Bao and Xunxiang Yao and Caiming Zhang}, title = {Multi-type data fusion framework based on deep reinforcement learning for algorithmic trading}, journal = {Appl. Intell.}, volume = {53}, number = {2}, pages = {1683--1706}, year = {2023} }
@article{DBLP:journals/apin/SunS23, author = {Qizhou Sun and Yain{-}Whar Si}, title = {Supervised actor-critic reinforcement learning with action feedback for algorithmic trading}, journal = {Appl. Intell.}, volume = {53}, number = {13}, pages = {16875--16892}, year = {2023} }
@article{DBLP:journals/asc/HuangLMG23, author = {Zhen Huang and Ning Li and Wenliang Mei and Wenyong Gong}, title = {Algorithmic trading using combinational rule vector and deep reinforcement learning}, journal = {Appl. Soft Comput.}, volume = {147}, pages = {110802}, year = {2023} }
@article{DBLP:journals/bdcc/OmranEY23, author = {Sherin M. Omran and Wessam H. El{-}Behaidy and Aliaa A. A. Youssif}, title = {Optimization of Cryptocurrency Algorithmic Trading Strategies Using the Decomposition Approach}, journal = {Big Data Cogn. Comput.}, volume = {7}, number = {4}, pages = {174}, year = {2023} }
@article{DBLP:journals/es/Malik23, author = {Avinash Malik}, title = {A comparison of machine learning and econometric models for pricing perpetual Bitcoin futures and their application to algorithmic trading}, journal = {Expert Syst. J. Knowl. Eng.}, volume = {40}, number = {10}, year = {2023} }
@article{DBLP:journals/jifs/HuangS23, author = {Yuling Huang and Yunlin Song}, title = {A new hybrid method of recurrent reinforcement learning and BiLSTM for algorithmic trading}, journal = {J. Intell. Fuzzy Syst.}, volume = {45}, number = {2}, pages = {1939--1951}, year = {2023} }
@article{DBLP:journals/jtaer/PauleVianezOGE23, author = {Jessica Paule{-}Vianez and Carmen Orden{-}Cruz and Ra{\'{u}}l G{\'{o}}mez{-}Mart{\'{\i}}nez and Sandra Escamilla{-}Solano}, title = {Fear of {COVID-19} Effect on Stock Markets: {A} Proposal for an Algorithmic Trading System Based on Fear}, journal = {J. Theor. Appl. Electron. Commer. Res.}, volume = {18}, number = {2}, pages = {1142--1156}, year = {2023} }
@inproceedings{DBLP:conf/bcd/Patil23, author = {Tanaya Patil}, title = {From ML-Infused Algorithms to Financial Agents, transforming Algorithmic Trading Excellence: {A} Comprehensive Study}, booktitle = {{BCD}}, pages = {64--68}, publisher = {{IEEE}}, year = {2023} }
@inproceedings{DBLP:conf/ccia/DiazG23, author = {Fernando Villamar{\'{\i}}n D{\'{\i}}az and Carlos Guerrero{-}Mosquera}, title = {Navigating Black Swan Events in Algorithmic Trading: {A} Reinforcement Learning Perspective}, booktitle = {{CCIA}}, series = {Frontiers in Artificial Intelligence and Applications}, volume = {375}, pages = {110--114}, publisher = {{IOS} Press}, year = {2023} }
@inproceedings{DBLP:conf/dese/BlackmunAA23, author = {Piers Blackmun and Sahar Al{-}Sudani and Dhiya Al{-}Jumeily}, title = {Design and Implementation of Algorithmic Stock Trading}, booktitle = {DeSE}, pages = {149--153}, publisher = {{IEEE}}, year = {2023} }
@inproceedings{DBLP:conf/ecai/HudaszekCA23, author = {Kamil Hudaszek and Iwona Chomiak{-}Orsa and Saeed Abdullah M. AL{-}Dobai}, title = {Green Hardware Infrastructure for Algorithmic Trading}, booktitle = {{ECAI} Workshops {(2)}}, series = {Communications in Computer and Information Science}, volume = {1948}, pages = {194--200}, publisher = {Springer}, year = {2023} }
@inproceedings{DBLP:conf/gecco/ChristodoulakiK23, author = {Evangelia Christodoulaki and Michael Kampouridis and Maria Kyropoulou}, title = {Enhanced Strongly typed Genetic Programming for Algorithmic Trading}, booktitle = {{GECCO}}, pages = {1055--1063}, publisher = {{ACM}}, year = {2023} }
@inproceedings{DBLP:conf/iclr/AbediniHHM23, author = {Tohid Abedini and Samin Heydarian and Moein Heidari and Alireza Morsali}, title = {Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading}, booktitle = {Tiny Papers @ {ICLR}}, publisher = {OpenReview.net}, year = {2023} }
@inproceedings{DBLP:conf/ifip12/ZahrahT23, author = {Hasna Haifa Zahrah and Jimmy Tirtawangsa}, title = {Algorithmic Forex Trading Using Q-learning}, booktitle = {{AIAI} {(1)}}, series = {{IFIP} Advances in Information and Communication Technology}, volume = {675}, pages = {24--35}, publisher = {Springer}, year = {2023} }
@inproceedings{DBLP:conf/ssci/ChristodoulakiK23, author = {Eva Christodoulaki and Michael Kampouridis}, title = {Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming}, booktitle = {{SSCI}}, pages = {83--89}, publisher = {{IEEE}}, year = {2023} }
@article{DBLP:journals/corr/abs-2307-09377, author = {Vikram Duvvur and Aashay Mehta and Edward Sun and Bo Wu and Ken Yew Chan and Jeff Schneider}, title = {Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading}, journal = {CoRR}, volume = {abs/2307.09377}, year = {2023} }
@article{DBLP:journals/corr/abs-2309-01784, author = {Song Wei and Andrea Coletta and Svitlana Vyetrenko and Tucker Balch}, title = {{ATMS:} Algorithmic Trading-Guided Market Simulation}, journal = {CoRR}, volume = {abs/2309.01784}, year = {2023} }
@article{DBLP:journals/corr/abs-2312-12774, author = {Nassi Ebadifard and Ajitesh Parihar and Youry Khmelevsky and Ga{\'{e}}tan Hains and Albert Wong and Frank Zhang}, title = {Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization}, journal = {CoRR}, volume = {abs/2312.12774}, year = {2023} }
