ESPORTS lost more than 90% of its market value in under two hours after wallets tied to the project unloaded roughly 178 million tokens into thin liquidity, with part of the flow routed through Kraken addresses associated with DWF Labs.…
Clear overview of Axis Defi: what it is, the problems it targets, token mechanics, ecosystem role, and key investor considerations.
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Squid has moved quickly to stress that a recent $3 million exploit targeted a third party Gnosis Safe module called SquidRouterModule, not its core cross chain routing contracts, after 86 wallets on Ethereum and Base were drained in under two…
A concise overview of Astra Protocol: what it is, the problem it targets, token utility, ecosystem role, and key risks to consider.
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Crypto market leadership remained concentrated rather than broad based. Crypto markets on May 25 showed a clear divergence between sectors, with infrastructure projects, privacy focused assets and exchange related tokens attracting capital while several previously popular altcoins lagged behind. How…
Dogecoin’s price action looks bare on the surface, but the wallets that often matter most are making interesting moves. Notably, on-chain data shows that large DOGE holders have returned to accumulation at a time when the meme coin is trading below its most important technical price zones of the year. Dogecoin Whales Are Buying Into Weakness DOGE has spent much of 2026 under pressure, with rallies repeatedly struggling to turn into upside above $0.10. That has made whale behavior more important because large holders tend to accumulate during periods when smaller traders are either selling, waiting, or losing interest. Related Reading: Dogecoin Adoption Is Back In The Cards, But Why Is DOGE Price Still Crashing? On-chain data tracked by crypto analyst Ali Martinez and sourced from Santiment shows that large DOGE holders purchased more than 525 million tokens in a 96-hour window. At the time the accumulation was recorded, Dogecoin’s price action was locked in a tight squeeze directly bel
Chinese AI startup DeepSeek has announced a steep price cut for its recently launched flagship AI model, V4-Pro. The company has reduced pricing for the model by 75%, just a month after unveiling the V4 generation, which includes V4 Pro and V4 Flash.
Earlier, usage costs ranged from $0.0145 for one million tokens (cache hit) to $3.48 for one million output tokens. Following the revision, the V4 Pro will now cost starting at $0.003625 per million tokens and going up to $0.87 per million tokens, respectively. The Deepseek V4 Pro model API pricing will be officially adjusted to 1/4 of the original price after the 75% discount promotion ends on 2026/05/31 15:59 UTC, said the company.
“V4-Pro was engineered to cut the cost of long-context inference, reportedly running at roughly a quarter of the single-token compute and a tenth of the memory footprint of its predecessor at very long context. This is why the price cut is permanent rather than promotional. It is not a discount. It is an effic
Chinese AI startup DeepSeek has announced a steep price cut for its recently launched flagship AI model, V4-Pro. The company has reduced pricing for the model by 75%, just a month after unveiling the V4 generation, which includes V4 Pro and V4 Flash.
Earlier, usage costs ranged from $0.0145 for one million tokens (cache hit) to $3.48 for one million output tokens. Following the revision, the V4 Pro will now cost starting at $0.003625 per million tokens and going up to $0.87 per million tokens, respectively. The Deepseek V4 Pro model API pricing will be officially adjusted to 1/4 of the original price after the 75% discount promotion ends on 2026/05/31 15:59 UTC, said the company.
“V4-Pro was engineered to cut the cost of long-context inference, reportedly running at roughly a quarter of the single-token compute and a tenth of the memory footprint of its predecessor at very long context. This is why the price cut is permanent rather than promotional. It is not a discount. It is an effic