{"schema":"elixr.dataset.v1","lot":"EX-001","lotLabel":"Lot 001","slug":"trading-operations-corpus","url":"https://elixrdata.com/datasets/trading-operations-corpus","jsonUrl":"https://elixrdata.com/datasets/trading-operations-corpus.json","title":"Trading operations corpus","type":"Full operational corpus","sizeBytes":10800000000000,"size":"10.8 TB","sizeNote":null,"systems":11,"period":{"start":2022,"end":2026},"classes":[{"label":"Generated alpha signals","sizeBytes":1600000000000,"size":"1.6 TB"},{"label":"Other proprietary signals and research","sizeBytes":5400000000000,"size":"5.4 TB"},{"label":"Strategy and cloud application logs","sizeBytes":3100000000000,"size":"3.1 TB"},{"label":"Warehouse, op DBs, streaming, 59 repos, 249k Slack messages, Notion, Linear, Figma","sizeBytes":700000000000,"size":"700 GB"}],"classesToScale":true,"sample":"Full buyer package with measured per-source sizing available","state":"SOLD","provenance":"Sold under an exclusive licence","available":false,"listedAt":null,"summary":"Four years across 11 integrated systems. A single strategy appears as a research note, a design doc, tickets, pull requests, Slack discussion, and the signals it produced. That cross-system linkage is why this is priced as a corpus rather than per source.","derivedNote":"The 5.4 TB and 0.7 TB figures are derived by subtraction from the supplied numbers (7 TB signals and research of which 1.6 TB alpha; 3.1 TB logs; 10.8 TB total). The derivation assumes those figures do not overlap and share an uncompressed basis."}