LEADER 04410nam 22005775 450 001 9910254754303321 005 20220623183941.0 010 $a9781484221785 010 $a1484221788 024 7 $a10.1007/978-1-4842-2178-5 035 $a(CKB)3710000000873214 035 $a(DE-He213)978-1-4842-2178-5 035 $a(MiAaPQ)EBC4699976 035 $a(CaSebORM)9781484221785 035 $a(PPN)195514319 035 $a(OCoLC)971245755 035 $a(OCoLC)ocn971245755 035 $a(EXLCZ)993710000000873214 100 $a20160928d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomated Trading with R $eQuantitative Research and Platform Development /$fby Chris Conlan 205 $a1st ed. 2016. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2016. 215 $a1 online resource (XXV, 205 p. 35 illus., 16 illus. in color.) 300 $aIncludes index. 311 08$a9781484221778 311 08$a148422177X 327 $aPart 1: Problem Scope -- Chapter 1: Fundamentals of Automated Trading -- Chapter 2: Networking Part I: Fetching Data -- Part 2: Building the Platform -- Chapter 3: Data Preparation -- Chapter 4: Indicators -- Chapter 5: Rule Sets -- Chapter 6: High-Performance Computing -- Chapter 7: Simulation and Backtesting -- Chapter 8: Optimization -- Chapter 9: Networking Part II -- Chapter 10: Organizing and Automating Scripts -- Part 3: Production Trading -- Chapter 11: Looking Forward -- Chapter 12: Appendix A: Source Code -- Chapter 13: Appendix B: Scoping in Multicore R -- . 330 $aAll the tools you need are provided in this book to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage?s API, and the source code is plug-and-play. Automated Trading with R explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. This book will: Provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders Offer an understanding of the internal mechanisms of an automated trading system Standardize discussion and notation of real-world strategy optimization problems What You?ll Learn: To optimize strategies, generate real-time trading decisions, and minimize computation time while programming an automated strategy in R and using its package library How to best simulate strategy performance in its specific use case to derive accurate performance estimates Important optimization criteria for statistical validity in the context of a time series An understanding of critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital. 606 $aProgramming languages (Electronic computers) 606 $aComputer programming 606 $aR (Computer program language) 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 615 0$aProgramming languages (Electronic computers) 615 0$aComputer programming. 615 0$aR (Computer program language) 615 14$aProgramming Languages, Compilers, Interpreters. 615 24$aProgramming Techniques. 676 $a005.13 700 $aConlan$b Chris$4aut$4http://id.loc.gov/vocabulary/relators/aut$0859262 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910254754303321 996 $aAutomated Trading with R$91917781 997 $aUNINA LEADER 03269nam 22007335 450 001 9910254670403321 005 20251030105609.0 010 $a9781137577276 010 $a1137577274 024 7 $a10.1057/978-1-137-57727-6 035 $a(CKB)3710000000666602 035 $a(DE-He213)978-1-137-57727-6 035 $a(MiAaPQ)EBC4720274 035 $a(PPN)222239980 035 $a(Perlego)3483059 035 $a(EXLCZ)993710000000666602 100 $a20160509d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBlack Swan Start-ups $eUnderstanding the Rise of Successful Technology Business in Unlikely Places /$fby Sami Mahroum 205 $a1st ed. 2016. 210 1$aLondon :$cPalgrave Macmillan UK :$cImprint: Palgrave Macmillan,$d2016. 215 $a1 online resource (XXIII, 254 p. 3 illus. in color.) 300 $aIncludes index. 311 08$a9781137577269 311 08$a1137577266 330 $aThis book explores startups that have thrived against the odds in places where startup success was deemed to be unlikely. Discussing a number of technology startups from around the world that have succeeded without state backing nor local venture and seed capital, Black Swan Start Ups provides unique insights into unsung models of success beyond the two dominant narratives of Asia?s ?Tiger Economies? and America?s Silicon Valley miracle. The author describes these stories of success as ?black swan events? and ascribes their achievements to the ability of entrepreneurs to leverage the ?place surplus? of their locations, while building connections to support networks outside their immediate geographies. Including case studies such as Skype in Estonia, SoundCloud in Germany and Bayt.Com in Dubai, this insightful book gives a holistic and wide-ranging view of how technology startups have, and can, succeed in less likely places. . 606 $aNew business enterprises 606 $aVenture capital 606 $aSmall business 606 $aIndustrial organization 606 $aTelemarketing 606 $aInternet marketing 606 $aTechnological innovations 606 $aBusiness information services 606 $aStart-Ups and Venture Capital 606 $aSmall Business 606 $aOrganization 606 $aDigital Marketing 606 $aInnovation and Technology Management 606 $aIT in Business 615 0$aNew business enterprises. 615 0$aVenture capital. 615 0$aSmall business. 615 0$aIndustrial organization. 615 0$aTelemarketing. 615 0$aInternet marketing. 615 0$aTechnological innovations. 615 0$aBusiness information services. 615 14$aStart-Ups and Venture Capital. 615 24$aSmall Business. 615 24$aOrganization. 615 24$aDigital Marketing. 615 24$aInnovation and Technology Management. 615 24$aIT in Business. 676 $a658.421 700 $aMahroum$b Sami$4aut$4http://id.loc.gov/vocabulary/relators/aut$0954559 906 $aBOOK 912 $a9910254670403321 996 $aBlack Swan Start-ups$92159174 997 $aUNINA