๐Ÿ˜ Stock Market Elephant/The Graveyard Series
Archived: written before this publication started in November 2026. Some claims and numbers are older than the posts under Writing.
The graveyard series ยท part 3 of 6

The graveyard: eight popular ideas my data killed

Aug 11, 2026 ยท 8 min read

Everything below is taught, sold, and repeated across trading social media. I implemented each one mechanically and ran it through the gates on ~1,900 real MNQ sessions. All eight failed. Bring flowers.

IdeaWhat happened
"Wait for the pullback" (retest entries)โˆ’35% profit. The best breakouts never pull back.
Volume confirmation on the breakout candleHigher win rate, same money โ€” a wash at best
Daily volume filterCollinear with volatility โ€” zero new information
Trend filter (only trade above the 20/50-day MA)Deleted winners, kept losers; win rate unchanged
Fixed tight stops (5โ€“15 pts)Catastrophic: win rate 2โ€“12%
Stop under the breakout candle ("structural stop")Sharpe โˆ’2.2. Worse than random.
Move to breakeven quickly / trail tightNoise tags breakeven, ejects future winners
VWAP-tag entries with tight stopsFires constantly, dies constantly
fixed-tick stops-2.6 to -9.3candle stop-2.08VWAP retest-0.65 bestRT levels v1 @1m-0.61gold ORB+0.11 PBO 33%afternoon ORB+0.22midline stop @1m+0.25crude ORB+0.25, fails slip1R re-pick familyPBO 93%champion+0.66 passedSharpe 0 โ€” everything left of this line loses money
The whole graveyard on one axis (out-of-sample or full-sample Sharpe, best config per family, 1-minute-audited where marked). The gap between the champion and everything below it is the entire story of this series.

The pattern in the failures

Half of them die by the same sword: stop scale. A 5-minute bar of NASDAQ noise is 20โ€“40 points. Any stop inside that band โ€” under the candle, a fixed 30 points, a fast breakeven โ€” gets executed by randomness, not by being wrong. If your edge is built on a ~100-point structure, your stop must live at that scale. "Tight stop = small risk" is the most expensive sentence in retail trading; what it actually equals is high probability of a random loss.

The other half die by cutting the right tail. Pullback entries, early profit-taking, trailing stops โ€” each converts a few big winners into many small outcomes. Feels safer. Costs everything, because in a ~50%-win strategy the entire profit lives in the tail you just amputated.

Not one of the eight survived contact with an honest train/test split. Several looked brilliant in-sample first โ€” which is exactly the trap.

A note on the trader I borrowed three of these ideas from: his discretionary results may well be real. But whatever makes them real lives in the parts that don't systematize โ€” level selection, timing feel, news awareness. The mechanical rules he states, applied mechanically, lose. Worth knowing before you copy anyone's playbook verbatim.

Educational content only โ€” not financial advice; no performance promised or implied. All results are backtests on real CME MNQ data (2019โ€“2026, ~1,900 sessions, realistic costs) and backtests differ from live trading. Futures involve substantial risk of loss.