What is SCREAM?

SCREAM corresponds to the Scream protocol in public data, primarily built on the Fantom blockchain and positioned as a decentralized lending service. Unlike traditional lending, it matches capital suppliers and borrowers through smart contracts, aiming to enhance the on-chain utility efficiency of crypto assets.

  • Capital suppliers can deposit idle crypto assets into the protocol to earn interest returns.
  • Borrowers can collateralize assets to borrow funds for liquidity management or on-chain operations.
  • The protocol typically relies on smart contracts, collateralization ratios, and liquidation mechanisms to control default risks.

Token Metrics: Supply and Circulation

According to public data, the total supply of SCREAM tokens is approximately 2 million, with a self-reported circulating supply of around 144,400. Based on these figures, circulation accounts for roughly 7% of the total supply.

It should be noted that circulation data comes from self-reported metrics and may be affected by token unlocks, burns, and contract holding statistics methods. Different market tracking platforms may also show significant discrepancies in quotes for the same token. In public market data, the unit price of SCREAM has ranged from approximately $0.0157 to $0.0967, a variance that itself reminds readers to verify data sources, trading pairs, and liquidity depth.

Listing History and Trading Environment

Public records show that the SCREAM token was once listed in the Huobi Global Innovation Zone in March 2022. Listing history only indicates past attention from trading platforms and does not equate to current sufficient liquidity or stable project activity.

Public data does not provide sufficient information to confirm its current mainstream trading status; if trading is involved, users need to independently verify supported platforms and liquidity.

What Future Prospects Depend On

From the perspective of project type, the development of lending protocols like SCREAM generally depends on several conditions:

  • Activity level of the underlying public chain ecosystem: Lending demand stems from scenarios such as trading, liquidity mining, and leveraged operations. If the usage rate of the Fantom-related ecosystem declines, the scale of the protocol will also face pressure.
  • Protocol security and governance: Smart contract vulnerabilities, liquidation mechanisms, administrator permissions, and governance processes all affect user trust.
  • Clarity of token utility: If SCREAM is primarily used for governance or incentives, its value is tied to the protocol's real usage, fee revenue, and user retention; if its utility is thin, the token price is more susceptible to market sentiment.
  • Liquidity and data transparency: Low circulating supply, large cross-platform quote discrepancies, and unclear self-reported data metrics will all amplify trading risks.

Key Risks

  • DeFi contract risk: Smart contract vulnerabilities, oracle anomalies, and liquidation failures may lead to loss of funds.
  • Liquidity risk: Quote discrepancies and insufficient trading depth may widen bid-ask spreads.
  • Ecosystem dependency risk: The project is primarily built on the Fantom ecosystem, and changes in the activity level of the relevant chain will directly impact protocol usage.
  • Data metric risk: When total supply, circulating supply, and prices come from different platforms, direct comparisons may be difficult due to differing statistical methods.

Overall, SCREAM is a DeFi token project centered around lending. While public information confirms its positioning, supply structure, and partial listing history, verifiable data regarding its current activity level, real user scale, and liquidity depth is limited. When assessing its prospects, greater focus should be placed on protocol usage data, security audits, governance progress, and trading depth rather than solely on token price or listing history.