Quantum Hardware Race

Name: Quantum Hardware Race
Availability: InStock
Author: Amaltash Advisors LLC

11 assetsmoderate risk1d

Bets on companies building quantum computers, not just using them.

byAmaltash Advisors LLC

Price

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The idea

Bets on companies building quantum computers, not just using them.

The race to build a useful quantum computer is no longer theoretical — it's a funded arms race with three competing architectures fighting to win. Ion trap systems from IonQ are live on all three major clouds. Superconducting qubits from Rigetti are running DARPA contracts. Quantum annealing from D-Wave is already solving real optimization problems for Mastercard and Lockheed Martin. The U.S. government committed $2.7B through the National Quantum Initiative, Google achieved error correction a decade ahead of schedule, and Microsoft declared quantum-readiness a national security priority. This strategy bets directly on the hardware layer — the companies physically building quantum processors, not just benefiting from the hype. It's the highest-conviction quantum play: heavy on the pure-play builders racing for quantum advantage, supported by Alphabet, IBM, and Honeywell who are funding their own quantum divisions with hundreds of billions in existing cash flow. If one architecture wins the race, these are the stocks that 10x. If the whole sector lifts, you own all three approaches.

Design

How it works

Picks pure-play quantum hardware makers racing for breakthroughs
Adds established tech giants funding quantum divisions for stability
Buys more when market momentum looks healthy, sells when it doesn't
Tracks daily profits to manage risk automatically

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 quantum stocks trend upward steadily over weeks or months
When tech sector is performing well and investors trust growth stocks
When news about quantum breakthroughs creates sustained buying interest
When volatility is moderate — not too calm, not too chaotic

Not built for

When the entire tech sector sells off suddenly (market panic)
When quantum hype fades and investors lose interest in the sector
When individual quantum companies miss milestones or face setbacks
When the market crashes hard — this bot can't protect you fast enough

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
11 companies.
2
When it sells
One of them drops 15% to 18% 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 15% to 18% 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 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%
How we run it: Real trading days

Technology led 2021 and then fell by a third in 2022, while energy — the prior laggard — became the best-performing sector by a wide margin. The leadership inverted almost exactly.

The rules this strategy follows here

1
What it holds
11 companies.
2
When it sells
One of them drops 15% to 18% 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 rise

The 2020 Tech Boom

Tech nearly doubled in under a year after the COVID low.

our model of the Nasdaq 100 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: Nasdaq 100
The real dates: 23 Mar 2020 – 12 Feb 2021
What the index did: rose 97%

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/quantum-hardware-race?tab=stress

All ten markets

The Bull Run of 2016–17When markets rise · modelled · shown above Tested
The 2020 Tech BoomWhen markets rise · shown above 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 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 11 positions this strategy trades. Sign in to see the full basket and the weights behind it.

+ 7 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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