Quantum Computing

GOOG
IBM
HON
+1
11 assetsmoderate risk1d

Bet on quantum computing's future by owning the whole supply chain, not just the hype stocks.

byAmaltash Advisors LLC

Price

Free

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The idea

Bet on quantum computing's future by owning the whole supply chain, not just the hype stocks.

Quantum computing crossed from theory to commerce — IonQ is live on AWS, Azure, and Google Cloud, IBM has 100+ enterprise clients running quantum workloads, and Google's Willow processor achieved error correction that scientists said was decades away. But the pure-play hardware stocks can double or halve in a week on a single headline. This strategy structures around that reality: the core holds are Alphabet, IBM, and Honeywell — mega-caps generating hundreds of billions in revenue while funding quantum R&D from cash flow, not dilution. The middle tier owns the picks-and-shovels suppliers every quantum lab needs — FormFactor's cryogenic probe stations, Coherent's precision lasers, Keysight's qubit validation instruments. Only the speculative tail (20%) rides IonQ, Rigetti, and D-Wave where the 10x upside lives. If quantum goes mainstream, Tier 3 explodes. If it stalls, Tier 1 still prints earnings from cloud, defense, and industrial automation. You're not betting on which quantum architecture wins — you're owning every layer of the stack.

Design

How it works

  1. Owns big tech companies funding quantum research plus the equipment suppliers they need

  2. Keeps most money in stable mega-cap stocks, only 20% in risky pure-play quantum companies

  3. Checks prices once per day and adjusts based on market momentum

  4. Protects against picking the wrong quantum winner by owning the entire ecosystem

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 news is positive and the whole tech sector is climbing steadily
  • When investors are excited about quantum but haven't crashed the speculative stocks yet
  • When big tech companies like Google and IBM are performing well on earnings
  • When equipment suppliers see steady demand from quantum labs and research centers

Not built for

  • When the entire tech sector sells off suddenly on recession fears or rate hikes
  • When quantum hype cools and investors flee speculative stocks for months
  • When a major quantum company misses expectations and drags the whole sector down
  • When the market crashes so fast the bot can't adjust positions in time

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. 1
    What it holds

    11 companies.

  2. 2
    When it sells

    One of them drops 15% to 18% below the price it was bought at.

  3. 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

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

    11 companies.

  2. 2
    When it sells

    One of them drops 15% to 18% 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 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%

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%

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/quantum-computing?tab=stress

All ten markets

  • The Bull Run of 2016–17When markets rise · modelled 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 · shown above 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 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.

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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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