How to Read the Portfolio Signal

Read the allocation before the explanation

The portfolio signal answers one narrow question: how much of the model’s risk budget is currently in use?

Suppose the dashboard shows 60% stocks, no gold, no bitcoin, and 40% cash. It is not telling every reader to copy those weights. It is showing that the model has spent the full stock sleeve, turned off gold and bitcoin, and left the unused exposure in cash.

The SEC’s guide to asset allocation and rebalancing is a good baseline because it keeps the conversation grounded. Allocation is a process. Rebalancing is a process. The dashboard is an input into that process, not a substitute for knowing your own tax situation, account type, or spending needs.

Actual weight What the model portfolio currently owns.

% max exposure How much of each sleeve risk budget is being used.

Cash Unused exposure, not a permanent market call.

Change date When the evidence last moved the signal.

Percent of maximum exposure is the useful part

Actual weights are easy to understand. Percent of maximum exposure is more useful for adapting the signal.

The dashboard’s reference maximum-risk portfolio uses maximum sleeves of 60% stocks, 30% gold, and 10% bitcoin. It is an illustrative model, not a universal definition of risk. If stocks show 50% of maximum exposure, the model wants half of the stock sleeve. In the reference portfolio, that would be 30% stocks.

This lets a reader with a different base allocation scale the signal without copying the model dollar for dollar. If your personal plan allows 40% stocks instead of 60%, then 50% of max exposure points to 20% stocks, not 30%.

That is the bridge between a public model and a personal portfolio. The model gives the exposure percentage. Your plan supplies the base allocation.

Ask what changed

After you read the weights, ask why the exposure changed.

Was the top-down market regime more supportive? Did VAMS improve for one asset? Did the broad-dollar or credit inputs change? Liquidity and macro GRID may help explain the backdrop, but they do not directly change KISS allocation. A move confirmed across independent allocation domains deserves more respect than one driven by a cluster of similar inputs.

AQR’s paper on trend following is useful background here. Trend is not magic. It is a disciplined way to admit that markets can keep moving in the same direction longer than a narrative expects.

1. Read the weights How much stock, gold, bitcoin, and cash is currently shown?
2. Read percent of max Is each sleeve full, partial, or off?
3. Check the reason Was the change top-down, bottom-up, or both?
4. Map it to your plan Use your own constraints before changing anything.

Do not skip your own constraints

The dashboard cannot know your tax basis, retirement date, cash needs, account mix, or emotional tolerance. Those constraints matter.

A taxable investor with large embedded gains may translate a signal differently than a retirement account with no tax friction. An early retiree may care more about sequence risk than a younger accumulator. A reader using the dashboard as a second opinion may move more slowly than the model.

That is not a flaw. It is the difference between a signal and implementation.

Use it as a map, not an instruction

Read the portfolio signal as a risk-budget map.

The dashboard shows how much of each sleeve’s maximum exposure the evidence supports. You still have to map that signal to your allocation, taxes, spending needs, and ability to stick with the plan.

For the complete separation between allocation inputs, context, diagnostics, and display-only metrics, see the methodology and change record.