Indepth Research

Provide in-depth research reports and independent analysis, leveraging data, technology, and economic insights to deliver a comprehensive examination of the blockchain ecosystem, project potential, and market trends.

How to Systematically Track High-Win-Rate Addresses on Polymarket?

This article explores methods to systematically identify and track high-success-rate addresses on Polymarket, a blockchain-based prediction market where all transactions are publicly recorded on-chain. It highlights that while data is transparent, the key challenge lies in extracting meaningful signals from vast datasets to detect addresses with potential informational advantages. The piece outlines common characteristics of such addresses: new wallets making large, concentrated bets; specialization in specific verticals; abnormal changes in position size; and exceptionally precise timing, repeatedly entering positions hours before major news breaks. A three-step systematic approach is recommended: First, filter addresses based on sustained profitability (e.g., 30-day positive returns, >55% win rate) using leaderboards like Polymarket Analytics. Second, analyze their holdings in specific event markets, focusing on addresses that are consistently among the top holders before full market pricing. Third, scrutinize their on-chain behavior: entry timing relative to news, position-building patterns (e.g., rapid, concentrated entries), holding periods, and trading focus. Advanced strategies include monitoring exit behavior (e.g., large, unexplained sell-offs), conducting wallet clustering analysis to find linked addresses, tracking unusual volume spikes in low-liquidity markets, and cross-referencing on-chain activity with external real-world data for validation. The goal is to move beyond luck and identify addresses exhibiting repeatable, information-driven advantages.

marsbit03/02 11:35

How to Systematically Track High-Win-Rate Addresses on Polymarket?

marsbit03/02 11:35

The Dilemma Without a Moat: Why Couldn't Optimism Keep Base?

The article "The Dilemma of No Moat: Why Couldn't Optimism Keep Base?" discusses how Optimism's strategic decision to release the OP Stack under the permissive MIT license enabled widespread adoption, making it the dominant infrastructure for Ethereum scaling. However, this move also eliminated barriers to exit, allowing major chains like Base (built by Coinbase) to use the technology without obligation. Base grew to contribute over 96% of Optimism Collective's gas fees but eventually left the Superchain ecosystem, citing technical efficiency and autonomy. The promised native interoperability feature—the core value proposition for revenue sharing—never materialized, reducing incentives for Base to remain. The departure triggered a significant drop in OP's token value, highlighting a recurring pattern in open-source projects where value accrues to entities controlling distribution (like Coinbase) rather than those building the technology. The article contrasts Optimism's approach with Arbitrum's more restrictive, contract-based model and concludes that sustainable value in L2 networks lies not in forkable technology but in structural advantages like user bases and liquidity depth.

marsbit03/02 09:56

The Dilemma Without a Moat: Why Couldn't Optimism Keep Base?

marsbit03/02 09:56

Hold Bitcoin Mid-Term Short Positions, HYPE Successfully Rides the Wave for Profits | Guest Analysis

Bitcoin Mid-Term Short Hold Maintained, HYPE Successfully Captures Profits | Guest Analysis In this market analysis, analyst Cody reviews the past week's cryptocurrency performance. For Bitcoin, the overall weak bearish trend continued. A previously established mid-term short position (1x leverage) opened at $89,000 remains held, currently showing an unrealized profit of approximately 26.10% as the price fell to around $65,770. A separate short-term short trade was executed, yielding a 2.12% gain. The primary view is that Bitcoin is undergoing a C-2 wave rebound within a larger corrective structure. The price is expected to continue oscillating within a range, with key resistance between $68,500-$72,300 and crucial support near $60,000-$62,500. The core trading strategy remains "selling on rallies." Significant focus is placed on HYPE, which is analyzed using Elliott Wave Theory. The analysis posits that HYPE completed its Wave I rise and Wave II correction and is now in the early stages of a potent Wave III advance. A recent short-term long trade (1x leverage) on HYPE capitalized on this move, generating an 11.14% profit. The wave count and breakout from key descending trendline are cited as evidence for this bullish outlook. The weekly strategy involves holding a 60% mid-term Bitcoin short position. For short-term trades, 30% of capital is allocated to scalp "price differences" based on support/resistance levels and proprietary quantitative models (Momentum and Price-Spread), following a strict principle of "going with the trend and selling high." Detailed A/B plans are provided for entering additional short positions on bounces toward $70,000-$72,300 (Plan A) or $74,500 (Plan B), complete with precise entry, stop-loss, and a dynamic trailing stop protocol to lock in profits. A strong disclaimer cautions that all analysis is for personal use and not investment advice.

