Why a popular crypto strategy should not be trusted at face value.

A high view count means a strategy reached a large audience; it does not mean the strategy has positive expectancy. If a video shows entry conditions in detail but omits stop rules, execution assumptions, fees, and losing regimes, the strategy cannot be reproduced faithfully.

First, write the rules down precisely

Rules such as “enter when the chart looks good” are too subjective to test. Entry, exit, timing, data cutoffs, and cost assumptions should be specified in advance, then applied consistently to both historical and future periods.

Do not cherry-pick the good examples shown in a video.

Do not validate a strategy with only a few attractive charts. Include every case that met the rule—including losing trades, sideways regimes, sharp reversals, and low-liquidity periods—to reduce selection bias.

A clean in-sample result still has to survive OOS.

We separate the data used to develop the idea from the data used to evaluate it, then stress the result with less favorable fees, spreads, and slippage. If performance disappears under small changes in assumptions, the apparent edge may come from optimistic assumptions rather than the strategy itself.