Weekly Editor's Picks (1213-1219)

marsbitPublished on 2025-12-20Last updated on 2025-12-20

Abstract

Weekly Editor's Picks (Dec 13-19) by Odaily Planet Daily highlights key developments and insights in crypto. Institutional investors are becoming major crypto buyers, while real-world assets (RWAs) and stablecoins gain traction as key asset classes. Layer-2 networks are consolidating, and AI is evolving from hype to infrastructure. The industry is moving from "fat apps" to "fat distribution," emphasizing integration and user access. In policy, S&P and Tether clash over risk frameworks, with Tether shifting toward a "shadow central bank" model using gold, BTC, and treasuries. Prediction markets face structural challenges for leverage due to binary outcomes. Bitcoin miners are transitioning to data centers due to rising costs. Solana ecosystem shows progress with 49 updates from Breakpoint. Hyperliquid introduces portfolio margin for better capital efficiency. Web3's entry point is shifting toward wallets, not social apps, driven by asset management needs. Security highlights include $2B in crypto lost annually due to lack of inheritance plans, with a proposed three-step solution. Weekly updates cover SEC guidance, Hong Kong listings, Trump’s pro-crypto impact, and major hacks, including 0G Foundation losing 520k tokens.

"Weekly Editor's Picks" is a functional column of Odaily Planet Daily. While Planet Daily covers a large number of instant news every week, it also publishes many high-quality in-depth analysis articles, but they may be hidden in the information flow and hot news, passing you by.

Therefore, our editorial department will select some high-quality articles worth spending time reading and collecting from the content published in the past 7 days every Saturday. From the perspectives of data analysis, industry judgment, and opinion output, we aim to bring new inspiration to you in the crypto world.

Now, let's read together:

Investment and Entrepreneurship

Crypto Coming of Age: 2025, The Restructuring of Institutions, Assets, and Regulation

Institutions become the marginal buyers of crypto assets.

Real World Assets (RWAs) evolve from a narrative concept to an asset class.

Stablecoins become both a "killer app" and a systemic vulnerability.

Layer 2 networks (L2) consolidate into a "winner-takes-all" landscape.

Prediction markets evolve from toy applications to financial infrastructure.

Artificial Intelligence & Crypto (AI × Crypto) shifts from hype narrative to actual infrastructure.

Launchpads industrialize, becoming internet capital markets.

Tokens with high Fully Diluted Valuation (FDV) and low circulating supply prove to be structurally uninvestable.

Information Finance (InfoFi) experiences boom, inflation, and then collapse.

Consumer crypto returns to the mainstream, but through Neobanks rather than Web3 applications.

Regulation gradually normalizes globally.

"Fat Apps" Are Dead, Welcome to the Era of "Fat Distribution"

Previously, the crypto industry invested excessive resources in infrastructure and technological optimization.

By 2025, the industry has officially entered a new stage: cryptocurrency applications themselves have become replaceable, standardized products.

Integration and cooperation will ultimately win out, distribution channels will ultimately win out, front-end interfaces will ultimately win out; while crypto applications will merely become simple traffic pipes.

Tiger Research: Is Now the Time to Buy?

Buy in batches, set strict stop-losses.

Five Meme Coins Soar Against the Market Trend, Who is the Next Potential Coin?

PIPPIN, FOLKS, BEAT, AIA, RAVE.

Also Recommended:

From Hype to Pull, A Sharp Commentary on 21 Mainstream Crypto Narratives in 2025

Grayscale Decrypts 2026: Ten Trends Reshaping the Industry Ecosystem

Starting with a16z's Asian Retreat: The Twilight of the VC Empire and the New Kings

The Year of M&A Devouring: 2025 Web3 Giants' Ecosystem Restructuring and Power Reshuffle

Crypto Money Printer Wants to Acquire Juventus: The Offensive and Defensive Battle Between Europe's Old and New Money

Policy and Stablecoins

USDT Rating Controversy: S&P's "Ruler of Stability", Tether's "Market Debate", and the Transformation into a "Shadow Central Bank"

The essence of the divergence between S&P and Tether: Traditional finance's risk perception prioritizes "solvency", focusing on "reserve liquidation capacity under extreme runs"; while Tether focuses on "market liquidity priority" and long-term value preservation and risk resistance (especially inflation risk). The two measure risk from completely different dimensions.