Odaily星球日报03/02 08:17

Hold Bitcoin Mid-Term Short Positions, HYPE Successfully Rides the Wave for Profits | Guest Analysis

Odaily星球日报03/02 08:17

a16z Infographic: AI Costs Halved, Usage Doubled, US 30-Year-Olds Enter the Era of 'Delayed Adulthood'

This a16z report analyzes four key trends through data visualization. First, while the "DExit" narrative suggests companies are leaving Delaware due to legal shifts, the data reveals a more nuanced picture; Delaware's overall share of businesses has actually grown, though specific entities like Wyoming LLCs are gaining traction. Second, AI sector demonstrates the Jevons Paradox: as the cost of AI tokens halved, their usage doubled, and demand for older GPUs remains strong, indicating the AI-driven economy is still in its early stages. Third, AI capital expenditure is massive, comparable to total US bank lending and significantly larger than corporate tax income or the military budgets of other G7 nations. Finally, prediction markets like Kalshi are now outperforming professional forecasters in predicting Federal Funds Rates. The report concludes with a societal trend: 30-year-olds are increasingly delaying traditional life milestones like marriage, homeownership, and having children, with college enrollment being the only metric that has risen sharply, though its value is now being questioned.

marsbit03/02 07:16

a16z Infographic: AI Costs Halved, Usage Doubled, US 30-Year-Olds Enter the Era of 'Delayed Adulthood'

marsbit03/02 07:16

Big Short Prototype: Trillion-Dollar AI Investment Started on the Wrong Path from the Beginning

Michael Burry draws a parallel between a 19th-century case study and modern AI development to argue that the current path of large language models (LLMs) is fundamentally flawed. He references an 1880 article from the Smithsonian about Melville Ballard, a deaf man who, without formal language, engaged in complex abstract reasoning about the origins of the universe, life, and God. This story demonstrates that true reasoning and understanding exist prior to and independent of language. Burry contends that by prioritizing language processing over the development of genuine reasoning capabilities, LLMs are merely creating sophisticated mirrors of data, not true understanding. They operate in an intermediate zone, simulating reasoning but lacking the innate rational capacity that precedes language. This "language-first" approach, driven by immense computational brute force, leads to inherent flaws like hallucinations and an inability to achieve real comprehension. The proposed solution is a shift towards a "reasoning-first" architecture, which would focus on compressing information and utilizing System 2 reasoning to drastically reduce computational needs. Burry suggests that true AI must pass a "Ballard Test": demonstrating rational thought without language. He concludes by linking this technological critique to a cyclical pattern of speculative investment booms, comparing the current AI hype to the 19th-century mining speculation in San Francisco, warning of an inevitable bust if the foundational approach isn't corrected.

marsbit03/02 06:57

Big Short Prototype: Trillion-Dollar AI Investment Started on the Wrong Path from the Beginning

marsbit03/02 06:57

Aave Founder: The Next Step for DeFi is Financing Solar Energy, Robotics, and Space

DeFi has already improved the supply side of capital allocation, with highly liquid on-chain assets that can be programmatically deployed for optimized risk-adjusted returns. Aave, in particular, has demonstrated its capacity to absorb hundreds of billions in liquidity. The next evolution of DeFi should focus on the demand side, rebalancing liquidity toward real-world infrastructure financing. Key future infrastructure sectors requiring capital deployment include solar farms, batteries, data centers & GPUs, robotics, electric transportation, nuclear energy, desalination, carbon capture, critical minerals, digital networks, and space infrastructure. Conservative estimates project a total capital expenditure opportunity of $100–200 trillion by 2050—dwarfing the combined assets under management of the world’s top ten banks. Aave can capture this opportunity through two primary models: yield-bearing stablecoins (YBS), which distribute off-chain yields to on-chain users, and direct collateralization of tokenized real-world assets. Both approaches align with Aave’s lending structure, where loans are backed by assets rather than user credit. Infrastructure assets typically offer attractive returns—ranging from 8% to 18%—with cash flows that mitigate redemption risks. By serving as a foundational liquidity layer, Aave can help finance the transition to a more abundant global economy, accelerating adoption by 10–15 years. This positions Aave not just as a DeFi protocol but as the core financial infrastructure for the future.

marsbit03/02 05:23

Aave Founder: The Next Step for DeFi is Financing Solar Energy, Robotics, and Space

marsbit03/02 05:23

Geopolitical Earthquake in the Middle East: Deciphering Safe-Haven Capital Flows and BTC Pricing Logic Through Options Data

In an unprecedented geopolitical shock on March 1, 2026, a direct U.S.-Israel military strike resulted in the death of Iran’s Supreme Leader, triggering a global repricing of risk across asset classes. While traditional safe-havens like crude oil and gold surged, Bitcoin exhibited a dual narrative—oscillating between "digital gold" and high-risk asset behavior. BTC held key support near $67,000 with robust spot market activity ($1.74B in 24h volume), indicating strong institutional accumulation despite initial volatility. Deribit options data revealed critical insights: the March 27 expiry期权 had a max pain of $76,000—12% above spot—suggesting pre-event bullish positioning remained largely intact. Implied volatility spiked to 51.3%, reflecting heightened hedging demand. The put/call open interest ratio stood at 0.75 (call-heavy), while the volume ratio reached 1.37, indicating tactical put buying for short-term protection. A breakdown below $65,000 could trigger negative gamma feedback toward $60,000. Conversely, stabilization above $70,000 may induce a gamma squeeze, accelerating a move toward max pain near $76,000. Medium-term outlook suggests a broad range between $62k–$70k with violent swings. However, as panic subsides, BTC’s structural role as a non-sovereign, uncorrelated asset may strengthen, with a high probability of a rebound toward $75k–76k by late March. This event underscores Bitcoin’s evolving function in global macro portfolios amid escalating geopolitical fragmentation.

marsbit03/02 02:52

Geopolitical Earthquake in the Middle East: Deciphering Safe-Haven Capital Flows and BTC Pricing Logic Through Options Data

marsbit03/02 02:52

Wintermute Reveals: Are Retail Investors No Longer Trading Crypto?

