Whale Address Sells Bitcoin at a Loss, Reports BlockBeats AI Summary According to BlockBeats, a whale address has recently redeemed 400 BTC, valued at $33.83 million, and sold them at a loss. This transaction occurred four hours ago, as monitored by Lookonchain. Four months ago, the whale address purchased 2,000 BTC for $197.8 million at a price of $98,896 per Bitcoin. The selling activity began on March 11, with the address redeeming and selling BTC. To date, the address has sold a total of 1,200 BTC for $98.6 million at an average price of $82,171 per Bitcoin, resulting in a total loss of $31.8 million
That's a pretty significant move for a whale to take such a hit. Selling 1,200 BTC at an average price of $82,171—well below the original $98,896 purchase price—signals some level of urgency or a strategic decision despite the loss. A few possible reasons for this:
1. Risk Management – The whale could be cutting losses to manage risk if they expect further downward price action.
2. Liquidity Needs – There might be external financial pressures requiring quick liquidity.
3. Market Strategy – Sometimes large holders sell at a loss to create market sentiment or to reposition assets elsewhere.
It's also interesting that the selling started back on March 11, suggesting this wasn't a panic move but perhaps part of a longer-term plan.
Want to dig into how this could affect short-term BTC price action or what it says about overall market sentiment?
The Cartesi Machine is a virtual machine that lets developers run Linux apps on blockchains in a way that’s secure, off-chain, and scalable. It's part of Cartesi, a Layer 2 solution for building more advanced decentralized applications (dApps).
Cartesi Machine Works
1. Off-Chain Computation
Heavy work is done off-chain using the Cartesi Machine (runs Linux), so blockchains stay fast and cheap.
Picture idea:
A computer doing work outside a small blockchain.
2. Blockchain Anchoring
Cartesi only sends the results to the blockchain, and uses proofs to verify them if needed.
Picture idea:
A person doing a math problem, then handing only the answer to a judge.
3. Dispute Resolution
If someone challenges the result, Cartesi can replay the computation step-by-step on-chain to prove who is right.
Picture idea:
A referee reviewing instant replay of a play in a game.
Diagram Example:
Here’s a simple visual breakdown:
User submits task
Cartesi Machine runs it off-chain (Linux VM)
Result is sent to blockchain
Optional: Verify or challenge result
Would you like me to generate a simple visual diagram showing this?
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