{"id":"https://openalex.org/W7204208353","doi":"https://doi.org/10.5281/zenodo.22090677","title":"LAB #1651 NEUTRAL: TG AUTO: New edge proposed: opening_range_breakout_fade_with_session_volume_profile \u2014 E8 Intelligence Research","display_name":"LAB #1651 NEUTRAL: TG AUTO: New edge proposed: opening_range_breakout_fade_with_session_volume_profile \u2014 E8 Intelligence Research","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204208353","doi":"https://doi.org/10.5281/zenodo.22090677"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22090677","doi":"https://doi.org/10.5281/zenodo.22090677","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22090677","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.22090677","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":0.98580002784729,"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":0.98580002784729,"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":0.011300000362098217,"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/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/opening-range-breakout","display_name":"opening range breakout","score":0.9240000247955322},{"id":"https://openalex.org/keywords/volume-profile","display_name":"volume profile","score":0.921999990940094},{"id":"https://openalex.org/keywords/market-microstructure","display_name":"market microstructure","score":0.7860000133514404},{"id":"https://openalex.org/keywords/trading-edge","display_name":"trading edge","score":0.43799999356269836},{"id":"https://openalex.org/keywords/xauusd","display_name":"XAUUSD","score":0.7239999771118164},{"id":"https://openalex.org/keywords/gold-trade","display_name":"gold trading","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6509000062942505},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.5602999925613403},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.37459999322891235},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3587999939918518},{"id":"https://openalex.org/C2779570065","wikidata":"https://www.wikidata.org/wiki/Q1754137","display_name":"Leading edge","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35530000925064087},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31119999289512634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.301800012588501},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C87976508","wikidata":"https://www.wikidata.org/wiki/Q1498213","display_name":"Microstructure","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2671000063419342},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22090677","doi":"https://doi.org/10.5281/zenodo.22090677","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22090677","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.22090678","doi":"https://doi.org/10.5281/zenodo.22090678","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22090678","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.22090677","doi":"https://doi.org/10.5281/zenodo.22090677","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22090677","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":[],"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":[2,14,33],"the":[3,49,56,62,72,81,84,97,113,133,149],"Telegram/breakthrough":[4],"stream":[5],"(#705007,":[6],"division=research,":[7],"agent=gtx_scout):":[8],"{":[9],"\"name\":":[10],"\"opening_range_breakout_fade_with_session_volume_profile\",":[11],"\"source\":":[12],"\"Derived":[13],"market":[15],"microstructure":[16],"literature":[17],"on":[18,122],"opening":[19],"range":[20],"volatility":[21],"and":[22,40,71],"volume":[23,65,75,92],"profile":[24],"imbalance":[25],"(e.g.,":[26],"'Volume":[27],"Profile'":[28],"by":[29,42,67,88],"Steidlmayer;":[30],"also":[31],"known":[32],"institutional":[34],"order":[35],"flow":[36],"concepts":[37],"in":[38],"'Trading":[39],"Exchanges'":[41],"Larry":[43],"Harris)\",":[44],"\"type\":":[45],"\"entry_engine\",":[46],"\"rule\":":[47],"\"In":[48],"first":[50],"30":[51],"minutes":[52],"(opening":[53],"range),":[54],"compute":[55],"price":[57,78,130],"zone":[58,87,136],"containing":[59],"50%":[60,85],"of":[61,83,148],"session's":[63],"sell":[64,86,135],"(initiated":[66],"trades":[68],"at":[69,127],"ask)":[70],"analogous":[73],"buy":[74],"zone;":[76],"if":[77],"spikes":[79],"beyond":[80],"extreme":[82,137],"0.25":[89],"ATR":[90],"with":[91,105,138],"less":[93],"than":[94],"20%":[95],"above":[96,107,132],"prior":[98],"30-bar":[99],"average,":[100],"then":[101],"enter":[102],"a":[103],"short":[104,126],"stop":[106],"that":[108],"extre":[109],"SAME-WINDOW":[110],"EFFECT:":[111],"Over":[112],"current":[114],"window,":[115],"this":[116],"edge":[117],"would":[118],"have":[119],"triggered":[120],"only":[121],"XAUUSD":[123],"(the":[124],"09:55":[125],"4066.35)":[128],"\u2014":[129],"spiked":[131],"opening-range":[134],"below-aver":[139],"Author:":[140],"Andrew":[141],"Stewart":[142],"Caldin,":[143],"Independent":[144],"Researcher,":[145],"UK.":[146],"Part":[147],"E8":[150],"Intelligence":[151],"Research":[152],"series.":[153],"Platform:":[154],"e8intelligence.com":[155]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-08-26T00:00:00"}
