Major Coins Plummet + Speculative Coins Dance Wildly, ETH Breaks Below 3000, XRP Crashes to 1.9, RATS Buying Opportunity + MERL Shorting Opportunity Both Emerge

金色财经Pubblicato 2025-12-16Pubblicato ultima volta 2025-12-16

Introduzione

The cryptocurrency market is experiencing a sharp divergence. Major coins like ETH and XRP are declining sharply, while some altcoins show volatile, mixed performances. ETH dropped over 5%, breaking below the key $3,000 support and falling to around $2,916. It faces resistance at $2,980, $3,050, and $3,080. If the downtrend continues, support levels to watch are $2,950, $2,920, $2,880, and $2,800. Technical indicators like MACD and RSI suggest bearish momentum remains. XRP broke below $1.95, with its price falling to around $1.855. Key resistance levels are at $1.90, $1.92, and $1.95. If it fails to rebound, further decline toward $1.82 or even $1.765 is possible. In contrast, RATS shows strength with three consecutive bullish daily candles, forming a W-pattern. A pullback to around $0.000035 may present a buying opportunity, with a potential rise toward $0.00005. MERL surged 17%, possibly due to low-liquidity manipulation. A short position around $0.46-$0.48 is suggested, with downside targets at $0.40 or even $0.35. ASTER dipped to $0.765 but quickly recovered. It may be forming a descending wedge—wait for a clearer bottom signal before entering. FOLKS shows a pump-and-dump pattern, with a gradual decline after a sharp rise. A low-leverage long-term short position could be profitable. Overall, major coins like ETH and XRP remain bearish short-term. RATS offers a potential long opportunity on dips, while MERL and FOLKS may be suited for short strategies. ASTER require...

The crypto space is experiencing "polar opposites" again! ETH and XRP are diving along with Bitcoin, while some altcoins are surging wildly and others are setting traps. Let's break it down one by one to avoid pitfalls and seize opportunities~Free group access +Q:3260353596

? ETH: Drops 5%, Breaks Below 3000! $2920 Becomes the Lifeline

Ethereum really couldn't hold up this time. After failing to defend $3150, it plunged straight down, breaking through the $3120, $3050, and $3000 support levels, hitting a low of $2916. It's now hovering below $3000 and has fallen below the 100-hour moving average. The bearish momentum is strong.

Want a rebound? It must first break through 3 hurdles:

First hurdle: $2980, any minor rise might face resistance here;

Second hurdle: $3050 (the 50% retracement level of the previous decline);

The tough one is $3080. Only a break above this could target $3120 and $3175.

If the rebound fails, watch these support levels closely: $2950→$2920→$2880→$2800. If $2920 doesn't hold, a deeper decline is highly probable. Technical indicators are also weak: MACD is strengthening in the bearish zone, RSI is below 50, and the downward momentum hasn't stopped.

? XRP: Crashes Through 1.95! $1.85 Hangs by a Thread

XRP just attempted a rebound at $2.02 but was immediately beaten back down, breaking below $2.00 and $1.95, hitting a low of $1.855. It now can't even hold $1.90 or the 100-hour moving average. A bearish trendline has formed on the hourly chart, with resistance pressing down at $1.980.

Key levels for a rebound are: $1.90→$1.92→$1.95. Only by stabilizing above $1.92 is there hope to charge towards $1.98 and $2.05. If it can't break above $1.90, watch the support level at $1.855 closely. A break below that targets $1.82 and $1.765. MACD is accelerating in the bearish zone, RSI is below 50, short-term bias remains bearish.Free group access +Q:3260353596

? RATS: 3 Consecutive Green Candles, Strong Rise! Buy Opportunity Around 0.000035

Contrary to the major coins, RATS has been strengthening against the trend recently, with 3 consecutive green daily candles and a W-bottom pattern forming. MACD is above the zero axis, and momentum is increasing. It's highly likely to fill the upper wick next and challenge the resistance around $0.00005.

Trading suggestion: On a short-term pullback to around $0.000035, those who like trading swings can buy spot with a small position. Take profit near $0.00005. Good risk-reward ratio~Free group access +Q:3260353596

⚠️ MERL: Hard Pump of 17% Luring Bulls! Short on Rallies at 0.46-0.48

MERL's move is too obvious – a 17% pump in 24 hours to $0.48, now struggling around $0.46-$0.47. This is purely the whales pumping in a low liquidity window to trap bulls.

