Nuclear AI Power

Name: Nuclear AI Power
Availability: InStock
Author: Amaltash Advisors LLC

12 assetslow risk1d

A bot that bets on nuclear energy stocks, buying dips and selling peaks strategically.

byAmaltash Advisors LLC

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The idea

A bot that bets on nuclear energy stocks, buying dips and selling peaks strategically.

Every dollar spent on AI eventually becomes a dollar spent on electricity, and nothing delivers 24/7 carbon-free baseload power at the scale hyperscalers need except nuclear. Microsoft, Meta, and Amazon are signing 20-year power purchase agreements worth billions directly with nuclear operators — not because they're green, but because the grid can't keep up. Nuclear ETFs like URA and NUKZ give you broad exposure, but they also give you problems. URA is 60%+ uranium miners with almost no reactor operators — you miss the companies actually signing billion-dollar contracts with Big Tech. NUKZ spreads across 40+ names including utilities like Duke Energy and AEP that have minimal nuclear exposure, diluting your returns with generic power companies. Neither ETF adjusts when the sector turns — they hold pre-revenue SMR developers at the same weight during a bear market as they do during a rally, dragging down performance when you need protection most. This strategy is different. It spans the entire nuclear value chain — operators, fuel, and next-gen — but with only 13 high-conviction names where every holding earns its place.

Design

How it works

Focuses on nuclear power companies and uranium suppliers
Waits for sector strength before investing capital
Buys beaten-down stocks showing recovery signs
Sells when prices surge or drop after big gains

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 nuclear energy sector is rallying steadily over weeks
When uranium prices are rising and policy supports nuclear
When individual stocks bounce back from sharp selloffs
When the overall energy sector momentum is positive

Not built for

When entire nuclear sector crashes suddenly across the board
When uranium prices collapse due to supply glut
When political sentiment turns against nuclear energy
When broader market crashes drag all energy stocks down

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

5 Sep 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
12 companies.
2
When it sells
One of them drops 25% 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 25% 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 Year That Went Nowhere

2015 swung up and down all year and finished where it started.

our model of the S&P 500 around 2015swings about 9% either way, and ends about 1% above where it begana shape, not a scale · not this strategy

Index: S&P 500
The real dates: 2 Jan – 31 Dec 2015
What the index did: roughly flat
How we run it: Our model of it

A year that ended where it began, after swinging repeatedly in between — including a 12% drop in August when China devalued its currency, fully recovered by November.

The rules this strategy follows here

1
What it holds
12 companies.
2
When it sells
One of them drops 25% 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 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/nuclear-ai-power?tab=stress

All ten markets

The Bull Run of 2016–17When markets rise · modelled · shown above Tested
The 2020 ReboundWhen 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 · shown above Tested
The Wild Swings of Late 2022When markets go nowhere 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 12 positions this strategy trades. Sign in to see the full basket and the weights behind it.

CEG

VST

GEV

CCJ

+ 8 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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