How far back does Basic Attention Token vs US Dollar data go?

Basic Attention Token vs US Dollar history runs from 2019-08-05 — roughly 7 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 Basic Attention Token vs US Dollar download?

The complete Basic Attention Token vs US Dollar 1-minute history is roughly 3.7M rows, about 184 MB as CSV. Daily candles over the same instrument are far smaller — around 2,600 rows, 128 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 Basic Attention Token vs US Dollar 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 Basic Attention Token vs US Dollar data?

No — we sell software. The MarketData Hub client retrieves Basic Attention Token vs US Dollar (BATUSD) 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.

Basic Attention Token vs US Dollar Historical Data Downloader

Name: MarketData Hub — Basic Attention Token vs US Dollar historical data downloader
Price: 5.60 EUR
Availability: InStock
Author: MarketData Hub

A desktop app that downloads Basic Attention Token vs US Dollar (BATUSD) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2019-08-05 — around 7 years — at every timeframe from raw ticks to monthly candles. A complete Basic Attention Token vs US Dollar 1-minute series is roughly 3.7M rows, about 184 MB as CSV.

Preview a Basic Attention Token vs US Dollar download →

Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app

What the app fetches for Basic Attention Token vs US Dollar

Symbol	BATUSD
Instrument	Basic Attention Token vs US Dollar
Asset class	Crypto
History available from	2019-08-05
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	2019-08-05 → 2026-08-01 (last completed trading day)
Retrieval	Local — your machine connects directly to Dukascopy Bank SA
Runs on	Windows, macOS, Linux

Basic Attention Token vs US Dollar timeframes the app supports

Tick (every quote)
1 second
1 minute
5 minutes
15 minutes
30 minutes
1 hour
4 hours
Daily
Monthly

Basic Attention Token vs US Dollar coverage & file size, timeframe by timeframe

Every Basic Attention Token vs US Dollar timeframe shares the same 2019-08-05 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)	2019-08-05	very large	—
1 second	2019-08-05	very large	—
1 minute	2019-08-05	~3.7M	~184 MB
5 minutes	2019-08-05	~735K	~37 MB
15 minutes	2019-08-05	~245K	~12 MB
30 minutes	2019-08-05	~122K	~6 MB
1 hour	2019-08-05	~61,200	~3 MB
4 hours	2019-08-05	~15,300	~766 KB
Daily	2019-08-05	~2,600	~128 KB
Monthly	2019-08-05	~80	~4 KB

Counts are approximate, derived from crypto 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.

Working with the Basic Attention Token vs US Dollar series

BAT is a single-application token — its demand case is the Brave browser's advertising economy — making it a concentrated bet in a way diversified-platform tokens are not: the token's fortunes track one product's adoption curve. The series starts August 2019. Utility tokens with one sponsor also carry key-person and roadmap risk that shows up as headline-driven repricing.

What's inside the Basic Attention Token vs US Dollar 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 Basic Attention Token vs US Dollar

Basic Attention Token vs US Dollar (BATUSD) is a cryptocurrency with 7 years of retrievable history. It is commonly used for backtesting crypto trading bots, volatility and drawdown analysis, on-chain/price correlation studies and training machine-learning models. Pick any date range from 2019-08-05 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 Basic Attention Token vs US Dollar data go?: Basic Attention Token vs US Dollar history runs from 2019-08-05 — roughly 7 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 Basic Attention Token vs US Dollar download?: The complete Basic Attention Token vs US Dollar 1-minute history is roughly 3.7M rows, about 184 MB as CSV. Daily candles over the same instrument are far smaller — around 2,600 rows, 128 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 Basic Attention Token vs US Dollar 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 Basic Attention Token vs US Dollar data?: No — we sell software. The MarketData Hub client retrieves Basic Attention Token vs US Dollar (BATUSD) 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.