03649nam 2200613Ia 450 991082984360332120230725044850.00-470-59322-91-119-19848-81-282-45647-497866124564730-470-59321-0(CKB)2550000000005922(EBL)477716(OCoLC)609853598(SSID)ssj0000365206(PQKBManifestationID)12098826(PQKBTitleCode)TC0000365206(PQKBWorkID)10401645(PQKB)10417185(MiAaPQ)EBC477716(EXLCZ)99255000000000592220091008d2010 uy 0engur|n|||||||||txtccrReminiscences of a stock operator[electronic resource] with new commentary and insights on the life and times of Jesse Livermore /Edwin Lefevre ; foreword by Paul Tudor JonesAnnotated edition /by Jon D. Markman.Hoboken, NJ John Wiley & Sons20101 online resource (438 p.)Description based upon print version of record.0-470-48159-5 Includes bibliographical references.Reminiscences of a Stock Operator, Annotated Edition: With New Commentary and Insights on the Life and Times of Jesse Livermore; CONTENTS; FOREWORD; PREFACE; CHAPTER I; CHAPTER II; CHAPTER III; CHAPTER IV; CHAPTER V; CHAPTER VI; CHAPTER VII; CHAPTER VIII; CHAPTER IX; CHAPTER X; CHAPTER XI; CHAPTER XII; CHAPTER XIII; CHAPTER XIV; CHAPTER XV; CHAPTER XVI; CHAPTER XVII; CHAPTER XVIII; CHAPTER XIX; CHAPTER XX; CHAPTER XXI; CHAPTER XXII; CHAPTER XXIII; CHAPTER XXIV; APPENDIX: Dow Jones Industrial Average (1895-1929); PAUL TUDOR JONES ON REMINISCENCES; SELECTED QUOTES; CREDITS; ABOUT THE AUTHORWith new commentary and Insights on the life and times of Jesse Livermore Reminiscences of a Stock Operator is the fictionalized biography of perhaps the most famous financial speculator of all time-Jesse Livermore. This annotated edition bridges the gap between Edwin Lefevre's fictionalized account of Livermore's life and the actual, historical events, places, and people that populate the book. It also describes the variety of trading approaches Livermore used throughout his life and analyzes his psychological development as a trader and the lessons gained through hard experiences. Analyzes legendary trader Jesse Livermore's strategies and explains how they can be used in today's markets Provides factual details regarding the actual companies Livermore traded in and the people who helped/hindered him along the way Explains the structure and mechanics of the Livermore-era markets, including the bucket shops and the commodity exchanges Includes more than 100 pages of new material Reminiscences of a Stock Operator has endured over 70 years because traders and investors continue to find lessons from Livermore's experiences that they can apply to their own trading. This annotated edition will continue the trend.SpeculationStockbrokersUnited StatesSpeculation.Stockbrokers332.62332.642092Lefevre Edwin1871-1943,888326Markman Jon D.1958-Jones Paul TudorMiAaPQMiAaPQMiAaPQCaOLUBOOK9910829843603321Reminiscences of a stock operator4022988UNINA05473nam 22007335 450 991068677660332120251225205304.09783031289903(electronic bk.)978303128989710.1007/978-3-031-28990-3(MiAaPQ)EBC7231667(Au-PeEL)EBL7231667(OCoLC)1375293631(DE-He213)978-3-031-28990-3(PPN)269094393(CKB)26388094200041(EXLCZ)992638809420004120230330d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEdge Computing and IoT: Systems, Management and Security Third EAI International Conference, ICECI 2022, Virtual Event, December 13-14, 2022, Proceedings /edited by Zhu Xiao, Ping Zhao, Xingxia Dai, Jinmei Shu1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (327 pages)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,1867-822X ;478Print version: Xiao, Zhu Edge Computing and IoT: Systems, Management and Security Cham : Springer,c2023 9783031289897 Models and methods for data management in IoT -- Forecasting the Temperature of BEV Battery Pack based on Field Testing Data -- The Data Exchange Protocol over Multi-chain BlockchainUsing Zero-knowledge Proof -- A Hybrid Task Offloading and Service Cache Scheme for Vehicular Edge Computing -- On Enhancing Transmission Performance for IoV Based on Improved Greedy Algorithm -- Precise Segmentation on Poly-Yolo, YoloV5 and FCN -- Adaptive approaches to manage energy consumption and security of systems -- Research on DAG Based Consensus Mechanism for Adjustable Load Metering Data -- A Detection and Information Processing Model based on an Automatic Mechanism for Tax Payment Control in Developing Countries -- IEC-FOF: An Industrial Electricity Consumption Forecasting and Optimization Framework -- Demons Hidden in the Light: Unrestricted Adversarial Illumination Attacks -- Edge Intelligence Based Garbage Classification Detection Method -- Mobile computing in wireless networks -- Evaluation of Higher Education System -- Defense Mechanisms against Audio Adversarial Attacks: Recent Advances and Future Directions -- An Empirical Study of Worldwide Plastic Waste Mitigation -- Prediction for Surface Subsidence of Shield Construction in Water-Rich Sand Egg Stratum Based on Edge Intelligence -- Highly Accurate Dynamic Gesture Recognition Method Based on Edge Intelligence -- Distributed computing in IOT -- Edge Intelligence Based Garbage Classification Detection Method -- Adversarial Example Attacks in Internet of Things (IoT) -- Training Node Screening in Decentralized Trusted Federated Learning -- Exploration and Practice of Course Homework Metaverse Based on Extended Reality under Edge Computing -- Federated Learning Based User Scheduling for Real-Time Multimedia Tasks in EdgeDevices -- A Co-caching Strategy for Edges Based on Federated Learning and Regional Prevalence -- LSTM-DAM: Malicious Network Traffic Prediction for Cloud Manufacturing System.This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,1867-822X ;478Computer networksArtificial intelligenceApplication softwareSocial sciencesData processingComputersComputer Communication NetworksArtificial IntelligenceComputer and Information Systems ApplicationsComputer Application in Social and Behavioral SciencesComputing MilieuxComputer networks.Artificial intelligence.Application software.Social sciencesData processing.Computers.Computer Communication Networks.Artificial Intelligence.Computer and Information Systems Applications.Computer Application in Social and Behavioral Sciences.Computing Milieux.005.758005.758Xiao Zhu1350297Zhao Ping1350298Dai Xingxia1350299Shu Jinmei1350300MiAaPQMiAaPQMiAaPQ9910686776603321Edge Computing and IoT: Systems, Management and Security3309827UNINA