# Profit Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Profit", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

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

The Most Centralized Giant in the Crypto World Starts Selling the 'Decentralized AI' Dream

Tether, the highly centralized issuer of the USDT stablecoin, reported $13 billion in profit in 2024—far exceeding the combined revenues and losses of major AI firms like OpenAI and Anthropic. With only 150 employees, Tether earns primarily by investing user funds in U.S. Treasury bonds, profiting from the interest without paying users any yield. Now, Tether is aggressively investing in AI. It loaned over $600 million to Northern Data, Europe’s largest GPU cloud provider with over 10,000 Nvidia H100 GPUs. It also released QVAC Genesis, a massive open-source AI training dataset, and acquired Blackrock Neurotech, a brain-computer interface company, for $200 million. Total AI-related investments approach $1 billion, with potential additional deals in robotics sector. Despite its centralized control over USDT reserves and lack of external audits, Tether promotes a “decentralized AI” vision—advocating for local AI operation and individual data ownership. Critics find this ironic, given Tether’s opaque governance. Tether’s move into AI may stem from concerns over declining Treasury yields and a desire to position itself as a tech innovator. Unlike AI startups burning billions without clear profitability, Tether uses stablecoin profits to fund speculative AI bets—insulating itself from sector risks while gaining influence. The article suggests that in 2026, the best business model in AI might be not doing AI at all, but rather funding it with profits from a separate, lucrative venture.

比推01/05 14:50

The Most Centralized Giant in the Crypto World Starts Selling the 'Decentralized AI' Dream

比推01/05 14:50

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