[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-81864-en":3,"doc-seo-81864-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},81864,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","Open Bitcoin Metrics Verifiable Full-Node-Derived Bitcoin Time Series for Economic Research","Bitcoin research increasingly relies on on-chain indicators to study network activity, monetary issuance, transaction demand, miner incentives, coin-age behavior, and long-run monetary dynamics. Many widely used Bitcoin metrics are scattered across commercial platforms, rely on heterogeneous definitions, or cannot be fully reproduced from primary blockchain data. This manuscript presents Open Bitcoin Metrics (OBM): a reproducible, full-node-derived dataset and reference guide for Bitcoin on-chain daily time series. OBM includes documented series, stable identifiers, open-source Python code, validation procedures, caveats, and comparisons for transparent economic and econometric research.","arXiv :2607 .03 124v 1 [ cs .CE] 3 Jul 2026  \nOpen Bitcoin Metrics: Verifiable Full-Node-Derived Bitcoin Time  \nSeries for Economic Research  \nDiego R. Llanos 1,*  \n1 Department of Computer Science, University of Valladolid, Spain  \n* Corresponding author: diego.llanos@uva.es  \nAbstract  \nBitcoin research increasingly relies on on-chain indicators to study network activity, monetary issuance, transaction demand, miner incentives, coin-age behavior, and long-run monetary dynamics. However, many commonly used Bitcoin metrics are dispersed across commercial platforms, subject to heterogeneous definitions, or not fully reproducible from primary blockchain data. This manuscript introduces Open Bitcoin Metrics (OBM), a reproducible, full-node-derived dataset and reference guide for Bitcoin on-chain time series designed for economic and econometric research. The dataset provides documented daily series covering block production, block-space usage, transaction counts, supply, issuance, fees, miner revenue, mining difficulty, estimated hashrate, Bitcoin Days Destroyed, dormancy, liveliness, UTXO counts, spent output value, and related UTXO-age indicators. Metrics are reconstructed from a locally maintained Bitcoin Core full node, a persistent spent-output indexer, or deterministic transformations of previously generated OBM series. Each series is accompanied by open-source Python code, stable identifiers, explicit definitions, metadata, validation procedures, interpretive caveats, and comparisons with the closest publicly available metrics. The dataset is intended to support transparent empirical research, replication, teaching, and comparative analysis across monetary economics, financial economics, and blockchain studies.  \nThe dataset, related software and documentation can be found at [https://github.com/](https://github.com/)[ ](https://github.com/)[diegorllanos/open-bitcoin-metrics](diegorllanos/open-bitcoin-metrics.)[.](diegorllanos/open-bitcoin-metrics.)  \nKeywords: Bitcoin; on-chain data; time series; Bitcoin full node; reproducibility; econometrics; open data.  \nContents  \n1 Introduction 4  \n2 Related Work 5  \n3 Methods 8  \n3. 1 Overview of the Data Generation Pipeline   8  \n3.2 Bitcoin Node Configuration .............................. 9  \n3.3 Time Convention and Aggregation .......................... 9  \n3.4 The Spent-Output Indexer   10  \n3.5 Metric Exporters and Derived Scripts   12  \n3.6 Variable Naming Convention ............................. 12  \n4 Description of OBM available metrics 13  \n4.1 obm_block_count_daily: Daily Block Count .................... 13  \n4.2 obm_block_weight_wu_daily: Daily Block Weight in Weight Units ....... 14  \n4.3 obm_cdd_age_band_btcxdays_daily: Daily Bitcoin Days Destroyed by Age Band 14  \n4.4 obm_cdd_btcxdays_daily: Bitcoin Days Destroyed ................. 15  \n4.5 obm_cdd_per_supply_days_daily: Bitcoin Days Destroyed per Unit of Supply . 15  \n4.6 obm_difficulty_eod_daily: End-of-Day Bitcoin Mining Difficulty ........ 16  \n4.7 obm_dormancy_days_daily: Daily Dormancy .................... 17  \n4.8 obm_est7d_hashrate_ehs_daily: Estimated 7-Day Network Hashrate in EH/s . 17  \n4.9 obm_fee_share_revenue_ratio_daily: Fees as Share of Miner Revenue ..... 18  \n4.10 obm_fees_btc_daily: Daily Transaction Fees .................... 18  \n4.11 obm_issuance_btc_daily: Daily Bitcoin Issuance ................. 19  \n4.12 obm_liveliness_ratio_daily: Daily Liveliness Ratio ............... 20  \n4.13 obm_miner_revenue_btc_daily: Daily Miner Revenue in BTC .......... 20  \n4.14 obm_raw_output_value_btc_daily: Daily Raw Output Value in BTC ...... 21  \n4.15 obm_spent_output_count_daily: Daily Spent Output Count ........... 21  \n4.16 obm_spent_value_age_band_btc_daily: Daily Spent Output Value by Age Band in BTC ......................................... 22  \n4.17 obm_spent_value_btc_daily: Daily Spent Output Value in BTC ........ 23  \n4.18 obm_spent_value_ge155d_btc_daily: Spent Output Value Whose Age Is at Least 155 ","cbCail2gZTHDyMti","https://ap.wps.com/l/cbCail2gZTHDyMti","pdf",1359150,1,200,"English","en",105,"# Introduction\n# Related Work\n# Methods\n## Overview of the Data Generation Pipeline\n## Bitcoin Node Configuration\n## Time Convention and Aggregation\n## The Spent-Output Indexer\n## Metric Exporters and Derived Scripts\n## Variable Naming Convention\n# Description of OBM Available Metrics\n# Data Records\n# Usage Notes\n# Code and Data Availability\n# Limitations\n# Acknowledgements","[{\"question\":\"What problem does Open Bitcoin Metrics (OBM) address in Bitcoin research?\",\"answer\":\"OBM addresses the lack of full reproducibility of many common Bitcoin metrics, which are often dispersed across platforms, use inconsistent definitions, or cannot be derived directly from primary blockchain data.\"},{\"question\":\"How are OBM metrics generated in the dataset?\",\"answer\":\"Metrics are reconstructed from a locally maintained Bitcoin Core full node, from a persistent spent-output indexer, or via deterministic transformations of previously generated OBM series.\"},{\"question\":\"What does OBM provide to support verification and replication?\",\"answer\":\"Each series includes documented definitions, metadata, stable identifiers, open-source Python code, validation procedures, interpretive caveats, and comparisons with closely available public 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problem does Open Bitcoin Metrics (OBM) address in Bitcoin research?","Question",{"text":74,"@type":75},"OBM addresses the lack of full reproducibility of many common Bitcoin metrics, which are often dispersed across platforms, use inconsistent definitions, or cannot be derived directly from primary blockchain data.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"How are OBM metrics generated in the dataset?",{"text":79,"@type":75},"Metrics are reconstructed from a locally maintained Bitcoin Core full node, from a persistent spent-output indexer, or via deterministic transformations of previously generated OBM series.",{"name":81,"@type":72,"acceptedAnswer":82},"What does OBM provide to support verification and replication?",{"text":83,"@type":75},"Each series includes documented definitions, metadata, stable identifiers, open-source Python code, validation procedures, interpretive caveats, and comparisons with closely available public 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