# Information Arbitrage İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Information Arbitrage" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

The Real Cost of Being One Minute in Prediction Markets — A Study on the Golden Entry Windows for Different Events

In prediction markets, the cost of hesitation is measured in minutes. This analysis of 2,023 on-chain trades on Polymarket reveals that the "confirmation tax"—the price paid for waiting to verify news—can be devastatingly high. The core metric is "Remaining Alpha" (1 - current price). For events that resolve to "YES" ($1), buying at $0.20 offers $0.80 in potential profit, while buying at $0.90 leaves only $0.10. The research identifies three distinct event types with their own profit decay curves: 1. **Sudden & Certain Events** (e.g., "Maduro arrested"): The golden window is the first 60 seconds, with an average entry price of $0.56 (44% Alpha). Alpha's half-life is less than 2 minutes, evaporating entirely after ~10 minutes. Strategy: Prioritize position over 100% certainty. 2. **Negotiation & Correction Events** (e.g., "SVB acquisition"): The decay is step-like. A 6-hour observation window existed with prices stable at ~$0.65, followed by a sharp price correction. Strategy: Look for confirmation signals (e.g., large smart money buys) rather than racing to be first. 3. **Priced-In Events** (e.g., "TikTok ban"): The event is highly anticipated. By the official deadline (T0), the price is already efficient (~$0.84), offering near-zero Alpha. Strategy: Avoid entering at T0; it's the finish line, not the start. The key takeaway: Time is an exponential function of money in prediction markets. A one-minute delay can mean forfeiting the vast majority of profitable alpha, turning a trader from a hunter into prey providing liquidity for others.

marsbit02/14 05:30

The Real Cost of Being One Minute in Prediction Markets — A Study on the Golden Entry Windows for Different Events

marsbit02/14 05:30

Insider Trading Might Be the Most Valuable Part of Prediction Markets

The article "Insider Trading Might Be the Most Valuable Part of Prediction Markets" examines a controversial case on Polymarket where an account achieved a 1242% return by accurately predicting the arrest of Venezuelan leader Maduro before mainstream media coverage. This event sparked debates about insider trading in decentralized prediction markets and led U.S. Representative Ritchie Torres to propose the "2026 Financial Prediction Markets Public Integrity Act," aiming to regulate such activities. The piece argues that while traditional finance bans insider trading to protect retail investors, prediction markets fundamentally serve as "truth discovery" mechanisms. Their core value lies in aggregating fragmented information into accurate price signals, even if it involves informed participants. Preventing insiders from trading could render markets less accurate, as prices would reflect public speculation rather than genuine probabilities. The article concludes that prediction markets should be viewed as tools for uncovering truth through decentralized information aggregation, not as fair trading venues. Blockchain transparency allows hidden information to become public signals through market activity, enabling rapid price correction and collective intelligence. Regulatory attempts to enforce fairness might undermine the predictive efficiency that makes these markets valuable.

marsbit01/07 11:19

Insider Trading Might Be the Most Valuable Part of Prediction Markets

marsbit01/07 11:19

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

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