{"id":"https://openalex.org/W7204221016","doi":"https://doi.org/10.5281/zenodo.22106078","title":"LAB #1658 HARMFUL: TG AUTO: New edge proposed: opening_range_direction_continuation \u2014 E8 Intelligence Research","display_name":"LAB #1658 HARMFUL: TG AUTO: New edge proposed: opening_range_direction_continuation \u2014 E8 Intelligence Research","publication_year":2026,"publication_date":"2026-08-26","ids":{"openalex":"https://openalex.org/W7204221016","doi":"https://doi.org/10.5281/zenodo.22106078"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22106078","doi":"https://doi.org/10.5281/zenodo.22106078","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22106078","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22106078","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136862907","display_name":"Andrew Stewart Caldin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Caldin, Andrew Stewart","raw_affiliation_strings":["Independent Researcher, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5136862907"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.7035999894142151,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.7035999894142151,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.29030001163482666,"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"}},{"id":"https://openalex.org/T12123","display_name":"Financial Analysis and Corporate Governance","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/opening-range-breakout","display_name":"opening range breakout","score":0.9470000267028809},{"id":"https://openalex.org/keywords/day-trading","display_name":"day trading","score":0.8100000023841858},{"id":"https://openalex.org/keywords/xauusd","display_name":"XAUUSD","score":0.8029999732971191},{"id":"https://openalex.org/keywords/eurjpy","display_name":"EURJPY","score":0.9919999837875366},{"id":"https://openalex.org/keywords/gold-trade","display_name":"gold trading","score":0.3889999985694885},{"id":"https://openalex.org/keywords/currency-pairs","display_name":"currency pairs","score":0.47099998593330383}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5752000212669373},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5508000254631042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45489999651908875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43700000643730164},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32359999418258667},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3061000108718872},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.25450000166893005}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22106078","doi":"https://doi.org/10.5281/zenodo.22106078","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22106078","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.22106079","doi":"https://doi.org/10.5281/zenodo.22106079","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22106079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22106078","doi":"https://doi.org/10.5281/zenodo.22106078","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22106078","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.49416762590408325}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"IDEA:":[0],"AUTO-FORWARDED":[1],"from":[2],"the":[3,35,43,53,58,107,115,128,133,145],"Telegram/breakthrough":[4],"stream":[5],"(#706358,":[6],"division=research,":[7],"agent=gtx_scout):":[8],"{":[9],"\"name\":":[10],"\"opening_range_direction_continuation\",":[11],"\"source\":":[12],"\"Toby":[13],"Crabel":[14],"-":[15],"Day":[16],"Trading":[17],"with":[18],"Short":[19],"Term":[20],"Price":[21],"Patterns":[22],"and":[23,47,124,132],"Opening":[24],"Range":[25],"Breakout\",":[26],"\"type\":":[27],"\"filter_flag\",":[28],"\"rule\":":[29],"\"Only":[30],"allow":[31,49],"long":[32],"trades":[33,51],"when":[34,52],"opening":[36,54],"range":[37,55],"(first":[38],"30":[39],"minutes)":[40],"closes":[41,56],"above":[42],"prior":[44,59],"day's":[45,60],"high,":[46],"only":[48],"short":[50],"below":[57],"low;":[61],"all":[62],"other":[63],"setups":[64],"are":[65],"skipped.\",":[66],"\"pseudocode\":":[67],"\"if":[68],"bar.time":[69,84],"==":[70,85],"session_start:\\n":[71],"OR_high":[72],"=":[73,79,90,97],"max(high":[74],"of":[75,81,144],"first":[76,82],"30min)\\n":[77],"OR_low":[78],"min(low":[80],"30min)\\nif":[83],"session_start":[86],"+":[87],"30min:\\n":[88],"OR_close":[89,93,101],"close\\n":[91],"if":[92,100],">":[94],"prior_day_high:\\n":[95],"direction":[96],"'long_only'\\n":[98],"else":[99],"<":[102],"prior_day_low:\\n":[103],"SAME-WINDOW":[104],"EFFECT:":[105],"Over":[106],"current":[108],"window,":[109],"this":[110],"filter":[111],"would":[112],"have":[113],"blocked":[114],"two":[116],"XAUUSD":[117],"SHORT":[118,135],"losses":[119],"(both":[120],"entered":[121],"after":[122],"09:55":[123],"11:20,":[125],"well":[126],"past":[127],"30-min":[129],"OR":[130],"close)":[131],"EURJPY":[134],"Author:":[136],"Andrew":[137],"Stewart":[138],"Caldin,":[139],"Independent":[140],"Researcher,":[141],"UK.":[142],"Part":[143],"E8":[146],"Intelligence":[147],"Research":[148],"series.":[149],"Platform:":[150],"e8intelligence.com":[151]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-08-27T00:00:00"}