The strategic intent behind Tether's reserve transformation: Tether's reserve model is shifting from "1:1" cash-equivalent reserves to a hybrid model of "hard assets (gold) + digital assets (BTC) + low-risk assets (US Treasuries)". Essentially, this is a transformation from a "stablecoin issuer" to a "global liquidity provider + digital asset reserve institution". The core drivers include inflation hedging demand, pro-cyclical yield enhancement (e.g., the predicted 2025 BTC/gold bull market), and de-dollarization布局. In fact, Tether is becoming more like a "shadow central bank" than a simple stablecoin issuer.

USDT's short-term risks and long-term trends: USDT's peg stability is still supported by on-chain liquidity. However, in the short term, the 24% of high-volatility assets (BTC/gold/loans) in the reserves may expose risks during the 2026 interest rate cut cycle and a potential crypto bear market (In 2025, Tether's book showed huge floating profits due to holding gold and Bitcoin reserves; however, the situation may change in 2026). In the long term, the "central bankization" trend of stablecoins (inflation-resistant assets + global network + energy) will push the industry towards "transparency + standardization".

Prediction Markets

After Researching How to Apply Leverage to Prediction Markets, I Found This Problem Almost Unsolvable

Prediction markets have three characteristics completely different from spot trading or perpetual contracts: a clear upper limit, a lower limit of 0, and binary outcomes that are confirmed instantly.

The key premise for leverage to work on conventional assets is that the price change of the asset is continuous. Prediction markets, however, experience price jumps.

Airdrop Opportunities and Interaction Guides

Overview of Recent Developments in Popular Perp DEXs, Find the Best Way for You to Participate

Popular Interaction Collection | Cascade Early Access Application; OpenMind Adds Badge Tasks (December 17)

Step-by-Step Guide to Participating in predict.fun, Supported by CZ

Interaction Tutorial | Total Prize Pool of $1 Million, Jupiter Launches Trading Card Collection Activity

Bitcoin

Bitcoin Miners Are Abandoning "Mining" for "Cloud"

Bitcoin mining revenue is unstable, while costs continue to rise, making the core business model unsustainable.

Mining companies are beginning to use their existing sites and infrastructure to rent out data center space to large tech companies.

This transformation alleviates恶性竞争 and helps improve the health and stability of the entire industry.

Multi-Ecosystem and Cross-Chain

Complete Recap of Abu Dhabi Breakpoint: 49 Key Developments in the Solana Ecosystem

Complete Recap of Solana Hackathon Grand Prize Projects: The Industry's Handpicked Seeds

CeFi & DeFi

Hyperliquid "Portfolio Margin" Launches: Targeting Traditional Finance's $7 Trillion Incremental Script

Hyperliquid launching Portfolio Margin is revolutionizing the account system of on-chain derivatives, significantly improving capital efficiency, and meeting the demand of large-scale institutional funds.

Web3 & AI

$180 Million in Experience and Lessons: The Current Entry Point to Web3 is Not Social, But Wallets

The core of Web3 is value interaction rather than information transmission. The primary need for users entering the ecosystem is to manage digital assets and complete on-chain activities. Giants are competing fiercely in the wallet赛道.

The Web3 entry point has shifted from CEX (early stage) to wallets (after the DeFi explosion) and now to the combination of AI and wallets.

Security

Death is the Largest "Buyer" of Cryptocurrency

Conservative estimates suggest that about $2 billion in crypto assets exit circulation annually due to lack of inheritance.

The article introduces a simple three-step inheritance method (thought up like a detective fan), which is easy to remember, difficult to crack, accessible anytime and anywhere, and guarantees 100% non-custodial (i.e., no reliance on intermediaries):

Build a dedicated single-page website → Encrypt and convert the seed phrase into a digital string → Upload the digital string to the dedicated website.

