Spot trading, order flow, fee revenue, and wallets for a crypto exchange
Industry
Crypto Exchange (centralized spot trading venue)
Company size
Fictional scale-up exchange with about 120,000 onboarded traders, 90 listed digital assets, 160 spot trading pairs, 8 funding methods, and a 40-country footprint.
Packaged scale
About 6.55 million rows across 13 Professional-tier tables, including 1,524,339 executed trades, 1.96 million orders, 500,000 deposit and withdrawal movements, 919,512 trader-month activity snapshots, 1,213,464 wallet-balance snapshots covering every custody-holding account in every month of the window, 65,700 asset-day market rows covering every listed asset on every day of the window, and 250,000 KYC events.
Active trading base
Of the 120,000 onboarded accounts, 38,313 sit in the open core-active and regular trading segments that actually place order flow, and 37,830 of them traded during the window. The trading base is fixed when the window opens: every account was onboarded before 2024-07-01, so this package models how an established book deepens rather than how a venue acquires new traders. Trading intensity is drawn independently of account tier and home country, so every region and every tier contains core-active desks.
Custody base
50,561 accounts hold custody and move money, covering every trading account plus a minority of accounts that only fund and never trade. The wallet snapshot is a complete census of those accounts in all 24 months, so cumulative net funding reconciles exactly against the deposit and withdrawal fact for every trader. The remaining 69,439 onboarded accounts hold no custody and generate no funding rows.
Commercial range
The two-year synthetic trading facts model roughly $40M to $58M in trading-fee revenue, earned as a small fee on every executed trade as average trade size deepens across the window.
Planning note
The packaged data helps BI buyers analyze fee revenue, trade volume, order fill quality, funding flows, wallet concentration, asset-market activity, and KYC throughput.
Operating footprint
A global fictional retail-and-pro trading base spread evenly across eight reporting regions and forty fictional countries. Every trader's region is read from that trader's own country, so geography reconciles between the trader dimension and the country dimension. Mature markets carry slightly more Pro and VIP desks, so regional fee revenue differs for a stated business reason.
Customer mix
Basic, Plus, Pro, and VIP account tiers spanning casual retail traders through high-frequency professional desks, all represented with fictional handles and screenshot-safe labels.
Pendravo Exchange is a fictional scale-up centralized digital-asset trading exchange used for synthetic BI analysis. The company story is built around spot trading, the order book, trader wallets, asset listings, deposits and withdrawals, trading-fee economics, and KYC review. Every asset symbol, asset name, country, and trader in the package is invented; nothing maps to a real exchange, coin, token, person, or place.
These are the operating questions this kit is optimized to answer first.
Fee revenue grows because the average trade gets larger while the active trader base stays flat.
Higher tiers pay lower rates but trade far larger notional, so a small share of desks drives most fee revenue.
Every fill carries its order id, so 1.96 million orders reconcile to 1,524,339 trades at 77.8% conversion overall.
The monthly snapshot keeps the quiet account-months, so churn and re-engagement are visible rather than dropped.
Published asset-day volume is the roll-up of that day's fills, and only the 150 live books carry any flow.
Cumulative net funding ties out exactly against the funding fact, and the top 1% holds about 25% of custody.