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Truck & Bus Bodies Stocks

SIC 3713 | 2 tickers analyzed | 21 total alerts

📊
2
Tickers
🔔
21
Total Alerts
🎯
45.1%
Avg Win Rate
💰
-0.52%
Avg Gain

📈 Sector Performance by Timeframe

5-Minute

Avg Gain: -0.67%
Win Rate: 33.3%

15-Minute

Avg Gain: -0.66%
Win Rate: 42.9%

30-Minute

Avg Gain: -1.81%
Win Rate: 40.0%

60-Minute

Avg Gain: -1.40%
Win Rate: 38.1%

EOD

Avg Gain: +1.95%
Win Rate: 71.4%

MFE/MAE

Avg MFE: +6.26%
Avg MAE: -3.76%

📋 Truck & Bus Bodies Stocks (2)

All tickers in SIC 3713 with Trade-Ideas alert data, sorted by alert count.

# Ticker Company Market Cap Alerts Avg Win Rate Avg 5min MFE Action
1 HYLN Hyliion Holdings Corp. $385.4M 12 31.7% -2.17% +7.61% View →
2 BLBD Blue Bird Corporation Common Stock $1.57B 9 63.6% +1.32% +4.45% View →

🔗 Better Performing Sectors

Sectors with higher win rates than Truck & Bus Bodies (45.1%). Larger tags = better performance.

Newspapers: Publishing Or Publishing & Printing 68.2% Retail-Miscellaneous Shopping Goods Stores 63.3% Games, Toys & Children's Vehicles (No Dolls & Bicycles) 59.2% Services-To Dwellings & Other Buildings 58.7% Miscellaneous Food Preparations & Kindred Products 58.2% Wholesale-Groceries & Related Products 56.7%
← All Sectors All Stocks →

🚀 Scan for Alpha in Truck & Bus Bodies

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Use FILTRIX to isolate the top performing stocks among the 2 companies in this sector. Filter by MFE, Volume, and Win Rate instantly.

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📊 Truck & Bus Bodies Sector Intelligence

⚡ High Volatility Sector

The Truck & Bus Bodies sector (SIC 3713) aggregates data from 2 stocks. With an average Maximum Favorable Excursion (MFE) of +6.26%, this sector is highly aggressive, suited for experienced volatility traders looking for explosive moves.

📈 Statistical Expectancy

Across 21 analyzed alerts, the sector shows a 45.1% Win Rate with an average gain of -0.52%.

This represents a balanced risk/reward profile typical of most market sectors.

📉 Relative Performance

Trading this sector requires extreme caution. Even the top-ranked ticker, HYLN , only manages a 31.7% win rate across 12 alerts.

Since this barely matches the sector average (45.1%), traditional trend-following strategies may fail here. Consider counter-trend or mean-reversion approaches instead.