# Сопутствующие статьи по теме Leverage

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

NYSE Launches 24/7 Tokenized Stock Trading: Which Crypto Businesses Will Directly Benefit or Suffer?

The New York Stock Exchange (NYSE) has announced plans to launch a tokenized securities trading and on-chain settlement platform supporting 24/7 trading of U.S. stocks and ETFs, fractional shares, stablecoin-based settlements, and instant settlement. This move is expected to have significant implications for the crypto industry. Potential beneficiaries include compliant U.S. stablecoins like USDC, which could be chosen for settlements, boosting their adoption. Leveraged stock-to-crypto trading platforms (e.g., Hyperliquid) may benefit from improved hedging opportunities due to aligned 24/7 trading hours. Perpetual swap and basis trading protocols (e.g., Ethena) could gain new, high-quality assets for arbitrage strategies. Selected infrastructure providers, such as blockchains and oracles, may also see growth, though traditional finance connections will be crucial. Conversely, existing crypto-native stock tokenization platforms face direct competition from the NYSE's superior regulatory backing and promise of equal dividends and governance rights. Spot stock-to-crypto trading platforms are particularly vulnerable and may need to pivot to offshore markets or derivatives to survive. Overall, while the NYSE's entry threatens some crypto-native businesses, it highlights the growing value of crypto's unique strengths: stablecoin infrastructure, leveraged trading, and on-chain financial engineering. Competition will intensify, but new opportunities will emerge.

Odaily星球日报01/20 02:13

NYSE Launches 24/7 Tokenized Stock Trading: Which Crypto Businesses Will Directly Benefit or Suffer?

Odaily星球日报01/20 02:13

Why Do I Feel Less Valuable the More I Use AI?

The article discusses the "Zhang Wenhong Paradox," named after a prominent Chinese doctor who refuses to integrate AI into hospital medical records. He argues that while he can leverage AI to review cases and spot its errors due to his decades of experience, young doctors who rely on AI from the start risk never developing the independent clinical judgment needed to verify AI's output. This highlights a broader anxiety among skilled professionals (programmers, lawyers, analysts): as AI handles 80% of execution work, they fear their remaining 20% of value may not justify their professional worth. The core argument is that AI acts as a multiplier: it amplifies existing skills (10x) but cannot compensate for a fundamental lack of understanding (0 x 10 = 0). True skill in the AI era is redefined as judgment—the ability to define problems, think structurally, and verify AI outputs. The author warns against outsourcing thinking to AI; clear, structured input is crucial to avoid "garbage in, garbage out." Furthermore, AI tends to output average, consensus-based answers, so deep, first-principles understanding is needed to challenge its suggestions and avoid mediocrity. Historically, tools like computers transformed professions (e.g., lawyers shifted from finding cases to crafting strategies). Similarly, AI is shifting human roles from "doers" to "validators" and "commanders" who integrate macro-strategy with micro-verification. The conclusion: this is the best era for independent thinkers who can leverage AI as a powerful tool, but it requires building a solid foundation of expertise to avoid becoming mere operators of the technology. The key is to "compete with AI in setting questions, not answering them."

marsbit01/19 12:08

Why Do I Feel Less Valuable the More I Use AI?

marsbit01/19 12:08

MACD Real Backtest: Can Technical Indicators Lead You to Profit?

Based on a comprehensive 5-year backtest of the MACD trading strategy on BTC and ETH, this analysis delivers a sobering reality check for traders. The key finding is that 90% of short-term trading activity, particularly lower timeframes (15m, 30m, 1h), underperforms a simple "buy and hold" strategy due to transaction costs, noise, and psychological strain. The "benchmark" returns for simply holding the assets were +48.86% for BTC and +53.00% for ETH. The data reveals that MACD strategy performance is highly dependent on timeframe and leverage: * **Short Timeframes (15m, 30m, 1h):** Nearly all configurations resulted in significant losses or complete liquidation (-100%), severely underperforming the buy-and-hold benchmark. * **4-Hour Timeframe:** This was the only timeframe where the MACD strategy consistently generated alpha. * **BTC 4h (1x leverage):** ~+96% return, successfully outperforming buy-and-hold by avoiding major bear markets. * **ETH 4h (1x leverage):** ~+205% return, dramatically outperforming its buy-and-hold benchmark due to ETH's strong trend-following characteristics. * **Leverage Impact:** Leverage (2x, 3x) on the 4h timeframe amplified these gains effectively (e.g., ETH 4h 3x leverage yielded +552%). However, higher leverage (5x) often led to diminished returns due to funding fees and volatility decay, despite increased risk. The "Death Matrix" of results shows that short-term, high-leverage trading is akin to gambling" with a near-certain outcome of failure. The final recommendation is clear: for most investors, a buy-and-hold strategy is superior to active trading on low timeframes. For those seeking to outperform, the only viable approach is applying moderate leverage (2x-3x) exclusively on the 4-hour timeframe, with ETH presenting the best opportunity for significant excess returns.

marsbit01/17 08:45

MACD Real Backtest: Can Technical Indicators Lead You to Profit?

marsbit01/17 08:45

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