Mastercard Inc Historical Data Downloader
A desktop app that downloads Mastercard Inc (MAUSUSD) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2017-05-11 — around 9 years — at every timeframe from raw ticks to monthly candles. A complete Mastercard Inc 1-minute series is roughly 907K rows, about 45 MB as CSV.
Preview a Mastercard Inc download →Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app
What the app fetches for Mastercard Inc
| Symbol | MAUSUSD |
|---|---|
| Instrument | Mastercard Inc |
| Asset class | US Stocks |
| History available from | 2017-05-11 |
| Timeframes | Tick → 1s → 1m → 5m → 15m → 30m → 1h → 4h → Daily → Monthly |
| Price types | Bid & Ask |
| File formats | CSV, JSON (MetaTrader, NinjaTrader, Parquet & SQLite/DuckDB from the Pro licence) |
| Coverage | 2017-05-11 → 2026-08-01 (last completed trading day) |
| Retrieval | Local — your machine connects directly to Dukascopy Bank SA |
| Runs on | Windows, macOS, Linux |
Mastercard Inc timeframes the app supports
- Tick (every quote)
- 1 second
- 1 minute
- 5 minutes
- 15 minutes
- 30 minutes
- 1 hour
- 4 hours
- Daily
- Monthly
Mastercard Inc coverage & file size, timeframe by timeframe
Every Mastercard Inc timeframe shares the same 2017-05-11 start date, but not the same scale — coarser candles stay small while tick and intraday files grow fast. Current through 2026-08-01:
| Timeframe | History from | Approx. rows | Approx. CSV |
|---|---|---|---|
| Tick (every quote) | 2017-05-11 | very large | — |
| 1 second | 2017-05-11 | very large | — |
| 1 minute | 2017-05-11 | ~907K | ~45 MB |
| 5 minutes | 2017-05-11 | ~181K | ~9 MB |
| 15 minutes | 2017-05-11 | ~60,400 | ~3 MB |
| 30 minutes | 2017-05-11 | ~30,200 | ~2 MB |
| 1 hour | 2017-05-11 | ~15,100 | ~756 KB |
| 4 hours | 2017-05-11 | ~3,800 | ~189 KB |
| Daily | 2017-05-11 | ~2,300 | ~116 KB |
| Monthly | 2017-05-11 | ~110 | ~6 KB |
Counts are approximate, derived from stock session hours across the available history. Tick and 1-second runs are queued and resumable rather than fetched in one pass. See the data methodology for how candles are built.
What's inside the Mastercard Inc file
timestamp,open,high,low,close
One row per candle; tick files instead carry timestamp,bid,ask on every quote. All timestamps are UTC. Worked examples and import steps are in the CSV & JSON format guide.
About Mastercard Inc
Mastercard Inc (MAUSUSD) is a single-stock CFD with 9 years of retrievable history. It is commonly used for equity backtesting, factor and event studies, charting intraday and end-of-day price action, and training trading models on real OHLC history. Pick any date range from 2017-05-11 onward, choose a timeframe and the bid or ask side, and the app fetches and writes the files locally — no scripting.
Frequently asked questions
- How far back does Mastercard Inc data go?
- Mastercard Inc history runs from 2017-05-11 — roughly 9 years — up to the last completed trading day, at every timeframe from raw ticks to monthly candles. Every licence tier reaches all of it.
- How large is a full Mastercard Inc download?
- The complete Mastercard Inc 1-minute history is roughly 907K rows, about 45 MB as CSV. Daily candles over the same instrument are far smaller — around 2,300 rows, 116 KB. Tick and 1-second runs are larger again and are queued and resumable rather than fetched in one pass. Sizes are approximate; nothing is priced by volume.
- What columns are in the Mastercard Inc CSV file?
- OHLC files contain a timestamp plus open, high, low and close columns; tick files contain a timestamp with bid and ask prices. All timestamps are UTC. The files import directly into Excel, Google Sheets, Python (pandas read_csv), R, MetaTrader, NinjaTrader and TradingView.
- Do you sell Mastercard Inc data?
- No — we sell software. The MarketData Hub client retrieves Mastercard Inc (MAUSUSD) on your own machine, under your instruction, directly from the source; we never host, cache or relay it. Your use of the retrieved data is subject to the source's terms.
Guides
- Get the app — Windows, macOS, Linux
- How to download historical stock data
- CSV & JSON format — columns explained
- Tick data vs OHLC candles
- Backtesting with historical data