# Пов'язані статті щодо Adverse Selection

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Adverse Selection", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Don't Be Fooled by 'Consensus Price': 23 Pitfalls of Prediction Markets

In his article "23 Pitfalls of Prediction Markets," crypto KOL Alexander Lin critiques the structural and operational flaws hindering mainstream adoption. Key issues include extremely low capital efficiency due to full collateralization without leverage, structurally broken capital turnover from locked funds, and flawed liquidity pools where half the assets expire worthless. Prediction markets lack natural hedgers, suffer from worsening adverse selection near settlement, and face a liquidity trap at launch. They rely on external events for demand, unlike perpetuals' self-sustaining flywheel, and disconnect from institutional asset allocation. Liquidity resets to zero after each settlement, and subsidies create fragile, short-term activity. Other problems include the illusion of accuracy, oracle manipulation risks, inflated nominal trading volumes, reflexivity at scale, cross-platform credibility issues, and potential real-world event manipulation. Regulatory fragmentation and the innovator's dilemma further impede progress. Lin argues these defects make prediction markets inefficient, unscalable, and unreliable compared to traditional financial instruments.

比推02/27 06:19

Don't Be Fooled by 'Consensus Price': 23 Pitfalls of Prediction Markets

比推02/27 06:19

23 Major Flaws of Prediction Markets

Alexander Lin, a crypto KOL, outlines 23 fundamental flaws in prediction markets. Key issues include extremely low capital efficiency due to full collateral requirements and no leverage, structurally broken capital turnover from locked funds, and flawed liquidity pools where half the assets become worthless at settlement. There is a lack of natural hedgers, worsening adverse selection near settlement, and a liquidity trap for new markets. Prediction markets rely on external events rather than generating endogenous demand, disconnect from institutional asset allocation, and reset liquidity to zero after each event. Other problems include reliance on subsidies for liquidity, a trade-off between volume and accuracy, oracle risks, inflated nominal trading volumes, reflexivity at scale, cross-platform credibility risks, and susceptibility to real-world and market manipulation. They also lack complex financial instruments, face fragmented regulation, and suffer from the innovator's dilemma, hindering architectural improvements.

marsbit02/27 04:24

23 Major Flaws of Prediction Markets

marsbit02/27 04:24

Everyone Hates Cryptocurrency, and We Only Have Ourselves to Blame

Cryptocurrency faces a widespread credibility crisis, shifting from mainstream skepticism to outright厌恶. The author argues the industry has only itself to blame, using a crude metaphor of a failed orgy to illustrate the repeated, humiliating cycles of participation. Key reasons for the loss of trust and interest include: the aging demographic of crypto advocates; the prevalence of scams and irreversible financial losses; the rise of political meme coins (like TRUMP) as a sign of extraction over value; and more compelling narratives in AI and robotics. The author notes that crypto is no longer the most interesting or profitable game, with traditional markets outperforming. The culture is seen as toxic, degenerate, and driven by zero-sum PvP (player vs. player) dynamics where insiders hunt each other rather than building real value. Technical communities are disgusted by the lack of substantive progress beyond better wallets or cheaper gambling. Yield opportunities in DeFi have compressed, and trust in all entities—from founders to exchanges—is eroded. The piece concludes that the "lights are on, and the party is over," with crypto losing its narrative of optimistic innovation.

marsbit01/22 08:42

Everyone Hates Cryptocurrency, and We Only Have Ourselves to Blame

marsbit01/22 08:42

Attack on MM 2: Market Maker Order Book and Order Flow

"Attack of the MM 2: Market Maker Order Books and Order Flow" by Dave explores the dynamics of market making in crypto, focusing on the Limit Order Book (LOB) and order flow. The LOB is the market maker's battlefield, defined by depth, tick size, and the concept of price improvement—providing better prices than the current best bid/ask to create market value. Market makers profit from the bid-ask spread, which covers order processing costs, inventory risk (holding assets amid price fluctuations), and adverse selection risk (being exploited by informed "toxic" traders). The spread types include quoted, effective, and realized spread, with the latter factoring in future mid-prices to measure true profitability. Order flow involves managing incoming trades, with a focus on identifying "toxic flow" from informed traders who can cause losses. Market makers use metrics like VPIN (Volume-weighted Probability of Informed Trading) to detect one-sided pressure and respond by pulling quotes, widening spreads, or reducing order sizes to mitigate risk. The article hints at deeper institutional strategies in future installments.

深潮12/28 04:03

Attack on MM 2: Market Maker Order Book and Order Flow

深潮12/28 04:03

The Illusion of Zero Fees: How Lighter Extracts Costs Through High Latency

"The Illusion of 'Zero Fees': How Lighter Uses High Latency to Hide Costs Lighter DEX promotes 'zero-fee' trading for retail traders, but this comes with a hidden cost: high latency. The platform offers two account types—standard (0% fee) and premium (low fee)—with the standard account imposing a 200–300ms delay on transactions. In crypto markets, where prices move rapidly, this delay allows faster traders to exploit price movements and trade against slower users. Academic research suggests the actual cost due to adverse selection and slippage ranges from 6–12 basis points per trade for standard accounts, compared to just 0.2–2 basis points for premium accounts. This makes the 'free' account effectively 5–10 times more expensive. The model resembles payment for order flow practices seen in traditional finance, where platforms like Robinhood profit by routing orders to market makers. While Lighter discloses latency data, it emphasizes 'zero fees' in marketing while burying latency details, knowing most users won’t understand the implications. For all traders—especially small retail investors—the premium account is unequivocally the better choice."

marsbit12/12 02:57

The Illusion of Zero Fees: How Lighter Extracts Costs Through High Latency

marsbit12/12 02:57

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