| # | 取引 | ペア | 現在値 | 数量 | 売買代金 | 数量 % | 時刻 |
|---|
| のための取引が見つかりませんでした。PRLUSD |
| Date | Price | 前日比 | 前日比 % | 安値 | 高値 | 平均出来高 |
|---|
| 1 | 0.16005 | 0.04928 | 30.7903780069 | 0.15072 | 0.2999 | 2100093.61429 | CX |
| 4 | 0 | 0 | 0 | 0 | 0.30548 | 676868.753571 | CX |
| 12 | 0 | 0 | 0 | 0 | 0.30548 | 225622.917857 | CX |
| 26 | 0 | 0 | 0 | 0 | 1.05921601 | 104133.654396 | CX |
| 52 | 1.21717782 | -1.00784782 | -82.8020198396 | 0.15072 | 1.26956676 | 51924.1783562 | CX |
| 156 | 0.31319364 | -0.10386364 | -33.1627551568 | 0.15072 | 1.28793088 | 17245.0637853 | CX |
| 260 | 0.43465871 | -0.22532871 | -51.8403760965 | 0.15072 | 1.28793088 | 10356.4618033 | CX |
Perle Labs is a web3-powered AI platform on Solana that connects verified experts with enterprises and research teams to train and improve AI models. Professionals, researchers, and domain specialists earn rewards and build on-chain reputations by completing high-quality data annotation and validati...
Perle Labs is a web3-powered AI platform on Solana that connects verified experts with enterprises and research teams to train and improve AI models. Professionals, researchers, and domain specialists earn rewards and build on-chain reputations by completing high-quality data annotation and validation tasks.
Pain points the project addresses includes:
Human Data Bottlenecks: Continuous need for high-volume, high-quality data annotation, evaluation, and RLHF, but existing pipelines lack scalability.
Low-Quality Feedback: Reliance on generic labor pools without domain expertise, leading to noisy signals and degraded AI accuracy.
Lack of Verifiability: Opaque processes without audit trails for contributor performance and quality.
Show More
| 日付 | 終値 | 前日比 | 前日比 % | 始値 | 高値 | 安値 | 出来高 |
|---|
| 1780444200 | 0.19474 | -0.00356 | -1.80 | 0.1976 | 0.22035 | 0.18859 | 1437717 |
| 1780357800 | 0.1983 | -0.00522 | -2.56 | 0.2033 | 0.2047 | 0.19033 | 389245 |
| 1780271400 | 0.20352 | 0.00186 | 0.92 | 0.20328 | 0.23321 | 0.19221 | 1492858 |
| 1780185000 | 0.20166 | 0.02244 | 12.52 | 0.1827 | 0.216 | 0.1739 | 1618770 |
| 1780098600 | 0.17922 | 0.00161 | 0.91 | 0.17992 | 0.19859 | 0.17258 | 1504740 |
| 1780012200 | 0.17761 | 0.01963 | 12.43 | 0.15798 | 0.2999 | 0.15072 | 6594746 |
| 1779925800 | 0.15798 | -0.00207 | -1.29 | 0.16005 | 0.18428 | 0.15709 | 1662576 |
| 1779839400 | 0.16005 | -0.01356 | -7.81 | 0.17268 | 0.17379 | 0.15945 | 135928 |
| 1779753000 | 0.17361 | -0.00602 | -3.35 | 0.17963 | 0.18405 | 0.17167 | 192336 |
| 1779666600 | 0.17963 | -0.01186 | -6.19 | 0.19149 | 0.19186 | 0.1775 | 91836 |
| 1779580200 | 0.19149 | 0.00576 | 3.10 | 0.18882 | 0.19788 | 0.1855 | 213672 |
| 1779493800 | 0.18573 | -0.01091 | -5.55 | 0.19753 | 0.20811 | 0.18497 | 262151 |
| 1779407400 | 0.19664 | -0.00318 | -1.59 | 0.19982 | 0.19982 | 0.19095 | 77388 |
| 1779321000 | 0.19982 | -0.00045 | -0.22 | 0.19982 | 0.19982 | 0.19982 | 0 |
| 1779234600 | 0.20027 | -0.00567 | -2.75 | 0.20656 | 0.21014 | 0.19894 | 135025 |
| 1779148200 | 0.20594 | 0.0091 | 4.62 | 0.19916 | 0.21394 | 0.19574 | 302218 |
| 1779061800 | 0.19684 | -0.00705 | -3.46 | 0.20361 | 0.21009 | 0.19386 | 105240 |
| 1778975400 | 0.20389 | -0.01614 | -7.34 | 0.21987 | 0.23043 | 0.19636 | 660667 |
| 1778889000 | 0.22003 | -0.03152 | -12.53 | 0.25052 | 0.25488 | 0.2187 | 309266 |
| 1778802600 | 0.25155 | -0.00304 | -1.19 | 0.25476 | 0.25644 | 0.24628 | 196544 |
| 1778716200 | 0.25459 | 0.00023 | 0.09 | 0.25557 | 0.25889 | 0.24346 | 284402 |
| 1778629800 | 0.25436 | -0.01647 | -6.08 | 0.27296 | 0.27593 | 0.24603 | 224666 |
| 1778543400 | 0.27083 | -0.00154 | -0.57 | 0.27201 | 0.27923 | 0.26502 | 207156 |
| 1778457000 | 0.27237 | -0.0158 | -5.48 | 0.28933 | 0.30548 | 0.26154 | 294378 |
| 1778370600 | 0.28817 | 0.00735 | 2.62 | 0.28122 | 0.29796 | 0.27764 | 280614 |
| 1778284200 | 0.28082 | -0.776574 | -73.44 | 0.2734 | 0.28599 | 0.258 | 278175 |
| 1778197800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1778111400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1778025000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777938600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777852200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777765800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777679400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777593000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777506600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777420200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777333800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777247400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777161000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1777074600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776988200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776901800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776815400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776729000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776642600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776556200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776469800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776383400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776297000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776210600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776124200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1776037800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775951400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775865000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775778600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775692200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775605800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775519400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775433000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775346600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775260200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775173800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775087400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1775001000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774914600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774828200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774741800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774655400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774569000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774482600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774396200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774309800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774223400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774137000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1774050600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773964200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773877800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773791400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773705000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773618600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773532200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773445800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773359400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773273000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773186600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773100200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1773013800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1772927400 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1772841000 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1772754600 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1772668200 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |
| 1772581800 | 1.05739406 | 0 | 0.00 | 0 | 0 | 0 | 0 |