๐Ÿ˜ Stock Market Elephant/The Graveyard Series
The graveyard series ยท part 6 of 6

The plateau test โ€” and the only clean data left on Earth

Sep 1, 2026 ยท 7 min read

Final part. Two ideas that changed how we think about every backtest we'll ever run.

1. Robust strategies live on plateaus

Take your strategy's two main parameters, sweep a grid around your chosen settings, and heatmap the results. A robust strategy shows a broad bright plateau โ€” many nearby settings work. An overfit one shows a lone bright spike: one magic cell surrounded by failure, meaning you didn't find an edge, you found a coincidence.

Ours plateaus wide: opening ranges from 20 to 60 minutes all work, filter settings from 0.10 to 0.25 all work, and the cliff (sub-10-minute ranges) has an economic explanation โ€” the market hasn't picked a direction yet. Meanwhile the seductive variants we'd rejected showed exactly the spike pattern: brilliant in one column, collapsing one parameter-step away. The heatmap made a week of statistics visible in one picture.

2. The contamination problem nobody talks about

Late in the project we found something exciting: re-optimizing the strategy quarterly โ€” letting it switch configurations as regimes change โ€” scored dramatically better out-of-sample. Every quarterly pick used only past data. Textbook clean, right?

No. The scheme never saw the future โ€” but we had. We chose which options to put in its menu after watching seven years of history, including the years it was then "tested" on. We put direction-switching on the menu because we'd seen it work in 2022. The scheme took honest exams that we wrote after reading the answer key.

Your backtest can be perfectly clean while your research process is contaminated. Every idea you tried and discarded, every chart you eyeballed before "deciding" the rules โ€” it all leaks future knowledge into what you chose to test.

The tell: rerun the adaptive scheme restricted to the menu we'd fixed before that research burst โ€” the advantage nearly vanishes. All the excess came from hindsight-chosen options.

Which leads to the ending every honest quant project reaches: after enough research, your historical data is spent. You've seen it; it can't surprise you anymore. The only uncontaminated data left is the future. So that's where we're going โ€” a pre-registered live paper campaign, decision rules written down before the first trade, no mid-stream edits. The backtest lab did its job: it killed eight bad ideas and certified two good ones. The market gets the final vote. It always did.

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.