Unit 3 · Level 2 · Copy-danger
Copy-danger: review
You now know why copying fails (lag, sizing, hidden context), how charts get painted (wash trading), and how traps target watchers (honeypots, bait wallets). The antidote to all of it is the same: signals generate hypotheses, verification kills the fakes, and your own risk rules size whatever survives. Let's stress-test that.
Free to play. No ads, no token, no account needed to start.
What you get asked
Which copy-trading failure is IMPOSSIBLE to fix, even with instant data feeds?
Speed, sizing and alerts are engineering problems. The invisible half of the strategy (hedges, information, exit plans) is structural. No feed shows you a mind.
A scammer's wallet sells a token back and forth to their own second wallet 20 times at €50,000 per trade. How much fake volume did they print, in euros?
20 × €50,000 = €1,000,000 of 'volume', all for the cost of some network fees. That's why raw volume numbers deserve zero automatic trust.
Match each trap to the check that defuses it
Every trap in this unit has a cheap, specific counter-check. The discipline is running the checks BEFORE the money moves.
When a signal becomes popular enough to be auto-followed, faking that signal becomes ___, so assume the most-watched metrics attract the most manipulation.
This is Goodhart's law with a wallet: a measure that becomes a target gets gamed. Popularity of a signal is a reason for MORE suspicion, not less.
Your friend found 'a wallet that never loses' and wants to auto-copy it with savings. Your best one-line advice?
Everything in this unit in one sentence. Use the wallet as a research lead if you like, but auto-copying it is handing your savings to a stranger, or to a trap. 🐜
The rest of this unit
Why blindly following 'smart money' is a trap, and what the signals are really for.