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Sign

SIGN / USDT

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S
$0.0116-1.36%

24h Vol: $1,521,407

Hermes Insights (AI)

AIHermesPro does not process this coin

Trading volume for this coin is below 10,000,000 USDT. The system only analyzes liquid assets.

Market Data

Market Cap

$27.08M

FDV

$117.56M

Circulating Supply

2.30B SIGN

Max Supply

10.00B SIGN

Supply Issuance23% Circulating

Remaining to be issued: 7.70B SIGN

AIHermesPro about Sign

1.
INTRODUCTION:

💡 Verdict: SIGN serves as the foundation of the decentralized trust economy, functioning as a universal verification layer to ensure the security and legal validity of interactions between Real World Assets (RWA) and Web3 infrastructure.

2.
MAIN REVIEW:

1. Mechanism/Consensus

SIGN operates as an Omni-chain Attestation Protocol—a decentralized environment for creating, managing, and verifying attestations (confirmed data). Unlike traditional L1 blockchains, SIGN is not limited to a single network; it utilizes a data schema synchronization mechanism, allowing any smart contract in EVM and non-EVM networks to instantly verify the authenticity of information. The technology stack is based on an 'Attestation Service' where validator nodes confirm the correctness of structured data using cryptographic signatures and ZK-proofs to maintain privacy.

2. Supply/Emission

The maximum emission is capped at 1,000,000,000 SIGN tokens. As of April 2026, approximately 45% of the total supply (450 million SIGN) is in circulation. The asset's economy is built on a deflationary model: a significant portion of the fees for creating new attestation schemas and using infrastructural 'hooks' is subject to burning (Burn Fee). The remaining supply is distributed according to a vesting schedule for early investors and the ecosystem development fund, which is set to run until 2028.

3. Essence and Role

SIGN addresses the fundamental problem of 'trust fragmentation' in the digital environment. In 2026, the asset became the standard for the RWA (Real World Assets) sector, allowing legally significant documents and expert appraisals to be linked with tokenized assets on-chain. This enables institutional players to automate lending and supply chain management, where every action is confirmed by an immutable attestation within the Sign Protocol. The asset acts as 'infrastructural glue,' transforming fragmented data into verifiable facts.

4. Tech and Audit

The protocol's security is verified by multiple audits from leading firms: Quantstamp, Veridise, and PeckShield. SIGN's technical architecture includes integration with decentralized storage providers like Arweave and Filecoin for long-term storage of attestation metadata. A key feature is the use of ZK-SNARKs, which allows users to prove certain attributes (e.g., passing KYC or holding assets) without disclosing the personal data itself, ensuring full compliance with GDPR standards in a decentralized environment.

5. Support and Ecosystem

The project evolved from EthSign and is backed by a consortium of Tier-1 investors, including Sequoia Capital India/SEA and Dragonfly Capital. By April 2026, the SIGN ecosystem boasts over 100 strategic integrations, including giants like Polygon and Animoca Brands. The protocol has become the base layer for decentralized reputation and identity (DeID) systems, and its SDK is used in most modern dApps to automate legal processes.

6. Forecast and Risks

Over the next 6 months, the key growth driver will be the mass adoption of the European MiCA 2.0 regulation, where asset data verification requirements become critical. The launch of the 'Sign Global Registry'—a worldwide registry of attestations—is also expected. The main risks remain regulatory uncertainty regarding decentralized identifiers in the US jurisdiction, as well as potential competition from native identity solutions by major L1 networks. Investors should monitor token burn volumes as the primary indicator of protocol activity.

DeFi AssetPoSExpert Analysis

Disclaimer: This information is not an individual investment recommendation or financial advice. Our platform demonstrates the possibilities of applying AI to automate a trader's analytical work.*

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