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[null,"1.","Record Nr.",null,"UNISA996466421103316"]
[null,null,"Titolo",null,"Energy Informatics [[electronic resource] ] : 4th D-A-CH Conference, EI 2015, Karlsruhe, Germany, November 12-13, 2015, Proceedings / / edited by Sebastian Gottwalt, Lukas König, Hartmut Schmeck"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-25876-1"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 223 p. 92 illus.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI ; ; 9424"]
[null,null,"Disciplina",null,"333.79"]
[null,null,"Soggetti",null,"Management information systems"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Computer communication systems"]
[{"$nulls":4},"Renewable energy resources"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Energy policy"]
[{"$nulls":4},"Energy and state"]
[{"$nulls":4},"Management of Computing and Information Systems"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Renewable and Green Energy"]
[{"$nulls":4},"Algorithm Analysis and Problem Complexity"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Energy Policy, Economics and Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 4th D-A-CH Conference on Energy Informatics, D-A-CH EI 2015, held in Karlsruhe, Germany, in November 2015. The 18 revised full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on distributed energy sources and storage, smart meters and monitoring, research lab infrastructures, electric mobility, communication and security, and modeling and simulation."]
[null,"2.","Record Nr.",null,"UNINA9910746096203321"]
[null,null,"Autore",null,"Liu Peng"]
[null,null,"Titolo",null,"Quantitative Trading Strategies Using Python : Technical Analysis, Statistical Testing, and Machine Learning / / by Peng Liu"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023"]
[null,null,"ISBN",null,"9781484296752"]
[{"$nulls":4},"1484296753"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (341 pages)"]
[null,null,"Disciplina",null,"005.133"]
[null,null,"Soggetti",null,"Python (Computer program language)"]
[{"$nulls":4},"Financial services industry"]
[{"$nulls":4},"Python"]
[{"$nulls":4},"Financial Services"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[{"$nulls":4},"Implementing the Momentum Trading Strategy"]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction to Quantitative Trading -- Chapter 2: Understanding the Electronic Market -- Chapter 3: Understanding Risk and Return -- Chapter 4: Forward and Futures Contracts -- Chapter 5: Trend Following Strategy -- Chapter 6: Momentum Trading Strategy -- Chapter 7: Backtesting A Trading Strategy -- Chapter 8: Statistical Arbitrage with Hypothesis Testing -- Chapter 9: Optimizing Trading Strategies with Bayesian Optimization -- Chapter 10: Optimizing Trading Strategies with Machine Learning."]
[null,null,null,"Sommario/riassunto","Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python. Part one of Quantitative Trading Strategies with Python covers the fundamentals of trading strategies, including an introduction to quantitative trading, the electronic market, risk and return, and forward and futures contracts. Part II introduces common trading strategies, including trend-following, momentum trading, and evaluation process via backtesting. "]
[{"$nulls":4},"Part III covers more advanced topics, including statistical arbitrage using hypothesistesting, optimizing trading parameters using Bayesian optimization, and generating trading signals using a machine learning approach. Whether you're an experienced trader looking to automate your trading strategies or a beginner interested in learning quantitative trading, this book will be a valuable resource. Written in a clear and concise style that makes complex topics easy to understand, and chock full of examples and exercises to help reinforce the key concepts, you’ll come away from it with a firm understanding of core trading strategies and how to use Python to implement them. You will: Master the fundamental concepts of quantitative trading Use Python and its popular libraries to build trading models and strategies from scratch Perform data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning for trading strategies using Python Utilize common trading strategies such as trend-following, momentum trading, and pairs trading Evaluate different quantitative trading strategies by applying the relevant performance measures and statistics in a scientific manner during backtesting."]
[null,"3.","Record Nr.",null,"UNINA9910483366103321"]
[null,null,"Autore",null,"Haran M. J. Shai"]
[null,null,"Titolo",null,"Arithmetical investigations : representation theory, orthogonal polynomials, and quantum interpolations / / Shai M.J. Haran"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, : Springer, c2008"]
[null,null,"ISBN",null,"9783540783794"]
[{"$nulls":4},"3540783792"]
[null,null,"Edizione",null,"[1st ed. 2008.]"]
[null,null,"Descrizione fisica",null,"xii, 217 p. : ill"]
[null,null,"Collana",null,"Lecture notes in mathematics, , 0075-8434 ; ; 1941"]
[null,null,"Disciplina",null,"511.42"]
[null,null,"Soggetti",null,"p-adic numbers"]
[{"$nulls":4},"Number theory"]
[{"$nulls":4},"Interpolation"]
[{"$nulls":4},"Representations of quantum groups"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. [209]-213) and index."]
[null,null,"Nota di contenuto",null,"Introduction: Motivations from Geometry -- Gamma and Beta Measures -- Markov Chains -- Real Beta Chain and q-Interpolation -- Ladder Structure -- q-Interpolation of Local Tate Thesis -- Pure Basis and Semi-Group -- Higher Dimensional Theory -- Real Grassmann Manifold -- p-Adic Grassmann Manifold -- q-Grassmann Manifold -- Quantum Group Uq(su(1, 1)) and the q-Hahn Basis."]
[null,null,null,"Sommario/riassunto","In this volume the author further develops his philosophy of quantum interpolation between the real numbers and the p-adic numbers. The p-adic numbers contain the p-adic integers Zp which are the inverse limit of the finite rings Z/pn. This gives rise to a tree, and probability measures w on Zp correspond to Markov chains on this tree. From the tree structure one obtains special basis for the Hilbert space L2(Zp,w). The real analogue of the p-adic integers is the interval [-1,1], and a probability measure w on it gives rise to a special basis for L2([-1,1],w) - the orthogonal polynomials, and to a Markov chain on \"finite approximations\" of [-1,1]. For special (gamma and beta) measures there is a \"quantum\" or \"q-analogue\" Markov chain, and a special basis, that within certain limits yield the real and the p-adic theories. This idea can be generalized variously. In representation theory, it is the quantum general linear group GLn(q)that interpolates between the p-adic group GLn(Zp), and between its real (and complex) analogue -the orthogonal On (and unitary Un )groups. There is a similar quantum "]
[{"$nulls":4},"interpolation between the real and p-adic Fourier transform and between the real and p-adic (local unramified part of) Tate thesis, and Weil explicit sums."]