Ultra-Aggressive 2-Week Trading Strategy: Quantitative Analysis
Executive Summary
Recommended Allocation: 100% UPST (31 shares, $1,449.25)
Alternative: 90% UPST / 10% BYND if correlation < 0.5
Expected 2-Week Return: 1.77-1.79%
Probability of Achieving 5x SPY Target (3.75%): 44.5%
Probability of >15% Drawdown: 11.1-14.6%
Quantitative Framework
Based on "The Elements of Quantitative Investing" (Paleologo, 2025):
- Mean-Variance Optimization (Chapter 9): Maximize risk-adjusted returns
- Performance Metrics (Chapter 3): Sharpe ratio, probability analysis
- Risk Assessment (Chapter 5): VaR, drawdown probabilities
- Factor Models (Chapter 4): CAPM framework with short squeeze alpha
Stock Analysis
BYND (Beyond Meat)
- Price: $1.22
- Beta: 2.52 (extremely high market sensitivity)
- Short Interest: 20.72%
- RSI: 57.7 (moderately bullish)
- 2-Week Historical Range: 82.72% (extremely volatile)
- Expected 2-Week Return: 1.93-1.95%
- Expected 2-Week Volatility: 27.22%
UPST (Upstart Holdings)
- Price: $46.75
- Beta: 2.28 (high market sensitivity)
- Short Interest: 29.53% (higher squeeze potential)
- RSI: 67.2 (bullish momentum)
- 2-Week Historical Range: 39.50% (moderate volatility)
- Expected 2-Week Return: 1.75-1.77%
- Expected 2-Week Volatility: 14.23%
Optimization Results
Mean-Variance Optimization (Risk Aversion = 1.0)
- Optimal Weights: 0% BYND, 100% UPST
- Expected Return: 1.77%
- Volatility: 14.23%
- Sharpe Ratio: 0.124
Maximum Sharpe Ratio Optimization
- Optimal Weights: 0% BYND, 100% UPST
- Sharpe Ratio: 0.124
Sensitivity to Correlation
| Correlation |
BYND Weight |
UPST Weight |
Sharpe |
P(Target) |
P(Drawdown) |
| 0.40 |
10.6% |
89.4% |
0.127 |
44.5% |
14.4% |
| 0.65 |
0.0% |
100.0% |
0.124 |
44.5% |
14.6% |
| 0.80 |
0.0% |
100.0% |
0.124 |
44.5% |
14.6% |
Monte Carlo Simulation (10,000 runs)
Portfolio: 100% UPST
- Mean Return: 2.19%
- Standard Deviation: 14.14%
- Sharpe Ratio: 0.155
- Probability of Target (3.75%): 45.4%
- Probability of >15% Drawdown: 11.1%
Return Distribution Percentiles:
- 5th: -20.90% (95% VaR)
- 25th: -7.34%
- 50th (median): 2.17%
- 75th: 11.91%
- 95th: 25.49%
Implementation Details
Budget & Fees
- Total Budget: €1,271.97 EUR ($1,476.27 USD)
- Trade Fees: €2 per trade, €4 round-trip per position
- Total Fees: €8.00 (0.63% of portfolio)
Recommended Execution
- Buy 31 shares of UPST @ $46.75 = $1,449.25
- Cash Remaining: $27.02 USD (€23.28 EUR)
- Effective Allocation: 100% UPST, 0% BYND
Alternative Allocation (if correlation < 0.5)
- Buy 28 shares of UPST @ $46.75 = $1,309.00
- Buy 135 shares of BYND @ $1.22 = $164.70
- Total: $1,473.70
- Cash Remaining: $2.57 USD
Risk Metrics
Value at Risk (95%, 2-week)
- 100% UPST: -21.63%
- 50/50 Portfolio: -29.44%
- 100% BYND: -42.75% (estimated)
Drawdown Probabilities
- >15% Loss Probability: 14.6% (UPST) vs 21.5% (50/50)
- >20% Loss Probability: 8.2% (UPST) vs 14.3% (50/50)
Key Risk Factors
- Market Risk: Both stocks have beta > 2.0
- Correlation Risk: High correlation (0.65 assumed) reduces diversification
- Liquidity Risk: BYND at $1.22 may have wide spreads
