# Strategy Related Articles

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

Lazy Man's Guide to Earning While You Sleep 2.0: Holding 10 BNB in 2025, Outperforming 99% of Tokens with Alpha and Ecosystem 'Basic Income'

Title: Lazy Earnings Guide 2.0: Holding 10 BNB in 2025 Outperforms 99% of Tokens with Alpha and Ecosystem Benefits In 2025, holding BNB and participating in Binance's ecosystem activities remained a highly effective strategy. According to Binance's annual report, each BNB yielded $71.5 in passive income from core activities: $43.32 from Hodler Airdrop, $18.37 from Launchpool, and $9.81 from Megadrop. With 10 BNB (initial cost ~$7,000), this passive income totaled $715. Combined with BNB's price appreciation (from $700 to an average of $1,000), the conservative "lazy" approach generated ~$3,715, a 53% return. However, the real gains came from Binance Alpha, which offered 288 airdrop events with a theoretical max gain of $16,300. After adjusting for high thresholds, missed opportunities, and transaction costs, a diligent user with 10 BNB could net ~$11,350 from Alpha after ~$1,250 in trading fees. Adding passive income and appreciation, the total reached ~$15,065 (215% return). A compound strategy, reinvesting Alpha earnings into BNB, boosted the final value to ~$23,634 (237% return). Compared to the broader market—where only 10% of 443 major tokens had positive returns and less than 1% gained over 200%—BNB strategies offered superior risk-adjusted returns. Binance Alpha distributed $782M to 17M users, reinforcing Binance's dominance. Ultimately, being a "lazy" participant in Binance's ecosystem proved more profitable than actively trading most tokens in 2025's volatile market. (Note: This is not financial advice.)

marsbit01/19 08:48

Lazy Man's Guide to Earning While You Sleep 2.0: Holding 10 BNB in 2025, Outperforming 99% of Tokens with Alpha and Ecosystem 'Basic Income'

marsbit01/19 08:48

2025 Crypto Buyback Revelation: When a $138 Million Buy Order Can't Save an 80% Plunge

"2025 Crypto Buyback Report: A $1.38B Buyback Fails to Prevent an 80% Crash" The year 2025 witnessed an "industrial revolution" in crypto fiscal discipline, with on-chain protocols spending over $1.4 billion on token buybacks. This strategy, driven by mature DeFi business models and favorable US regulatory shifts, aimed to reshape tokenomics. However, the outcomes were starkly polarized. Hyperliquid emerged as the dominant success story, allocating over $640 million (nearly 46% of the total market) to buybacks, which fueled a 4x price surge. Its key was a high "Net Flow Efficiency Ratio" (NFER > 3.0), where buyback volume drastically exceeded token unlock sell pressure, creating net deflation. In contrast, major failures demonstrated that buyback size alone is meaningless against structural inflation. Despite a massive $138 million buyback, Pump.fun's token price crashed 80% as the mechanism served as exit liquidity for concentrated whales without lock-ups. Jupiter spent $70 million but faced an overwhelming $1.2 billion in annual unlocks (NFER of 0.06), making its efforts futile. The analysis introduces NFER as the critical metric: Buybacks only positively impact price when the annualized buyback volume surpasses the value of annual unlocks and emissions (NFER > 1.0). Otherwise, they are ineffective or even counterproductive. By early 2026, a strategic pivot occurred. Projects like Helium and Jupiter halted buybacks, recognizing that capital was better spent on user acquisition, subsidies, and building network effects—akin to "growth stocks." Mature protocols with established cash flows, like Optimism, began adopting buybacks to transition from speculation to value. The conclusion is clear: Financial engineering cannot overcome structural inflation. The new paradigm rewards protocols that use cash flow to build real economic moats and achieve genuine net deflation. Investors must now scrutinize NFER, holder structure, and the source of buyback funds.

