{"$schema":"https://ipulseai.com/schemas/open-forecast-receipt/v0.1.0/schema.json","specVersion":"0.1.0","profiles":["ofr-core-v0.1.0","ofr-market-v0.1.0","ofr-ai-v0.1.0"],"receiptPayload":{"receipt":{"receiptId":"https://ipulseai.com/receipts/sha256/bb16c3fc8e1f2898919256502e66b58584c3e8c93103a17f64e951b41af81287","status":"example","issuanceMode":"retrospective","revisionNumber":1,"revisionType":"original","issuedAt":"2026-09-27T09:35:30Z","sealedAt":"2026-09-27T09:35:30Z"},"issuer":{"id":"https://ipulseai.com","name":"iPulse AI"},"forecast":{"forecastId":"predrqst_batch_task__xrefsubjtskconf_e2562ad8-21f7-50f1-a0d6-9bc6556ccd54__sb7__20260920053028116336","run":{"runId":"forex_1167a44f-4357-5097-8020-e497a9853e58__sb7__r1","runNumber":7,"revision":1},"entity":{"type":"FinancialInstrument","id":"forex_1167a44f-4357-5097-8020-e497a9853e58","name":"Euro / US Dollar","identifiers":{"ticker":"EURUSD","ipulseSymbol":"EURUSD.FOREX","subjectCategory":"forex","subjectCategoryDetailed":"currency_pair"}},"target":{"name":"eod_close_price_step_over_step_percentage_change","kind":"numeric_time_series","quantity":"return","unit":"basis_point","transformation":"step_over_step_percentage_change","baseQuantity":"eod_close_price","baseUnit":"USD","observationDefinition":"The target observable is the end-of-day close price. Each prediction point is the percentage change from the preceding anchored or forecast point, and the price path is reconstructed by compounding the ordered changes."},"temporal":{"forecastCreatedAt":"2026-09-20T06:04:31.952019Z","anchorAt":"2026-09-18T00:00:00Z","horizonEndAt":"2031-09-18T00:00:00Z","evaluationEligibleAt":"2031-09-18T23:59:59Z","maturityRule":"Evaluate only after the final forecast horizon has closed and the corresponding end-of-day close observation is available under the stated adjustment policy.","cadence":{"unit":"month","value":3,"count":20}},"anchor":{"valueDecimal":"1.15","valueScaled":1150000,"scale":6,"unit":"USD","observedAt":"2026-09-18T00:00:00Z","source":"iPulse AI production market-data pipeline","timezone":"UTC","marketSession":"regular_close","adjustmentBasis":"source publication value"},"prediction":{"representation":"ordered_regular_step_path","valueType":"step_over_step_percentage_change","unit":"basis_point","points":[{"step":1,"validAt":"2026-12-18T00:00:00Z","value":-100},{"step":2,"validAt":"2027-03-18T00:00:00Z","value":-100},{"step":3,"validAt":"2027-06-18T00:00:00Z","value":100},{"step":4,"validAt":"2027-09-18T00:00:00Z","value":-100},{"step":5,"validAt":"2027-12-18T00:00:00Z","value":-100},{"step":6,"validAt":"2028-03-18T00:00:00Z","value":-100},{"step":7,"validAt":"2028-06-18T00:00:00Z","value":100},{"step":8,"validAt":"2028-09-18T00:00:00Z","value":0},{"step":9,"validAt":"2028-12-18T00:00:00Z","value":-100},{"step":10,"validAt":"2029-03-18T00:00:00Z","value":-100},{"step":11,"validAt":"2029-06-18T00:00:00Z","value":100},{"step":12,"validAt":"2029-09-18T00:00:00Z","value":-100},{"step":13,"validAt":"2029-12-18T00:00:00Z","value":-100},{"step":14,"validAt":"2030-03-18T00:00:00Z","value":0},{"step":15,"validAt":"2030-06-18T00:00:00Z","value":100},{"step":16,"validAt":"2030-09-18T00:00:00Z","value":0},{"step":17,"validAt":"2030-12-18T00:00:00Z","value":-100},{"step":18,"validAt":"2031-03-18T00:00:00Z","value":-100},{"step":19,"validAt":"2031-06-18T00:00:00Z","value":100},{"step":20,"validAt":"2031-09-18T00:00:00Z","value":0}]},"classification":{"scheme":"ipulse-investment-rating-v1","value":"partially_sell"},"forecaster":{"type":"AIAdvisor","id":"aianalyst_39772645-d494-5899-a55c-5aaa07071c09","name":"Superintelligence","role":"The Anthropologist","mode":"THINKER","model":{"provider":"Google","organization":"Google DeepMind","name":"Gemini 3.8 Flash","apiIdentifier":"gemini-3.8-flash","specId":"aimodelspec_49abc38d-0fa9-5194-a037-602322684484","versionId":"aimodelversion_639386cf-55c7-55c3-9d13-19735fdc3fb1","versionName":"20260902_ga_release","releaseDate":"2026-09-02T00:00:00Z"}},"methodology":{"taskType":"generate_investment_thesis_and_timeseries_eod_close_price_pct_change","humanReviewStatus":"not_recorded"},"conditions":[]},"provenance":{"sourceSystem":"iPulse