REIT Momentum Rotation

Name: REIT Momentum Rotation
Price: 150 USD
Availability: InStock
Author: Amaltash Advisors LLC

5 assetslow risk1d

Buys real estate stocks when the market's been climbing, sells when momentum fades.

byAmaltash Advisors LLC

Price

$150

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The idea

Buys real estate stocks when the market's been climbing, sells when momentum fades.

This strategy focuses exclusively on a hand-picked basket of real estate investment trusts (REITs) — properties like data centers, casinos, healthcare facilities, and storage buildings that pay steady dividends and trade on the stock market. It only enters positions when the market has been showing genuine upward strength over roughly the past six months, meaning it sits on the sidelines during prolonged downturns rather than fighting against the tide. The strategy is long-only, meaning it profits when prices rise and steps aside when they fall. Each holding carries its own exit rules: some positions lock in gains automatically once they've climbed enough, while others have a safety net that closes the trade if losses get too deep. A couple of the holdings are left to run freely as long as the broader momentum stays positive. Think of it like a patient landlord who only buys when the neighborhood is clearly trending up — and knows when to sell the property before a downturn wipes out the gains. It's not trying to trade every day; it's waiting for conditions to be right and then holding on for the ride. Best suited for investors who believe in real estate as a long-term theme but want a rules-based system to manage the timing and risk, rather than holding blindly through every market storm.

Design

How it works

Focuses on five real estate investment trusts that pay dividends
Only enters trades when prices have been rising for about six months
Automatically sells winners at profit targets or cuts losses at safety levels
Sits on the sidelines when the market isn't showing upward strength

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 real estate stocks are in a steady, multi-month uptrend
When the broader market is climbing and REITs are outperforming
When dividend-paying sectors are in favor with investors
When momentum stays positive without sudden reversals

Not built for

When the market crashes suddenly and momentum disappears overnight
When real estate stocks fall out of favor for months at a time
When interest rates spike and REIT valuations get crushed
When the bot exits early and then prices bounce back up sharply

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

26 Aug 2026when we last ran this strategy through them

When markets fall

The Christmas 2018 Scare

A sudden drop, then a full recovery within months.

our model of the S&P 500 around Sep 2018–Apr 2019falls about 20% at its worst, then ends about 6% above where it begana shape, not a scale · not this strategy

Index: S&P 500
The real dates: 20 Sep 2018 – 23 Apr 2019
What the index did: roughly flat
How we run it: Real trading days

A 20% fall into Christmas Eve 2018 on tightening fears, then a recovery to a new all-time high within four months. Anything that sold near the low and waited for confirmation missed it.

The rules this strategy follows here

1
What it holds
5 companies.
2
When it sells
One of them drops 5% below the price it was bought at.
3
What it does
It sells that one. The rest carry on.

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

An order set to sell at 5% 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

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
What it holds
5 companies.
2
When it sells
One of them drops 5% below the price it was bought at.
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 Nasdaq 100 vs energy around 2021–22rises about 28% at its turn, then ends about 12% below where it begana shape, not a scale · not this strategy

Index: Nasdaq 100 vs energy
The real dates: 4 Jan 2021 – 30 Dec 2022
What the index did: fell 15.3%

When markets rise

The Bull Run of 2016–17

Two calm years when the market just kept climbing.

our model of the S&P 500 around 2016–17ends about 42% above where it begana shape, not a scale · not this strategy

Index: S&P 500
The real dates: 4 Jan 2016 – 29 Dec 2017
What the index did: rose 30.8%

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-rotation?tab=stress

All ten markets

The Bull Run of 2016–17When markets rise · modelled · shown above Tested
The 2020 Tech BoomWhen markets rise Tested
The 2022 SlumpWhen markets fall Tested
The COVID CrashWhen markets fall Tested
The Christmas 2018 ScareWhen markets fall · shown above 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 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.

Holdings

What it holds

A few of the 5 positions this strategy trades. Sign in to see the full basket and the weights behind it.

VICI

IRM

WELL

+ 2 more assets in this strategy

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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