Tiền ảo: 36,622 Sàn giao dịch: 903 Vốn hóa: $3,104,534,167,050 Khối lượng (24h): $155,488,633,398 Thị phần: BTC: 58.9%, ETH: 11.8%
Allora (ALLO)Allora ALLO
Xếp hạng #615 01:08:00 03/12/2025
Giá Allora (ALLO)
$0.1464 5.94%
0.000001597 BTC 3,997 VND
Thấp: $0.1339 Cao: $0.1478

Thông tin Allora (ALLO)

Số liệu thống kê Allora (ALLO)

Giá Allora (ALLO) hôm nay
Giá Allora (ALLO) $0.1464
Dao động 1 giờ 1.35%
Dao động 24 giờ 5.94%
Dao động 7 ngày -18.3%
Giá Thấp / Cao nhất (24h) $0.1337 / $0.1501
Khối lượng giao dịch 24 giờ $23,469,293
Vốn hóa $29,358,130
Khối lượng giao dịch / Vốn hóa thị trường 0.799414
Thị phần 0.000946%
Xếp hạng #615
Giá Allora (ALLO) hôm qua
Giá Thấp / Cao nhất hôm qua $0.1318 / $0.1501
Giá Mở / Đóng hôm qua $0.1445 / $0.1384
Dao động giá hôm qua -4.22%
Khối lượng giao dịch hôm qua $40,234,766
Nguồn cung Allora (ALLO)
Tổng ALLO đang lưu hành 200,500,000 ALLO
Tổng cung 785,499,999 ALLO
Tổng cung tối đa 1,000,000,000 ALLO
Lịch sử giá Allora (ALLO)
Giá Thấp / Cao 7 ngày $0.1318 / $0.1808
Giá Thấp / Cao 30 ngày $0.1318 / $1.70
Giá Thấp / Cao 90 ngày $0.1318 / $1.70
Giá Thấp / Cao 52 tuần $0.1318 / $1.70
Giá cao nhất lịch sử
18:01:00 11/11/2025
$1.70
Giá thấp nhất lịch sử
09:01:00 01/12/2025
$0.1318
ROI của Allora (ALLO) -86.45%
Allora is an open intelligence platform designed to make artificial intelligence systems more adaptive, collaborative, and efficient. The network enables users and developers to access and contribute to a collective layer of intelligence where multiple AI models are combined, compared, and refined in real time.


Launched in 2024, Allora was developed by a team of engineers and researchers with experience in large-scale blockchain and AI infrastructure, including contributors to projects such as Chainlink, LayerZero, Consensys and more. The protocol operates as an “intelligence layer” that coordinates the outputs of many different AI models to produce a single, optimized result. This structure allows models to compete and cooperate within a decentralized network, continuously improving as more participants contribute data, insights, or model outputs.

Unlike traditional AI systems that rely on a single model architecture, Allora allows users to define a desired outcome while the network determines which models to use and how to weigh their influence. This adaptive aggregation process enables predictive intelligence that strengthens as more users, data sources, and algorithms interact with the system. Contributors are rewarded for the measurable value their models provide, creating an incentive structure that promotes accuracy, innovation, and collaboration across the network.


Businesses and developers can integrate Allora through plug-and-play signals that can be applied across various domains such as finance, analytics, trading, and autonomous agents. By abstracting the complexity of model selection and maintenance, Allora allows organizations to access high-performance AI outputs without managing infrastructure or retraining models. This makes advanced intelligence capabilities more accessible to teams with limited resources, while also offering scalability for enterprise-level use cases.


The network’s token mechanism underpins the incentive layer that coordinates participation and ensures fair distribution of rewards among contributors. Through this system, model developers, data providers, and validators are compensated based on their impact on the quality of network intelligence. As usage grows, the feedback between users and contributors drives continuous improvement, forming a self-reinforcing ecosystem of shared learning.


Allora’s long-term objective is to democratize access to machine intelligence by building an open, composable AI network. The project envisions a world where AI innovation is not limited to a few centralized entities but distributed among a global community of contributors and users.


By combining multiple AI models into a single adaptive system, Allora provides a foundation for more transparent, efficient, and collaborative intelligence. Positioned at the intersection of AI and decentralized technologies, it serves as a bridge between individual model performance and collective intelligence, offering a new way to coordinate, evaluate, and apply AI in real-world contexts.
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