Wintermute, a leading crypto market maker, reveals a significant shift in retail investor behavior: instead of simultaneously investing in both cryptocurrencies and stocks as in the past, retail traders are now choosing between them. Since late 2024, activity in crypto and equities has become negatively correlated—when retail buys stocks, crypto activity stagnates, and vice versa. Key factors driving this change include the structural compression of crypto’s volatility premium relative to stocks, reducing its appeal as a high-risk, high-reward asset. Technical developments, such as smoother on/off ramps via fintech integrations, make it easier for capital to flow between asset classes. Additionally, the rise of LLM-powered analysis tools gives retail a perceived edge in stock markets—a feeling absent due to crypto’s lack of clear valuation frameworks. As a result, traditional crypto indicators like M2 money supply are becoming less reliable. Investors should now view crypto through a multi-asset portfolio lens, acknowledging it as one option among many rather than the primary speculative arena.

marsbit03/02 01:07

Wintermute Reveals: Are Retail Investors No Longer Trading Crypto?

marsbit03/02 01:07

a16z Charts of the Week: AI Costs Halved and Usage Doubled This Year, Major Life Milestones for 30-Year-Olds in the US Delayed Across the Board

a16z's Charts of the Week explores four key trends. First, while a "DExit" (Delaware Exodus) narrative exists due to high-profile companies leaving over legal concerns, data shows a more complex reality. Delaware's overall share of U.S. businesses has actually grown, though Wyoming has seen a surge in LLC registrations. Second, AI demonstrates the Jevons Paradox: as the cost to process AI tokens halved this year, usage doubled. Demand for older GPU rentals (H100, A100) is also rising, contradicting predictions of a compute glut. Historical parallels suggest the full economic impact of AI may take time to materialize. Third, AI capital expenditure is massive, comparable to annual U.S. bank lending and significantly larger than U.S. corporate tax income or the military budget of any non-U.S. G7 nation. Fourth, the prediction market Kalshi is outperforming professional forecasters and futures markets in predicting the Federal Funds Rate, providing a valuable high-frequency, probabilistic benchmark. Finally, data shows a stark delay in life milestones for 30-year-olds in the U.S. Since the 1980s, far fewer are living independently, married, living with children, or owning a home. The only exception is college attainment, which has nearly doubled since 1995, though the value of a degree is increasingly questioned.

marsbit03/01 02:49

a16z Charts of the Week: AI Costs Halved and Usage Doubled This Year, Major Life Milestones for 30-Year-Olds in the US Delayed Across the Board

marsbit03/01 02:49

Behind RedotPay's Potential US Listing: The Structural Logic and Regulatory Boundaries of a Stablecoin Payment Platform

RedotPay, a Hong Kong-based stablecoin payment platform, is reportedly considering a U.S. IPO with a potential valuation exceeding $4 billion. This move highlights broader questions about how such platforms structure their operations across regulatory boundaries. Beyond functioning as a simple payment card, RedotPay operates as an integrated financial account system offering services including custody, crypto swaps, lending, remittances, and yield-earning products. Its legal structure involves multiple entities across jurisdictions (Hong Kong, Panama, Argentina, and the U.S.), each handling specific services under distinct regulatory frameworks. For instance, its Crypto Earn service is explicitly not offered to Hong Kong residents and is managed by its Panama entity. The platform’s terms of service clearly define fund usage—such as pooled and non-segregated assets in its Earn product—and acknowledge credit functions, aligning with credit card logic in certain regions. While RedotPay explicitly disclaims being a bank or a stored value facility, regulatory scrutiny will likely focus on functional realities rather than contractual disclaimers. An IPO would subject RedotPay to intense scrutiny regarding legal structure consistency, customer asset handling, risk disclosure, and alignment between growth narratives and compliance practices. The company’s emphasis on detailed legal terms and jurisdictional clarity may strengthen its position, but the key challenge remains demonstrating that its multi-entity framework can withstand regulatory and investor due diligence. Ultimately, RedotPay’s a trend in PayFi where success depends not only on product innovation but also on the ability to maintain legally robust and explainable operational structures across diverse regulatory environments.

marsbit03/01 01:32

Behind RedotPay's Potential US Listing: The Structural Logic and Regulatory Boundaries of a Stablecoin Payment Platform