REIT Momentum Sector

EQIX
DLR
WELL
+9
12 assetslow risk1d

A patient real estate bot that waits for strong uptrends, then trades property stocks with built-in safety brakes.

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 patient real estate bot that waits for strong uptrends, then trades property stocks with built-in safety brakes.

This strategy focuses exclusively on Real Estate Investment Trusts (REITs) and real estate sector ETFs — one of the most historically resilient corners of the market. It hunts for strong upward trends in property-related assets and only enters trades when the sector is showing genuine momentum, sitting out during choppy or declining market conditions. The strategy trades long-only, meaning it profits when real estate stocks rise and steps aside when they fall — protecting your capital rather than fighting the market. Think of it like a patient landlord: it doesn't chase every opportunity, but when the conditions are right — rising property demand, sector rotation into real estate, or broad market stability — it moves in with conviction. Imagine the strategy watching a REIT ETF quietly consolidate for weeks, then suddenly break higher as interest rate fears ease and institutional money floods into property assets. That's exactly the kind of setup it's built to catch. Drawdown is managed with a hard ceiling of around 20%, meaning the strategy is designed to cut exposure before losses spiral — prioritizing capital preservation alongside return potential. It's built for investors who want real estate market upside without the complexity of owning physical property or analyzing individual landlords.

Design

How it works

  1. Focuses only on real estate stocks and ETFs

  2. Enters trades only when sector is clearly moving up

  3. Sits on the sidelines when conditions aren't right

  4. Cuts losses before they get too big (max 20% loss)

Record

How long this strategy has existed

  1. Jul 19, 2026

    Strategy created

  2. Jul 19, 2026

    Version 12 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

12 assets

REAL ESTATE INVESTMENT TRUSTS: 90.4%Unclassified: 9.5%12assets

Asset mix by sector

  • REAL ESTATE INVESTMENT TRUSTS90.4%
  • Unclassified9.5%

Target weights for version 12. 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 COVID Crash

A third of the market’s value gone in a month — most of it overnight.

our model of the S&P 500 around Feb–Mar 2020falls about 34% at its worst, then ends about 14% below where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
19 Feb – 23 Mar 2020
What the index did
fell 33.9%
How we run it
Real trading days

The fastest fall of that size on record: 23 trading days from an all-time high to the bottom. Much of it happened overnight — big companies opened 8-12% below where they had closed the day before.

The rules this strategy follows here

  1. 1
    What it holds

    12 companies.

  2. 2
    When it sells

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

  3. 3
    What it does

    It sells that one. The rest carry on.

On nine days here, the market opened far below where it closed the day before.

An order set to sell at 6% down can end up selling far below that. If the market opens below that price, there is no chance to sell at it. That is what this market is here to show, and why we keep it in the set.

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
How we run it
Real trading days

The index gained 27% in 2021 and gave almost all of it back in 2022, finishing the two years roughly where it began. Underneath that flat line the leadership inverted: technology, the index's largest sector, contributed most of the 2021 gain and was among the hardest hit in 2022, while energy was 2022's best-performing sector by a wide margin.

The rules this strategy follows here

  1. 1
    What it holds

    12 companies.

  2. 2
    When it sells

    One of them drops 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.

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%

When markets rise

The Quiet Year

2017 — the calmest year the market has recorded.

our model of the S&P 500 around 2017ends about 12% above where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
3 Jan – 29 Dec 2017
What the index did
rose 19.4%

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/reit-momentum-sector?tab=stress

All ten markets

  • The Bull Run of 2016–17When markets rise · modelled Tested
  • The 2020 ReboundWhen markets rise Tested
  • The 2022 SlumpWhen markets fall Tested
  • The COVID CrashWhen markets fall · shown above 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 Tested
  • The Quiet YearWhen markets rise · shown above Tested
  • The Magnificent Seven YearWhen markets go nowhere · shown above 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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