这4个爆炸5倍的加密货币CORE、LTC、TAO、MKR

金色财经Pubblicato 2024-07-08Pubblicato ultima volta 2024-07-09

Introduzione

每天,我们都会根据最新的市场走势、区块链新闻和趋势叙述来回顾一些现在最值得购买的加密货币的选择。

每天,我们都会根据最新的市场走势、区块链新闻和趋势叙述来回顾一些现在最值得购买的加密货币的选择。
现在最值得购买的加密货币 
CORE 经历了显着的飙升,最近达到 3.68 美元的 52 周高点,一天内上涨了 36.3 美元,令人印象深刻。与此同时,莱特币交易强劲,估值为 98.02 美元,24 小时交易量为 24.5 亿美元,展现了市场的韧性。此外,BGB 表现出强劲的市场实力,这得益于其市值带来的高流动性水平。
1. CORE
Core 的原生代币 CORE 大幅上涨,最近触及 3.68 美元的 52 周新高。该代币单日上涨 36.3 美元。这次飙升是在 3 月第四周开始的一段恢复期之后发生的,当时价格从 0.534 美元的支撑位反弹。短短两周内,该代币就上涨了 547%,交易价格在 3.5 美元左右。
目前,CORE 交易价格为 3.44 美元,盘中涨幅达 24.32%。这一飙升使其市值达到 30.8 亿美元,使 CORE 跻身前 50 名加密货币之列。价格上涨很大程度上归因于Core战略推出coreBTC。

图片


该举措将比特币强大的安全功能整合到去中心化金融(DeFi)领域,承诺提供更安全的交易环境。此外,市场分析师表示,如果目前的势头持续下去,CORE 价格的上涨可能会达到更高的水平。此外,更长的时间范围分析表明,山寨币形成了一种看涨反转模式,称为圆底。 
该模式表明该代币之前的下跌趋势可能即将结束。它可能标志着上升趋势的开始。今天,CORE 以高成交量蜡烛突破了 3.5 美元的阻力位,向买家发出了继续上涨的明确信号。
2.LTC
莱特币最近经历了显着的价值飙升。在社区积极情绪的推动下,莱特币的价格飙升至 100 美元以上。它已测试了 105 美元上方的阻力位。 
莱特币的交易价格为 98.02 美元,24 小时交易量为 24.5 亿美元,表现出了韧性。它的交易价格高于 200 天简单移动平均线。莱特币的价格较去年上涨了 9%,且市值显示出较高的流动性,今年第一季度的表现备受关注。 

图片


截至 3 月 30 日,莱特币已处理超过 3000 万笔交易。这是今年比往年更早实现的一个重要里程碑。这种加快的交易速度和低廉的费用吸引了投资者,这反映在投资 LTC 的约 800 万人身上。
此外,有关莱特币交易所交易基金(ETF)可能在美国推出的传言进一步加剧了人们对其未来发展轨迹的乐观情绪。这种 ETF 的前景凸显了机构对莱特币等加密货币日益增长的兴趣。
3.TAO
在人工智能和游戏市场的狂热冷却之后,Bittensor 正在卷土重来,这可能是由于比特币减半的临近。 TAO 价格盘中飙升 11.61%,达到 564.05 美元。 
市值也大幅增长11.13%,飙升至3,661,331,084美元。此外,同期交易量激增 64.43%,总计 75,208,998 美元。与此相一致的是,TAO 的市场情绪看涨,Greed 得分为 79,表明代币交易活跃。

图片


Bittensor 积极表现的另一个指标是其 200 天简单移动平均线,目前交易价格比 122.07 美元的 SMA 高出 359.04%。此外,Bittensor 的价格比去年飙升了 798%。在这方面,它优于前 100 名加密资产中 92% 的表现,包括比特币和以太坊。
4. MKR
Maker 寻求改善区块链空间,据报道计划将 6 亿美元的 DAI 投资到 USDe 中并质押 USDe (sUSDe)。此举旨在利用 DeFi 借贷协议 Morpho Labs 推动 Ethena Labs 的增长。与此同时,这一消息也受到了市场的积极关注,Maker在最后一个交易日上涨了2.14%。投资者看好 MKR,Greed 得分表明投资者交易不断增长。

图片


与此同时,Maker 的年通胀率为 -5.42%,这是一种通货紧缩趋势,可能会增加代币的价值。在经历 19/30 的绿日后,MKR 的交易价格高于 200 天简单移动平均线。此外,Maker 的流动性(24 小时交易量与市值比率为 0.1151)凸显了其强大的地位。
Maker DAO 通过 Morpho Labs 对 USDe 和 sUSDe 进行战略投资,标志着其积极主动地利用当前市场。此举将有助于 Ethena Labs 生态系统的进一步增长和发展,并巩固 Maker 在 DeFi 领域的地位。

Crypto di tendenza

Letture associate

a16z Deep Dive: Stop Chasing the 'AI Smell', Here's a Practical Guide to Writing with AI