@article{DBLP:journals/access/TudorS22, author = {Cristiana Tudor and Robert Sova}, title = {Flexible Decision Support System for Algorithmic Trading: Empirical Application on Crude Oil Markets}, journal = {{IEEE} Access}, volume = {10}, pages = {9628--9644}, year = {2022} }
@article{DBLP:journals/af/HurwitzMDB22, author = {Catalina I. Hurwitz and Suchismita Mishra and Robert T. Daigler and Ihsan Badshah}, title = {Dynamics of information leadership in the volatility complex with trading time changes: Evidence from {VIX} futures and {VIX} ETPs}, journal = {Algorithmic Finance}, volume = {9}, number = {3-4}, pages = {63--79}, year = {2022} }
@article{DBLP:journals/clsr/Schmidt-KessenE22, author = {Maria Jos{\'{e}} Schmidt{-}Kessen and Helen Eenmaa and Maya Mitre}, title = {Machines that make and keep promises - Lessons for contract automation from algorithmic trading on financial markets}, journal = {Comput. Law Secur. Rev.}, volume = {46}, pages = {105717}, year = {2022} }
@article{DBLP:journals/eswa/Dubey22, author = {Ritesh Kumar Dubey}, title = {Algorithmic Trading: The Intelligent Trading Systems and Its Impact on Trade Size}, journal = {Expert Syst. Appl.}, volume = {202}, pages = {117279}, year = {2022} }
@article{DBLP:journals/eswa/FelizardoPGMCDB22, author = {Leonardo Kanashiro Felizardo and Francisco Caio Lima Paiva and Catharine de Vita Graves and Elia Yathie Matsumoto and Anna Helena Reali Costa and Emilio Del{-}Moral{-}Hernandez and Paolo Brandimarte}, title = {Outperforming algorithmic trading reinforcement learning systems: {A} supervised approach to the cryptocurrency market}, journal = {Expert Syst. Appl.}, volume = {202}, pages = {117259}, year = {2022} }
@article{DBLP:journals/eswa/ShavandiK22, author = {Ali Shavandi and Majid Khedmati}, title = {A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets}, journal = {Expert Syst. Appl.}, volume = {208}, pages = {118124}, year = {2022} }
@inproceedings{DBLP:conf/blockchain2/ZhangWLSL22, author = {Luyao Zhang and Tianyu Wu and Saad Lahrichi and Carlos{-}Gustavo Salas{-}Flores and Jiayi Li}, title = {A Data Science Pipeline for Algorithmic Trading: {A} Comparative Study of Applications for Finance and Cryptoeconomics}, booktitle = {Blockchain}, pages = {298--303}, publisher = {{IEEE}}, year = {2022} }
@inproceedings{DBLP:conf/cec/ChristodoulakiK22, author = {Eva Christodoulaki and Michael Kampouridis}, title = {U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading}, booktitle = {{CEC}}, pages = {1--8}, publisher = {{IEEE}}, year = {2022} }
@inproceedings{DBLP:conf/cikm/DuanCCLQ22, author = {Zhongjie Duan and Cen Chen and Dawei Cheng and Yuqi Liang and Weining Qian}, title = {Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading}, booktitle = {{CIKM}}, pages = {406--415}, publisher = {{ACM}}, year = {2022} }
@inproceedings{DBLP:conf/dexa/NanPZ22, author = {Abhishek Nan and Anandh Perumal and Osmar R. Za{\"{\i}}ane}, title = {Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning}, booktitle = {{DEXA} {(1)}}, series = {Lecture Notes in Computer Science}, volume = {13426}, pages = {167--180}, publisher = {Springer}, year = {2022} }
@inproceedings{DBLP:conf/gecco/TirumalaBMMZ22, author = {Abhiram Tirumala and Rishi Bhatnager and Sriram Mudireddy and Pranav Manjunath and Jason Zutty}, title = {Designing a novel and high performance algorithmic trading model using evolutionary AutoML and technical analysis}, booktitle = {{GECCO} Companion}, pages = {312--315}, publisher = {{ACM}}, year = {2022} }
@inproceedings{DBLP:conf/icbdt/XuX22, author = {Jingxia Xu and Yun Xiong}, title = {Algorithmic Trading Strategies for Informed Traders}, booktitle = {{ICBDT}}, pages = {160--164}, publisher = {{ACM}}, year = {2022} }
@inproceedings{DBLP:conf/iccta2/NemethS22, author = {Marcell N{\'{e}}meth and G{\'{a}}bor Sz{\"{u}}cs}, title = {Split Feature Space Ensemble Method using Deep Reinforcement Learning for Algorithmic Trading}, booktitle = {{ICCTA}}, pages = {188--194}, publisher = {{ACM}}, year = {2022} }
@inproceedings{DBLP:conf/icis/ChoNJ22, author = {Kanghyun Cho and Kihwan Nam and JaeHwuen Jung}, title = {Blessing or Curse: Impact of Algorithmic Trading Bots Invasion of the Cryptocurrency Market}, booktitle = {{ICIS}}, publisher = {Association for Information Systems}, year = {2022} }
@inproceedings{DBLP:conf/ssci/SinghTT22, author = {Japjeet Singh and Ruppa K. Thulasiram and Aerambamoorthy Thavaneswaran}, title = {{LSTM} based Algorithmic Trading model for Bitcoin}, booktitle = {{SSCI}}, pages = {344--351}, publisher = {{IEEE}}, year = {2022} }
@article{DBLP:journals/corr/abs-2206-14932, author = {Luyao Zhang and Tianyu Wu and Saad Lahrichi and Carlos{-}Gustavo Salas{-}Flores and Jiayi Li}, title = {A Data Science Pipeline for Algorithmic Trading: {A} Comparative Study of Applications for Finance and Cryptoeconomics}, journal = {CoRR}, volume = {abs/2206.14932}, year = {2022} }
@article{DBLP:journals/corr/abs-2208-10707, author = {Boyi Jin}, title = {An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm}, journal = {CoRR}, volume = {abs/2208.10707}, year = {2022} }
@article{DBLP:journals/corr/abs-2210-03469, author = {Naseh Majidi and Mahdi Shamsi and Farokh Marvasti}, title = {Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning}, journal = {CoRR}, volume = {abs/2210.03469}, year = {2022} }
