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Sector Report β€” Open SIC 3728 Β· 6 tickers

Aircraft Parts & Auxiliary Equipment, Nec

SIC 3728 6 tickers analyzed 20 total alerts

Tickers
6
In this sector
Total alerts
20
Trade-Ideas signal history
Avg win rate
32.6%
Sector baseline
Avg gain
-0.49%
Per-alert expectancy

πŸ“ˆ Sector Performance by Timeframe

5-Minute

Avg Gain: -1.03%
Win Rate: 33.3%

15-Minute

Avg Gain: -1.22%
Win Rate: 37.5%

30-Minute

Avg Gain: -0.94%
Win Rate: 17.6%

60-Minute

Avg Gain: -0.29%
Win Rate: 14.3%

EOD

Avg Gain: +1.03%
Win Rate: 60.0%

MFE/MAE

Avg MFE: +6.84%
Avg MAE: -3.13%

πŸ“‹ Aircraft Parts & Auxiliary Equipment, Nec Stocks (5)

All tickers in SIC 3728 with Trade-Ideas alert data, sorted by alert count.

# Ticker Company Market Cap Alerts Avg Win Rate Avg 5min MFE Action
1 AIRI Air Industries Group $14.1M 10 25.2% -1.47% +7.06% View β†’
2 CVU CPI Aerostructures, Inc. $51.6M 2 40.0% -2.23% +14.48% View β†’
3 LOAR Loar Holdings Inc. $5.71B 2 50.0% +0.20% +2.58% View β†’
4 DCO Ducommun Incorporated $2.19B 1 0.0% -0.05% +0.48% View β†’
5 KRMN Karman Holdings Inc. $8.28B 1 20.0% -0.15% +5.95% View β†’

πŸš€ Scan for Alpha in Aircraft Parts & Auxiliary Equipment, Nec

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πŸ“Š Aircraft Parts & Auxiliary Equipment, Nec Sector Intelligence

⚑ High Volatility Sector

The Aircraft Parts & Auxiliary Equipment, Nec sector (SIC 3728) aggregates data from 6 stocks. With an average Maximum Favorable Excursion (MFE) of +6.84%, this sector is highly aggressive, suited for experienced volatility traders looking for explosive moves.

πŸ“ˆ Statistical Expectancy

Across 20 analyzed alerts, the sector shows a 32.6% Win Rate with an average gain of -0.49%.

⚠️ This suggests a difficult trading environment where strict stock selection is critical. Focus on the top performers within this sector.

πŸ“‰ Relative Performance

Trading this sector requires extreme caution. Even the top-ranked ticker, AIRI , only manages a 25.2% win rate across 10 alerts.

Since this barely matches the sector average (32.6%), traditional trend-following strategies may fail here. Consider counter-trend or mean-reversion approaches instead.