XRP Price Eyes $10 Bull Run as Nasdaq Traders Brace for ETF Fun

TheCryptoTimes2025-06-09 tarihinde yayınlandı2025-06-09 tarihinde güncellendi

XRP price is yet again in traders spotlight as Nasdaq is ready to open gates for them to get exposure through its Crypto Index. As per the filing of June 2, 2025, the American Stock Exchange has proposed for a change in the rule with the Securities and Exchange Commission (SEC) under rule 19b-4. 

Notably, this proposal aims to allow Hasdex Nasdaq Crypto Index US ETF (NCIQ) to shift from its existing benchmark and add prominent altcoins like XRP, SOL, ADA, XLM.

The XRP price continues to hold its value above the key support level of $2.14, indicating a strong buying point for the altcoin around that level. Additionally, this altcoin is experiencing increasing momentum as the hype for an approval of the Nasdaq crypto index has significantly increased.

Let us now understand how this could impact the XRP price in the upcoming time.

Check Technical Indicators for Ripple’s XRP

The volume indicator plays a vital role when it comes to predicting the price prediction of a token. While larger candles display increased volatility, the smaller candles stress at weak price action. As of today, the histogram records a moderate rise, suggesting mixed market sentiments and a caution period. However, a positive outlook may push the price toward its upper test zones.

Xrp Price Chart
XRP Price Chart, Source: TradingView (XRP/USDT)

The Exponential Moving Averages (EMA) 20, 50, 100, 200 is an important technical indicator as it helps in identifying the price trends more accurately. Here, the XRP price is above all the EMA ranges, suggesting a strong bullish price action in the crypto space. Moreover, the EMA 200 acts as a major support around the $2.08 range, making it a key retest.

The MACD indicator has crossed the signal in the daily time frame and is now positive as it shows +0.0019. Additionally, the trendlines have successfully witnessed a bullish convergence in the same time frame, suggesting rising optimism in the market. Generally, this kind of trend indicates a sustained bullish action.

Will XRP Price Continue Rising?

Considering the present market sentiments, the immediate resistance levels for this altcoin are $2.50 and $2.94. However, sustained bullish action could lead the price toward the multi-month high of $3 this month.

Rising optimism among investors and analysts due to increased adoption and potential exposure of XRP to NASDAQ investors could act as a major catalyst for it to hit its major price targets. Considering such a situation, the XRP price may head toward its highly anticipated target price of $10.

However, coming to reality, this price is not achievable within a short period as it would require an exponential surge and considering the present market sentiments, it is highly unlikely.

Negatively, considering a bearish setback or increased liquidation, this altcoin could retest its immediate support levels of $2.14 and $2.08 in the upcoming time. Moreover, if the bulls fail to regain momentum at this point, the price could retest its April low of $1.7240 this month.

Also Read: Nasdaq Adds XRP, SOL, ADA, XLM to Crypto Index



İlgili Okumalar

Tiger Research: Zuckerberg Begins Betting on Prediction Markets, While Asian Nations Still View Them as Gambling

This article examines the rise of prediction markets, contrasting their growing institutional acceptance in the West with their restrictive regulation in Asia. It details how prediction markets, which originated from informal political betting and academic experiments like the Iowa Electronic Market, aggregate crowd wisdom into probabilistic prices through binary contracts. Their growth accelerated around 2020, reaching over $14 billion in monthly volume. A key driver is the "skin in the game" principle, where users risk their own capital, leading to high accuracy in predicting events like Fed rate decisions and elections, as demonstrated by platforms like Polymarket. Meta's entry, with Mark Zuckerberg reportedly leading the development of the Arena app, signals the market's maturation. In the U.S., court rulings have distinguished prediction markets from gambling, facilitating entry by traditional financial institutions. However, most Asian jurisdictions still classify them as gambling, focusing on social control rather than financial innovation. The article argues this stance creates three problems for Asia: 1) regulatory arbitrage pushes users to riskier offshore platforms, 2) loss of sovereign information infrastructure as valuable social sentiment data accumulates abroad, and 3) abandonment of user protection. It concludes that Asia needs a policy shift from prohibition to constructive regulation, integrating these markets into the formal system to harness their data as a national asset, as initiatives like Limitless Research are beginning to do.