@phdthesis{DBLP:phd/ethos/Spooner21, author = {Thomas Spooner}, title = {Algorithmic trading and reinforcement learning: robust methodologies for {AI} in finance}, school = {University of Liverpool, {UK}}, year = {2021} }
@article{DBLP:journals/access/AloudA21, author = {Monira Essa Aloud and Nora Alkhamees}, title = {Intelligent Algorithmic Trading Strategy Using Reinforcement Learning and Directional Change}, journal = {{IEEE} Access}, volume = {9}, pages = {114659--114671}, year = {2021} }
@article{DBLP:journals/access/ParkL21, author = {Deog{-}Yeong Park and Ki{-}Hoon Lee}, title = {Practical Algorithmic Trading Using State Representation Learning and Imitative Reinforcement Learning}, journal = {{IEEE} Access}, volume = {9}, pages = {152310--152321}, year = {2021} }
@article{DBLP:journals/eswa/TheateE21, author = {Thibaut Th{\'{e}}ate and Damien Ernst}, title = {An application of deep reinforcement learning to algorithmic trading}, journal = {Expert Syst. Appl.}, volume = {173}, pages = {114632}, year = {2021} }
@article{DBLP:journals/peerj-cs/AhmadAAAK21, author = {Iftikhar Ahmad and Muhammad Ovais Ahmad and Mohammed A. Alqarni and Abdulwahab Ali Almazroi and Muhammad Imran Khan Khalil}, title = {Using algorithmic trading to analyze short term profitability of Bitcoin}, journal = {PeerJ Comput. Sci.}, volume = {7}, pages = {e337}, year = {2021} }
@article{DBLP:journals/tcss/LiWWZ21, author = {Yuze Li and Shouyang Wang and Yunjie Wei and Qing Zhu}, title = {A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading}, journal = {{IEEE} Trans. Comput. Soc. Syst.}, volume = {8}, number = {6}, pages = {1357--1368}, year = {2021} }
@inproceedings{DBLP:conf/compsac/HoqueTPT21, author = {Md. Erfanul Hoque and Aerambamoorthy Thavaneswaran and Alex Paseka and Ruppa K. Thulasiram}, title = {An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility}, booktitle = {{COMPSAC}}, pages = {1760--1765}, publisher = {{IEEE}}, year = {2021} }
@inproceedings{DBLP:conf/compsac/Johnson-Skinner21, author = {Ethan Johnson{-}Skinner and You Liang and Na Yu and Alin Morariu}, title = {A Novel Algorithmic Trading Strategy using Hidden Markov Model for Kalman Filtering Innovations}, booktitle = {{COMPSAC}}, pages = {1766--1771}, publisher = {{IEEE}}, year = {2021} }
@inproceedings{DBLP:conf/www/SawhneyAWS21, author = {Ramit Sawhney and Shivam Agarwal and Arnav Wadhwa and Rajiv Ratn Shah}, title = {Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading}, booktitle = {{WWW}}, pages = {11--22}, publisher = {{ACM} / {IW3C2}}, year = {2021} }
@article{DBLP:journals/corr/abs-2105-13126, author = {Thomas Orton}, title = {An Introduction To Regret Minimization In Algorithmic Trading: {A} Survey of Universal Portfolio Techniques}, journal = {CoRR}, volume = {abs/2105.13126}, year = {2021} }
@article{DBLP:journals/corr/abs-2106-00123, author = {Tidor{-}Vlad Pricope}, title = {Deep Reinforcement Learning in Quantitative Algorithmic Trading: {A} Review}, journal = {CoRR}, volume = {abs/2106.00123}, year = {2021} }
@article{DBLP:journals/corr/abs-2109-11270, author = {Ceren Kocaogullar and Arthur Gervais and Benjamin Livshits}, title = {Towards Private On-Chain Algorithmic Trading}, journal = {CoRR}, volume = {abs/2109.11270}, year = {2021} }
@article{DBLP:journals/corr/abs-2110-14936, author = {Nathan Crone and Eoin Brophy and Tom{\'{a}}s Ward}, title = {Exploration of Algorithmic Trading Strategies for the Bitcoin Market}, journal = {CoRR}, volume = {abs/2110.14936}, year = {2021} }
@article{DBLP:journals/bigdatasociety/Hansen20, author = {Kristian Bondo Hansen}, title = {The virtue of simplicity: On machine learning models in algorithmic trading}, journal = {Big Data Soc.}, volume = {7}, number = {1}, pages = {205395172092655}, year = {2020} }
@article{DBLP:journals/entropy/HilbertD20, author = {Martin Hilbert and David Darmon}, title = {How Complexity and Uncertainty Grew with Algorithmic Trading}, journal = {Entropy}, volume = {22}, number = {5}, pages = {499}, year = {2020} }
@article{DBLP:journals/eor/HaZ20, author = {Youngmin Ha and Hai Zhang}, title = {Algorithmic trading for online portfolio selection under limited market liquidity}, journal = {Eur. J. Oper. Res.}, volume = {286}, number = {3}, pages = {1033--1051}, year = {2020} }
@article{DBLP:journals/eswa/LeiZLYS20, author = {Kai Lei and Bing Zhang and Yu Li and Min Yang and Ying Shen}, title = {Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading}, journal = {Expert Syst. Appl.}, volume = {140}, year = {2020} }
@article{DBLP:journals/ijais/PeiV20, author = {Duo Pei and Miklos A. Vasarhelyi}, title = {Big data and algorithmic trading against periodic and tangible asset reporting: The need for {U-XBRL}}, journal = {Int. J. Account. Inf. Syst.}, volume = {37}, pages = {100453}, year = {2020} }
@article{DBLP:journals/informaticaSI/SaifanSAA20, author = {Ramzi R. Saifan and Khaled Sharif and Mohammad Abu{-}Ghazaleh and Mohammad Abdel{-}Majeed}, title = {Investigating Algorithmic Stock Market Trading using Ensemble Machine Learning Methods}, journal = {Informatica (Slovenia)}, volume = {44}, number = {3}, year = {2020} }
@article{DBLP:journals/jcis/VoY20, author = {Au Vo and Christopher Yost{-}Bremm}, title = {A High-Frequency Algorithmic Trading Strategy for Cryptocurrency}, journal = {J. Comput. Inf. Syst.}, volume = {60}, number = {6}, pages = {555--568}, year = {2020} }
