Portfolio Lab
Tactical Preview

Does switching on signals pay off?

Tactical models move money by fixed rules, for example out of stocks when the price drops below its moving average. Portfolio Lab tests eleven such models against buy and hold.

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Free during the beta, no ads and no subscription. Once you sign in, this page opens the tool.

How it works

With trend following, a building block stays invested as long as its price is above its average of the last few months; otherwise the money moves to a safe asset. Momentum models pick the building blocks that did best over the last few months, and target volatility adjusts the stock share to the volatility.

Every signal uses only prices up to that month end, with no look into the future. Trades happen at month end or one month later, with trading costs per order. The comparison is the base portfolio, simply held and rebalanced monthly.

Tactical rules often promise smaller drawdowns but cost return in long bull markets. Because you can try out many rules, the overfitting check tests whether a good result might be luck.

What a result looks like

Sample data

Made-up sample data, no real prices and no recommendation. Calculated with the same methods as the tool itself.

Inputs in this example

Locked: you can't change the inputs in the preview.

Model
Moving average (trend following)
Building block
Global equities
Moving average
10 months
Interest on cash
2% p.a.
Trading costs
0.1% per order
Execution
at month end

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CAGR6.7% / 8.1%
Max. drawdown-19% / -34%
Switches37
Time in the market68%

Tiles: model / buy and hold. Switches = months in which the model changes its allocation.

Key metrics

From the first trade (09/2006), calculated monthly.

MetricTrend following (10 months)Buy and hold
Final value$34,666$45,001
CAGR6.7%8.1%
Volatility p.a.12.2%14.3%
Max. drawdown-19.2%-33.6%
Sharpe ratio0.430.48
Sortino ratio0.700.77
Best year25.1%25.1%
Worst year-6.4%-25.1%

Performance

$10,000 at the start, after trading costs.

Trend following (10 months)Buy and hold

Decline from peak

Trend following limits deep drawdowns but misses part of the recovery.

Invested or cash

Share of Global equities in the model each month.

Global equitiesCash

Assumptions: Signal at month end from made-up prices, traded at the same closing price (slightly optimistic), cash earning 2% p.a., trading costs of 0.1% per order, no taxes.

Frequently asked questions

What is tactical asset allocation?

A strategy that changes the weights based on signals instead of keeping them fixed. The goal is usually to avoid large losses or to ride strong trends.

How does the moving average work as a signal?

At month end the price is compared with its average over the last few months, often 10 months. If it's above, the money stays invested; otherwise it moves to cash or bonds.

Does trend following beat buy and hold?

Not reliably. In long crises it has often limited losses; in sideways markets false signals and trading costs eat into returns. The backtest shows both for your building blocks.

What is overfitting?

When a rule is tuned to the past until it shines there but really just captures noise. The overfitting check estimates how likely that is.

Learn more in the knowledge base

Run it with your own portfolios

Create an account, confirm your email and use this tool with real prices and your own ETFs.

Price
Free during the beta
Data
Prices, interest rates, inflation and factors from public sources
Privacy
Servers in the EU, no ads, statistics without cookies
Devices
Computer and phone, everything saved in your account

All numbers and charts on this page are based on made-up sample data, not on real prices. Not investment advice: results in Portfolio Lab are model calculations based on historical data and your inputs. Past performance is not a reliable indicator of future results.