marsbit39 dk önce

Tiger Research: Zuckerberg Begins Betting on Prediction Markets, While Asian Nations Still View Them as Gambling

marsbit39 dk önce

Ethereum's Next Decade in the Eyes of Vitalik

"Lean Ethereum" Long-Term Roadmap Unveiled by Vitalik Buterin On July 5, 2026, Vitalik Buterin published the "Lean Ethereum" roadmap, positioning it as Ethereum's third major evolution following the Merge. This multi-year, multi-phase upgrade aims to fundamentally transform Ethereum's core protocol through staged network upgrades extending to 2029. Key goals include achieving 1 gigagas per second L1 throughput (a massive increase from the current ~32 TPS), near-instant finality, and quantum-resistant cryptography. The plan involves transitioning Ethereum's security model from full transaction re-execution by all nodes to native verification via recursive STARK proofs. A major proposed change is replacing the EVM with a proof-friendly architecture like RISC-V or leanISA, though this remains a point of contention, especially with L2s like Arbitrum favoring alternatives like WASM. Other planned upgrades include a restructured state model with a large, cheap "warehouse" storage layer to drastically reduce fees for migrated applications, multi-dimensional gas pricing, and a new focus on making privacy a first-class, native protocol feature. While the roadmap significantly raises Ethereum's long-term technical ceiling, analysts note it does not directly address ETH's mid-term token economics or value capture. The plan's multi-year timeline means near-term price impact will likely depend on observable progress milestones, such as the successful deployment of the upcoming Glamsterdam gas limit increase, growth in L2 activity and blob usage, and trends in L1 fee revenue and ETH burn.

链捕手2 saat önce

Ethereum's Next Decade in the Eyes of Vitalik

链捕手2 saat önce

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

In just 11 days, Bun's founder Jarred Sumner used Anthropic's Claude AI models to rewrite its million lines of code from Zig to Rust. This move sparked significant controversy, particularly from Zig's creator, Andrew Kelley, who publicly criticized Sumner's engineering practices and the decision to use AI for such a massive rewrite. Bun, a high-performance JavaScript/TypeScript runtime and rival to Node.js, was originally written in Zig. After Anthropic acquired Bun, the team encountered persistent stability and memory safety bugs in the Zig codebase. These issues, combined with Zig's strict policy against LLM-generated code, led to the decision to rewrite in Rust. The rewrite was executed using Claude AI tools at an estimated API cost of $165,000, dramatically reducing the expected time and financial cost. Andrew Kelley's response was scathing. He blamed the original bugs on poor engineering habits, calling Bun's Zig code a collection of "hacks on top of hacks." He expressed relief that Bun was no longer associated with Zig, fearing it would misrepresent the language and attract low-quality, AI-generated contributions. The tech community is divided; some view Kelley's critique as unprofessional, while others see it as a defense of engineering integrity. A major concern about the AI-driven rewrite is the resulting code quality. The translation from Zig left approximately 27,000 lines of unsafe Rust code, raising fears about long-term maintainability and technical debt. The debate centers on whether this project is a milestone in AI-assisted development or a future maintenance nightmare.

marsbit3 saat önce

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

marsbit3 saat önce

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

From Auto Finance to Bitcoin and Now AI: Cango's "What Not to Do" Strategy Cango, a Chinese auto finance platform that went public on the NYSE in 2018, is undergoing its third major transformation. After selling its entire auto business in 2024, it pivoted to become a large-scale Bitcoin miner, acquiring 50 exahash of mining rigs from Bitmain. However, its true goal was never Bitcoin, but owning and controlling energy infrastructure. Now, Cango is pivoting again. While most listed Bitcoin miners are leasing power to giant hyperscalers for AI training clusters, Cango is taking the opposite path. It has launched an AI inference subsidiary called EcoHash, focusing not on training but on distributed inference. The company's strategy hinges on the insight that over 70% of mining industry power is controlled by small, independent sites (10-50 MW), which are too small for hyperscalers but ideal for low-latency AI inference. Cango aims to partner with these small operators, providing the AI technology, customers, and financing through its EcoLink software layer, which can distribute workloads across sites for reliability. Cango maintains a hybrid model, running roughly 31.7 EH/s of Bitcoin mining for cash flow while aggressively cleaning its balance sheet—slashing long-term debt by 94.5% to $30.6 million and raising $75 million for its AI venture. Its first AI deployment will be at a 50 MW site in Georgia. The strategy faces skepticism, given the high costs of converting mining sites and the potential for an AI bubble. However, Cango's leadership believes discipline around "what not to do"—avoiding direct competition with hyperscalers in training—positions it to capture the long-tail demand for distributed AI inference power.

Foresight News3 saat önce

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

Foresight News3 saat önce

İşlemler

Spot
活动图片