Top Finance — Top Grossing apps in Netherlands 🇳🇱
As of June 12, 2026, TradingView: Track All Markets is the #1 Finance — Top Grossing app in Netherlands on iOS.
#App / PublisherCategoryIntel
- 1

- 2
Finanzas - 33

- 41

- 58

- 61

- 71

- 84

- 9

- 1021
Finanzas - 114

- 128

- 131—
- 144

- 158
Financiën - 16
Finanzas - 171
Financiën - 1828

- 198

- 203
Financiën - 211

- 228

- 234

- 24NEW

- 2510

- 2649
Finanzen - 2757

- 28NEW

- 29NEW
Finans - 30NEW
Financiën - 3117
Financiën - 3211

- 3332—
- 349

- 352

- 3613
Financiën - 3713

- 3813
Financiën - 3916

- 401

- 4117
Finanza - 4240

- 4311
Finanzen - 4418

- 4518

- 4618

- 4718

- 48NEW

- 4919
Finanzas - 50NEW
Finanzas
What changed
Movement between the previous day and June 12, 2026.
New entrants


Portfolyo#29


Risers
Bitcoin Mining: Crypto Miner#84 → #27
Accountable für Selbstständige#75 → #26
Asistente de trading Chart AI#95 → #52
SuperTrader: Trading Journal#82 → #42
- My Car - Car Management
#65 → #33
Fallers
Debit & Credit#36 → #60
Stock Analysis: Stocks & Funds#50 → #74
Hammer Elite#51 → #75
TipRanks Stock Market Analysis#38 → #61
MunYun - Stock Trading Lessons#39 → #62
Methodology
Rankings are pulled daily from the iOS store charts for Netherlands. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Finance — Top Grossing app in Netherlands on iOS?
As of June 12, 2026, TradingView: Track All Markets is the #1 Finance — Top Grossing app in Netherlands on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Netherlands every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public iOS store charts for Netherlands. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.