Precision Instruments for AI & Quantum

KEYS
COHR
IPGP
+1
11 assetsmoderate risk1d

Bets on companies that test and measure AI chips, quantum computers, and advanced tech before they ship.

byAmaltash Advisors LLC

Price

Free

Subscribe for Free

Paper-trade it first. Connect an exchange when you're ready.

The idea

Bets on companies that test and measure AI chips, quantum computers, and advanced tech before they ship.

Every AI chip, quantum processor, and photonic circuit must pass through precision instruments before it ships. Keysight's test platforms validate qubits in Google and IonQ's quantum labs and certify every 5G base station going live. Teradyne's systems test high-bandwidth memory modules that NVIDIA needs for its next-gen GPUs. IPG Photonics' industrial lasers weld EV battery packs for Tesla and cut aircraft turbine blades for GE Aerospace. Cognex machine vision inspects 2 billion items per day across factory floors worldwide. These companies don't bet on which chip or which robot wins — they sell the measurement and testing layer that every deep tech company must buy. Semiconductor test equipment spending is projected to hit $8B by 2027, quantum computing hardware capex is growing at 30% CAGR, and AI datacom infrastructure is expected to exceed $150B. This strategy owns the tollbooth: if it gets built, it gets tested first.

Design

How it works

  1. Owns companies selling testing equipment to big tech firms

  2. Buys when momentum looks good, sells when it weakens

  3. Tracks 10 specialized equipment makers plus the broader tech sector

  4. Rebalances daily based on price trends and market 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 big tech companies are spending heavily on new equipment
  • When the semiconductor and AI industries are growing steadily
  • When prices are climbing gradually with consistent buying pressure
  • When the overall tech sector is performing well

Not built for

  • When tech spending freezes due to recession or budget cuts
  • When the market crashes suddenly and investors panic-sell
  • When individual equipment makers miss earnings or lose major customers
  • When interest rates spike and investors flee growth stocks

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 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. 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 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

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%

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/precision-instruments-ai-quantum?tab=stress

All ten markets

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

KEYSCOHRIPGPMKSI

+ 7 more assets in this strategy

Sign in to see them →

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.

Get Started

Ready to Deploy This Strategy?

Connect your exchange, subscribe, and let the algorithm trade for you. No coding required.

Start Trading Now →