@article{DBLP:journals/jifs/BayramAB20, author = {Mehmet Bayram and Muzaffer Akat and Serol Bulkan}, title = {Algorithmic pairs trading with expert inputs, a fuzzy statistical arbitrage framework}, journal = {J. Intell. Fuzzy Syst.}, volume = {38}, number = {1}, pages = {697--707}, year = {2020} }
@inproceedings{DBLP:conf/compsac/LiangTPZT20, author = {You Liang and Aerambamoorthy Thavaneswaran and Alexander Paseka and Zimo Zhu and Ruppa K. Thulasiram}, title = {A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price}, booktitle = {{COMPSAC}}, pages = {225--234}, publisher = {{IEEE}}, year = {2020} }
@inproceedings{DBLP:conf/compsac/LiangTYHT20, author = {You Liang and Aerambamoorthy Thavaneswaran and Na Yu and Md. Erfanul Hoque and Ruppa K. Thulasiram}, title = {Dynamic Data Science Applications in Optimal Profit Algorithmic Trading}, booktitle = {{COMPSAC}}, pages = {1314--1319}, publisher = {{IEEE}}, year = {2020} }
@inproceedings{DBLP:conf/eva/Garancs20, author = {Janis Garancs}, title = {In Flow Between Fascination, Awe, Despair and Trance: Algorithmically controlled live online trading experience}, booktitle = {{EVA}}, series = {Workshops in Computing}, publisher = {{BCS}}, year = {2020} }
@inproceedings{DBLP:conf/fuzzIEEE/ThavaneswaranLZ20, author = {A. Thavaneswaran and You Liang and Zimo Zhu and Ruppa K. Thulasiram}, title = {Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading}, booktitle = {{FUZZ-IEEE}}, pages = {1--8}, publisher = {{IEEE}}, year = {2020} }
@inproceedings{DBLP:conf/hicss/WangO20, author = {Hongchang Wang and Eric Overby}, title = {How Does Algorithmic Trading Influence Investor Participation in Peer-to-Peer Online Lending Markets?}, booktitle = {{HICSS}}, pages = {1--10}, publisher = {ScholarSpace}, year = {2020} }
@inproceedings{DBLP:conf/iccai/LeiPS20, author = {Ying Lei and Qinke Peng and Yiqing Shen}, title = {Deep Learning for Algorithmic Trading: Enhancing {MACD} Strategy}, booktitle = {{ICCAI}}, pages = {51--57}, publisher = {{ACM}}, year = {2020} }
@inproceedings{DBLP:conf/ssci/LiangTH20, author = {You Liang and Aerambamoorthy Thavaneswaran and Md. Erfanul Hoque}, title = {A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility}, booktitle = {{SSCI}}, pages = {1107--1114}, publisher = {{IEEE}}, year = {2020} }
@article{DBLP:journals/corr/abs-2001-09403, author = {Abhishek Nan and Anandh Perumal and Osmar R. Za{\"{\i}}ane}, title = {Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning}, journal = {CoRR}, volume = {abs/2001.09403}, year = {2020} }
@article{DBLP:journals/corr/abs-2002-11523, author = {Evgeny Ponomarev and Ivan V. Oseledets and Andrzej Cichocki}, title = {Using Reinforcement Learning in the Algorithmic Trading Problem}, journal = {CoRR}, volume = {abs/2002.11523}, year = {2020} }
@article{DBLP:journals/corr/abs-2004-06627, author = {Thibaut Th{\'{e}}ate and Damien Ernst}, title = {An Application of Deep Reinforcement Learning to Algorithmic Trading}, journal = {CoRR}, volume = {abs/2004.06627}, year = {2020} }
@article{DBLP:journals/corr/abs-2010-11388, author = {Yaser Faghan and Nancirose Piazza and Vahid Behzadan and Ali Fathi}, title = {Adversarial Attacks on Deep Algorithmic Trading Policies}, journal = {CoRR}, volume = {abs/2010.11388}, year = {2020} }
@article{DBLP:journals/access/LiZZ19c, author = {Yang Li and Wanshan Zheng and Zibin Zheng}, title = {Deep Robust Reinforcement Learning for Practical Algorithmic Trading}, journal = {{IEEE} Access}, volume = {7}, pages = {108014--108022}, year = {2019} }
@article{DBLP:journals/af/SiposC0L19, author = {I. R{\'{o}}bert Sipos and Attila Ceffer and G{\'{a}}bor Horv{\'{a}}th and J{\'{a}}nos Levendovszky}, title = {Parallel {MCMC} sampling of AR-HMMs for prediction based option trading}, journal = {Algorithmic Finance}, volume = {8}, number = {1-2}, pages = {47--55}, year = {2019} }
@article{DBLP:journals/algorithmica/Fung19, author = {Stanley P. Y. Fung}, title = {Optimal Online Two-Way Trading with Bounded Number of Transactions}, journal = {Algorithmica}, volume = {81}, number = {11-12}, pages = {4238--4257}, year = {2019} }
@article{DBLP:journals/anor/SunKC19, author = {Edward W. Sun and Timm Kruse and Yi{-}Ting Chen}, title = {Stylized algorithmic trading: satisfying the predictive near-term demand of liquidity}, journal = {Ann. Oper. Res.}, volume = {281}, number = {1-2}, pages = {315--347}, year = {2019} }
@article{DBLP:journals/asc/MartinQI19, author = {Carlos Mart{\'{\i}}n and David Quintana and Pedro Isasi}, title = {Grammatical Evolution-based ensembles for algorithmic trading}, journal = {Appl. Soft Comput.}, volume = {84}, year = {2019} }
@inproceedings{DBLP:conf/fsdm/LiuFY19, author = {Jun Liu and Qingqin Fu and Onur Yilmaz}, title = {Prediction of High Frequency Trading Financial Data Using Stacked LSTMs for Algorithmic Trading}, booktitle = {{FSDM}}, series = {Frontiers in Artificial Intelligence and Applications}, volume = {320}, pages = {1064--1070}, publisher = {{IOS} Press}, year = {2019} }
@inproceedings{DBLP:conf/ictai/SunSWW19, author = {Hongyong Sun and Nan Sang and Jia Wu and Chen Wang}, title = {Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping}, booktitle = {{ICTAI}}, pages = {1494--1498}, publisher = {{IEEE}}, year = {2019} }
@inproceedings{DBLP:conf/pricai/MazumdarZG19a, author = {Kingshuk Mazumdar and Dongmo Zhang and Yi Guo}, title = {Multi-peak Algorithmic Trading Strategies Using Grey Wolf Optimizer}, booktitle = {{PRICAI} {(3)}}, series = {Lecture Notes in Computer Science}, volume = {11672}, pages = {748--754}, publisher = {Springer}, year = {2019} }
