# Сопутствующие статьи по теме Risk Management

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Risk Management", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

The Key Value of Munger and Buffett's Long-Term Thinking Model for Web3

The article explores how Charlie Munger and Warren Buffett's long-term investment philosophy can provide critical insights for the Web3 industry. Despite their historical skepticism toward cryptocurrencies, their principles—focusing on intrinsic value, durable business models, and rational risk assessment—are highly relevant to blockchain’s development. The author identifies three key criteria for evaluating Web3 projects: 1. **Real Demand**: Projects should demonstrate genuine utility and organic usage—like Ethereum’s gas fees or user-paid transactions—rather than rely on short-term incentives or artificial metrics. 2. **Sustainable Business Models**: Successful projects exhibit network effects, scalability, and economic moats that allow them to thrive across market conditions, aligning with the concept of compounding value. 3. **Sound Tokenomics**: Tokens should have clear value-accrual mechanisms, such as fee distribution or buybacks, and avoid structural dilution or over-centralization. Additionally, Munger’s emphasis on multidisciplinary thinking and operating within one’s “circle of competence” is crucial for navigating Web3’s complexities. Understanding protocol risks—like governance failures, death spirals, or technical flaws—can prevent significant losses. Ultimately, the piece argues that long-term value creation in Web3 depends on applying time-tested investment principles to filter out speculative noise and identify projects with enduring worth.

marsbit01/14 07:26

The Key Value of Munger and Buffett's Long-Term Thinking Model for Web3

marsbit01/14 07:26

Polymarket 2025: In-Depth Report on Six Profit Models, Starting from 95 Million On-Chain Transactions

This report analyzes six proven profit strategies on Polymarket, a decentralized prediction market with over 95 million transactions and $21.5 billion in nominal volume in 2025. Based on an analysis of 86 million on-chain transactions, the strategies are: 1. **Information Arbitrage**: Exemplified by a French trader who made $85M on the 2024 US election by conducting unique "neighbor effect" polls, exploiting systematic market pricing errors. 2. **Cross-Platform Arbitrage**: Earning risk-free profits by capitalizing on price discrepancies for the same event across different prediction markets (e.g., Polymarket vs. Kalshi), netting over $40M collectively. 3. **High-Probability "Bonding"**: Consistently buying high-probability outcomes (e.g., >95% certainty) for steady, short-term returns, with potential yields exceeding 1800% annualized. 4. **Liquidity Providing (LP)**: Acting as a market maker to earn spreads and rewards, though returns have diminished post-2024 election due to increased competition and lower rewards. 5. **Domain Specialization**: Achieving high win rates (e.g., 96%) by developing deep expertise in a niche area (e.g., sports, specific event mentions), making infrequent but high-conviction bets. 6. **Speed Trading**: Using automated systems and low-latency tech to profit from brief information advantages, a strategy increasingly dominated by institutional players. The analysis concludes that successful traders systematically identify market inefficiencies, practice strict risk management (e.g., limiting single bets to 5-10% of capital), and build superior information advantages in specific domain. As Polymarket matures, newcomers are advised to start with lower-risk strategies like bonding and focus on building expertise in a vertical niche.

marsbit12/29 03:44

Polymarket 2025: In-Depth Report on Six Profit Models, Starting from 95 Million On-Chain Transactions

marsbit12/29 03:44

Founder's Account: From Start to Abandonment, Why I'm No Longer Doing Web3 Payments

In this candid reflection, a serial entrepreneur shares their decision to step away from Web3 payment ventures after six months of deep immersion. Initially drawn by the promise of faster, more transparent, and globally efficient settlements—especially for cross-border and remote work scenarios—the founder quickly realized that the industry’s core challenges aren’t product-based but structural. Through on-the-ground research in places like Yiwu, Mexico, and Shuibei, they observed that real-world adoption of Web3 payments remains fragmented, relationship-dependent, and far from the scalable, product-driven opportunity often portrayed. The critical barrier? Dependence on banking relationships, compliance, licensing, risk management, and regulatory navigation—areas where small, agile teams lack the resources and long-term leverage. The author emphasizes that many seemingly profitable payment operations actually profit from risk tolerance, not operational excellence, and that sustainability hinges on resilience to regulatory and financial shocks. While still believing in Web3 payment’s long-term potential—especially as a back-end upgrade for global treasury management—they concluded that the sector demands deep industry assets, patience, and risk capital ill-suited to their team’s strengths. Instead, they plan to focus on the next layer: helping users navigate on-chain asset management and risk-aware investing, turning payment flows into sustainable value. This isn’t a rejection of Web3 payments but a pragmatic shift based on resource alignment and structural reality.

