Crypto Watchlist: Key Events To Watch In The Week Ahead

bitcoinistPubblicato 2025-12-09Pubblicato ultima volta 2025-12-09

Introduzione

The coming week (Dec 10-12) is packed with key events for crypto markets. The Federal Reserve's FOMC decision on Dec 10 is the major macro catalyst, with an expected 25 bps rate cut that could boost crypto liquidity and risk appetite. Solana’s Breakpoint conference (Dec 11-13) may drive volatility for SOL, as past events have triggered significant price moves. Do Kwon’s sentencing on Dec 11 could bring closure to the Terra saga, though it may also prompt profit-taking. Bittensor’s first TAO halving around Dec 12 will cut daily issuance by 50%, echoing Bitcoin’s scarcity narrative. The SEC faces a deadline to decide on VanEck’s spot Avalanche ETF, with high expectations. Additionally, Aster’s accelerated token buyback program begins Dec 10, aiming to support its price. The total crypto market cap stood at $3.09 trillion.

The coming week concentrates macro and protocol-specific catalysts into a tight window, with the Federal Reserve’s FOMC decision and several high-profile project events landing between December 10 and 12.

#1 Crypto On Alert: Fed’s Dec. 10 Rate Decision

The US Federal Reserve’s FOMC interest rate decision on Dec. 10 looms as a key macro catalyst for crypto. Markets overwhelmingly expect a 25 bps rate cut – about an 87% probability according to Fed funds futures– which would lower the target rate to ~3.5–3.75%. Such a move would be the third cut in as many meetings, signaling a pivot to easing as the Fed prioritizes a faltering job market over inflation.

Bitcoin (BTC) has historically reacted sharply to Fed surprises: BTC often faces downward pressure into FOMC announcements, then significant volatility as markets parse the Fed’s language. Indeed, ahead of this meeting, BTC dipped below $88,000 over the weekend on “FOMC nerves” but quickly jumped back above $91,000.

If the Fed delivers the expected 0.25% cut, it could bolster crypto by improving liquidity conditions and risk appetite. Easing financial conditions have been core to the recent crypto rebound. Any dovish signals may prompt a relief rally in BTC and the broader crypto market.

However, a hawkish surprise – if the Fed were to hold rates steady or sound cautious – risks upsetting this fragile optimism. As reported on NewsBTC, a special focus will be on whether the Fed announces a new program for Treasury bill purchases.

#2 Solana’s Breakpoint (Dec. 11–13)

Solana’s Breakpoint conference kicks off Dec. 11 in Abu Dhabi, and traders are eyeing SOL’s price action around this flagship event. Breakpoint has a track record of stirring excitement – and volatility – in SOL. At the 2023 conference in Amsterdam, for example, SOL surged over 20% to a 14-month high (~$45) as a “flurry of announcements” (like Jump Crypto’s Firedancer client and Google Cloud integrations) dropped during the event.

This year, investors are anticipating major updates once again. The full launch of Firedancer (a high-performance Solana validator) and new ecosystem partnerships are rumored, and Breakpoint acts on investors like a magnet, usually triggering strong FOMO ahead of anticipated news.

If Solana’s team delivers headline-worthy developments, SOL could rally, as happened last year when announcements at Breakpoint corresponded with a price spike. Conversely, if the conference hype fades without new catalysts, short-term traders might take profit. Still, sentiment is clearly bullish going in.

#3 Do Kwon Sentencing (Dec. 11)

The long-awaited sentencing of Terraform Labs co-founder Do Kwon on Dec. 11 could mark a climactic chapter in the Terra/Luna saga. Kwon’s legal fate is largely sealed after he pleaded guilty to fraud in August, but the severity of punishment matters for the market psyche.

US prosecutors have asked for the maximum 12-year prison term for Kwon’s role in the $40 billion Terra meltdown. Paradoxically, traders have taken this bad news as bullish fuel: when the DOJ’s 12-year recommendation hit headlines, LUNC spiked 130% in a day, suggesting speculators see a tough sentence as a form of closure.

The actual sentencing on Dec. 11 could thus be a “sell the news” moment if those gains are purely hype-driven. Any outcome within expectations may prompt profit-taking after the event.

