Everyday Consumer Goods

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8 assetslow risk1d

Buys popular household-name stocks when they're trending up, sells when momentum fades.

byAmaltash Advisors LLC

Price

$150

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The idea

Buys popular household-name stocks when they're trending up, sells when momentum fades.

This strategy bets on the stocks everyday Americans keep spending on — no matter what the economy is doing. Think Amazon, McDonald's, AutoZone, Home Depot, and a handful of other household names that tend to hold up even when times get tough. The idea is simple: only ride a stock when its long-term trend is pointing up, and step aside the moment that momentum fades. It's a long-only strategy, meaning it profits when prices rise and moves to cash when they don't. Think of it like a patient shopper who only buys when the sale is real — and walks away the moment the deal goes sour. If a stock surges well beyond expectations or starts sliding too far, the strategy locks in gains or cuts losses automatically. This isn't a strategy that trades in and out every day. It's selective, disciplined, and built around the idea that consumer spending is one of the most durable forces in the market.

Design

How it works

  1. Focuses on well-known consumer brands people buy no matter what

  2. Only holds stocks when their year-long trend is positive

  3. Automatically sells when the uptrend breaks or locks in big gains

  4. Stays in cash when conditions aren't favorable

Conditions

Where it works, and where it doesn't

Every strategy is built for a particular kind of market. These are the conditions this one is designed around — and the ones it is not.

Built for

  • When the overall market is climbing steadily for months at a time
  • When consumer spending stays strong and these brands keep growing
  • When the bot can ride a stock up for weeks or months
  • When it exits before a major price drop happens

Not built for

  • When the market crashes suddenly and these stocks fall fast
  • When prices bounce around sideways without a clear direction
  • When the bot exits too late and misses some downside protection
  • When consumer spending weakens and these stocks lose momentum quickly

The Simulation Lab

Ten bad markets, before your money is in one.

Almost anything looks good in a rising market. That is not a test. So we put the strategies listed here through the same ten bad markets — though this one has not been through them yet. They are stretches of real market history, with names and dates: the 2022 slump, the COVID crash, a year that went nowhere. We picked them before this strategy existed.

Two of them are below. Each one shows our drawing of what that market looked like, and the rules this strategy follows when a market like it turns up. None of this is a score. What actually happened to the strategy is in your dashboard, not on this page.

10bad markets, picked before this strategy existed
8 of 10can run on the real trading days of the time they name
2 of 10we model ourselves, and we mark them as modelled

When markets fall

The 2022 Slump

A full year of falling prices as interest rates shot up.

our model of the Nasdaq 100 around 2022ends about 33% below where it begana shape, not a scale · not this strategy

Index
Nasdaq 100
The real dates
3 Jan – 30 Dec 2022
What the index did
fell 33%
How we run it
Real trading days

A full year of lower highs as the Federal Reserve raised rates from near zero to over 4%. Four separate rallies of 10% or more along the way, every one of which failed.

The rules this strategy follows here

  1. 1
    What it holds

    8 companies.

  2. 2
    When it sells

    One of them drops 5% to 6% below the price it was bought at.

  3. 3
    What it does

    It sells that one. The rest carry on.

No overnight drops in this market.

When markets go nowhere

The Magnificent Seven Year

A handful of big names carried 2023; most stocks didn’t.

our model of the S&P 500 vs its equal-weighted twin around 2023ends about 8% above where it begana shape, not a scale · not this strategy

Index
S&P 500 vs its equal-weighted twin
The real dates
3 Jan – 29 Dec 2023
What the index did
rose 24.2%
How we run it
Real trading days

The cap-weighted index rose 24% while the equal-weighted version managed under 12%: a handful of very large names carried almost the whole gain and the median stock did little.

The rules this strategy follows here

  1. 1
    What it holds

    8 companies.

  2. 2
    When it sells

    One of them drops 5% to 6% below the price it was bought at.

  3. 3
    What it does

    It sells that one. The rest carry on.

No overnight drops in this market.

A market that ends where it started still charges you for every trade made inside it. This is where the cost of trading adds up fastest. That is why it sits in the set right next to the crash.

This strategy has not been through the lab yet.

All ten markets

  • The Bull Run of 2016–17When markets rise · modelled
  • The 2020 Tech BoomWhen markets rise
  • The 2022 SlumpWhen markets fall · shown above
  • The COVID CrashWhen markets fall · shown above
  • The Christmas 2018 ScareWhen markets fall
  • The Year That Went NowhereWhen markets go nowhere · modelled
  • The Wild Swings of Late 2022When markets go nowhere
  • The Quiet YearWhen markets rise · shown above
  • The Magnificent Seven YearWhen markets go nowhere · shown above
  • When Tech Handed Over to OilWhen markets go nowhere

These ten are the whole set. We picked them for the damage they did — the fastest crash on record, a year that went nowhere, a grind that punished every rally — not for how they make anything look.

8 of these 10 can run on the real trading days of the time they name. We model the other 2 The Bull Run of 2016–17 and The Year That Went Nowhere. A strategy needs a stretch of history to warm up on before a test starts, and our price data does not go back far enough to give these that. So we built stand-ins that behave like those years, rather than replays of them. A modelled market is not a forecast, and it is not what would have happened. The shapes drawn above are our models of those markets — never this strategy — and they have no scale. The dates and index moves next to each one are the real figures for the period it is modelled on. Nothing on this page says how any strategy did in these tests.

Holdings

What it holds

A few of the 8 positions this strategy trades. Sign in to see the full basket and the weights behind it.

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Risk Disclosure: Trading in financial instruments involves substantial risk, including the possible loss of your entire investment, and may not be suitable for all investors. Prices can be affected by external factors such as financial, regulatory, or political events. Trading on margin or with leverage increases potential losses. Past performance is not indicative of future results.

Not Financial Advice: The information provided on this platform is for informational purposes only and does not constitute investment, financial, or trading advice. We do not recommend any particular trading strategy or instrument. Please conduct your own research and consult with a qualified financial advisor before making investment decisions.

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