Anonymous Cryptocurrency Dash Surges Nearly 70% in a Day

RBK-cryptoPubblicato 2026-01-13Pubblicato ultima volta 2026-01-13

Introduzione

The privacy-focused cryptocurrency Dash (DASH) surged nearly 70% in a single day on January 13th, with its price rising from $40 to a two-month high of $67. This rally mirrors a sharp price increase in another major privacy coin, Monero (XMR), which recently set a new all-time high. Originally launched in 2014, Dash was designed by creator Evan Duffield to be a more anonymous, faster, and cheaper payment method than Bitcoin. Despite the recent growth, Dash's current price of around $60 is still 96% below its all-time high of $1,642 set in December 2017. The article notes that while Dash and Zcash (another rising privacy token) offer optional privacy features, Monero has them enabled by default. Regardless, the entire sector is experiencing a significant boom, with trading volumes for privacy coins surging 37% in 24 hours to $5.4 billion. This growing interest exists despite increasing regulatory scrutiny from various countries, including a proposed ban on anonymous cryptocurrencies by Russia's central bank.

The anonymous cryptocurrency Dash (DASH) surged by 67% in just a few hours. According to Coinmarketcap, the price of the coin rose from $40 to $67 on January 13. This is the highest level in two months. In November of last year, the price of Dash reached these levels following its listing on the OKX cryptocurrency exchange.

Dash was launched 12 years ago—on January 18, 2014. Initially, the coin was called Xcoin; just 10 days after its launch, it was renamed Darkcoin, and a year later, it adopted its current name. Dash translates from English as "swift movement," and according to the developers, the name combines the words "digital" and "cash."

The creator of Dash, Evan Duffield, envisioned it as a payment method. He made it more anonymous, faster, and cheaper to use than Bitcoin. As of now, its market capitalization is $735 million, ranking it 76th among cryptocurrencies.

As of 5:00 PM Moscow time, Dash is trading around $60. Despite the significant growth, the cryptocurrency is trading 96% below its all-time high set eight years ago, in December 2017, at $1,642. After retreating from that record, Dash's price has mostly fluctuated within the $30-$100 range over the years, only rising to $400 during the peak of the 2021 bull market.

Dash mining operates on the SHA-256 algorithm (the same as Bitcoin). According to Bitinfocharts, the network's hash rate (computational power indicating miner activity) increased by 8% over the past 24 hours, reaching 2.59 PH/s, but it did not reach new highs. Two months ago, it was around 4 PH/s.

The rise of Dash followed a similarly sharp surge in another anonymous coin—Monero (XMR). On January 12, the price of the largest cryptocurrency in the privacy sector updated a record that had held for about five years. On January 13, XMR continued to rise and set a new all-time high of around $686. As of 5:00 PM Moscow time, the price of Monero corrected by 4%, with the coin trading around $658.

The rise of another anonymous cryptocurrency, Zcash (ZEC), has been actively discussed for several months. It had not seen growth for several years but surged by 300% in September 2025.

DASH and ZEC differ from Monero in that their privacy features are optional, while in XMR, privacy is built-in by default. However, regardless of this, in 2025, anonymous tokens unexpectedly outperformed the entire cryptocurrency market, and interest in them remains strong. In just the past 24 hours, the trading volume of privacy-focused cryptocurrencies increased by 37%, reaching $5.4 billion.

At the same time, regulators in various countries are imposing restrictions on the circulation of privacy-focused cryptocurrencies. At the end of last year, the Bank of Russia proposed a concept for regulating the cryptocurrency market, which includes a ban on the acquisition of anonymous coins, as it is impossible to track the movement of funds in them.

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Domande pertinenti

QWhat was the percentage increase in Dash's price on January 13th, and what was its price at the peak of that surge?

ADash's price increased by 67% on January 13th, reaching a peak of $67.

QWhat is the current market capitalization of Dash and what is its ranking among cryptocurrencies by this metric?

ADash's current market capitalization is $735 million, ranking it 76th among cryptocurrencies.

QHow does Dash's current price compare to its all-time high price from December 2017?

ADash's current price of around $60 is trading 96% below its all-time high of $1642, which was set in December 2017.

QWhat is the key difference in the privacy function between Monero (XMR) and Dash (DASH)/Zcash (ZEC)?

AThe key difference is that privacy is a built-in, default function in Monero (XMR), whereas it is an optional feature that users can choose to enable in Dash (DASH) and Zcash (ZEC).

QWhat reason did the Bank of Russia give for proposing a ban on the acquisition of anonymous coins?