@article{DBLP:journals/af/Virgilio18, author = {Gianluca Piero Maria Virgilio}, title = {Absolute vs. relative speed in high-frequency trading}, journal = {Algorithmic Finance}, volume = {7}, number = {3-4}, pages = {71--86}, year = {2018} }
@article{DBLP:journals/af/WrightCL18, author = {Dominic Wright and Luca Capriotti and Jacky Lee}, title = {Machine learning and corporate bond trading}, journal = {Algorithmic Finance}, volume = {7}, number = {3-4}, pages = {105--110}, year = {2018} }
@article{DBLP:journals/algorithmica/SaettlerLC18, author = {Aline Medeiros Saettler and Eduardo Sany Laber and Ferdinando Cicalese}, title = {Correction to: Trading Off Worst and Expected Cost in Decision Tree Problems}, journal = {Algorithmica}, volume = {80}, number = {11}, pages = {3431--3436}, year = {2018} }
@article{DBLP:journals/asc/SezerO18, author = {Omer Berat Sezer and A. Murat Ozbayoglu}, title = {Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach}, journal = {Appl. Soft Comput.}, volume = {70}, pages = {525--538}, year = {2018} }
@article{DBLP:journals/siamrev/CarteaJR18, author = {{\'{A}}lvaro Cartea and Sebastian Jaimungal and Jason Ricci}, title = {Algorithmic Trading, Stochastic Control, and Mutually Exciting Processes}, journal = {{SIAM} Rev.}, volume = {60}, number = {3}, pages = {673--703}, year = {2018} }
@inproceedings{DBLP:conf/amcis/CurrieSCV18, author = {Wendy Currie and Jonathan J. M. Seddon and Ricky Cooper and Ben Van Vliet}, title = {Theories for Analysing Innovation and Technology in Emerging Financial Markets: The Case of Algorithmic and High Frequency Trading}, booktitle = {{AMCIS}}, publisher = {Association for Information Systems}, year = {2018} }
@inproceedings{DBLP:conf/icteri/ReznikP18, author = {Nadiia Reznik and Lubov Pankratova}, title = {High-Frequency Trade as a Component of Algorithmic Trading: Market Consequences}, booktitle = {{ICTERI} Workshops}, series = {{CEUR} Workshop Proceedings}, volume = {2104}, pages = {73--83}, publisher = {CEUR-WS.org}, year = {2018} }
@inproceedings{DBLP:conf/sera/YeX18, author = {Botao Ye and Dejun Xie}, title = {An Overview of Event Based Directional Change for Algorithmic Trading}, booktitle = {{SERA}}, pages = {13--18}, publisher = {{IEEE} Computer Society}, year = {2018} }
@inproceedings{DBLP:conf/system/VaitonisMK18, author = {Mantas Vaitonis and Saulius Masteika and Konstantinas Korovkinas}, title = {Algorithmic Trading and Machine Learning Based on {GPU}}, booktitle = {{SYSTEM}}, series = {{CEUR} Workshop Proceedings}, volume = {2147}, pages = {49--54}, publisher = {CEUR-WS.org}, year = {2018} }
@article{DBLP:journals/corr/abs-1802-03010, author = {Sevi Baltaoglu and Lang Tong and Qing Zhao}, title = {Algorithmic Bidding for Virtual Trading in Electricity Markets}, journal = {CoRR}, volume = {abs/1802.03010}, year = {2018} }
@article{DBLP:journals/algorithmica/SaettlerLC17, author = {Aline Medeiros Saettler and Eduardo Sany Laber and Ferdinando Cicalese}, title = {Trading Off Worst and Expected Cost in Decision Tree Problems}, journal = {Algorithmica}, volume = {79}, number = {3}, pages = {886--908}, year = {2017} }
@article{DBLP:journals/siamfm/CarteaDJ17, author = {{\'{A}}lvaro Cartea and Ryan Donnelly and Sebastian Jaimungal}, title = {Algorithmic Trading with Model Uncertainty}, journal = {{SIAM} J. Financial Math.}, volume = {8}, number = {1}, pages = {635--671}, year = {2017} }
@inproceedings{DBLP:conf/amcis/CurrieS17, author = {Wendy L. Currie and Jonathan J. M. Seddon}, title = {Theories for Analysing Innovation and Technology in Emerging Financial Markets: The Case of Algorithmic and High Frequency Trading}, booktitle = {{AMCIS}}, publisher = {Association for Information Systems}, year = {2017} }
@inproceedings{DBLP:conf/ismis/RutaRC17, author = {Andrzej Ruta and Dymitr Ruta and Ling Cen}, title = {Algorithmic Daily Trading Based on Experts' Recommendations}, booktitle = {{ISMIS}}, series = {Lecture Notes in Computer Science}, volume = {10352}, pages = {735--744}, publisher = {Springer}, year = {2017} }
@inproceedings{DBLP:conf/ruscdays/Zelenkov17, author = {Yuri Zelenkov}, title = {Parallel Heterogeneous Multi-classifier System for Decision Making in Algorithmic Trading}, booktitle = {RuSCDays}, series = {Communications in Computer and Information Science}, volume = {793}, pages = {251--265}, publisher = {Springer}, year = {2017} }
@inproceedings{DBLP:conf/wea2/ArevaloNHSLA17, author = {Andr{\'{e}}s Ar{\'{e}}valo and Jaime Ni{\~{n}}o and Germ{\'{a}}n Jairo Hern{\'{a}}ndez{-}P{\'{e}}rez and Javier Sandoval and Diego Le{\'{o}}n and Arbey Arag{\'{o}}n}, title = {Algorithmic Trading Using Deep Neural Networks on High Frequency Data}, booktitle = {{WEA}}, series = {Communications in Computer and Information Science}, volume = {742}, pages = {144--155}, publisher = {Springer}, year = {2017} }
@article{DBLP:journals/corr/abs-1710-10836, author = {Jithin Mathews and Priya Mehta and S. V. Kasi Visweswara Rao and Ch. Sobhan Babu}, title = {An algorithmic approach to handle circular trading in commercial taxing system}, journal = {CoRR}, volume = {abs/1710.10836}, year = {2017} }
@phdthesis{DBLP:phd/ethos/Booth16, author = {Ash Booth}, title = {Automated algorithmic trading: machine learning and agent-based modelling in complex adaptive financial markets}, school = {University of Southampton, {UK}}, year = {2016} }
