Copy Trading: Real Feature, Real Risk of Fabrication

Copy trading occupies an interesting middle ground in Felix Bick’s How Not to Get Scammed by AI Trading Apps — it’s a genuinely legitimate feature offered by some regulated platforms, but also a mechanism heavily exploited by fraudulent operations, and Chapter 23 helps readers tell the two apart.

Bick acknowledges copy trading’s legitimate side upfront: platforms allow users to automatically mirror the trades of a chosen “lead trader,” and some legitimate, regulated platforms offer this feature with appropriate risk disclosures. The core inherent risk, even in legitimate versions, is that past performance of a lead trader provides no guarantee of future results — a trader who has taken large risks that happened to pay off can appear far more skilled than they actually are.

The book then turns to the fraudulent version, which exploits the same fabrication techniques discussed throughout the book: a “lead trader” account with an impressive, entirely fictional track record, designed to attract followers whose deposited funds are then simply misappropriated rather than genuinely mirrored into real trades.

Bick offers a clear distinguishing test: verifying that a copy-trading platform is regulated, and that lead trader statistics are audited by the platform operator rather than self-reported by the trader, is the key distinction between legitimate and fraudulent versions of this product category.

This chapter is a useful reminder that a feature being genuinely legitimate in some contexts doesn’t mean every implementation of it is trustworthy — the underlying verification standard matters more than the feature category itself.

Readers interested in copy trading platforms specifically will find this chapter of How Not to Get Scammed by AI Trading Apps offers Felix Bick’s practical, actionable distinction between a feature worth using and a fraud vector to avoid.