Gate Square “Creator Certification Incentive Program” — Recruiting Outstanding Creators!
Join now, share quality content, and compete for over $10,000 in monthly rewards.
How to Apply:
1️⃣ Open the App → Tap [Square] at the bottom → Click your [avatar] in the top right.
2️⃣ Tap [Get Certified], submit your application, and wait for approval.
Apply Now: https://www.gate.com/questionnaire/7159
Token rewards, exclusive Gate merch, and traffic exposure await you!
Details: https://www.gate.com/announcements/article/47889
#比特币价格上涨 Seeing this news, I have to be honest — the failures of big V predictions actually provide us with quite a bit of insight for our copy trading.
Saylor, Tom Lee, Arthur Hayes — these influential figures in the community — their calls of $250,000 and $200,000 earlier this year certainly attracted many people. But in the end, none of those targets were reached. Hayes himself admitted that his predictions were "quite poor," and this honesty actually earns my respect a bit.
The key lesson here is: **Don't blindly follow the opinions of big V influencers; instead, focus on their trading strategies and risk management logic.**
Predictions are inherently a game of probabilities. Failing to hit the mark isn't shameful, but if you become overly optimistic about the long term and ignore risks, that’s a major trading taboo. My criteria for selecting traders are never about how aggressive their price targets are, but three points:
**First, execution of stop-loss** — can they decisively cut losses when the market moves beyond expectations?
**Second, position management** — even if they are bullish, they won't go all-in.
**Third, strategic flexibility** — after expectations are disappointed, can they quickly adjust instead of stubbornly sticking to their views?
The market in 2025 will obviously be more complex than these big V influencers anticipated. Instead of chasing those pretty price predictions, it’s better to find traders who have a say on real account statements and follow their rhythm. Practice makes perfect, and data will speak.