{
  "annotation_id": "40f9dbb0-9b42-4d41-a280-ffda8d0eb017",
  "date_created": "2026-03-02T18:00:59.992000Z",
  "date_modified": "2026-03-02T18:00:59.992000Z",
  "file_hash": "5831a4ace842af42c04732ba1390f2d66a7adbe7b75a80456849721c498ee585",
  "private": false,
  "record": {
    "abstract": "An original method, assuming potential and kinetic energy for prices and\nconservation of their sum is developed for forecasting exchanges. Connections\nwith power law are shown. Semiempirical applications on S\u0026P500, DJIA, and\nNASDAQ predict a coming recession in them. An emerging market, Istanbul Stock\nExchange index ISE-100 is found involving a potential to continue to rise.",
    "arxiv_id": "physics/0506098",
    "authors": [
      "Caglar Tuncay"
    ],
    "categories": [
      "physics.soc-ph",
      "q-fin.ST"
    ],
    "doi": "10.1007/s11534-005-0006-6",
    "title": "Stock mechanics: predicting recession in S\u0026P500, DJIA, and NASDAQ",
    "url": "https://arxiv.org/abs/physics/0506098"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0faa0110-66df-454c-a19d-6b440a90890e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}