Market Cap
$ 1.07T
24h Spot Volume
$ 45.74B
BTC Dominance
Basic Attention Token [BAT]
Rank: 69
Tokens: Ethereum
USD 0.272
BTC 7.33e-6
ETH 0.000217

A blockchain-based digital advertising platform

Market Cap

$ 403,158,204
Ƀ 10,857
ATH: $ 1,409,911,677 

24h Trade Volume

$ 142,372,263
Ƀ 3,834
BAT 522,756,214


BAT 1,480,298,565(98.69%)
BAT 1,500,000,000

All-Time-High (ATH) Price

$ 0.952 (09 Jan 2018)
Ƀ 0.0000927 (21 Apr 2019)
Ξ 0.00288 (21 Apr 2019)
From ATH: -71.4%

Basic Attention Token (BAT) is a cryptocurrency token generated on the Ethereum blockchain.

The total supply of Basic Attention Token that will ever be issued is 1.50 Billion tokens, and the current supply of BAT in circulation is 1.48 Billion tokens.

Current Basic Attention Token price is $ 0.272 moved up to +13.1% for the last 24 hours.

All time high (ATH) price of Basic Attention Token reached $ 0.952 on 9 Jan 2018 and fallen -71.4% from it.

Basic Attention Token's share of the entire cryptocurrency market is 0.04% with the market capitalization of $ 403.16 Millions.

Basic Attention Token’s 24 trading volume is $ 142.37 Millions. It is trading on 93 markets and 45 Exchanges the most active of them is Upbit.

Find more details about Basic Attention Token cryptocurrency at the official website and on the block explorer.

Basic Attention Token Price Chart

Basic Attention Token price Index provides the latest BAT price in US Dollars , BTC and ETH using an average from the world's leading crypto exchanges.

The Basic Attention Token to USD chart is designed for users to instantly see the changes that occur on the market and predicts what will come next.

Basic Attention Token Performance USD

PeriodChangeChange (%)HighLow
24H$ 0.0315+13.1%$ 0.284$ 0.239
7D$ 0.000315+0.12%$ 0.295$ 0.203
1M$ 0.038+16.2%$ 0.295$ 0.184
3M$ 0.0577+26.9%$ 0.295$ 0.176
6M$ 0.00334+1.24%$ 0.441$ 0.176
YTD$ 0.0714+35.5%$ 0.295$ 0.199
1Y$ 0.0442+19.4%$ 0.441$ 0.0883
3Y-$ 0.316-53.7%$ 0.677$ 0.0883

What is Basic Attention Token

Attention is measured as users view ads and content in the browser’s active tab in real time. The Attention Value for the ad will be calculated based on incremental duration and pixels in view in proportion to relevant content, prior to any direct engagement with the ad. We will define further anonymous cost-per-action models as the system develops.

Ads are then anonymously matched with customer interests using local machine learning algorithms. This means less irrelevant ads.

Brave will work with publishers and advertisers to establish best practices for judging user attention. One potential metric: the number of total views of advertising content for a certain number of seconds. Or, points assigned on the length of a view.