AThe Bank of Russia proposed a ban because it is impossible to track the movement of funds in anonymous coins.

Letture associate

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

The US stock market experienced its most severe sell-off since the 2025 tariff crisis on June 5th, 2025. The Nasdaq Composite plummeted 4.18%, the S&P 500 fell 2.64%, and the Dow Jones dropped 695 points. The panic stemmed from three converging factors. First, Broadcom's earnings report ignited fears of a slowdown in AI growth. While its AI chip revenue surged 143% YoY to $10.8B, its Q3 AI revenue guidance of $16B fell short of the $17.2B consensus. This triggered a massive sector-wide sell-off, with the Philadelphia Semiconductor Index crashing 10.26% and semiconductor stocks losing roughly $1.3 trillion in market value in a single day. Second, a shockingly strong May jobs report crushed hopes for Federal Reserve rate cuts. Non-farm payrolls added 172,000 jobs, doubling expectations. This robust data, combined with persistently high oil prices above $92/barrel due to the ongoing Iran war and blockade of the Strait of Hormuz, drastically increased market expectations for a potential Fed rate hike instead of a cut. Higher interest rates compress the valuations of growth-heavy tech stocks. Third, the prolonged Iran conflict continues to fuel inflationary pressures, complicating the Fed's policy decisions and undermining the "inflation is tamed" narrative. Together, these events challenged the twin pillars of the market rally: the "limitless AI growth" story and expectations for imminent monetary easing. The sell-off spread globally, impacting Asian and European markets and cryptocurrencies. The article posits this is likely a severe "valuation repricing" rather than the end of the AI story. The underlying demand for AI remains strong, but investor expectations for growth speed and the prices they are willing to pay are being recalibrated. Key upcoming factors include the June FOMC meeting, future AI company earnings, and developments in the Iran conflict.

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From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals Prediction markets are playing a significant role in the 2026 NBA Finals, particularly around the New York Knicks' unexpected 2-0 series lead. Platforms like Kalshi and Polymarket have seen massive trading volumes, exceeding hundreds of millions of dollars on championship and related markets. Their influence extends beyond online trading. Kalshi's official partnership with Madison Square Garden has given it prominent physical branding at the arena. Furthermore, local businesses like The Jeffrey bar are using prediction market contracts to hedge the risk of game-result-based promotions, turning potential losses into manageable costs—a concept similar to the famous "Mattress Mack" strategy from traditional sports betting. These markets differentiate themselves by offering a wider, more entertainment-focused range of "event contracts" beyond typical game outcomes, such as predicting celebrity attendance. They also have broader accessibility across the U.S. compared to age- and location-restricted traditional sportsbooks. However, their rapid integration into sports raises regulatory and ethical questions. The NBA is cautiously engaging, discussing integrity frameworks with regulators like the CFTC. While the league permits minor investments like Giannis Antetokounmpo's stake in Kalshi, it advocates for strict rules to prevent insider trading. Many fans express concern on platforms like Reddit, fearing that the close ties between prediction markets, the league, and players could compromise the game's integrity. The NBA Finals has thus become a high-stakes testing ground, showcasing prediction markets' commercial potential while challenging traditional boundaries between financial trading, entertainment, and gambling.

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Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

The term "recursive self-improvement" (RSI), where AI improves itself autonomously, is gaining momentum in the AI industry. Startups like Recursive Superintelligence and projects such as Andrej Karpathy's Auto-Research aim to create systems where AI designs, implements, and validates its own research, moving toward superintelligence. While Google CEO Sundar Pichai cautions that such exponential acceleration is not yet a reality, progress is evident. For instance, Anthropic reported its Claude Code writes nearly 100% of the team's code, though it still lacks true self-direction. Analysts frame RSI development in stages: "adequacy" (systems functioning without humans), "parity" (matching human research quality), and "supremacy" (exceeding human-AI collaboration). Reaching parity could trigger rapid, unpredictable advancement due to AI's continuous operation. In China, companies like DeepSeek and Baidu incorporate self-optimization techniques without explicitly branding them as RSI, focusing on algorithmic efficiency and reinforcement learning. However, challenges remain, including "model collapse" from training on AI-generated data and the immense computational and open-collaboration requirements. Ultimately, RSI represents a trend of increasing automation in AI development, potentially reducing human oversight in the creation process itself.

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Come comprare DASH

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281 Totale visualizzazioniPubblicato il 2024.12.13Aggiornato il 2026.06.02

Come comprare DASH

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