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Sector Report β€” Open SIC 6153 Β· 5 tickers

Short-Term Business Credit Institutions

SIC 6153 5 tickers analyzed 166 total alerts

Tickers
5
In this sector
Total alerts
166
Trade-Ideas signal history
Avg win rate
37.9%
Sector baseline
Avg gain
-1.43%
Per-alert expectancy

πŸ“ˆ Sector Performance by Timeframe

5-Minute

Avg Gain: -0.79%
Win Rate: 34.9%

15-Minute

Avg Gain: -1.09%
Win Rate: 38.6%

30-Minute

Avg Gain: -1.46%
Win Rate: 38.0%

60-Minute

Avg Gain: -2.02%
Win Rate: 37.0%

EOD

Avg Gain: -1.78%
Win Rate: 41.0%

MFE/MAE

Avg MFE: +6.07%
Avg MAE: -2.77%

πŸ“‹ Short-Term Business Credit Institutions Stocks (5)

All tickers in SIC 6153 with Trade-Ideas alert data, sorted by alert count.

# Ticker Company Market Cap Alerts Avg Win Rate Avg 5min MFE Action
1 ORBS Eightco Holdings Inc. Common Stock $498.5M 137 36.9% -0.79% +5.42% View β†’
2 OCTO Eightco Holdings Inc. Common Stock $137.3M 22 30.9% -1.00% +10.26% View β†’
3 ECPG Encore Capital Group, Inc. $2.03B 3 100.0% +2.19% +3.84% View β†’
4 PRAA PRA Group, Inc. $710.4M 3 86.7% +0.23% +0.97% View β†’
5 SWRD Stewards, Inc. Common Stock $552.8M 1 0.0% -8.43% +0.29% View β†’

πŸš€ Scan for Alpha in Short-Term Business Credit Institutions

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πŸ“Š Short-Term Business Credit Institutions Sector Intelligence

⚑ High Volatility Sector

The Short-Term Business Credit Institutions sector (SIC 6153) aggregates data from 5 stocks. With an average Maximum Favorable Excursion (MFE) of +6.07%, this sector is highly aggressive, suited for experienced volatility traders looking for explosive moves.

πŸ“ˆ Statistical Expectancy

Across 166 analyzed alerts, the sector shows a 37.9% Win Rate with an average gain of -1.43%.

⚠️ 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, ORBS , only manages a 36.9% win rate across 137 alerts.

Since this barely matches the sector average (37.9%), traditional trend-following strategies may fail here. Consider counter-trend or mean-reversion approaches instead.