I'm bearish! The likely script is "expected selling pressure → slow grinding bottom → panic dump". I suggest shorting on rallies near $0.46-$0.48 directly. Don't wait for the whales to paint a big green candle to lure the last batch of bulls. Short-term target first at $0.4, a drop to $0.35 is also possible.Free group access +Q:3260353596

? ASTER: Wicked Down to 0.765 and Recovered! Wait for Buying Opportunity

ASTER wicked down to $0.765 and immediately recovered,正好踩在 0.618 Fib level (though opening wicks have limited reference value). It now looks like it might be forming a falling wedge. Need to observe if the base is stable.

Those not in yet, don't rush. No need to chase the high. Wait to buy near the bottom before acting. Adjust strategy随时 as needed to avoid getting trapped by wicks.

? FOLKS: Pump then Grind Down! Low Leverage Long-term Short Opportunity

FOLKS is truly "heaven one moment, hell the next". After a sharp pump, it started grinding down relentlessly. Many new contract coins play this trick.

Trading suggestion: After the top appears, you can go short with low leverage for the long term. If you can hold, the returns could be high! Once this grinding downtrend forms, it's hard to reverse短期内. Don't worry about missing out.Free group access +Q:3260353596

Summary: ETH, XRP are short-term bearish, watch key support levels and don't blindly buy the dip; RATS can be bought on pullbacks, MERL is a suggested short, ASTER watch and wait, FOLKS suitable for low leverage long shorts. The crypto space is severely fragmented right now. Don't be greedy, focus on 1-2 targets~

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Domande pertinenti

QWhat are the key resistance levels for ETH to watch for a potential rebound according to the article?

AThe key resistance levels for ETH are $2980 (first level), $3050 (50% retracement of the previous decline), and $3080. A break above $3080 could push the price toward $3120 and $3175.

QWhy does the article suggest a short opportunity for MERL around $0.46-$0.48?

AThe article suggests shorting MERL because it believes the 17% pump to $0.48 was a low-liquidity manipulation by whales to lure in buyers, and it expects a pattern of 'expected selling pressure → slow grinding bottom → panic sell-off' to follow.

QWhat pattern did RATS form that indicates a potential rise to $0.00005?

ARATS formed a 'W-bottom' pattern on the daily chart and showed three consecutive bullish candles, with the MACD moving above the zero axis, indicating strong momentum and a potential rise to the $0.00005 resistance level.

QWhat is the critical support level for XRP that, if broken, could lead to further decline?

AThe critical support level for XRP is $1.855. If this level is broken, the price could fall further toward $1.82 and then $1.765.

QWhat trading strategy does the article recommend for FOLKS after its pump and subsequent decline?

AThe article recommends a low-leverage, long-term short position for FOLKS after its pump, as it believes the consistent downtrend is unlikely to reverse quickly, making it a high-potential profit opportunity for patient traders.

Letture associate

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbit2 min fa

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

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S&P Dow Jones and Pantera Launch Crypto Index, Excluding Bitcoin for "Not Making Money"

S&P Dow Jones Indices and Pantera Capital have launched the S&P Pantera Digital Asset Index, a benchmark that excludes Bitcoin and meme coins like XRP. The index adopts a fundamental screening framework inspired by the S&P 500, requiring constituent tokens to demonstrate positive protocol revenue over multiple quarters, verified by on-chain data, and a clear mechanism for distributing value to token holders. This "financial viability" test is cited as the reason for Bitcoin's exclusion, as it does not generate protocol revenue. The index currently includes 18 assets, with Ethereum (ETH), BNB, Solana (SOL), Tron (TRX), and Hyperliquid (HYPE) as its top five holdings. While initially serving as a benchmark, discussions are underway with asset managers to develop associated ETFs and investment products. Pantera argues the index addresses an institutional product gap, offering a way to evaluate crypto assets based on utility and earnings rather than just market capitalization.

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S&P Dow Jones and Pantera Launch Crypto Index, Excluding Bitcoin for "Not Making Money"

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Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

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Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

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Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

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Bitcoin, XRP left out – The S&P Digital Asset Index shows crypto’s biggest shift yet

Pantera Capital and S&P Dow Jones Indices have launched the S&P Digital Asset Index, a basket of 18 cryptocurrencies focused on fundamental strength. Notably, Bitcoin and XRP are excluded from the initial confirmed assets, which include Ethereum, BNB, Solana, Hyperliquid, and Tron. This selection highlights a potential market shift, prioritizing Layer-1 networks with proven scalability, utility, and sustainable on-chain revenue—reportedly $3 billion annualized in the past six months—over mere market capitalization. Analysts suggest this "fundamental index for crypto" could guide institutional capital toward assets with real economic activity, possibly leading to a significant divergence in the next market cycle where fundamentals, not just price momentum, drive investment.

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309 Totale visualizzazioniPubblicato il 2024.12.12Aggiornato il 2026.06.02

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