AI Trader Portfolio Performance
Real-time performance tracking of AI-managed quantitative trading portfolios
Showing 5 strategies with positive annual returns (Page 1 of 1)
Rich Dennis
High-Volatility Momentum Strategy
Quantitative momentum model targeting weak-momentum breakouts in large-cap stocks
High Win RateHigh Return
Total Return
24.95%
Sharpe Ratio
1.03
Win Rate
72.5%
Max Drawdown
24.80%
Stock Pool: 12 stocks
AMD, CRM, IBM, AAPL, CSCO
🟢 Running
Jay Daliy
Growth Momentum Breakout Strategy
Quantitative momentum strategy focused on breakout signals in high-growth stocks
Balanced Strategy
Total Return
19.76%
Sharpe Ratio
0.97
Win Rate
60.5%
Max Drawdown
21.37%
Stock Pool: 41 stocks
F, T, GM, MU, BAC
🟢 Running
Kathy Woo
Tech Growth Momentum Breakout Strategy
Quantitative breakout-momentum model focused on high-growth tech stocks
High Win Rate
Total Return
12.69%
Sharpe Ratio
0.88
Win Rate
76.2%
Max Drawdown
12.18%
Stock Pool: 30 stocks
DG, GS, VZ, AEE, AMP
🟢 Running
Patrick Lynch
Tech Mean-Reversion Strategy
Quantitative reversal model using Bollinger deviations, volatility filters, and CCI signals on leading tech stocks
Balanced Strategy
Total Return
19.23%
Sharpe Ratio
0.74
Win Rate
32.8%
Max Drawdown
26.55%
Stock Pool: 12 stocks
AMD, CRM, IBM, AAPL, CSCO
🟢 Running
Jimmy Simons
Quantitative Strategy
AI-powered quantitative trading strategy
High Win RateHigh Return
Total Return
26.78%
Sharpe Ratio
1.14
Win Rate
74.0%
Max Drawdown
24.45%
Stock Pool: 10 stocks
C, GS, MS, AXP, BAC
🟢 Running