Weekly Hotspot Recap

In the past week, the U.S. SEC issued a "Statement on Broker-Dealer Custody of Crypto Asset Securities", released crypto asset custody guidelines, systematically梳理 wallet types and main risks; HashKey listed on the Hong Kong Stock Exchange (first-day observations); Ripple, Circle, BitGo, and five other crypto companies approved to become trust banks (interpretation);

Additionally, in terms of policy and macro markets, SEC Chairman Paul Atkins warned that cryptocurrency could become a financial surveillance tool; U.S. Treasury Secretary Besant: Expects macroeconomic提振 in Q1 2026;

In terms of views and statements, Bitfinex Alpha report: 2026 Will Be the Year of Liquidity, Crypto ETP AUM May Exceed $400 Billion; Bitwise Releases Top 10 Predictions for the 2026 Crypto Market: The Bull Market Will Continue, Bitcoin Will Set New Highs; 10x Research: Everyone is Bullish on 2026, But the Data Doesn't Support This View; Twenty One Capital CEO: Shorting the USD and Longing BTC is Part of the Company's Business; Delphi Digital: Cryptocurrency is No Longer the Only Investment Choice, Crypto Concept Stocks are Creating a吸血 Effect on Altcoins; Trump's "Embrace of Crypto" Reshapes U.S. Stock Structure, But High Volatility Risks are Spreading to Traditional Stock Markets; a16z Crypto Calls on U.S. CFTC to Quickly Clarify Blockchain Protocol and Application Rules; Moonrock Founder: Bullish on the Application Layer, Bearish on Infrastructure; CBB: Altseason is Approaching, Governance Tokens are the Future; U.S. SEC Has Ended Its Investigation into the Aave Protocol; Aave Founder: Next Year's Three Strategic Pillars are Aave V4, Horizon, and the Aave App; Multicoin联创: Ethereum Was My Crypto Guide, Source of First Pot of Gold, and the Fastest Asset in History to Reach a $100 Billion Market Cap, But I Abandoned It in 2017; Uniswap Founder: Uniswap Unification Proposal Submitted for Final Governance Vote, 100 Million UNI to Be Burned if Passed; Circle's Acquisition of Axelar Sparks Controversy;

In terms of institutions, large companies, and leading projects, Nasdaq Plans to Extend Stock and ETP Trading Hours to 23 Hours; Securitize to Launch "Real" Not "Synthetic" Stocks On-Chain, with Full Shareholder Rights; JPMorgan to Launch First Tokenized Money Market Fund on Ethereum, Injecting $100 Million as Startup Capital; Visa Announces Launch of Stablecoin Advisory Services; Strategy Security Passes Nasdaq 100 Index Adjustment, But Still Faces MSCI Exclusion Risk; Binance Releases Project Listing Path Framework and Application Guide; Stablecoin U Launches: Lands on BNB Chain and Ethereum, Integrates with Mainstream DeFi Protocols like PancakeSwap, ListaDAO, Listed on Centralized Exchange HTX; Binance Wallet Launches Web3 Lending Function, Integrates Venus Protocol; Binance Introduces Pay and Regular Withdrawal Send Function; Tether Launches Peer-to-Peer Password Manager PearPass; MetaMask Supports Fiat Purchases of Bitcoin; Kalshi CEO: Kalshi Officially Opens Combos Function, Daily Trading Volume Reaches $340 Million, Setting a Historical Record; WLFI Releases Governance Proposal: Proposes Using Part of Unlocked Treasury Funds to Incentivize USD1 Adoption; RateX Reveals Token Economic Model, First Season Airdrop 6.66%; Canaan Technology Announces $30 Million Stock Repurchase Plan;

Data-wise, Ethereum and L2 network lending revenue accounts for about 90% of total crypto market revenue; North Korean Hackers Stole $2.02 Billion in Cryptocurrency in 2025, Setting a New Record; Juventus Stock Rises Nearly 14% After Rejecting Tether's Acquisition Offer, Juventus Fan Token JUV Plummets Over 13%;

Security-wise, 0G Foundation: Contract Attacked, Resulting in 520,000 0G Stolen......Well, another rollercoaster week.

Attached is the portal to the "Weekly Editor's Picks" series.

See you next issue~

Trending Cryptos

Related Questions

QWhat are the key trends in the crypto industry for 2025 according to the 'Crypto Coming of Age' section?

AKey trends for 2025 include institutions becoming marginal buyers of crypto assets, Real World Assets (RWAs) evolving into an asset class, stablecoins being both a 'killer app' and a systemic vulnerability, L2 networks consolidating into a 'winner-takes-all' landscape, prediction markets maturing into financial infrastructure, AI x Crypto transitioning from hype to practical infrastructure, launchpads industrializing into internet capital markets, high-FDV/low-float tokens proving structurally uninvestable, InfoFi booming and then collapsing, consumer crypto returning via neobanks, and global regulation normalizing.