@phdthesis{DBLP:phd/us/Wah16, author = {Elaine Wah}, title = {Computational Models of Algorithmic Trading in Financial Markets}, school = {University of Michigan, {USA}}, year = {2016} }
@article{DBLP:journals/eswa/BerutichLLQ16, author = {Jos{\'{e}} Manuel Berutich and Francisco L{\'{o}}pez and Francisco Luna and David Quintana}, title = {Robust technical trading strategies using {GP} for algorithmic portfolio selection}, journal = {Expert Syst. Appl.}, volume = {46}, pages = {307--315}, year = {2016} }
@article{DBLP:journals/ijar/BendtsenP16, author = {Marcus Bendtsen and Jos{\'{e}} M. Pe{\~{n}}a}, title = {Gated Bayesian networks for algorithmic trading}, journal = {Int. J. Approx. Reason.}, volume = {69}, pages = {58--80}, year = {2016} }
@inproceedings{DBLP:conf/bis/Raudys16, author = {Aistis Raudys}, title = {Portfolio of Global Futures Algorithmic Trading Strategies for Best Out-of-Sample Performance}, booktitle = {{BIS}}, series = {Lecture Notes in Business Information Processing}, volume = {255}, pages = {424--435}, publisher = {Springer}, year = {2016} }
@article{DBLP:journals/corr/Inggs16, author = {Gordon Inggs}, title = {Algorithmic Trading: {A} brief, computational finance case study on data centre FPGAs}, journal = {CoRR}, volume = {abs/1607.05069}, year = {2016} }
@article{DBLP:journals/af/CooperOV15, author = {Ricky Cooper and Michael Ong and Ben Van Vliet}, title = {Multi-scale capability: {A} better approach to performance measurement for algorithmic trading}, journal = {Algorithmic Finance}, volume = {4}, number = {1-2}, pages = {53--68}, year = {2015} }
@article{DBLP:journals/anor/KumaresanK15, author = {Miles Kumaresan and Natasa Krejic}, title = {Optimal trading of algorithmic orders in a liquidity fragmented market place}, journal = {Ann. Oper. Res.}, volume = {229}, number = {1}, pages = {521--540}, year = {2015} }
@article{DBLP:journals/asc/HuLZSNL15, author = {Yong Hu and Kang Liu and Xiangzhou Zhang and Lijun Su and E. W. T. Ngai and Mei Liu}, title = {Application of evolutionary computation for rule discovery in stock algorithmic trading: {A} literature review}, journal = {Appl. Soft Comput.}, volume = {36}, pages = {534--551}, year = {2015} }
@inproceedings{DBLP:conf/atal/Wah15, author = {Elaine Wah}, title = {Computational Models of Algorithmic Trading in Financial Markets}, booktitle = {{AAMAS}}, pages = {1987--1988}, publisher = {{ACM}}, year = {2015} }
@inproceedings{DBLP:conf/sisy/Gruver15, author = {William A. Gruver}, title = {Algorithmic trading systems}, booktitle = {{SISY}}, pages = {17}, publisher = {{IEEE}}, year = {2015} }
@inproceedings{DBLP:conf/uai/Bendtsen15, author = {Marcus Bendtsen}, title = {Bayesian Optimisation of Gated Bayesian Networks for Algorithmic Trading}, booktitle = {BMA@UAI}, series = {{CEUR} Workshop Proceedings}, volume = {1565}, pages = {2--11}, publisher = {CEUR-WS.org}, year = {2015} }
@inproceedings{DBLP:conf/webi/GiacomelGP15, author = {Felipe Giacomel and Renata Galante and Adriano C. M. Pereira}, title = {An Algorithmic Trading Agent Based on a Neural Network Ensemble: {A} Case of Study in North American and Brazilian Stock Markets}, booktitle = {{WI-IAT} {(2)}}, pages = {230--233}, publisher = {{IEEE} Computer Society}, year = {2015} }
@article{DBLP:journals/corr/GarciaS15, author = {David Garc{\'{\i}}a and Frank Schweitzer}, title = {Social signals and algorithmic trading of Bitcoin}, journal = {CoRR}, volume = {abs/1506.01513}, year = {2015} }
@phdthesis{DBLP:phd/ethos/Galas14, author = {Michal Galas}, title = {Experimental computational simulation environments for algorithmic trading}, school = {University College London, {UK}}, year = {2014} }
@article{DBLP:journals/fcsc/LiDZWX14, author = {Xiaodong Li and Xiaotie Deng and Shanfeng Zhu and Feng Wang and Haoran Xie}, title = {An intelligent market making strategy in algorithmic trading}, journal = {Frontiers Comput. Sci.}, volume = {8}, number = {4}, pages = {596--608}, year = {2014} }
@article{DBLP:journals/isca/AbdunabiB14, author = {Tarek Abdunabi and Otman Basir}, title = {Holonic Intelligent Multi-Agent Algorithmic Trading System {(HIMAATS)}}, journal = {Int. J. Comput. Their Appl.}, volume = {21}, number = {1}, pages = {54--61}, year = {2014} }
@article{DBLP:journals/tcci/PonomarevaC14, author = {Natalia Ponomareva and Anisoara Calinescu}, title = {Revisiting Agent-Based Models of Algorithmic Trading Strategies}, journal = {Trans. Comput. Collect. Intell.}, volume = {16}, pages = {92--121}, year = {2014} }
@inproceedings{DBLP:conf/cifer/KoschnickeGSS14, author = {Sven Koschnicke and Vasco Grossmann and Christoph Starke and Manfred Schimmler}, title = {Quality and consistency assurance of quote data for algorithmic trading strategies}, booktitle = {CIFEr}, pages = {255--261}, publisher = {{IEEE}}, year = {2014} }
@inproceedings{DBLP:conf/cifer/ShenHYO14, author = {Yun Shen and Ruihong Huang and Chang Yan and Klaus Obermayer}, title = {Risk-averse reinforcement learning for algorithmic trading}, booktitle = {CIFEr}, pages = {391--398}, publisher = {{IEEE}}, year = {2014} }
@inproceedings{DBLP:conf/ijcnn/YangQBS14, author = {Steve Y. Yang and Qifeng Qiao and Peter A. Beling and William T. Scherer}, title = {Algorithmic trading behavior identification using reward learning method}, booktitle = {{IJCNN}}, pages = {3807--3414}, publisher = {{IEEE}}, year = {2014} }
