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#数字资产市场动态 A trader's personal experience has given me a lot of inspiration. He used 100,000 USDT to tear through the market, ending up with only 5,000 USDT. During that time, he was trading high-frequency every day, making 50 trades a day, with fees eating into the principal; sometimes holding onto bullish trends stubbornly, forced to add positions; and a few times FOMO-ing into the market, going all-in after seeing others post hundredfold coins, only to wake up and find his account turned into a numbers game. Staying up at 3 a.m. watching the charts, cigarette butts piled up—those are the daily routines of losers.
But after dropping to 5,000 USDT, things turned around. He came to me to discuss strategies, and I pointed out three key points:
**First, give up short-term reckless trading.** Don’t look at 1-minute K-lines, only focus on the big picture at the 4-hour level. Better to miss small opportunities than to make trades that send you to the slaughter. Limit yourself to no more than 3 trades per day; if you get itchy, go exercise offline instead of clicking randomly on the chart.
**Second, manage risk with tiered levels.** Invest only about 10% of your principal in the first position; take out half of the profits once you gain 20%, and use a trailing stop to protect the rest. If losses reach 5%, cut the position immediately—no adding more to deceive yourself.
**Third, cut losses after consecutive failures.** After two stop-loss trades, shut down the platform to prevent emotional revenge trading.
He followed this framework, and in three months, he recovered his losses. The key isn’t about how accurate your market predictions are, but about losing the least when you do lose.
I’ve seen too many people say, "Hold on five more minutes and I’ll break even," only to see their accounts go to zero. The cold truth of the crypto market is—without disciplined stop-loss, you are just meat on the chopping block. 99% of liquidations stem from a lack of discipline. Open your trading records and review them; you’ll learn more than from any analysis article.