Wrapped TAO WTAO
Peringkat #7874
20:55:03 12/11/2026
Harga Wrapped TAO (WTAO)
Rp 3.750.320 -7,15%
0,002838 BTC
≈ US$205,54
Terendah 24j: Rp 3.750.320
Tertinggi 24j: Rp 4.095.742
| Kapitalisasi pasar | Rp 444,8 Miliar | Volume 24j | Rp 17,87 Miliar | Suplai beredar | 118.596 WTAO |
| Perubahan 1j | -2,21% | Perubahan 24j | -7,15% | Perubahan 7h | -11,05% |
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Konversi WTAO ke Rupiah (IDR) dan USD
Info Wrapped TAO (WTAO)
| Status | Aktif |
| Situs web | |
| Block Explorer | https://etherscan.io/token/0x77e06c9eccf2e797fd462a92b6d7642ef85b0a44 |
| Chat | |
| X (Twitter) | |
| Platform | |
| Tanggal ditambahkan | 03:20:38 16/02/2023 |
| Tag | DeFi, Ethereum Ecosystem, Rehypothecated Crypto |
Statistik Wrapped TAO (WTAO)
| Harga Wrapped TAO (WTAO) hari ini | |
|---|---|
| Harga Wrapped TAO (WTAO) | Rp 3.750.320 |
| Perubahan 1 jam | -2.21% |
| Perubahan 24 jam | -7,15% |
| Perubahan 7 hari | -11,05% |
| Terendah / Tertinggi (24j) | Rp 4.002.057 / Rp 4.219.013 |
| Volume perdagangan 24 jam | Rp 17,87 Miliar |
| Kapitalisasi pasar | Rp 444,8 Miliar |
| Volume / Kapitalisasi pasar | 0,040183 |
| Dominasi pasar | 0,001012% |
| Peringkat | #7874 |
| Harga Wrapped TAO (WTAO) kemarin | |
| Terendah / Tertinggi kemarin | Rp 4.006.057 / Rp 4.163.987 |
| Pembukaan / Penutupan kemarin | Rp 4.088.772 / Rp 4.145.011 |
| Perubahan harga kemarin | 1.38% |
| Volume perdagangan kemarin | Rp 2,51 Miliar |
| Suplai Wrapped TAO (WTAO) | |
| Suplai WTAO beredar | 118.596 WTAO |
| Total suplai | 118.596 WTAO |
| Suplai maksimum | 21.000.000 WTAO |
| Riwayat harga Wrapped TAO (WTAO) | |
| Terendah / Tertinggi 7 hari | Rp 4.002.057 / Rp 4.769.898 |
| Terendah / Tertinggi 30 hari | Rp 4.002.057 / Rp 5.661.839 |
| Terendah / Tertinggi 90 hari | Rp 3.447.399 / Rp 6.203.212 |
| Terendah / Tertinggi 52 minggu | US$145,42 / US$415,04 |
| Tertinggi sepanjang masa 19:07:00 11/04/2024 |
US$767,30 |
| Terendah sepanjang masa 23:58:00 14/05/2023 |
US$21,20 |
Validators are incentivized to come to a consensus and rank the miners according to their contributions, and the rewards are distributed proportionally between the miners and validators. The system is built on a 50/50 model, where both validators and miners share the rewards, ensuring a fair and transparent distribution of rewards.
In summary, TAO is the fuel that powers the Bittensor network, which creates a decentralized marketplace for machine intelligence. Through the use of machine learning models and validators, Bittensor ensures that only the most valuable data is rewarded, and the rewards are distributed fairly between validators and miners.