QWhat is the core strategic shift in Tether's reserve model as discussed in the 'Policy & Stablecoins' section?

ATether is shifting its reserve model from '1:1' cash-equivalent reserves to a hybrid model of 'hard assets (gold) + digital assets (BTC) + low-risk assets (US Treasuries)'. This represents a strategic transformation from a stablecoin issuer to a 'global liquidity provider + digital asset reserve institution', driven by inflation hedging needs, pro-cyclical yield enhancement, and de-dollarization布局.

QWhy is applying leverage particularly challenging in prediction markets, as explained in the article?

ALeverage is challenging in prediction markets because they have three distinct features: a clear upper price limit, a lower limit of zero, and binary outcomes that are confirmed instantly. The key prerequisite for leverage in conventional assets—continuous price changes—does not apply, as prediction market prices move in jumps.

QWhat major trend is identified regarding Bitcoin miners in the 'Bitcoin' section?

ABitcoin miners are transitioning 'from mining to cloud' services. Due to unstable mining income and persistently high costs, their core business model is becoming unsustainable. Miners are now leveraging their existing facilities and infrastructure to rent out data center space to large tech companies, a shift that alleviates恶性竞争 and improves the industry's overall health and stability.

QAccording to the 'Web3 & AI' section, what is the current primary entry point for users into the Web3 ecosystem?

AThe current primary entry point for users into the Web3 ecosystem is the wallet, not social applications. This is because the core of Web3 is value interaction rather than information transfer, and the user's primary need is to manage digital assets and conduct on-chain activities. Major companies are competing in the wallet sector, and the entry point is evolving from CEXs to wallets, and now towards a combination of AI and wallets.

Related Reads

From Gold to Bitcoin: Fixed Supply + Institutional Frenzy, Might It Repeat the 'Explosive' Price Trend?

"From Gold to Bitcoin: Fixed Supply and Institutional Frenzy May Lead to 'Explosive' Price Rally Analysts suggest Bitcoin's price action could mirror gold's over the past two decades, following the launch of spot Bitcoin ETFs. Gold ETFs, introduced in 2004, drove gold's price surge to a current market cap near $28 trillion. Both gold and Bitcoin are non-yielding stores of value, with prices driven purely by investor sentiment rather than cash flows or credit. Gold ETFs experienced dramatic cycles: explosive growth, painful drawdowns, and slow recoveries, with each cycle reaching higher peaks. Bitcoin ETFs, approved in early 2024, saw rapid institutional adoption but are now facing similar volatility. Recent warnings highlight the risk of significant ETF outflows disrupting the current rebound. BlackRock's IBIT, a leading Bitcoin ETF, has sold nearly 100,000 BTC to meet redemptions while still holding over 733,000. The core parallel is fixed supply: when demand surges, prices explode, but demand is often volatile and wave-like, not steady. Institutional interest, through ETFs and corporate adoption, remains a key support pillar, helping to cushion sell-offs. If Bitcoin captures even a fraction of gold's role as a store of value, its upside potential is immense, though the path will be marked by high volatility. For investors, focusing on long-term trends and managing risk is crucial as this 'price explosion' narrative unfolds."

Foresight News3m ago

From Gold to Bitcoin: Fixed Supply + Institutional Frenzy, Might It Repeat the 'Explosive' Price Trend?

Foresight News3m ago

Why Is AI Agent Shopping Hard to Popularize?

