VRT
MOD
CLS
+8

Data Center Cooling

SPOT · 11 assetslow risk1d

Holds: VRT, MOD, CLS + 8 more

This strategy invests in a hand-picked group of US companies that keep data centers running — think power management, liquid cooling systems, and the industrial infrastructure behind the AI boom. The most conviction sits in the top tier: companies with deep, multi-year contracts supplying cooling and power hardware directly to hyperscalers — the Amazons and Microsofts building out AI infrastructure. These positions are held with the widest safety net and are the last to be touched even when markets get choppy. The middle and lower tiers hold strong supporting players — electrical enclosures, HVAC specialists, and power distribution companies — that benefit from the same buildout but carry a bit more risk. What makes this strategy smart is how it reads the broader market mood. It watches the industrial sector as a whole and adjusts exposure automatically. If the market starts deteriorating, it trims the riskier positions first and holds its ground in the strongest names. When conditions improve, it gradually rebuilds. Think of it like a seasoned investor who gets cautious when storm clouds form, but never panics out of their best ideas. The strategy is selective about when to enter — it waits for a stock to show upward momentum before buying, and has a clear exit plan if a stock runs too hot or starts losing ground. It also rotates monthly, replacing the weakest performer in each group with a stronger candidate, keeping the portfolio fresh without constant tinkering. A real-world scenario: imagine AI infrastructure spending surges and cooling hardware demand spikes. This strategy would already be positioned in the key suppliers, riding that wave — while its built-in guardrails protect against a sudden industrial sector selloff dragging everything down.

byCharvi Agarwal
·
0.0 (0)
·1 subscribers

Price

Free

Subscribe for Free
Volume$0
Capital Deployed$5K
Total Trades0
PublishedMay 2026

Performance

Performance

1Y

+21.72%

Win Rate

0.0%

Drawdown

-5.7%

Strategy+21.7%
S&P 500+84.0%
$91K$100K$108K$117K$125KMar 26Mar 26Mar 26Mar 26Apr 26Apr 26Apr 26Apr 26Apr 26Apr 26

Returns

Returns

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

2022*+25.0%
2023+142.5%
2024+115.7%
2025+65.6%
2026*+69.1%

Calculator

Returns Calculator

$

This strategy

$183,069

+$173,069 (+1730.7%)

S&P 500

$18,396

+$8,396 (+84.0%)

Based on historical 5-year backtest returns. Past performance does not guarantee future results — this is an illustration, not a forecast.

Summary

Performance Metrics

Win Rate

52%

of 52 closed trades

Sharpe Ratio

2.18

vs 0.94 S&P 500

Max Drawdown

51%

backtest period

Profit Factor

2.20

$2.20 earned per $1 lost

Intelligence

AI Strategy Analysis

Configuration

Strategy Parameters

Timeframe

1d

1d candles

Position Size

100%

per trade

Take Profit

dynamic target

Stop Loss

per signal

Max Open

1 position

concurrent

Max Drawdown

50.9%

historical peak

Leverage

max leverage

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