#4 Bittensor’s First TAO Halving (Dec. 12)

Bittensor (TAO), an AI-focused blockchain network, will undergo its inaugural token halving around Dec. 12–14, a pivotal event that echoes Bitcoin’s quadrennial cycle. After this “maturation milestone”, TAO’s issuance rate will be cut from 7,200 tokens per day to 3,600.

The halving cements Bittensor’s hard cap of 21 million TAO (just like BTC’s 21M) and is seen as a key milestone in the network’s maturation”. In the community, bulls have been hyping the “halving = scarcity” narrative for months – daily supply dropping 50% overnight is expected to “fuel scarcity narratives” and amplify TAO’s appeal as the base asset of a decentralized AI economy.

#5 Avalanche Spot ETF Decision

Avalanche (AVAX) could make history this week, as the US SEC faces a Dec. 12 deadline to approve or reject VanEck’s spot Avalanche ETF. This is the final decision date after multiple delays. Approval would mark one of the first mainstream investment vehicles for a “Ethereum-killer” layer-1 token, potentially unlocking new capital for AVAX.

Regulatory watchers are optimistic – Bloomberg ETF analysts Eric Balchunas and James Seyffart put the odds around 90% for approval. They argue that a spot AVAX fund would likely follow the path of recent Bitcoin and Ether ETFs.

#6 Aster’s S4 Buyback Program (Dec. 10)

Aster (ASTER), a DeFi protocol on BNB Chain, is commencing its Season 4 (S4) token buyback program on Dec. 10. Under this program, Aster will allocate 60–90% of all fees collected in Season 4 to buying back ASTER tokens from the open market.

This aggressive buyback scheme is designed to reduce supply and support the token’s price. In fact, the team announced it is accelerating the Phase 4 buybacks, with execution ramped up to roughly $4 million worth of ASTER purchases per day as of Dec. 8. Aster’s developers stated that this acceleration allows them to quickly deploy the fees accumulated since Nov. 10 onto the blockchain to prop up the market “during periods of volatility.”

By their estimates, it will take 8–10 days of these heightened buybacks to catch up, after which daily buybacks will continue at a steady 60–90% of the prior day’s fee revenue for the remainder of Season 4. A dedicated on-chain wallet for the buybacks is to be made public, ensuring transparency as the protocol executes what is essentially a large-scale, programmatic share (token) repurchase.

At press time, the total crypto market cap stood at $3.09 trillion.

Total crypto market cap holds above the 2021 high, 1-week chart | Source: TOTAL on TradingView.com

Crypto di tendenza

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After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

Following the withdrawal of Aave and a sharp drop in its Total Value Locked (TVL), the valuation of the high-performance DeFi blockchain MegaETH faces scrutiny. Once a highly anticipated project with a fully diluted valuation (FDV) reaching around $2 billion, MegaETH saw its TVL plummet from a May peak of $245 million to just over $30 million in July, a roughly 70% decline. Its native token, MEGA, currently trades around $0.048 with a market cap of approximately $54 million and an FDV of about $480 million. The report identifies a core vulnerability: MegaETH's TVL was heavily dependent on a single protocol, Aave V3, which at its peak contributed around 90% of the chain's TVL. A significant portion of this capital is attributed to leveraged yield-farming strategies involving stablecoins like USDe. When the profitability of these strategies diminished, capital rapidly exited, exposing the lack of diversified, sustainable activity. Three key mismatches between MegaETH's valuation and its fundamentals are highlighted: 1. **Valuation vs. Real Usage:** With an FDV of ~$4.8B but only ~$1M in annualized protocol revenue and ~2,600 daily active addresses, the valuation appears disconnected from current economic activity. 2. **Token Narrative vs. Ecosystem Reality:** Despite its DeFi narrative, nearly 80% of the chain's recent protocol revenue comes from a trading card game, Monster, not from core DeFi applications like Aave. The chain's native stablecoin, USDM, also shows low trading volume and a declining market cap. 3. **Short-Term Hype vs. Long-Term Delivery:** Initial hype from token generation, blue-chip integrations, and influencer support has faded. Major protocols like Uniswap now hold minimal TVL on the chain, indicating that early capital was largely transient and driven by incentives rather than organic demand. The situation reflects a broader market trend where investors are becoming less tolerant of valuations based on inflated TVL and narrative, demanding clearer evidence of sustainable transactions, revenue, and ecosystem development. While MEGA's price may experience short-term rebounds from market sentiment, a fundamental re-rating likely depends on the team's ability to convert its remaining resources into tangible, user-retaining applications and genuine ecosystem growth.