AI","sourcePublication":{"id":"forex_1167a44f-4357-5097-8020-e497a9853e58__sb7__r1","revision":1,"digestSha256":"e47c27c12aae468b996ad63128b2b7d0e3e959c3cffe8b1913a495b803a6aaa3","generatedAt":"2026-09-20T18:33:14.805158Z","publishedAt":"2026-09-21T07:02:35Z"},"sourceForecastDigest":"61899f31f4f04f30246488300914220d829d57bbcf65f31e71dbae362b0d0a7c","mapping":{"adapter":"ipulse-to-ofr-market-ai","version":"0.1.0","sourceSchema":"batch_prediction_publication_v1 / output schema 10","sourceTargetName":"eod_close_price_pct_change","sourceValueField":"predictions[*].timeseries_numerical[*].predicted_step_over_step_change_percent","sourceValueUnit":"percent","outputValueEncoding":"basis_points = source_percent * 100; one basis point is 0.01 percentage point","sourceForecastDigestScope":"SHA-256 over RFC 8785 canonical JSON for the logically unwrapped individual predictions[*] object, preserving array order","receiptIdDerivation":"SHA-256 over UTF-8 forecastId + LF + sourcePublication.id + LF + specVersion; rendered under https://ipulseai.com/receipts/sha256/"},"temporal":{"baseModelKnowledge":{"cutoffAt":"2026-03-01T00:00:00Z","precision":"day","status":"declared","source":{"type":"producer_model_registry","recordId":"aimodelversion_639386cf-55c7-55c3-9d13-19735fdc3fb1","metadataVersion":2,"declaredBy":"iPulse AI model registry"}},"suppliedContext":{"snapshotId":"predctx__forex_1167a44f-4357-5097-8020-e497a9853e58__sb7__50af22490feb9375f9b4","digestSha256":"50af22490feb9375f9b444a6f304aabd8d7a0292d788489bacbf91f429f6584f","effectiveAt":"2026-09-20T05:30:28.116336Z","recordedAt":"2026-09-20T05:48:08.246941Z","captureStatus":"captured_at_generation","components":[]},"marketState":{"observedAt":"2026-09-18T00:00:00Z","source":"iPulse AI production market-data pipeline","timezone":"UTC","marketSession":"regular_close","tradingDate":"2026-09-18","currency":"USD","adjustmentBasis":"source publication value"},"generation":{"requestSubmittedAt":"2026-09-20T05:58:56.573264Z","responseGeneratedAt":"2026-09-20T06:04:31.952019Z"},"acquiredEvidence":{"webSearch":{"configured":false,"executionStatus":"not_executed","evidenceManifestStatus":"not_captured"}},"releasedAt":"2026-09-21T07:02:35Z","evaluationEligibleAt":"2031-09-18T23:59:59Z"},"generationConfiguration":{"taskType":"generate_investment_thesis_and_timeseries_eod_close_price_pct_change","taskConfigId":"taskconfig_7e29ba6b-5600-5479-b6c6-5eeb88b75c61","promptAssemblyId":"taskconfig_7e29ba6b-5600-5479-b6c6-5eeb88b75c61_assembly","promptAssemblyVariantHash":"2e875d185a1a884f34e59f59557d485f415215e65f9d320bc0d533342b3f1f60","analyticalFrameworks":[{"id":"superintelligence","version":"2.9"}],"outputSchemaId":"schema_a9cf13a3-3554-5387-b99e-db10fda256e7","outputSchemaVersion":10,"pipelineVersion":6,"humanReviewStatus":"not_recorded"},"evidence":[]},"disclosure":{"visibility":"public","license":"MIT","disclaimer":"This is a forecast record, not investment advice and not proof of forecast accuracy.","limitations":["The receipt proves payload integrity and, after attestation, publication timing; it does not prove correctness.","This is a retrospective receipt created after the original forecast publication; a later blockchain timestamp must not be presented as the forecast creation time.","The input-context snapshot was reconstructed as a historical backfill and is labeled accordingly.","Web search was not configured for this run, so no search execution is claimed.","Prediction values are integer basis points: -400 means -4.00 percent, not -0.40 percent.","Named forecasters are software advisor personas used by iPulse AI; the receipt does not claim endorsement by or affiliation with the named person."]},"extensions":{"ipulse":{"publicShowcaseAsset":false,"consensusExcluded":true,"individualForecastEntity":true}}},"proofEnvelope":{"canonicalization":"RFC8785","hashAlgorithm":"SHA-256","digestScope":"receiptPayload","payloadDigestSha256":"bfedb98d6da9053ba011c7ea2e64ec739dedba3b2e64a81a10dbfc86ab948875","proofs":[]}}