{"id":"https://openalex.org/W1495327238","doi":"https://doi.org/10.1109/cec.2015.7257197","title":"Better trade exits for foreign exchange currency trading using FXGP","display_name":"Better trade exits for foreign exchange currency trading using FXGP","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1495327238","doi":"https://doi.org/10.1109/cec.2015.7257197","mag":"1495327238"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2015.7257197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114258952","display_name":"Alexander Loginov","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexander Loginov","raw_affiliation_strings":["Dalhousie University, Faculty of Computer Science, NS, Canada","Dalhousie University, Faculty of Computer Science, 6050 University Avenue, Halifax, NS, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalhousie University, Faculty of Computer Science, NS, Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Dalhousie University, Faculty of Computer Science, 6050 University Avenue, Halifax, NS, Canada#TAB#","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004344968","display_name":"Garnett Wilson","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Garnett Wilson","raw_affiliation_strings":["Dalhousie University, Faculty of Computer Science, NS, Canada","Dalhousie University, Faculty of Computer Science, 6050 University Avenue, Halifax, NS, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalhousie University, Faculty of Computer Science, NS, Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Dalhousie University, Faculty of Computer Science, 6050 University Avenue, Halifax, NS, Canada#TAB#","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003699164","display_name":"Malcolm I. Heywood","orcid":"https://orcid.org/0000-0002-1521-0671"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Malcolm Heywood","raw_affiliation_strings":["Dalhousie University, Faculty of Computer Science, NS, Canada","Dalhousie University, Faculty of Computer Science, 6050 University Avenue, Halifax, NS, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalhousie University, Faculty of Computer Science, NS, Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Dalhousie University, Faculty of Computer Science, 6050 University Avenue, Halifax, NS, Canada#TAB#","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":0.2058,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.41449396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"2510","last_page":"2517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/currency","display_name":"Currency","score":0.6954933404922485},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6733529567718506},{"id":"https://openalex.org/keywords/foreign-exchange-market","display_name":"Foreign exchange market","score":0.6329765319824219},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5910590887069702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5718092918395996},{"id":"https://openalex.org/keywords/fibonacci-number","display_name":"Fibonacci number","score":0.5299155712127686},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.5287579894065857},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.48551106452941895},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.42531245946884155},{"id":"https://openalex.org/keywords/algorithmic-trading","display_name":"Algorithmic trading","score":0.4158555567264557},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35620957612991333},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3245752453804016},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.30749791860580444},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.2672803997993469},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.24130898714065552},{"id":"https://openalex.org/keywords/monetary-economics","display_name":"Monetary economics","score":0.2145346999168396},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1357443928718567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11268395185470581}],"concepts":[{"id":"https://openalex.org/C141121606","wikidata":"https://www.wikidata.org/wiki/Q8142","display_name":"Currency","level":2,"score":0.6954933404922485},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6733529567718506},{"id":"https://openalex.org/C536366893","wikidata":"https://www.wikidata.org/wiki/Q66076","display_name":"Foreign exchange market","level":3,"score":0.6329765319824219},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5910590887069702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718092918395996},{"id":"https://openalex.org/C173734053","wikidata":"https://www.wikidata.org/wiki/Q47577","display_name":"Fibonacci number","level":2,"score":0.5299155712127686},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.5287579894065857},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.48551106452941895},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.42531245946884155},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.4158555567264557},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35620957612991333},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3245752453804016},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.30749791860580444},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.2672803997993469},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.24130898714065552},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.2145346999168396},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1357443928718567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11268395185470581},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2015.7257197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W36751344","https://openalex.org/W128448726","https://openalex.org/W1562948881","https://openalex.org/W1966341317","https://openalex.org/W1993783481","https://openalex.org/W2069127901","https://openalex.org/W2118049332","https://openalex.org/W2127088319","https://openalex.org/W2133535658","https://openalex.org/W2143420866","https://openalex.org/W2159134133","https://openalex.org/W2490242742","https://openalex.org/W2505021187","https://openalex.org/W3122601783"],"related_works":["https://openalex.org/W4313491999","https://openalex.org/W3195402399","https://openalex.org/W2523594540","https://openalex.org/W4206190611","https://openalex.org/W4386802006","https://openalex.org/W2626644293","https://openalex.org/W4380900967","https://openalex.org/W1508920550","https://openalex.org/W3163227199","https://openalex.org/W3202533796"],"abstract_inverted_index":{"Retracement":[0],"is":[1,60,88,140],"the":[2,95,144,152,185],"tendency":[3],"of":[4,21,51,149,161],"markets":[5],"to":[6,24,54,68,106,131,180],"move":[7],"between":[8],"upper":[9],"`resistance'":[10],"and":[11,29,85,103,170,178],"lower":[12],"`support'":[13],"price":[14],"levels.":[15],"Human":[16],"traders":[17],"frequently":[18],"make":[19],"use":[20],"visual":[22],"tools":[23],"help":[25],"identify":[26],"these":[27],"resistance":[28,84],"support":[30,86],"levels":[31,87,96],"so":[32],"that":[33,134],"they":[34],"can":[35,44],"by":[36],"used":[37],"in":[38],"their":[39],"trading":[40,48,121],"decisions.":[41],"These":[42,126],"decision":[43],"be":[45],"put":[46],"into":[47],"strategies":[49,174,186],"composed":[50],"rules":[52,122,127],"designed":[53],"mitigate":[55],"losses":[56],"after":[57],"a":[58,72,100],"trade":[59],"started,":[61],"often":[62,76],"called":[63,77],"`stop":[64],"loss'":[65],"orders,":[66],"or":[67],"take":[69],"profit":[70],"at":[71],"near":[73],"optimal":[74],"time,":[75],"`take":[78],"profit'":[79],"orders.":[80],"However,":[81],"identifying":[82,162],"such":[83],"notoriously":[89],"difficult":[90],"given":[91],"market":[92,156],"volatility.":[93],"Indeed,":[94],"need":[97],"recalculating":[98],"on":[99,165],"continuous":[101],"basis,":[102],"only":[104],"hold":[105],"an":[107,115],"approximate":[108],"degree.":[109],"In":[110],"this":[111],"work":[112],"we":[113],"describe":[114],"approach":[116],"for":[117],"evolving":[118],"buy-stay-sell":[119],"currency":[120],"using":[123,143],"genetic":[124],"programming.":[125],"are":[128],"explicitly":[129],"linked":[130],"technical":[132],"indicators":[133],"incorporate":[135],"features":[136],"characterizing":[137],"retracement.":[138],"Benchmarking":[139],"then":[141],"performed":[142],"most":[145],"recent":[146],"three":[147,158],"years":[148],"data":[150],"from":[151],"EURUSD":[153],"foreign":[154],"exchange":[155],"with":[157],"different":[159],"methods":[160],"retracement":[163],"based":[164],"moving":[166],"average,":[167],"pivot":[168],"points":[169],"Fibonacci":[171,176],"ratios.":[172],"Investment":[173],"employing":[175],"ratios":[177],"found":[179],"provide":[181],"superior":[182],"performance":[183],"among":[184],"examined.":[187]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
