# Сопутствующие статьи по теме Trading

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

Polymarket Arbitrage Panorama: Five Mainstream Strategies and Opportunities for Ordinary Players

Polymarket Arbitrage Overview: Five Main Strategies and Opportunities for Retail Users This article deconstructs the core arbitrage strategies on Polymarket, a prediction market platform, highlighting how professional traders systematically profit from pricing inefficiencies rather than simply betting on outcomes. Five primary arbitrage methods are identified: 1. **In-Platform "Risk-Free" Arbitrage:** Exploiting moments when the sum of YES and NO share prices for a binary event falls below $1, allowing traders to buy both and lock in a guaranteed profit upon settlement. This space is now highly competitive and dominated by bots. 2. **Cross-Platform Arbitrage:** Capitalizing on price discrepancies for the same event across different prediction markets (e.g., Polymarket vs. Kalshi). 3. **Information Arbitrage ("Front-Running"):** Using faster data feeds (e.g., live sports streams, news) to place orders before the market updates. 4. **Negative Risk Arbitrage:** Hedging principal risk by strategically taking multiple NO positions in markets with several mutually exclusive outcomes, based on mathematical probability miscalculations. 5. **Market Making (Spread Capture):** Profiting from the bid-ask spread in new or illiquid markets by placing limit orders. The article reviews real-case studies of top traders, including: * A trader who profited using statistical analysis of Elon Musk's historical posting data. * A trader who manipulated the outcome of a low-liquidity, short-term market by moving the underlying asset's spot price. * High-frequency automated trading on microscopic pricing errors. * News-driven subjective trading on political and macro events. * "Reversion" trading, betting against market overconfidence right before event settlement. For retail users, the advice is to: 1. Avoid competing directly with automated bots in simple arbitrage. 2. "Copy trade" by analyzing top traders' on-chain activity and combining it with news research. 3. Take dynamic profits early when an edge is realized, rather than holding until settlement, to improve capital efficiency and avoid final outcome disputes. The conclusion emphasizes that sustained profitability in prediction markets comes from exploiting cognitive and pricing biases through disciplined strategy, not gambling on truth.

比推01/29 06:24

Polymarket Arbitrage Panorama: Five Mainstream Strategies and Opportunities for Ordinary Players

比推01/29 06:24

1inch Team Accused of Dumping, On-Chain Data Reveals Sophisticated Trading Strategies of Large Positions

Recent on-chain data from ARKHAM indicated that three wallets labeled as "1inch Team" sold 36.36 million 1INCH tokens, worth $5.04 million, causing the token's price to drop by 16.7% to around $0.1155. The tokens were initially acquired in late 2024 at approximately $0.42 each, meaning the sale resulted in a loss of over $10 million for the seller. This event sparked criticism and raised questions about whether the 1inch team was intentionally dumping tokens. However, the team’s historical trading behavior shows a pattern of strategic accumulation during market lows and gradual profit-taking during highs—not large-scale selling at a loss. For instance, earlier in the year, the team accumulated 1INCH at around $0.20 and sold portions at higher prices, realizing significant profits on 1INCH, ETH, and BTC positions. 1inch officially denied involvement, clarifying that the wallets in question were not controlled by the team or its multisig treasury and that the sell-off was likely executed by a third-party holder. The team emphasized that it does not influence independent token holders' decisions. Despite the clarification, the sell-off exacerbated the token’s already weak market performance. 1INCH has been in a prolonged downtrend since its all-time high of $6, now trading near $0.11. The incident highlights how on-chain labels can be misleading and how low liquidity magnifies the impact of large sales—often harming retail investors the most.

marsbit01/29 04:58

1inch Team Accused of Dumping, On-Chain Data Reveals Sophisticated Trading Strategies of Large Positions

marsbit01/29 04:58

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