
Siacoin (SC)
Rank #437
Market snapshot
- Price
- $0.00067768
- Market cap
- $38.0M
- 24h volume
- $5.6M
- Circulating supply
- 56,025,636,522.0752
- Total supply
- 62,217,525,676.303
- Max supply
- N/A
What is Siacoin?
Siacoin is a cryptocurrency that enables users to generate SC through the process of mining. It is built to provide decentralized storage solutions, allowing users to rent out their unused hard drive space to others on the network.
Key information
- Symbol
- SC
- CMC rank
- #437
- Network / platforms
- N/A
- Categories
- Mineable, Proof of work
- Date added
- Aug 26, 2015
Official resources
Risks
Digital asset prices can be volatile and can change materially. Users should verify the contract address and network before transferring assets. Self-custody requires secure private-key and recovery-phrase handling. Centralized platforms can involve operational, custody, and counterparty risk. Availability and regulatory treatment can vary by jurisdiction. Transaction finality and reversibility can differ by network.
Transfer and custody notes
Verify the asset name, network, and the destination details before transferring. Verify destination address and network before sending assets. Review the custody method, including self-custody versus a third-party platform. Understand that transfers may be irreversible and that CoinLoom does not confirm exchange availability.
FAQ
- What is Siacoin?
- Siacoin (SC) is a mineable cryptocurrency designed for decentralized storage solutions.
- What are the risks associated with transferring Siacoin?
- Digital asset prices can be volatile and can change materially. Users should verify the asset and network before transferring assets.
- How can I verify my acquisition of Siacoin?
- Verify the asset name, network, and the destination details before transferring.
- Where can I find official resources for Siacoin?
- Official resources for Siacoin can be found at the Sia website, GitHub repository, and various block explorers.
Related cryptocurrencies
Listed from stored network and category relationships, not a similarity score.