META · the control that convicts the industry
Hypothesis
Meta-entry. Any long entry rule with SL −1.5% / TP +3% evaluated in our window should be benchmarked against firing the same trade at RANDOM times: if a "strategy" cannot beat random, its content is zero.
Math — the bar every setup must clear
Expected net of a random 2:1 long with win probability $p$:
$$ \mathbb{E}[r] = p\cdot 3\% - (1-p)\cdot 1.5\% - 0.20\% $$
Random timing in our window realizes $p=0.38$ → $\mathbb{E}[r]=-0.17\%$: the friction floor.
Method
5,517 pseudo-random long entries (fixed grid) + 1,713 random entries conditioned on an active uptrend, identical exits, identical friction, same 30-symbol universe and 84 days as the whole N-109…N-116 series.
Results
| Random 2:1 long | −0.17%/trade · t = −8.0 |
| Random long in uptrend context | −0.18%/trade |
| Course setups that beat random | 2 of 8 |
| Course setups worse than random | 1 (liquidity sweep) |
What this audit actually shows
- Six of eight setups sold as "top strategies" in $500–$2,000 courses are indistinguishable from or worse than random trading after realistic fees.
- The two survivors (order block, golden pocket) are re-brandings of the oldest documented effect in the book — momentum pullback — and their marketing never mentions the mechanical conditions under which they test positive.
- Win-rate screenshots, discretionary "confirmation", and unfalsifiable smart-money narratives are how a −0.2%/trade pattern is packaged as a livelihood.
The product being sold in most retail trading courses is hope with a fee schedule. If a vendor will not show you n, friction assumptions, and a random-entry control, you are the exit liquidity.
Demand three numbers from anyone selling a strategy: sample size, net-of-fees expectancy, and performance versus a random control with the same risk structure. Refusal is the answer.