"Don't Obsess Over AI Detection: A Practical Guide to Writing Alongside AI" by Steph Zinn (a16z Crypto) This guide moves beyond the flawed premise that AI-generated text can be easily spotted by a set of "tells" and that these features automatically mean poor quality. Instead, it focuses on how writers and founders can use LLMs effectively by understanding, controlling, and editing the common stylistic tendencies of AI-assisted prose. The article breaks down AI writing "tells" into four key dimensions: **1. Rhetorical Features (Insight-Shaped Writing):** AI often produces semantically empty, "corporate-sounding" filler language—vague profundities, hedging phrases, excessive parallelism, and summary statements. The advice is to ruthlessly edit these out, using prompts to make language more specific and direct. **2. Voice Features (The Alexa Voice):** Default AI writing relies on a narrow, fungible vocabulary of low-friction, abstract words and cliché phrases that lack personality. While this generic voice is acceptable for support docs or mass communications, founders should preserve their unique voice for impactful writing. Use LLMs to identify and replace jargon, aiming for concrete, distinctive word choices. **3. Structural Features (Form Without Function):** AI tends towards over-structured text with excessive subheadings, lists, roadmaps, and the rigid "three-point" framework. While clear structure is good for readability and SEO, it shouldn't force ideas into unnatural containers. Choose a structure that serves the format and purpose, borrowing from effective examples. **4. Punctuation Features (Dash Panic):** The overuse of em dashes and colons has become a hallmark, but writers shouldn't avoid useful punctuation just to seem "human." The key is avoiding repetitive, distracting patterns. Use punctuation that is grammatically correct and supports the flow of your argument. The core argument is that many so-called AI flaws are just amplified versions of existing bad writing habits. The goal isn't to eliminate AI's role but to use it as a tool while maintaining editorial control. The final question shouldn't be "Can this be detected as AI?" but "Does this writing effectively do its job?"

marsbit14 min fa

a16z Deep Dive: Stop Chasing the 'AI Smell', Here's a Practical Guide to Writing with AI

marsbit14 min fa

Podcast Notes | Conversation with Tom Lee: Bitmine Acquiring Nearly 5% of Total ETH Supply Is Not the End Goal, ETH Price Target Set at $10,000

In a podcast interview, Tom Lee, Chairman of BitMine Immersion Technologies, discusses the company's strategy to accumulate nearly 5% of the total Ethereum supply within 14 months, using equity financing and avoiding debt. BitMine has consistently purchased ETH for over 60 consecutive weeks, with recent weeks combining buybacks with purchases. The company's substantial ETH holdings generate approximately $300 million in annual staking rewards, covering operational costs like the dividends for its 9.5% perpetual preferred stock (BMNP). Lee positions ETH as a store-of-value asset, likening it to stocks or land, rather than a pure cash-flow instrument. Looking ahead, Lee suggests BitMine may continue buying beyond the 5% target if institutional adoption grows. He outlines a bullish price target for ETH: surpassing $5,000 in a new crypto bull cycle and potentially exceeding $10,000 within 1-2 years, driven by Wall Street tokenization and AI-related demand. The discussion also covers BitMine's evolution into an ecosystem player, funding Ethereum Foundation spin-offs and developing its Maven staking platform. Lee acknowledges his significant financial interests are tied to ETH's price and BitMine's performance. The interview provides a framework for evaluating ETH as a long-term asset, emphasizing staking yield sustainability and future institutional demand, while noting the uncertainties surrounding macro cycles and real-world adoption.

marsbit14 min fa

Podcast Notes | Conversation with Tom Lee: Bitmine Acquiring Nearly 5% of Total ETH Supply Is Not the End Goal, ETH Price Target Set at $10,000

marsbit14 min fa

Pricing Risk Assets in 8 Hours: Tonight's PCE to Set the Discount Rate, Nvidia to Test Earnings Tomorrow Morning

"Pricing Risk Assets in 8 Hours: PCE to Set the Discount Rate Tonight, NVIDIA to Test Profits Tomorrow Morning" Risk asset prices hinge on two variables: the numerator (earnings expectations) and the denominator (the discount rate). Both will be recalibrated within eight hours. First, at 20:30 Beijing time, the US Bureau of Economic Analysis releases July PCE inflation data and the second estimate of Q2 GDP. Consensus expects mild core PCE growth, but a surge in key PPI components poses an upside risk. A hotter-than-expected print could push Treasury yields and the dollar higher, threatening the recent rally in Bitcoin (BTC) above $80K, which was fueled by falling yields. A benign reading would support risk assets. Market sentiment is already "greedy" (Fear & Greed Index at 74), making it vulnerable to disappointment. Second, around 04:20, NVIDIA reports its Q2 FY27 earnings. While consensus revenue of ~$91.85B slightly exceeds company guidance, the market has priced in a beat. The key will be the magnitude of the beat and, crucially, the Q3 guidance. As a bellwether for tech and AI narratives, NVIDIA's results will significantly impact overall risk appetite and AI-related crypto tokens. The combination creates four scenarios: 1) Benign PCE & strong NVIDIA guidance confirms the bullish trend. 2) Hot PCE & strong NVIDIA leads to conflicted signals and likely volatility for BTC. 3) Benign PCE & weak NVIDIA guidance pressures tech but offers some macro support for BTC. 4) Hot PCE & weak NVIDIA guidance presents a "double whammy," risking a sharp pullback in BTC toward the $75K-$76K support zone. The outcomes will set the tone for markets ahead of the upcoming Jackson Hole symposium.

marsbit47 min fa

Pricing Risk Assets in 8 Hours: Tonight's PCE to Set the Discount Rate, Nvidia to Test Earnings Tomorrow Morning

marsbit47 min fa

Trading

Spot

Articoli Popolari

Come comprare LTC

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Litecoin (LTC) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente LitecoinLTC.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Litecoin (LTC)Dopo aver acquistato Litecoin (LTC), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Litecoin (LTC)Scambia facilmente Litecoin (LTC) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

1.0k Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.06.02

Come comprare LTC

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di LTC LTC sono presentate come di seguito.

活动图片