VST
CEG
TLN
+8

AI Power Grid & Infrastructure

SPOT · 11 assetslow risk1d

Holds: VST, CEG, TLN + 8 more

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.

byCharvi Agarwal
·
0.0 (0)
·1 subscribers

Price

Free

Subscribe for Free
Volume$27K
Capital Deployed$6K
Total Trades11
PublishedMay 2026

Performance

Performance

1Y

+22.56%

Win Rate

46.2%

Drawdown

-15.1%

Strategy+22.6%
S&P 500+85.6%
$97K$107K$116K$126K$136KJul 25Aug 25Sep 25Nov 25Dec 25Feb 26Mar 26May 26Jun 26Jun 26

Returns

Returns

Historical backtest returns by calendar year. Positive bars grow up, negative bars grow down from the zero line.

2022*+5.4%
2023+14.1%
2024+49.0%
2025+21.6%
2026*+3.5%

Calculator

Returns Calculator

$

This strategy

$22,580

+$12,580 (+125.8%)

S&P 500

$18,559

+$8,559 (+85.6%)

For illustration only. This applies the strategy's backtested (simulated) return over the stated 5-year backtest period to your amount — it is not a forecast or a projection of future results. Backtested results have inherent limitations, do not reflect actual trading or the deduction of subscription and trading costs, and no representation is made that any account will achieve similar results. Investing involves risk, including possible loss of your entire investment.

Summary

Performance Metrics

Win Rate

53%

of 377 closed trades

Sharpe Ratio

1.45

vs 0.94 S&P 500

Max Drawdown

20%

backtest period

Profit Factor

2.49

$2.49 earned per $1 lost

Intelligence

AI Strategy Analysis

Configuration

Strategy Parameters

Timeframe

1d

1d candles

Position Size

3%

per trade

Take Profit

dynamic target

Stop Loss

per signal

Max Open

1 position

concurrent

Max Drawdown

19.8%

historical peak

Risk Disclosure: Trading in financial instruments and cryptocurrencies involves substantial risk, including the possible loss of your entire investment, and may not be suitable for all investors. Cryptocurrency prices are highly volatile and 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.

Hypothetical Results: Backtest and simulated performance results have inherent limitations. Unlike actual trading, simulated results do not represent real executions and may not account for factors such as market liquidity, slippage, or execution timing. Simulated strategies are often designed with the benefit of hindsight. No representation is made that any account will achieve results similar to those shown.

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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