Cross-Asset ETF Allocation

SPY
TLT
GLD
+2
5 assetslow risk1d

A bot that spreads your money across stocks, bonds, gold, and commodities, then shifts weight toward winners and away from losers.

byAmaltash Advisors LLC
Risk level
Low
Amaltash classification
Minimum
$1,000
to deploy
Licensing
None
no licensing fee
Advisory fee
up to 1.00%
a year

The idea

A bot that spreads your money across stocks, bonds, gold, and commodities, then shifts weight toward winners and away from losers.

This strategy spreads your exposure across four key asset classes — stocks, bonds, gold, and commodities — so no single market can derail your portfolio on its own. But it doesn't just hold everything equally and hope for the best. It actively tilts toward whichever assets are showing strength and pulls back from those that are struggling, letting the market itself guide where the weight goes. Think of it like a crew of four rowers: when one gets tired, the others pick up the slack — but if one is on a hot streak, they get to row a little harder. It trades both sides of the market where appropriate, making it versatile across different economic climates — rising rates, inflation spikes, equity rallies, or risk-off selloffs. The personality here is calm and methodical, not reactive or jumpy. It's built for investors who want diversification with a pulse — not a static buy-and-hold that just rides everything down together.

Design

How it works

  1. Automatically balances four different asset types

  2. Moves money to stronger performers each day

  3. Stays calm and methodical, not reactive

  4. Works in different economic conditions

Record

How long this strategy has existed

  1. Jul 20, 2026

    Strategy created

  2. Jul 20, 2026

    Version 9 created

This strategy has no live track record of its own yet. Results from accounts that deploy it are not combined into a single history.

Performance

Backtested results are for signed-in investors

We don’t publish hypothetical performance on public pages. Sign in to see this strategy’s backtest after the advisory fee and next to the S&P 500, with the assumptions and risks behind it. Backtested results are not returns any account earned.

Sign in to see the backtest

What it holds

5 assets

Unclassified: 80%COMMODITY CONTRACTS BROKERS & DEALERS: 20%5assets

Asset mix by sector

  • Unclassified80%
  • COMMODITY CONTRACTS BROKERS & DEALERS20%

Target weights for version 9. Actual positions vary as the strategy trades and are not shown here.

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, and this one has been through them. 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
6 Sep 2026when we last ran this strategy through them

When markets fall

The 2022 Slump

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

our model of the S&P 500 around 2022ends about 20% below where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
3 Jan – 30 Dec 2022
What the index did
fell 19.4%
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%. The index was down 25% at its October low, having staged two rallies of more than 10% on the way down, and a third of 14% into the year end.

The rules this strategy follows here

  1. 1
    What it holds

    5 companies.

  2. 2
    When it sells

    One of them drops 8% 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 Wild Swings of Late 2022

Violent rallies and sharp drops, ending roughly flat.

our model of the S&P 500 around Jun–Dec 2022swings about 13% either way, and ends about 2% below where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
30 Jun – 30 Dec 2022
What the index did
1.4% higher
How we run it
Real trading days

Essentially flat over six months, but by way of a 17% summer rally, a 17% autumn decline, and a 14% year-end rally. The destination was nowhere; the journey was violent.

The rules this strategy follows here

  1. 1
    What it holds

    5 companies.

  2. 2
    When it sells

    One of them drops 8% 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.

When markets go nowhere

When Tech Handed Over to Oil

Yesterday’s winners became 2022’s losers.

our model of the S&P 500 around 2021–22rises about 27% at its turn, then ends about 2% above where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
4 Jan 2021 – 30 Dec 2022
What the index did
2.2% higher

When markets rise

The 2020 Rebound

The market climbed about 76% in under a year off the COVID low.

our model of the S&P 500 around Mar 2020–Feb 2021rises about 85% at its turn, then ends about 78% above where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
23 Mar 2020 – 12 Feb 2021
What the index did
rose 75.9%

Sign in to see how this strategy did in each one.

The results open in your dashboard, where we can explain what they mean for you. They are simulated results, so we never show them here.

Open the stress tests

trade.amaltash.com/marketplace/cross-asset-etf-allocation?tab=stress

All ten markets

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

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.

Fees & minimums

What it costs

Licensing fee, once
None
Advisory fee, yearly
up to 1.00%
Minimum to deploy
$1,000

What $10,000 costs, at a flat balance

1 year

$100

3 years

$300

5 years

$500

The maximum advisory fee. Your actual fee rises and falls with your balance. Other costs, such as spreads and regulatory fees, may apply.

Documents

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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