marsbit01/19 08:37

2025 Crypto Buyback Revelation: When a $138 Million Buy Order Can't Save an 80% Plunge

marsbit01/19 08:37

Complete Analysis of Trump's Tariff "Playbook": A Practical Operation Guide

Former President Trump has announced new tariffs targeting multiple European nations, including Denmark, Norway, Sweden, France, Germany, the UK, the Netherlands, and Finland, starting at 10% on February 1 and escalating to 25% by June 1. These measures are tied explicitly to his strategic objective of acquiring Greenland, which he insists must be a "complete and comprehensive purchase." This follows a recurring pattern in Trump’s trade strategy: using high-stakes tariff threats as a negotiation tool, often announced over weekends when markets are closed to maximize psychological impact. The approach typically triggers an initial wave of market volatility and emotional selling, followed by a rebound as investors anticipate negotiated resolutions before tariffs take effect. The Kobeissi Letter outlines a consistent tactical playbook observed since early 2025: tariff threats are introduced, markets react negatively, buying opportunities emerge mid-week, and eventual deal announcements drive market rallies. While the Greenland demand is notably more ambitious than previous objectives—such as persuading China to drop export controls—the expected market response and negotiation timeline are projected to follow a similar cyclical pattern. Ultimately, the strategy leverages volatility as an opportunity, with disciplined traders capitalizing on predictable fluctuations tied to trade war headlines.

marsbit01/19 07:02

Complete Analysis of Trump's Tariff "Playbook": A Practical Operation Guide

marsbit01/19 07:02

Bitcoin's Short-Term Bear-to-Bull Transition: Will History Repeat Itself? | Invited Analysis

Summary of Bitcoin Market Analysis by Conaldo (Odaily Guest Analyst): This weekly trading report provides a technical analysis of Bitcoin's recent price action and outlines short-term trading strategies. The analyst, leveraging proprietary quantitative models (Momentum Quant, Sentiment Quant, and Spread Trading models), reviews the past week and forecasts the upcoming period. **Key Points & Performance:** * **Strategy Execution:** A single short-term, leveraged (1x) trade was executed last week, resulting in a -1.07% return. The trade was closed according to strict risk management rules after the market moved against the initial short signal. * **Price Validation:** The previous week's core prediction was validated as BTC's price successfully broke through the key resistance zone of $94,500-$95,000, reaching a high near $97,963. * **Current Market Structure:** The weekly chart analysis indicates the overall trend remains bearish, requiring caution. The daily chart shows a recent rebound with initial signs of bullish momentum, though its sustainability is not yet confirmed. **Technical Outlook & Key Levels (Jan 19-25):** * **Critical Zone:** The $94,500-$95,000 area is identified as the crucial level to watch for determining short-term direction. * **Resistance Levels:** Key resistance areas are $94,500-$95,000, $97,500-$99,500, and a major level near $102,000 (the 21-week moving average). * **Support Levels:** Key support areas are $89,500-$91,000, $86,000-$86,500, and a major level near $84,000. **Trading Strategy:** Two scenarios are proposed for the coming week using 30% capital: * **Scenario A (Bullish Break):** If BTC stabilizes above $94,500-$95,000, consider a long position with a stop-loss 1.5% below entry. * **Scenario B (Bearish Rejection):** If BTC is rejected at or falls below $94,500-$95,000, consider a short position with a stop-loss 1.5% above entry, targeting ~$86,500. **Historical Context & Broader Trend:** A comparison to a past market cycle (2021) suggests the 21-week moving average will be a critical multi-week bull/bear divider. A failure to break and hold above it could lead to further downside, potentially below $80,000. A true trend reversal to bullish would require the weekly MACD to show a clear bullish crossover. **Risk Management Emphasis:** The report strongly emphasizes disciplined risk management: setting stop-losses immediately upon entry and trailing them to protect capital and lock in gains as the trade moves favorably. *Disclaimer: This analysis is for informational purposes only and not investment advice. Markets are volatile; always conduct your own research (DYOR).*

Odaily星球日报01/19 05:21

Bitcoin's Short-Term Bear-to-Bull Transition: Will History Repeat Itself? | Invited Analysis

Odaily星球日报01/19 05:21

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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