Photonic Backbone

Name: Photonic Backbone
Availability: InStock
Author: Amaltash Advisors LLC

11 assetslow risk1d

Bets on companies building the invisible plumbing that powers AI data centers.

byAmaltash Advisors LLC

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The idea

Bets on companies building the invisible plumbing that powers AI data centers.

Strategy built around the physical infrastructure powering the AI revolution — the fiber, lasers, and networking hardware that data centers can't function without. This portfolio focuses on companies that make the optical and networking gear responsible for moving massive amounts of data at the speed of light, from hyperscaler campuses to enterprise networks. Every AI query travels through light — photons moving through fiber optic cables connecting GPUs, data centers, and cloud regions. As AI workloads explode, the bottleneck is shifting from compute to connectivity. Hyperscalers are spending billions on optical interconnects to keep up, and the companies building this photonic infrastructure are seeing order books fill years out. Arista is locking in multi-year switching contracts with every major cloud provider, Ciena dominates the optical transport layer that AI data centers can't function without, and Credo is solving the high-speed signal integrity problem at the rack level. This strategy bets that the fiber and photonics layer becomes the defining infrastructure constraint of the AI era — the invisible backbone that every model, every inference, and every token depends on.

Design

How it works

Focuses on fiber optic and networking hardware companies
Holds 11 stocks in optical infrastructure and connectivity space
Checks for buying/selling signals once per day
Uses no borrowed money — only invests what you have

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 AI spending is accelerating and data center buildouts are happening
When tech stocks are climbing steadily over weeks or months
When there's steady demand for networking equipment from big cloud companies
When the market is confident about AI's future growth

Not built for

When the market suddenly crashes or investors panic about tech stocks
When AI hype cools down and companies delay data center spending
When interest rates spike and growth stocks fall out of favor
When supply chain problems make it hard to deliver equipment on 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 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
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 nine 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 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

When markets fall

The 2022 Slump

A full year of falling prices as interest rates shot up.

our model of the Nasdaq 100 around 2022ends about 33% below where it begana shape, not a scale · not this strategy

Index: Nasdaq 100
The real dates: 3 Jan – 30 Dec 2022
What the index did: fell 33%

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/photonic-backbone?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 · shown above Tested
The COVID CrashWhen markets fall · shown above 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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