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After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

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Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: China's AI Models at an Inflection Point China's open-source/open-weight large language models (LLMs) have reached performance parity with top global proprietary models, according to a Goldman Sachs report. This is driven by architectural innovations and higher parameter efficiency, allowing Chinese models to achieve comparable capabilities at 2%-10% the parameter size and significantly lower cost. The market is evolving into a two-tiered structure: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with premium pricing and a low-end, price-sensitive segment for global SMEs and individual users. Key points: * **Cost & Performance:** Innovations like Mixture of Experts (MoE) enable high performance with smaller models. Projects like Meituan's LongCat 2.0, trained on domestic hardware, highlight progress in tech self-sufficiency. * **Open-Source Strategy:** Most Chinese players use open-source/open-weight models for flexibility and ecosystem growth. However, Goldman notes this may underreport actual deployment and revenue. A shift toward "open-weight + community license" models with revenue sharing (e.g., MiniMax) could improve monetization. * **Market Shift & Global Expansion:** Enterprise AI adoption is shifting from "token maximization" to "ROI-first." International expansion, especially in non-US markets, is a major growth driver. Chinese models are increasingly available on global platforms like AWS Bedrock and Microsoft Copilot. * **Competitive Landscape:** Using a framework based on pricing power, cost advantage, and financial strength, Goldman identifies **Zhipu AI and DeepSeek** as the strongest in foundational text models, and **ByteDance** as the leader in multimodal/video generation. The report maintains Buy ratings on MiniMax and Kuaishou. * **Market Growth:** China's AI model API and subscription revenue is projected to grow from an estimated ¥35 billion in 2026 to ¥879 billion by 2030.

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Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

marsbit1 h fa

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry? China's AI large model sector is at a historic inflection point. Goldman Sachs argues that the intelligence of Chinese open-source/open-weight models is approaching top global proprietary models. Rapid adoption by domestic enterprises and global SMEs is creating a data flywheel effect that will further drive model iteration. The evolution is summarized as moving from "DeepSeek's cost-efficiency moment last year to GLM's model-intelligence moment this year." Chinese models achieve near-state-of-the-art performance at significantly lower cost, primarily due to architectural innovations like Mixture of Experts (MoE) and higher parameter efficiency. Models like DeepSeek V4 Pro (1.6T params), GLM5.2 (0.7T), and MiniMax M3 (0.4T) are much smaller than global leaders. Recent advancements in coding capability are attributed to better data curation and RLHF. Landmarks like Meituan's LongCat 2.0, trained fully on domestic AI chips, demonstrate progress in hardware stack independence. The market is forming a "two-tiered structure." The high-end tier (e.g., GLM5.2, Alibaba's Qwen3.7 Max) prices around $1 per million tokens, about 10-25% of US top models, with estimated inference gross margins of 10-20%. The low-end tier (priced as low as $0.06-$0.2 per million tokens) targets price-sensitive global SMEs and individuals. MiniMax derives 60-70% of revenue overseas. Goldman forecasts China's AI model API/subscription revenue to grow from an estimated RMB 35bn in 2026 to RMB 879bn by 2030. Most Chinese players adopt open-source/open-weight strategies for deployment flexibility and community feedback, though this limits monetization as deployments on third-party platforms (e.g., Alibaba Cloud) may not generate direct revenue. A shift towards "open-weight + community license" models with revenue-sharing agreements (like MiniMax's approach) could improve unit economics. International expansion, particularly in non-US markets, is the key growth driver. The global enterprise AI paradigm is shifting from "token maximization" to "ROI prioritization." Chinese models are already hosted on major global platforms like AWS Bedrock and are under consideration for integration into Microsoft Copilot. Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman identifies the strongest players: In foundational text models, Zhipu AI (initiated coverage) and DeepSeek lead. In multimodal/video generation, ByteDance's Seed is the frontrunner, with Kuaishou's Kling and MiniMax's Hailuo also well-positioned. Goldman maintains a Buy rating on MiniMax, citing its attractive valuation.

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Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

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