US Primary Infrastructure
Holds: PWR, VMC, EME + 8 more
This long-only strategy is built around a simple idea: when the US government spends big on infrastructure, certain American companies win — and this algorithm tries to own them before the market fully prices it in. The portfolio is organized into three layers, each with a different job. The core layer holds the companies most directly tied to federally mandated construction and grid modernization — businesses with multi-year contract backlogs that don't disappear overnight. A middle layer adds domestic steel, energy refining, and materials companies that benefit when American manufacturing is running hot. The outer layer captures shipping and heavy equipment names that tend to surge when fiscal spending flows through the broader economy. What makes this strategy different from a simple buy-and-hold is how it reacts to trouble. It watches the broader industrial sector as a market 'mood ring.' If industrials start weakening, the strategy doesn't panic all at once — it peels back the most speculative positions first, then the middle layer, while keeping the core holdings intact as long as the underlying business case holds. When conditions recover, it re-enters those outer positions carefully and only when price momentum supports it. The strategy is patient and selective about entries — it waits for a stock to show upward momentum before buying, and it rotates out of laggards monthly in favor of stronger names. It's not a fast trader. Think of it as a deliberate, conviction-driven portfolio that stays invested in America's infrastructure buildout while actively managing how much risk it carries depending on what the market is doing. A simple scenario: imagine industrial stocks start quietly sliding for two weeks. Rather than holding everything and hoping, this strategy would have already trimmed the tanker and shipping names after five days of weakness, then reduced the steel and materials exposure after ten — leaving only the core infrastructure contractors standing. When the market stabilizes and recovers, it methodically rebuilds those positions, but only in names showing real price strength.
Performance
Performance
1Y
+34.97%
Win Rate
100.0%
Drawdown
-4.6%
Overall (5Y)
Returns
Returns
Historical backtest returns by calendar year. Positive bars grow up, negative bars grow down from the zero line.
Summary
Performance Metrics
Win Rate
0%
of 0 closed trades
Sharpe Ratio
0.00
vs 0.94 S&P 500
Max Drawdown
0%
backtest period
Profit Factor
0.00
$0.00 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
no pyramiding
Max Drawdown
0%
historical peak
Leverage
1×
max leverage
Creator
About the Creator
Member since May 2026
Strategy creator on Amaltash.
Strategies
1
Subscribers
0
Total Volume
$0
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