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1. |
Record Nr. |
UNINA9910143688603321 |
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Autore |
Pruden Hank <1936-> |
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Titolo |
The three skills of top trading [[electronic resource] ] : behavioral systems building, pattern recognition, and mental state management / / Hank Pruden |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley & Sons, c2007 |
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ISBN |
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1-118-04476-2 |
1-119-19682-5 |
1-280-82695-9 |
9786610826957 |
0-470-13929-3 |
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Descrizione fisica |
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1 online resource (304 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Stock price forecasting |
Stocks |
Futures |
Speculation |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 273-275) and index. |
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Nota di contenuto |
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Systems building and behavioral finance -- Systems building for the three skills of top trading -- Behavioral finance -- The life cycle model of crowd behavior -- Pattern recognition and discretionary trading -- Wyckoff : the man, the method, the mystique -- The basic elements of charting for the Wyckoff method -- The Wyckoff method of technical analysis and speculation -- Anatomy of a trade -- Mental state management -- Trader psychology and mental discipline -- The composite man -- Putting it all together : ten principles for a trader to live by -- Notes -- Recommended reading -- Bibliography -- Index. |
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Sommario/riassunto |
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Praise for The Three Skills of Top Trading""Professor Pruden's new book, The Three Skills of Top Trading, is unquestionably the best book on a specific trading method and the necessary attributes for trading |
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that I have read. His logic, understanding of human foibles, and use of the Wyckoff method of trading are broadly referenced, readable, understandable, and entertaining.""- Charles D. Kirkpatrick, II, CMT, coauthor ofTechnical Analysis: The Complete Resource for Financial Market Technicians, Editor of the Journal of Technical Analysis, and board member of the Market Tec |
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2. |
Record Nr. |
UNINA9910298316803321 |
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Titolo |
Spatial Database for GPS Wildlife Tracking Data : A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R / / edited by Ferdinando Urbano, Francesca Cagnacci |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (271 p.) |
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Disciplina |
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Soggetti |
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Animal ecology |
Conservation biology |
Ecology |
Zoology |
Biodiversity |
Biotic communities |
Behavioral sciences |
Animal Ecology |
Conservation Biology/Ecology |
Community & Population Ecology |
Behavioral Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction. - Wildlife Tracking Data Management: Chances Come from Difficulties -- Storing Tracking Data in an Advanced Database Platform (PostgreSQL) -- Extending the Database Data Model: Animals and Sensors -- From Data to Information: Associating GPS Positions to Animals -- Spatial is not Special: Managing Tracking data in a Spatial Database -- From Points to Habitat: Relating Environmental Information to GPS Positions -- Tracking Animals in a Dynamic Environment: Remote Sensing Image Time Series -- Data quality: Detection and Management of Outliers -- Exploring Tracking Data: Representations, Methods and Tools in a Spatial DB -- From Data Management to Analysis: Connecting R with the Database -- A Step Further in the Integration of Data Management and Analysis: Pl/R -- Deciphering Animals' Behavior: Joining GPS and Activity Data -- A Bigger Picture: Data Standards, Interoperability, Data Sharing. . |
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Sommario/riassunto |
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This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while preventing error propagation and optimizing analysis performance. Based on the open source PostgreSQL/PostGIS spatial database, the software platform will allow researchers and managers to integrate and harmonize GPS tracking data together with animal characteristics, environmental data sets, including remote sensing image time series, and other bio-logged data, such as acceleration data. Moreover, the book shows how the powerful R statistical environment can be integrated into the software platform, either connecting the database with R, or embedding the same tools in the database through the PostgreSQL extension Pl/R. The client/server architecture allows users to remotely connect a number of software applications that can be used as a database front end, including GIS software and WebGIS. Each chapter offers a real-world data management and processing problem that is discussed in its biological context; solutions are proposed and exemplified through ad hoc SQL code, progressively exploring the potential of spatial database functions applied to the respective wildlife tracking case. Finally, wildlife tracking management issues are discussed in the increasingly widespread framework of collaborative science and data sharing. GPS animal telemetry data from a real study, freely available online, are used to demonstrate the proposed examples. This book is also suitable for undergraduate and graduate students, if accompanied by the basics of databases. . |
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