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Calculation window

UPDATED 2026-10-06

The calculation window is how many months of past data an allocation method reads when it computes weights — the lookback that feeds its volatility, correlation, beta and ranking calculations at each rebalance. History older than the window has no influence on the weights. In the strategy editor the field is labelled In-sample.

Also seen as: In-sample, lookback, lookback window, in-sample period, estimation window

How does Fincanva handle it?

  • The default is 12 months. The field takes whole months with a minimum of 1 — limited to the seven values above for the methods that read annualised volatility — and the unit shown beside it is "mo".
  • The window belongs to the allocation profile, so a strategy that has a Risk-Off allocation can read one window in Risk-On and a different one in Risk-Off.
  • Beta neutral carries a second, separate window — its Ranking calculation window — for the metric it ranks on, while the profile's calculation window controls its beta estimation. The app spells the split out: "How far back the ranking metric reads — distinct from the Calculation window above, which controls the beta-estimation window."
  • Changing the window changes a strategy's inputs, so the backtest has to be run again before the results reflect it.

What does the calculation window change?

The calculation window changes the weights a method produces without changing the method itself, because it changes the span of history the method measures over. The app's own note reads: "Historical window used by the active method for volatility, correlation, beta, and similar calculations. Default 12." A short window makes the weights react quickly to recent conditions and shift noticeably from one rebalance to the next; a long window averages across more market regimes and produces steadier weights that respond slowly. Neither is more correct than the other — they answer different questions about the same instruments.

The window is measured backwards from each rebalance date inside the backtest, not from today, so a method using a 12-month window at a rebalance in March 2015 reads 2014–2015 data, not recent data.

Which allocation methods read the calculation window?

Reads the windowIgnores the window
Inverse volatility · Risk parity · MPT (Markowitz) · Min correlation · Mimicking · Beta neutral · Max diversification · HRP · HERC · NCO · Min MAD · Min CVaR and Scenario CVaR · CDaR · EVaR · Robust worst case · Stochastic programmingEqual weights · Fixed weights · Floating · Market cap

Ranking-based is the conditional case: it reads the window when its ranking metric is Price Change, Volatility or Sharpe ratio, and ignores it for Average Momentum and P/E Ratio. When the active method does not read the window, the In-sample field is not displayed at all — there is nothing for it to set.

Which window lengths can you choose?

A method that reads annualised volatility over the window accepts only 1, 2, 3, 6, 12, 18 or 24 months; every other method takes any whole number of months from 1 upward. The seven-value case covers:

For those methods the field is a menu of the seven values rather than a number you type. A strategy saved earlier with another value still opens and still saves — the menu shows that value as the current, greyed-out item — but its backtest does not start: the strategy alert "The strategy does not run with this in-sample period" blocks it until you pick one of the seven. On a strategy holding a single picked instrument, Inverse volatility and Min correlation have nothing to weigh and never read the window, so the alert stays silent there.

What does it look like in practice?

A strategy holds five ETFs and uses Inverse volatility, which gives each holding a weight inversely proportional to its risk. With the calculation window at 6 months, the weights are set from the last six months of returns: an ETF that was turbulent through that half-year but calm before it measures as high-risk and receives a small weight. Change the window to 24 and that same turbulent half-year is averaged against eighteen quieter months, so its measured volatility falls and its weight rises. Same method, same five ETFs, same rebalance date — a different allocation, purely because the method was shown a different span of history.

Used in 28 pages

Fincanva is for education and illustration only. It is not personalised financial advice, and past or simulated results do not predict future ones. Read the Terms Addendum

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