The article argues that the popular narrative of "AI agent shopping" – equipping AI with a wallet to autonomously handle purchases – is fundamentally flawed and oversimplifies the complexity of shopping. It deconstructs shopping into two core actions: **information retrieval** (standardized, easily automated) and **value judgment** (deeply subjective and human-centric). The narrative mistakenly assumes AI can fully handle both. Value judgment itself has two layers: **evaluation** (assessing options against criteria) and **demand definition** (setting the criteria, weights, and values). The latter is inherently human and dynamic, as preferences are not fixed but constructed during the decision-making process ("constructive preferences"). The real dividing line for automation is not product standardization, but whether the **act of choosing** itself holds experiential value. For mundane purchases (e.g., printer paper), full AI delegation works. For experiential goods (e.g., wine, furniture), the joy of selection is core to consumption, so AI should act as an assistant that narrows options, leaving the final choice to humans. The "AI wallet" concept confuses three separate elements: decision-making, execution, and fund custody. Current payment industry solutions (e.g., from Stripe, Mastercard, Google, Visa) show that limited, scoped payment authorization tokens are sufficient for most consumer scenarios, not full fund custody. The true use case for autonomous AI wallets is in **B2B procurement** and **machine-to-machine (M2M) settlements** for standardized, high-frequency, low-value transactions. The real bottlenecks for AI shopping are not payment technology, but **1) the lack of trusted data sources** (e.g., fake reviews, counterfeit goods) and **2) the impossibility of automating human demand definition**. The conclusion is that the focus should be on safely automating the assessment and filtering process while reserving for humans the rights to define their criteria and enjoy the final act of choice. For experiential goods, the platform's competitive advantage shifts to providing a superior selection experience.

Foresight News1h ago

Why Is AI Agent Shopping Hard to Popularize?

Foresight News1h ago

After Nine Months of Shorting, a Full Turn to Long: Renowned Trader Opens Bitcoin Positions Around 64K, Crypto Market Long-Short Divergence Intensifies

After nine months of being short, prominent crypto trader Doctor Profit has closed all his bearish positions and started buying Bitcoin near $64,000, signaling a complete bullish reversal. He argues that structural market changes—such as impending U.S. regulation (CLARITY Act) and institutional adoption via securities tokenization—are rewriting the traditional four-year cycle script, potentially bringing the market bottom forward from the widely expected September/October timeframe. This view finds some technical support from on-chain analyst gumsays, who notes a bullish divergence on Bitcoin's weekly chart has persisted for 147 days, nearing the 161-day duration seen before the 2022 cycle low. However, cycle researcher Jake Pahor presents a counter-argument based on historical data. Analyzing patterns since 2014, he identifies three common features of past bear market bottoms: a ~12-month duration from peak to trough, a sustained period of extreme fear (with a proprietary risk score below 20), and the price falling below Bitcoin's realized price (~$53,000 currently). The current cycle, only nine months from its October 2025 peak, meets none of these conditions. The debate highlights a market torn between "front-running" a potential early bottom driven by new fundamentals and waiting for confirmation through traditional on-chain and sentiment metrics. While Doctor Profit opts for aggressive buying, Pahor maintains a disciplined, tiered accumulation strategy, continuing weekly buys at current risk levels but reserving larger orders for if more extreme fear emerges.

marsbit1h ago

After Nine Months of Shorting, a Full Turn to Long: Renowned Trader Opens Bitcoin Positions Around 64K, Crypto Market Long-Short Divergence Intensifies

marsbit1h ago

Senior Trader's Confession: How to Trade Market's False Expectations?

Veteran trader's case study: trading the market's "wrong expectations". This trade centered on a textbook "expectation error" after a weak CPI report. While the market initially priced in broad monetary easing (sending Nasdaq to 30,060), the crucial 30-year real yield hit a 20-year high. This signaled a fractured transmission mechanism: short-term rates eased, but long-term funding costs (vital for tech valuations) refused to fall. The trader executed five short positions on the Nasdaq (NQ) as it fell from 30,060 to 28,768. The core methodology: don't just trade the data, but analyze the market's implied causal chain and identify where it breaks. In this case, the chain was: Weak CPI → Policy Easing → Lower Long-Term Funding Costs → NQ Valuation Expansion. The break occurred between policy easing and long-term rates. The "veto variable" – long-term real yields – refused to confirm the bullish narrative. Trades were structured around "fast variables" (price) temporarily repairing while "slow variables" (funding conditions) remained broken. The article outlines a repeatable framework: 1) Map the market's implied causal chain. 2) Identify the veto variable. 3) Observe if it rejects the narrative. 4) Enter when price still follows the old script. 5) Choose the cleanest asset expression (e.g., short NQ, not broad S&P). 6) Define both invalidation and fulfillment exit conditions. The key insight: Alpha often comes not from an information edge, but from a "reaction function edge" – recognizing when the market is applying an outdated causal logic to new data. The critical question: What causal chain is the market's first reaction relying on, and is that chain still valid today?

marsbit1h ago

Senior Trader's Confession: How to Trade Market's False Expectations?

marsbit1h ago

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