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Crypto De Nostradame
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#Cryptocurrency Market Overview 📈 - Total Market Cap: $1.18 trillion ⬆️ - #btc Dominance: 49.84% ⬇️ - #ETH Dominance: 19.64% ⬇️ - Total Market Cap: $25 million ⬇️ - Fear and Greed Index: 58 (greed) 🟢 Top 100 Top Winners: •Bone ShibaSwap (#BONE) +24% • Fading (#LEFT) +11% Avalanche (#AVAX) +7% 🔴Top 100 Top Losers: Zcash (#ZEC) -6% •Compound (#COMP) -4% •Maker (#MAKER) -4% 📊In Leveraged Transactions, $12 million Long and $16 million Short positions were settled in the last 24 hours. #GOAT #GOATMoments

#Cryptocurrency Market Overview 📈

- Total Market Cap: $1.18 trillion ⬆️

- #btc Dominance: 49.84% ⬇️

- #ETH Dominance: 19.64% ⬇️

- Total Market Cap: $25 million ⬇️

- Fear and Greed Index: 58 (greed)

🟢 Top 100 Top Winners:

•Bone ShibaSwap (#BONE) +24%

• Fading (#LEFT) +11%

Avalanche (#AVAX) +7%

🔴Top 100 Top Losers:

Zcash (#ZEC) -6%

•Compound (#COMP) -4%

•Maker (#MAKER) -4%

📊In Leveraged Transactions, $12 million Long and $16 million Short positions were settled in the last 24 hours.

#GOAT #GOATMoments

Aviso legal: Se incluyen opiniones de terceros. Esto no respresenta una asesoría financiera. Puede haber contenido patrocinado. Lee los TyC.
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Uplifting XRP Report Amid Ripple Lawsuit. The first quarterly report of the year containing important details for XRP and XRP Ledger (XRPL) has been published by Ripple. While the legal fight between Ripple and the SEC has reached a new stage, the report contains uplifting details. Some important parts are as follows: *During the reporting period, the daily transaction volume of XRP Coin increased by 40 percent. Binance, Bybit and Upbit are responsible for 70 percent of the total transaction volume. *Speculative interest in XRP was quite strong in the first three months of 2024. Spot trading volume and strong demand in futures were highly correlated with overall market activity. *Transactions in XRPL increased 2 times in the first quarter of 2024 compared to the previous quarter. *The number of XRPL transactions was at 121 million in the 4th quarter of 2023 and increased to over 251 million in this quarter. *At the end of March, the average #XRPL transaction fee decreased to $0.000856. Ripple (XRP) is among the largest cryptocurrencies, but it is not comparable to its competitors in terms of applications that generate benefits on the network. The team is working hard to improve network capabilities, as it is extremely important for the future of the project. XLS-30 was introduced for DeFi developers and users in the last quarter. It is an automatic market maker (AMM) and improves trading capabilities. “More XRPL support – I'm particularly excited about native AMM going live in Q1, arguably one of the biggest updates for the XRP Ledger.” A small comment about the case was also included; “In terms of next steps, both parties will wait for the Judge to make a decision on final remedies – likely in the coming months. Ripple remains confident that the Judge will approach the resolution phase fairly.” $BTC $ETH $BNB
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🧙‍♂️The Securities and Exchange Board of India (SEBI) and the Reserve Bank have presented different stances to government panels on cryptocurrency regulation. 🧙‍♂️The central bank still supports banning stablecoins and the group plans to finalize its report in early June. (Reuters)
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Big profit period from small language models in artificial intelligence Microsoft, Meta, and Google have released new versions that have fewer parameters and are cheaper to build and train. Companies make huge profits from these small language models. Artificial intelligence companies, which spent billions of dollars to create large language models to power their artificial intelligence products, have now turned to small language models to increase their revenues. Apple, Microsoft, #Meta , and #Google have recently released new #AI models with fewer parameters but still powerful capabilities. In general, the higher the number of parameters, the better the performance of the AI ​​software and the more complex and nuanced its tasks can be. OpenAI's latest model GPT-4o and Gemini 1.5 Pro, which Google announced this week, are estimated to have more than 1 million parameters, and Meta is training a 400 billion-parameter version of the open-source Llama model.
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