@inproceedings{DBLP:conf/pgm/BendtsenP14, author = {Marcus Bendtsen and Jos{\'{e}} M. Pe{\~{n}}a}, title = {Learning Gated Bayesian Networks for Algorithmic Trading}, booktitle = {Probabilistic Graphical Models}, series = {Lecture Notes in Computer Science}, volume = {8754}, pages = {49--64}, publisher = {Springer}, year = {2014} }
@article{DBLP:journals/af/KirilenkoSM13, author = {Andrei Kirilenko and Richard B. Sowers and Xiangqian Meng}, title = {A multiscale model of high-frequency trading}, journal = {Algorithmic Finance}, volume = {2}, number = {1}, pages = {59--98}, year = {2013} }
@article{DBLP:journals/af/Wang13, author = {Shilei Wang}, title = {Dynamical trading mechanisms in limit order markets}, journal = {Algorithmic Finance}, volume = {2}, number = {3-4}, pages = {213--231}, year = {2013} }
@article{DBLP:journals/cacm/TreleavenGL13, author = {Philip C. Treleaven and Michal Galas and Vidhi Lalchand}, title = {Algorithmic trading review}, journal = {Commun. {ACM}}, volume = {56}, number = {11}, pages = {76--85}, year = {2013} }
@article{DBLP:journals/ieicet/AbrilS13, author = {Ildefons Magrans de Abril and Masashi Sugiyama}, title = {Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering}, journal = {{IEICE} Trans. Inf. Syst.}, volume = {96-D}, number = {3}, pages = {742--745}, year = {2013} }
@article{DBLP:journals/isf/SeoC13, author = {Ji{-}Yong Seo and Sangmi Chai}, title = {The role of algorithmic trading systems on stock market efficiency}, journal = {Inf. Syst. Frontiers}, volume = {15}, number = {5}, pages = {873--888}, year = {2013} }
@inproceedings{DBLP:conf/bife/ChenLL13, author = {Chaoteng Jordan Chen and Xiaotao Liu and Kin Keung Lai}, title = {Comparisons of Strategies on Gold Algorithmic Trading}, booktitle = {{BIFE}}, pages = {286--290}, publisher = {{IEEE} Computer Society}, year = {2013} }
@phdthesis{DBLP:phd/ethos/Yingsaeree12, author = {Chaiyakorn Yingsaeree}, title = {Algorithmic trading : model of execution probability and order placement strategy}, school = {University College London, {UK}}, year = {2012} }
@article{DBLP:journals/jstsp/AhrabianTM12, author = {Alireza Ahrabian and Clive Cheong Took and Danilo P. Mandic}, title = {Algorithmic Trading Using Phase Synchronization}, journal = {{IEEE} J. Sel. Top. Signal Process.}, volume = {6}, number = {4}, pages = {399--403}, year = {2012} }
@inproceedings{DBLP:conf/cifer/GabrielssonKJ12, author = {Patrick Gabrielsson and Rikard K{\"{o}}nig and Ulf Johansson}, title = {Hierarchical Temporal Memory-based algorithmic trading of financial markets}, booktitle = {CIFEr}, pages = {1--8}, publisher = {{IEEE}}, year = {2012} }
@inproceedings{DBLP:conf/er/Hogenboom12, author = {Frederik Hogenboom}, title = {Financial Events Recognition in Web News for Algorithmic Trading}, booktitle = {{ER} Workshops}, series = {Lecture Notes in Computer Science}, volume = {7518}, pages = {368--377}, publisher = {Springer}, year = {2012} }
@inproceedings{DBLP:conf/hicss/BellG12, author = {David Bell and Laide Gana}, title = {Algorithmic Trading Systems: {A} Multifaceted View of Adoption}, booktitle = {{HICSS}}, pages = {3090--3099}, publisher = {{IEEE} Computer Society}, year = {2012} }
@inproceedings{DBLP:conf/iceccs/PonomarevaC12, author = {Natalia Ponomareva and Anisoara Calinescu}, title = {Extending and Evaluating Agent-Based Models of Algorithmic Trading Strategies}, booktitle = {{ICECCS}}, pages = {351--360}, publisher = {{IEEE} Computer Society}, year = {2012} }
@inproceedings{DBLP:conf/ppsn/GhandarMZ12, author = {Adam Ghandar and Zbigniew Michalewicz and Ralf Zurbruegg}, title = {Enhancing Profitability through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System}, booktitle = {{PPSN} {(2)}}, series = {Lecture Notes in Computer Science}, volume = {7492}, pages = {42--51}, publisher = {Springer}, year = {2012} }
@inproceedings{DBLP:conf/spawc/FengRP12, author = {Yiyong Feng and Francisco Rubio and Daniel P{\'{e}}rez Palomar}, title = {Optimal order execution for algorithmic trading: {A} CVaR approach}, booktitle = {{SPAWC}}, pages = {480--484}, publisher = {{IEEE}}, year = {2012} }
@article{DBLP:journals/af/OthmanS11, author = {Abraham Othman and Tuomas Sandholm}, title = {Inventory-based versus Prior-based Options Trading Agents}, journal = {Algorithmic Finance}, volume = {1}, number = {2}, pages = {95--121}, year = {2011} }
@article{DBLP:journals/af/Schmitz11, author = {James E. Schmitz}, title = {Algorithmic trading in the Iowa electronic markets}, journal = {Algorithmic Finance}, volume = {1}, number = {2}, pages = {157--181}, year = {2011} }
@article{DBLP:journals/computer/NutiMTY11, author = {Giuseppe Nuti and Mahnoosh Mirghaemi and Philip C. Treleaven and Chaiyakorn Yingsaeree}, title = {Algorithmic Trading}, journal = {Computer}, volume = {44}, number = {11}, pages = {61--69}, year = {2011} }
@inproceedings{DBLP:conf/ecms/Kumar11, author = {Deepak Kumar}, title = {Numerical Methods For Optimal Control Based Schemes For Volatility Calibration And Algorithmic Tradings}, booktitle = {{ECMS}}, pages = {289--295}, publisher = {European Council for Modeling and Simulation}, year = {2011} }
@inproceedings{DBLP:conf/wirtschaftsinformatik/Groth11, author = {Sven S. Groth}, title = {Does Algorithmic Trading Increase Volatility? Empirical Evidence from the Fully-Electronic Trading Platform Xetra}, booktitle = {Wirtschaftsinformatik}, pages = {112}, year = {2011} }
