Safe Tech Sector Exposure

Name: Safe Tech Sector Exposure
Availability: InStock
Author: Amaltash Advisors LLC

6 assetslow risk1d

Picks the best big tech stocks when conditions are right, switches to broad market when tech weakens.

byAmaltash Advisors LLC

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The idea

Picks the best big tech stocks when conditions are right, switches to broad market when tech weakens.

This strategy focuses on five of the most well-known names in technology — Microsoft, Apple, Nvidia, Google, and Meta — and only steps in when their long-term trends are clearly healthy and gaining strength. It won't chase a stock that's already running hot or catch a falling knife during a sharp selloff. Instead, it waits patiently for conditions where the big picture and short-term momentum are both pointing in the same direction. When individual tech stocks aren't looking their best, the strategy doesn't just sit in cash — it rotates into SPY, the broad S&P 500 ETF, which still provides market exposure but with less concentration in tech. This matters most during tech-specific downturns, where owning the whole market tends to hold up far better than doubling down on the sector. Exits are just as disciplined as entries. The strategy will hold through normal day-to-day noise, but if a stock spends a full trading week below its short-term trend line, breaks its long-term trend entirely, or shows signs that the move is running out of steam, it steps out cleanly. There's no hoping for a bounce — it moves on. This is a long-only strategy built for patient, steady investors who want exposure to big tech during strong markets, a sensible fallback when tech cools off, and clear rules for when to exit rather than ride losses down.

Design

How it works

Buys Microsoft, Apple, Nvidia, Google, Meta only during healthy uptrends
Moves to S&P 500 ETF when tech sector cools off
Exits positions cleanly when trends break or momentum fades
Checks daily and uses no borrowed money

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 tech stocks are climbing steadily and the overall market is healthy
During periods where big tech outperforms the rest of the market
When you want exposure to tech but with a safety net in place
Markets rising gradually with low panic and steady investor confidence

Not built for

When the entire market crashes suddenly — no strategy escapes that
During tech-specific panics where even the safest names get hammered
When markets move sideways for months with no clear direction
When a major tech company faces unexpected bad news or scandal

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
What it holds
6 companies.
2
When it sells
One of them drops 7% to 8% below the price it was bought at.
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 7% to 8% 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 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
What it holds
6 companies.
2
When it sells
One of them drops 7% to 8% 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

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 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

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/safe-tech-sector-exposure?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 · shown above 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 6 positions this strategy trades. Sign in to see the full basket and the weights behind it.

MSFT

AAPL

NVDA

+ 3 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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