Synthetic dataset for research and modeling. No real customer-level data included. Synthetic time-series linking gold price movements to pawn loan volume and average ticket size. King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester. Scenario: high_gold_price_cycle During periods of rising gold prices, jewelry-related loan values and metal-linked activity rise without making overall demand cartoonish. Synthetic daily gold-linked lending data tracks how price movement, jewelry exposure, loan volume, and repayment behavior move together over time. This build contains 833 rows under the high gold price cycle scenario. Version: 2026-04-05 Canonical hash: 3a2c5110046b1adfe91bed462790a7ff2d95040e230b944263814af29f3e06d5 Row count: 833 Realism score: 1.0 Key Observations Gold prices keep a directional time-series trend instead of flat noise, with a time correlation of 0.98. Average jewelry loan amounts move with gold prices, with a modeled correlation of 0.93. This build contributes 833 daily observations so macro shifts can be studied without losing regional variation. Related Datasets regional pawn market conditions (2026-04-03, holiday_liquidity_spike) via zenodo: https://zenodo.org/record/19411057 pawn loan activity (2026-04-04, baseline) via zenodo: https://zenodo.org/record/19411864 Full dataset index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/README.md Kaggle dataset mirror: https://www.kaggle.com/datasets/genefur/kgp-synthetic-gold-price-vs-pawn-activity GitHub research index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/gold_price_vs_pawn_activity/2026-04-05/README.md

Synthetic dataset for research and modeling. No real customer-level data included.