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Four models read every name. Three must agree before anything is held.

That rule is the whole method. We publish every part of it, and nobody overrules it by hand, including me.

Four models, each wrong about different things.

Each model reads the market a different way, and each has conditions it handles badly. Requiring three of the four keeps one model’s blind spot out of the portfolio.

Machine learning

Reads

The name’s own price, with bonds, the dollar, and credit around it.

Falls short

When a move runs further than history allows. It then turns cautious too early.

Neural network

Reads

The same evidence, learned a different way, through recurring shapes over short and long spans.

Falls short

When that evidence misleads, because it shares it with the machine-learning model.

Trend

Reads

Price, and nothing else.

Falls short

At turning points, where it is always late, and in choppy markets that go nowhere.

Market regime

Reads

The state of the whole market: risk-on, risk-off, or neither.

Falls short

On single names. It can read the season right and one company wrong.

Three of four, or cash.

A name enters the portfolio only when its own signal is long and at least three of the four models agree. It leaves when either test fails: its signal turns flat, or fewer than three models agree. The money then waits in cash.

Cash is a position here, not a leftover. The portfolio is long only, never levered, and scaled to a volatility target.

How a portfolio gets built.

1. Once, when a name joins

We publish the list of names. Each name gets its own line-up: the models whose reading sets its signal, long or flat, chosen by what did best over its own history.

2. Every night

The four models read every name. We lock each reading the moment it sends, and it stays readable afterwards.

3. Every Monday

Up to ten names that pass the rule become the portfolio. We size each by its risk and cap it, so no single name decides the year.

4. Every trading day

The sell check runs before the open. A holding leaves when its signal turns flat or agreement drops below three of four. Smaller weight changes wait for Monday.

One real portfolio: 3 August 2026.

The first Macro & Megacaps portfolio held ten names and kept 20.9% in cash. Three names sat at the 15% cap.

HYG15.0%
LMT15.0%
XLF15.0%
EEM11.7%
NVDA10.4%
IGV10.0%
ANET6.2%
OKTA5.7%
LRCX5.6%
SNOW5.4%

Each weight as a share of the invested 79.1%.

What to know before you start.

Cash can be large.

When fewer names pass the rule, the portfolio holds more cash. Expect stretches where a large share sits in cash by design.

It is concentrated.

Ten holdings at most, and often fewer. Macro & Megacaps averaged 8.4 in the backtest.

It trades every week.

The backtest takes out trading costs, about 0.9% a year for Macro & Megacaps. It does not model tax, which in a taxable account is real.

You place the trades.

We publish the portfolio as research: tickers and weights. It is not a managed account and not advice.

All four can be wrong.

Three of four agreeing is a high bar, not a guarantee. There will be months when the models are wrong together.

The live record is young.

The portfolios began on 3 August 2026. Everything before that date is backtest, and we label it that way everywhere.

Your first 30 days of the Systematic Portfolios are free.

You get each morning’s portfolio, and the Multi-model Signals behind it, from the first day. Cancel before the 30 days end and you pay nothing.