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·3 min read·BestFolio Research Team

Updated

What the backtest years column does, and does not, prove

A backtest return without a history length is missing part of its denominator. BestFolio shows the tested years beside the performance metrics because 17.16% over 76.8 reconstructed years and 19.94% over 30.7 years do not carry the same historical evidence, even when both computations are internally consistent.

Distribution of 201 safe withdrawal rates with percentile markers: P10 4.59%, median 6.73%, P90 11.16%, maximum 19.64%
The spread from 4.59% to 19.64% mostly measures history length, not skill.

The years column is not a quality score. More years do not make a strategy good. Fewer years do not make it false. The column tells the reader which market environments could have influenced the result and which ones were absent.

Reconstructable history is not live-fund age

Inflation Compass uses modern sector funds and a modern breakeven series, yet its card reaches from January 1950 through October 2026. The early decades rely on point-in-time macro inputs and asset proxy chains. The 76.8-year figure describes the reconstructed rule history, not the age of the current ETFs.

TQQQ Quadrant Stack covers January 1996 through October 2026, or 30.7 years. The portfolio contains funds that launched later than 1996, so its earlier returns also depend on reconstructed underlying exposures. That history can test the rule through the dot-com decline, the financial crisis, and later markets. It cannot become a live track record by being precise.

The two histories on their live cards
BacktestHistory on the cardYearsCAGR
Inflation CompassJanuary 1950 to October 202676.817.16%
TQQQ Quadrant StackJanuary 1996 to October 202630.719.94%

The honest label is therefore backtest years. It is the period for which the complete strategy can be reconstructed under the published assumptions.

What a longer window can add

Additional history expands the set of possible failure regimes. A strategy beginning after 2003 cannot show how its rule behaved during the inflation and rate shocks of the 1970s and early 1980s. A strategy beginning in 1987 cannot show a retirement sequence beginning in 1929 or 1966.

This matters for every metric, but it is especially visible in withdrawal research. The BestFolio engine gives a classic 60/40 portfolio beginning in 1922 a 3.82% safe withdrawal rate. In September 2026, when BestFolio's US stock card began in December 1987, it reported 7.07%. The later sample is not forced to survive either of the older portfolio's floor cohorts.

The difference does not tell us what the next retirement will look like. It tells us why the historical floors cannot be compared without the start dates.

What a longer window can distort

Deep history often increases the distance between the model and an investable portfolio. Modern ETFs may be replaced by indexes, mutual funds, academic factors, or synthetic return series. Fees, spreads, tax treatment, and asset availability can differ materially from today's implementation.

Older macro data can introduce another problem. A current series may include later revisions that were not known at the time. A defensible reconstruction uses point-in-time information where possible and states when it cannot.

Length therefore adds regime coverage while often adding proxy risk. The years column cannot resolve that tradeoff on its own. It tells the reader where to ask the next question.

3 labels belong together

A strategy card is easier to interpret when 3 facts are visible:

  • Backtest period: the start and end dates for the complete reconstructed rule.
  • History length: the years between those dates.
  • Data construction: the live funds, indexes, proxy chains, and timing assumptions used across the period.

The 1st 2 are compact enough for a leaderboard. The data construction belongs in the methodology and strategy detail because it cannot be compressed into one number.

Use years as a filter, not a ranking

Sorting by history length can help find strategies that encountered more regimes. It should not award automatic credibility to the longest row. A simple flawed rule can be tested for a century. A well-specified newer strategy can have a shorter but cleaner investable history.

I use the column as a filter for claims. A double-digit withdrawal rate from a post-1990 sample needs a louder warning. A smooth inflation strategy tested only after 2003 has not met the regime it claims to solve. A leveraged portfolio reconstructed before its funds existed needs its proxy method beside the chart.

The years column does one job: it stops the return, drawdown, or withdrawal rate from floating free of the market history that produced it. That does not make the metric complete. It makes the missing questions visible.

Explore the BestFolio leaderboard and read the data methodology.

Correction, 13 October 2026: the synthetic history of GDE before its March 2022 launch now matches the fund's 90/90 exposure (90% S&P 500 and 90% gold futures), so TQQQ Quadrant Stack's card was rerun and its CAGR here is restated to 18.48% (was 18.57%). The history windows are as published.

Correction, 15 October 2026: the managed-futures history before KMLM and DBMF launched now uses the BTOP50 index, so TQQQ Quadrant Stack's card was rerun again and its CAGR here is now 19.04% (was 18.48%). The history windows are as published.

Past performance does not guarantee future results. Backtested results are hypothetical and do not represent actual trading.

Corrections

  • : Figures updated to the current cards. The withdrawal-rate chart is redrawn on the 201 live backtests (P10 4.59%, median 6.73%, P90 11.16%, maximum 19.64%; was 187, 5.02% to 15.07%). The Quadrant Stack sentence now matches its card (January 1996, 30.7 years), and the 7.07% US stock figure is dated: that card has started in 1900 since 11 October.
  • : The 17 October 2026 restatement opened Inflation Compass in January 1950 (76.8 years, 17.16%) and TQQQ Quadrant Stack in January 1996 (30.7 years, 19.94%); the example figures now match the cards.
  • : Card figure restated on 15 October 2026: the managed-futures history before KMLM and DBMF now uses the BTOP50 index, so TQQQ Quadrant Stack's CAGR is now 19.04% (was 18.48%).
  • : Figures restated 13 October 2026: the synthetic GDE history before March 2022 now matches the issuer's 90/90 exposure; card figures updated.
  • : The 28 September correction updated the text to the 187-row snapshot but left the distribution chart and its caption on the 24 September 186-row figures (P10 4.66%, maximum 15.56%). Chart redrawn from the same 28 September snapshot as the text (P10 5.02%, median 6.91%, P90 11.14%, maximum 15.07%), new filename; caption and alt text aligned.
  • : Figures restated on 28 September 2026 (release e9a2a80: backtests hold positions between signals, and pre-1990 fund histories now include dividends and income). Numbers updated to the live strategy cards; the argument is unchanged.

Figure sources

The strategy figures in this post were read from these published backtest runs. Each strategy page shows its latest run, which may differ.

  • tqqq-quadrant-stack (tqqq-quadrant-stack-standard), backtest run of 1996-11-29 to 2026-10-16. Engine drift-until-flip-v1, data version cdaa8b7b, published 2026-10-15.

Written with the help of AI tools and reviewed before publication.

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Study dates and assumptions are documented in the article and its revisions. Our current methodology explains the platform's data sources, proxy histories, trade timing and inflation treatment.

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