About Cellframe

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ARS 56.07

Trading Insights

Market Stats

Market Cap

ARS 1.61B

2.87%

FDV

ARS 2.12B

Circ. Supply

29M CELL

Max Supply

Not enough data

Total Supply

38M CELL

Diluted Valuation

ARS 2.11B

Performance

Popularity

Not enough data

Dominance

0%

Volume (24H)

ARS 602.11M

14.42%

Volume (7D)

ARS 3.72B

Volume (30D)

ARS 18.54B

All time high

ARS 9.41K

Price Change (1Y)

Not enough data

86.87%

Additional details

Market details

CELL vs markets

↘ 81.28%

CELL vs BTC

↘ 79.49%

CELL vs ETH

↘ 81.73%

Tags

defi

privacy

zero-knowledge-proofs

quantum-resistant

+4

Network & Addresses

Network
Address

Ethereum

0x26c8AFBBFE1EBaca03C2bB082E69D0476Bffe099

BNB Smart Chain

0xf3E1449DDB6b218dA2C9463D4594CEccC8934346

BNB Smart Chain

0xd98438889Ae7364c7E2A3540547Fad042FB24642

Price history

Time
Price
Change
Today
ARS 56.07
-2.76%
1 Day
ARS 57.63
-2.76%
1 Week
ARS 54.83
+2.75%
1 Month
ARS 65.05
-15.82%
1 Year
ARS 351.14
-86.87%

FAQ

Cellframe is a service-oriented blockchain platform with a quantum-resistant layer-1 network. Quantum-resistant algorithms, also known as post-quantum, are cryptographic algorithms that avert attacks from quantum computers. Quantum computers are those machines that have such processing power that beats even the most powerful supercomputers available today. Hence, post-quantum encryption is a standard to provide the highest level of security. 

Cellframe can thus be explained as a multi-channel, quantum-resistant blockchain that allows multiple keys and signing algorithms. In addition, the network was built from scratch in plain C, resulting in a more efficient CPU and memory. Performance and scalability of Cellframe meet not only demand from the public blockchain industry but also widely used enterprise solutions.

Cellframe consists of a specific capability of smart contracts under which it can interact directly with the resources of an operating system. This feature allows Cellframe to leverage disk space, computing power, and the internet channel to carry out necessary business logic. CELL is the native token10 of Cellframe used for multiple purposes like:

Cellframe was introduced in 2017 by Sergey Sevantsyan and Dmitry Gerasimov. They both have a great experience in blockchain and traditional ICT. Sergey Sevantsyan is an international keynote speaker and has 25+ years of experience in ICT. In contrast, Dmitry Gerasimov has extensive experience as a developer in the field of security and quantum computing.

The total supply of Cellframe is 29,735,000 CELL tokens.

We update our Cellframe to ARS currency in real-time. Get the live price of Cellframe on Coinbase.

The current market cap of Cellframe is ARS 1.605B. A high market cap implies that the asset is highly valued by the market.

The all-time high of Cellframe is ARS 9,405.70. This all-time high is highest price paid for Cellframe since it was launched.

Over the last 24 hours, the trading volume of Cellframe is ARS 602.114M.

Assets that have a similar market cap to Cellframe include Alvara Protocol, New XAI gork, ShareToken, and many others. To see a full list, see our comparable market cap assets.

The current circulating supply of Cellframe is 29 million.

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Social stats

Popularity in posts

#1029

Contributors

3

Posts

3

% About Cellframe

0.019%

Articles

0

X (Twitter)

50% bullish

Sentiment

3.7 ★

Highlights

3 unique individuals are talking about Cellframe and it is ranked #1,029 in most mentions and activity from collected posts. In the last 24 hours, across all social media platforms, Cellframe has an average sentiment score of 3.7 out of 5. Finally, Cellframe is becoming less newsworthy, with 0 news articles published about Cellframe.

On Twitter, people are mostly bullish about Cellframe. There were 50% of tweets with bullish sentiment compared to 0% of tweets with a bearish sentiment about Cellframe. 50% of tweets were neutral about Cellframe. These sentiments are based on 2 tweets.

On Reddit, Cellframe was mentioned in 1 Reddit posts and there were 2 comments about Cellframe. On average, there were less upvotes compared to downvotes on Reddit posts and more upvotes compared to downvotes on Reddit comments.

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