Nuclear & Clean Power Renaissance

VST
CEG
CCJ
+13
16 assetslow risk1d

Bets on nuclear and clean energy companies when momentum looks good, parks cash in bonds when things weaken.

byAmaltash Advisors LLC
Risk level
Low
Amaltash classification
Minimum
$1,000
to deploy
Licensing
None
no licensing fee
Advisory fee
up to 1.00%
a year

The idea

Bets on nuclear and clean energy companies when momentum looks good, parks cash in bonds when things weaken.

The world needs to double its electricity output by 2040 and there's no path to get there without nuclear. Microsoft signed a deal to restart Three Mile Island for AI data center power. Google contracted small modular reactors from Kairos. Amazon is buying nuclear-powered campuses. U.S. electricity demand is growing for the first time in two decades — driven by AI data centers, EV charging, and manufacturing reshoring — and renewables alone can't deliver the 24/7 baseload these loads require. Nuclear is the only carbon-free source that runs at 90%+ capacity factor around the clock. This strategy owns the full clean power stack: the nuclear utilities generating the electrons (Vistra, Constellation), the uranium miners and enrichment companies fueling the reactors (Cameco, LEU, Uranium Energy), the next-generation reactor builders designing the future of nuclear (Oklo, NuScale), and the solar, grid, and transmission companies filling the gaps. When clean energy policy, infrastructure spending, or rising electricity demand are driving the sector forward, this strategy rides the momentum. When conditions weaken, it rotates into gold and Treasuries rather than sitting through a drawdown. It's a bet that the energy transition isn't optional — it's a grid emergency — and nuclear is the baseload backbone the world is finally ready to build again.

Design

How it works

  1. Owns nuclear utilities, uranium miners, reactor builders, and solar companies

  2. Automatically switches to safer investments (gold, Treasury bonds) when momentum fades

  3. Checks signals once per day, lets winning positions grow

  4. Designed for the theory that AI and EVs will force massive electricity demand

Record

How long this strategy has existed

  1. May 20, 2026

    Strategy created

  2. May 20, 2026

    Version 2 created

This strategy has no live track record of its own yet. Results from accounts that deploy it are not combined into a single history.

Performance

Backtested results are for signed-in investors

We don’t publish hypothetical performance on public pages. Sign in to see this strategy’s backtest after the advisory fee and next to the S&P 500, with the assumptions and risks behind it. Backtested results are not returns any account earned.

Sign in to see the backtest

What it holds

16 assets

ELECTRIC SERVICES: 35%Unclassified: 14%COMMODITY CONTRACTS BROKERS & DEALERS: 10%MINING & QUARRYING OF NONMETALLIC MINERALS (NO FUELS): 9%Other: 32%16assets

Asset mix by sector

  • ELECTRIC SERVICES35%
  • Unclassified14%
  • COMMODITY CONTRACTS BROKERS & DEALERS10%
  • MINING & QUARRYING OF NONMETALLIC MINERALS (NO FUELS)9%
  • Other32%

Target weights for version 2. Actual positions vary as the strategy trades and are not shown here.

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 2022 Slump

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

our model of the S&P 500 around 2022ends about 20% below where it begana shape, not a scale · not this strategy

Index
S&P 500
The real dates
3 Jan – 30 Dec 2022
What the index did
fell 19.4%
How we run it
Real trading days

A full year of lower highs as the Federal Reserve raised rates from near zero to over 4%. The index was down 25% at its October low, having staged two rallies of more than 10% on the way down, and a third of 14% into the year end.

The rules this strategy follows here

  1. 1
    What it holds

    16 companies.

  2. 2
    When it sells

    One of them drops 6% to 25% 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.

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. 1
    What it holds

    16 companies.

  2. 2
    When it sells

    One of them drops 6% to 25% 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 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%

When markets rise

The 2020 Rebound

The market climbed about 76% in under a year off the COVID low.

our model of the S&P 500 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
S&P 500
The real dates
23 Mar 2020 – 12 Feb 2021
What the index did
rose 75.9%

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/nuclear-clean-power-renaissance?tab=stress

All ten markets

  • The Bull Run of 2016–17When markets rise · modelled Tested
  • The 2020 ReboundWhen markets rise · shown above Tested
  • The 2022 SlumpWhen markets fall · shown above Tested
  • The COVID CrashWhen markets fall · shown above Tested
  • The Christmas 2018 ScareWhen markets fall 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 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.

Fees & minimums

What it costs

Licensing fee, once
None
Advisory fee, yearly
up to 1.00%
Minimum to deploy
$1,000

What $10,000 costs, at a flat balance

1 year

$100

3 years

$300

5 years

$500

The maximum advisory fee. Your actual fee rises and falls with your balance. Other costs, such as spreads and regulatory fees, may apply.

Documents

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 brokerage account and turn on the strategy. We then place trades that follow its rules and your limits. No coding needed.

Start Trading Now →

No licensing fee

+ up to 1.00%/yr

Sign in to deploy