marsbit12/26 02:13

Founder's Account: From Start to Abandonment, Why I'm No Longer Doing Web3 Payments

marsbit12/26 02:13

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

This article summarizes the top concerns of cryptocurrency users in 2025, as predicted by 10 major AI models. The models were asked to identify the three most common questions users would have about crypto in 2025, with instructions to avoid real-time searches and base answers on long-term discussion patterns. The responses, while varied, cluster around three core themes: market cycles, profit opportunities, and risk management. Key recurring questions include: - The current market phase (bull or bear) and how long it will last. - Bitcoin's price trajectory post-halving and the market's peak. - Where to find profitable opportunities (alpha) and the best assets or sectors to invest in (e.g., RWA, AI+Crypto, L2s, Solana). - The impact of regulatory changes and ETF approvals on the market and asset safety. - How to identify scams, assess project legitimacy, and securely store assets. - Practical on-chain concerns like avoiding MEV and setting slippage. The analysis notes that the models' different focuses reflect their design and user base. For instance, ChatGPT framed questions around a structured narrative of market anxiety, while Kimi addressed granular technical issues. More capable models tended to provide sharper, more specific questions, while others fell back on broader, common themes. Overall, the collective output reveals a user mindset focused on first gauging market trends, then seeking alpha, and finally mitigating risks.

比推12/24 06:50

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

比推12/24 06:50

Don't Waste Every Loss: The 'Sisyphean Revelation' of the Crypto Market

The article "Don't Waste Every Loss: The Sisyphus Lesson for Crypto Markets" addresses skilled traders facing significant profit drawdowns despite strong historical performance. It draws a parallel to the myth of Sisyphus, who found meaning in the struggle itself, suggesting that success in crypto trading lies not in avoiding losses but in embracing the process with awareness and resilience. The piece critiques two common emotional reactions to major losses: doubling down aggressively (like a Martingale strategy) or quitting entirely. Both are seen as superficial fixes that avoid the core issue: flawed risk management. The real challenge isn’t knowing risk principles but executing them consistently under emotional pressure, ego, and stress. To recover, traders must accept the loss as a tuition fee for personal flaws, not bad luck. They should anchor to current net worth, not past highs, and avoid the dangerous urge to "win it back." Strict rules on position sizing, stop-losses, and discipline are essential to prevent catastrophic failures. Emotional release is encouraged, but the key is converting pain into a lesson to avoid repetition. The article concludes that such losses, if approached with a冷静, machine-like mindset, can build resilience and improve one’s system. Each failure becomes a moat that others must pay to learn. The goal is not redemption or revenge but growth, ensuring the same mistakes never recur.

marsbit12/23 12:39

Don't Waste Every Loss: The 'Sisyphean Revelation' of the Crypto Market

marsbit12/23 12:39

Honeypot Finance: The New Full-Stack Perp DEX – Can It Challenge Hyperliquid?

Honeypot Finance, a new full-stack perpetual DEX, is emerging as a potential challenger to established players like Hyperliquid. With a $35M valuation and backing from investors like Mask Network, it aims to reshape the Perp DEX landscape through a unique hybrid model combining order book efficiency with AMM resilience. Unlike traditional models, Honeypot integrates an order book (via Orderly Network) for low-slip execution during normal conditions and a proprietary AMM that activates during high volatility, ensuring continuous tradability. It also introduces a structured risk management system featuring layered vaults—allowing conservative capital to enter "Priority Vaults" for safer yields, while risk-tolerant users opt for "Secondary Vaults" for higher returns. The platform employs a multi-stage liquidation process to minimize unfair liquidations and avoid automatic deleveraging (ADL) unless absolutely necessary. The ecosystem is supported by a closed-loop tokenomics model. The $HPOT token (500M fixed supply) benefits from protocol fee buybacks and burns, tying its value to real revenue. HoneyGenesis NFTs act as yield-weight amplifiers, rewarding long-term stakers or offering permanent boost options when burned. Having already facilitated over $120M in total trading volume ($20M in perpetuals), Honeypot aims to create a synergistic system—from meme launchpad (Pot2Pump) to derivatives trading—that captures and sustains value through actual usage rather than inflationary incentives. Its success hinges on attracting sustained liquidity, proving its risk infrastructure under stress, and validating its full-stack integration approach.

marsbit12/23 09:03

Honeypot Finance: The New Full-Stack Perp DEX – Can It Challenge Hyperliquid?

marsbit12/23 09:03

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