Peringkat #3142
21:00:03 12/11/2026
Harga AIT Protocol (AIT)
Rp 4,38 -20,86%
0,000000003311 BTC
≈ US$0,000239794
Terendah 24j: Rp 4,38
Tertinggi 24j: Rp 1.586
| Kapitalisasi pasar | Rp 1,30 Miliar | Volume 24j | - | Suplai beredar | 296,3 Juta AIT |
| Perubahan 1j | 0,00% | Perubahan 24j | -20,86% | Perubahan 7h | 16,90% |
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Konversi AIT ke Rupiah (IDR) dan USD
Info AIT Protocol (AIT)
| Status | Aktif |
| Situs web | |
| Whitepaper | |
| Block Explorer | https://etherscan.io/token/0x89d584A1EDB3A70B3B07963F9A3eA5399E38b136 |
| Kode sumber | |
| Papan pesan | |
| Chat | |
| Pengumuman | |
| X (Twitter) | |
| Platform | |
| Tanggal ditambahkan | 18:56:44 29/12/2023 |
| Tag | AI & Big Data, Ethereum Ecosystem, Web3, Paal Ecosystem |
Statistik AIT Protocol (AIT)
| Harga AIT Protocol (AIT) hari ini | |
|---|---|
| Harga AIT Protocol (AIT) | Rp 4,38 |
| Perubahan 1 jam | 0% |
| Perubahan 24 jam | -20,86% |
| Perubahan 7 hari | 16,90% |
| Terendah / Tertinggi (24j) | Rp 3,18 / Rp 1.586 |
| Volume perdagangan 24 jam | - |
| Kapitalisasi pasar | Rp 1,30 Miliar |
| Dominasi pasar | 0,000003% |
| Peringkat | #3142 |
| Harga AIT Protocol (AIT) kemarin | |
| Terendah / Tertinggi kemarin | Rp 3,26 / Rp 1.587 |
| Pembukaan / Penutupan kemarin | Rp 1.584 / Rp 3,26 |
| Perubahan harga kemarin | -99.79% |
| Volume perdagangan kemarin | |
| Suplai AIT Protocol (AIT) | |
| Suplai AIT beredar | 296.265.670 AIT |
| Total suplai | 297.593.503 AIT |
| Suplai maksimum | |
| Riwayat harga AIT Protocol (AIT) | |
| Terendah / Tertinggi 7 hari | Rp 1,72 / Rp 1.588 |
| Terendah / Tertinggi 30 hari | Rp 1,72 / Rp 1.590 |
| Terendah / Tertinggi 90 hari | Rp 0,738410 / Rp 1.592 |
| Terendah / Tertinggi 52 minggu | US$0,00001644 / US$0,08725 |
| Tertinggi sepanjang masa 19:23:00 11/03/2024 |
US$1,21 |
| Terendah sepanjang masa 05:12:00 24/07/2026 |
US$0,00001644 |
| ROI AIT Protocol (AIT) | -98,84% |
AIT also runs a subnet on Bittensor network called 'Einstein AIT' which focuses on mathematics, logic, and data analysis. The AI subnet is to optimize response accuracy of the entire Bittensor network. We achieve this by enabling the language model to autonomously write, test, and execute code within unique Python environments.