@article{DBLP:journals/pvldb/SadoghiJLSS10, author = {Mohammad Sadoghi and Hans{-}Arno Jacobsen and Martin Labrecque and Warren Shum and Harsh Singh}, title = {Efficient Event Processing through Reconfigurable Hardware for Algorithmic Trading}, journal = {Proc. {VLDB} Endow.}, volume = {3}, number = {2}, pages = {1525--1528}, year = {2010} }
@inproceedings{DBLP:conf/asap/WrayLP10, author = {Stephen Wray and Wayne Luk and Peter R. Pietzuch}, title = {Exploring algorithmic trading in reconfigurable hardware}, booktitle = {{ASAP}}, pages = {325--328}, publisher = {{IEEE} Computer Society}, year = {2010} }
@inproceedings{DBLP:conf/fc/YuenSLT10, author = {William Yuen and Paul F. Syverson and Zhenming Liu and Christopher Thorpe}, title = {Intention-Disguised Algorithmic Trading}, booktitle = {Financial Cryptography}, series = {Lecture Notes in Computer Science}, volume = {6052}, pages = {408--415}, publisher = {Springer}, year = {2010} }
@inproceedings{DBLP:conf/fpl/WrayLP10, author = {Stephen Wray and Wayne Luk and Peter R. Pietzuch}, title = {Run-Time Reconfiguration for a Reconfigurable Algorithmic Trading Engine}, booktitle = {{FPL}}, pages = {163--166}, publisher = {{IEEE} Computer Society}, year = {2010} }
@inproceedings{DBLP:conf/iih-msp/ChouC10, author = {Chia{-}Han Chou and Allen Y. Chang}, title = {Visual Development Platform for White-Box Algorithmic Trading}, booktitle = {{IIH-MSP}}, pages = {712--715}, publisher = {{IEEE} Computer Society}, year = {2010} }
@inproceedings{DBLP:conf/iiwas/Rashid10, author = {Adnan Rashid}, title = {Using a service oriented architecture for simulating algorithmic trading strategies}, booktitle = {iiWAS}, pages = {925--929}, publisher = {{ACM}}, year = {2010} }
@inproceedings{DBLP:conf/isica/WangDD10, author = {Feng Wang and Keren Dong and Xiaotie Deng}, title = {Algorithmic Trading Strategy Optimization Based on Mutual Information Entropy Based Clustering}, booktitle = {{ISICA} {(1)}}, series = {Lecture Notes in Computer Science}, volume = {6382}, pages = {252--260}, publisher = {Springer}, year = {2010} }
@inproceedings{DBLP:conf/mkwi/StorkenmaierMW10, author = {Andreas Storkenmaier and Marius B. M{\"{u}}ller and Christof Weinhardt}, title = {A Software Framework for a News Event Driven Simulation of Algorithmic Trading Strategies}, booktitle = {{MKWI}}, pages = {1871--1882}, publisher = {Universit{\"{a}}tsverlag G{\"{o}}ttingen}, year = {2010} }
@article{DBLP:journals/fcsc/WangDD09, author = {Feng Wang and Keren Dong and Xiaotie Deng}, title = {Algorithmic trading system: design and applications}, journal = {Frontiers Comput. Sci. China}, volume = {3}, number = {2}, pages = {235--246}, year = {2009} }
@inproceedings{DBLP:conf/ecis/GsellG09, author = {Markus Gsell and Peter Gomber}, title = {Algorithmic trading engines versus human traders - Do they behave different in securities markets?}, booktitle = {{ECIS}}, pages = {98--109}, year = {2009} }
@inproceedings{DBLP:conf/i3e/Groth09, author = {Sven S. Groth}, title = {Algorithmic Trading Engines and Liquidity Contribution: The Blurring of "Traditional" Definitions}, booktitle = {{I3E}}, series = {{IFIP}}, volume = {305}, pages = {210--224}, publisher = {Springer}, year = {2009} }
@inproceedings{DBLP:conf/pacis/Gsell09, author = {Markus Gsell}, title = {Technological Innovations in Securities Trading: The Adoption of Algorithmic Trading}, booktitle = {{PACIS}}, pages = {54}, publisher = {AISeL}, year = {2009} }
@inproceedings{DBLP:conf/ecis/Gsell08, author = {Markus Gsell}, title = {Assessing the Impact of Algorithmic Trading on Markets: {A} Simulation Approach}, booktitle = {{ECIS}}, pages = {587--598}, year = {2008} }
@inproceedings{DBLP:conf/icai/BarbosaB08, author = {Rui Pedro Barbosa and Orlando Belo}, title = {Algorithmic Trading Using Intelligent Agents}, booktitle = {{IC-AI}}, pages = {136--142}, publisher = {{CSREA} Press}, year = {2008} }
@inproceedings{DBLP:conf/idc/ParaschivRV08, author = {Daniel Paraschiv and Srinivas Raghavendra and Laurentiu Vasiliu}, title = {Algorithmic Trading on an Artificial Stock Market}, booktitle = {{IDC}}, series = {Studies in Computational Intelligence}, volume = {162}, pages = {281--286}, publisher = {Springer}, year = {2008} }
@inproceedings{DBLP:conf/sac/MontanaTT08, author = {Giovanni Montana and Kostas Triantafyllopoulos and Theodoros Tsagaris}, title = {Data stream mining for market-neutral algorithmic trading}, booktitle = {{SAC}}, pages = {966--970}, publisher = {{ACM}}, year = {2008} }
@article{DBLP:journals/talg/BhatiaCFN07, author = {Randeep Bhatia and Julia Chuzhoy and Ari Freund and Joseph Naor}, title = {Algorithmic aspects of bandwidth trading}, journal = {{ACM} Trans. Algorithms}, volume = {3}, number = {1}, pages = {10:1--10:19}, year = {2007} }
@inproceedings{DBLP:conf/icalp/BhatiaCFN03, author = {Randeep Bhatia and Julia Chuzhoy and Ari Freund and Joseph Naor}, title = {Algorithmic Aspects of Bandwidth Trading}, booktitle = {{ICALP}}, series = {Lecture Notes in Computer Science}, volume = {2719}, pages = {751--766}, publisher = {Springer}, year = {2003} }
@article{DBLP:journals/algorithmica/El-YanivFKT01, author = {Ran El{-}Yaniv and Amos Fiat and Richard M. Karp and G. Turpin}, title = {Optimal Search and One-Way Trading Online Algorithms}, journal = {Algorithmica}, volume = {30}, number = {1}, pages = {101--139}, year = {2001} }
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