11 assets1d

AI Power Grid & Infrastructure

Bets on companies powering AI's explosive growth by supplying electricity and grid equipment.

By Amaltash Advisors LLC

Investment thesis

Targets the critical bottleneck in the AI revolution — power. Every data center, every GPU cluster, every reshored factory needs massive electricity, and the US grid can't keep up. More than half of planned data centers face delays because transformers and switchgear are in critical shortage. This strategy holds 11 stocks across the power supply chain: independent power producers with 10-20 year contracted revenue from hyperscalers like Microsoft, Amazon, and Meta (Vistra, Constellation Energy, Talen Energy), grid equipment makers building the transmission and distribution infrastructure to deliver that power (Eaton, GE Vernova, Quanta Services, Hubbell), and specialist suppliers of data center switchgear, cooling, and connectivity (Powell Industries, Vertiv, Amphenol). XLU regime filter de-risks the speculative tiers when utility sentiment weakens, while Tier 1 power producers stay invested through downturns backed by locked-in purchase agreements. $1.4 trillion in committed utility capex through 2030 and $650B+ in hyperscaler AI spending in 2026 alone ensure the demand pipeline extends for years.

How it works

  1. Invests in power plants contracted to major tech companies like Microsoft and Amazon

  2. Holds equipment makers building electrical infrastructure for data centers

  3. Uses market sentiment as a safety valve to reduce risk when conditions weaken

  4. Checks positions once per day, not constantly trading

Works best when

  • When tech companies keep building data centers and signing long-term power deals
  • When electricity demand from AI keeps growing faster than supply
  • When the overall market trends upward and investor confidence is steady
  • When utility stocks and infrastructure investments are in favor with investors

Watch out for

  • When the market crashes suddenly and investors panic-sell everything
  • When tech companies slow down data center expansion or delay projects
  • When interest rates spike sharply, making long-term contracts less attractive
  • When overall market sentiment turns negative toward infrastructure and utilities

Performance

Backtested

Sign in to see performance

Hypothetical backtest results, risk numbers and stress-test outcomes are shown only to signed-in investors, after the advisory fee and alongside the S&P 500. Backtested results are not returns any account earned.

Track record

Strategy created
May 16, 2026
Current version
Version 3
since Jun 29, 2026
Live track record
Not yet
no combined account history

Portfolio

11 holdings · target weights for version 3, as of Jun 29, 2026. Actual positions vary with signals.

Electric services50%Misc industrial & commercial machinery & equipment8%Electronic & other electrical equipment (no computer equip)8%Electrical work7%Electronic components & accessories7%Switchgear & switchboard apparatus7%Other13%
HoldingTarget weightMarket cap
VST
Vistra Corp.
Electric services
18%
$45.29B
CEG
Constellation Energy Corporation
Electric services
18%
$96.60B
TLN
Talen Energy Corporation
Electric services
14%
$16.48B
ETN
Eaton Corporation, plc
Misc industrial & commercial machinery & equipment
8%
$140.10B
GEV
GE Vernova Inc.
Electronic & other electrical equipment (no computer equip)
8%
$213.92B
PWR
Quanta Services, Inc.
Electrical work
7%
$91.60B
HUBB
Hubbell Incorporated
Electronic components & accessories
7%
$23.43B
POWL
Powell Industries, Inc.
Switchgear & switchboard apparatus
7%
$5.32B
VRT
Vertiv Holdings Co Class A
Electronic components, nec
7%
$79.52B
APH
Amphenol Corporation
Electronic connectors
6%
$195.84B
XLU
State Street Utilities Select Sector SPDR ETF
—
0%
—

Risk & rules

The automated rules that limit losses.

Per-position rules
Varies by holding · closes one position
Stop loss 12% to 18%Take profit 50%Leverage None

Stops trigger on the next available price. A price gap, overnight or in a fast market, can fill well below the 12% level.

Stress tests

Ten difficult markets, chosen in advance. Eight replay real trading days; two are modelled stand-ins.

MarketMethodResult
The Bull Run of 2016–17ModelledSign in to view
The 2020 ReboundReplaySign in to view
The 2022 SlumpReplaySign in to view
The COVID CrashReplaySign in to view
The Christmas 2018 ScareReplaySign in to view
The Year That Went NowhereModelledSign in to view
The Wild Swings of Late 2022ReplaySign in to view
The Quiet YearReplaySign in to view
The Magnificent Seven YearReplaySign in to view
When Tech Handed Over to OilReplaySign in to view

Fees

Licensing fee
None
Advisory fee
Up to 1.00% a year
On deployed capital, billed on your balance
Advisory fee on $10,000 at the maximum rate
1 year
$100
3 years
$300
5 years
$500

Assumes the balance stays at $10,000. Spreads and regulatory fees may also apply.

What does AI Power Grid & Infrastructure hold?
Holdings (11): VST, CEG, TLN, ETN, GEV, PWR, HUBB, POWL, VRT, APH, XLU.
How often does it check its rules?
Once a day, on daily prices.
When does this kind of strategy tend to struggle?
When the market crashes suddenly and investors panic-sell everything; When tech companies slow down data center expansion or delay projects; When interest rates spike sharply, making long-term contracts less attractive; When overall market sentiment turns negative toward infrastructure and utilities.

Important information

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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