- Horizon Risk: 2-week timeframe limits recovery potential
- Fee Impact: €8 fees = 0.63% hurdle
Probability Analysis
Target Achievement (5x SPY = 3.75%)
- 100% UPST: 44.5% probability
- 90/10 UPST/BYND: 44.5% probability
- 50/50 Portfolio: 46.0% probability (slightly higher but much riskier)
Risk-Return Trade-off
| Metric |
100% UPST |
50/50 |
100% BYND |
| Expected Return |
1.77% |
1.84% |
1.93% |
| Volatility |
14.23% |
19.02% |
27.22% |
| Sharpe Ratio |
0.124 |
0.097 |
0.071 |
| P(Target) |
44.5% |
46.0% |
47.5% |
| P(Drawdown>15%) |
14.6% |
21.5% |
29.2% |
Strategic Rationale
Why 100% UPST is Recommended
- Superior Risk-Adjusted Returns: Higher Sharpe ratio (0.124 vs 0.097 for 50/50)
- Lower Volatility: 14.23% vs 19.02% for 50/50 portfolio
- Better Short Squeeze Setup: 29.53% SI vs 20.72% for BYND
- Stronger Momentum: RSI 67.2 vs 57.7
- Implementation Efficiency: Whole shares work better at $46.75 vs $1.22
Why BYND is Suboptimal
- Extreme Volatility: 82.72% historical range indicates unstable price action
- Poor Risk-Adjustment: Lower Sharpe despite higher expected return
- Liquidity Concerns: $1.22 price suggests potential spread issues
- Correlation Drag: High correlation with UPST reduces diversification benefit
Risk Management Protocol
Entry Criteria
- Market Condition: SPY above 200-day MA, VIX < 20
- Stock-Specific: UPST above $45 support, RSI > 60
- Timing: Enter on Monday Dec 9, 2025
Exit Criteria
- Stop-Loss: 15% of portfolio value ($1,231.83 USD)
- Profit Target: 5% return ($1,550.08 USD)
- Time Stop: Exit by Dec 20 regardless of P&L
- Thesis Break: Exit if short interest drops below 25%
Position Monitoring
- Daily: Check price, volume, RSI
- Weekly: Review short interest data
- Continuous: Monitor market sentiment, news flow
Limitations & Assumptions
Model Limitations
- Normal Distribution Assumption: Returns may have fat tails
- Stationarity: Historical parameters may not persist
- Correlation Stability: 0.65 correlation is an estimate
- Short Squeeze Timing: Difficult to predict catalyst timing
Data Limitations
- 2-Week Horizon: Limited historical data for precise estimation
- Fee Impact: Assumes €4 round-trip, actual may vary
- Slippage: Not modeled for BYND's potential wide spreads
- Market Impact: Small position size minimizes but not zero
Conclusion
For an ULTRA-AGGRESSIVE 2-week trading strategy targeting 5x SPY returns:
RECOMMENDATION: Allocate 100% to UPST (31 shares, $1,449.25)
Expected Outcome:
- 44.5% probability of achieving 3.75% target return
- 14.6% probability of >15% drawdown
- Expected Sharpe ratio: 0.124
Key Risk: This remains a high-risk strategy with substantial probability of loss. The 2-week horizon amplifies timing risk, and fees represent a significant hurdle.
Alternative: If correlation between BYND and UPST is below 0.5, consider 90% UPST / 10% BYND allocation for slight diversification benefit.
Analysis based on "The Elements of Quantitative Investing" framework. Past performance is not indicative of future results. Ultra-aggressive strategies carry high risk of substantial losses.