Ultra-Aggressive Stock Screening Report

Trading Period: December 8-19, 2025

Target: 3x SPY Performance | Max Loss: 10% | Budget: EUR 1,271.97

Screening Date: December 6, 2025 Risk Profile: ULTRA-AGGRESSIVE


Executive Summary

After comprehensive screening using multiple data sources (yfinance, Finnhub, web research) and quantitative factor modeling, I have identified 12 high-conviction candidates for the 2-week ultra-aggressive trading strategy. The final ranking combines fundamental screening scores with quantitative factor analysis (momentum, volatility, short squeeze potential, and sentiment).

Key Finding: FCEL (FuelCell Energy) was EXCLUDED due to earnings release on December 18, 2025 - which falls within our trading window.


Final Ranked Recommendations

Tier 1: STRONG BUY (Quant Score 4.0+)

Rank Ticker Company Price Beta RSI Short% Quant Score Strategy
1 ONDS Ondas Holdings $9.07 2.36 60.1 22.95% 4.20 Momentum/Squeeze
2 NVTS Navitas Semiconductor $9.48 3.13 67.2 33.42% 4.04 Momentum/Squeeze

Tier 2: BUY (Quant Score 3.5-4.0)

Rank Ticker Company Price Beta RSI Short% Quant Score Strategy
3 NTLA Intellia Therapeutics $9.61 2.13 60.5 38.97% 3.88 Short Squeeze
4 CLSK CleanSpark $13.72 3.80 62.5 29.97% 3.82 High Beta/Squeeze
5 UPST Upstart Holdings $46.75 2.28 67.2 29.53% 3.67 AI Fintech/Squeeze
6 WULF TeraWulf $14.50 4.31 69.1 30.87% 3.61 AI Pivot/Squeeze

Tier 3: SPECULATIVE BUY (Quant Score 3.0-3.5)

Rank Ticker Company Price Beta RSI Short% Quant Score Strategy
7 BEAM Beam Therapeutics $27.09 2.22 67.0 22.75% 3.48 Event Catalyst
8 SYM Symbotic $59.70 2.11 50.9 29.79% 3.41 High Volatility
9 MARA MARA Holdings $11.74 5.44 48.1 33.23% 3.29 High Beta/BTC
10 BE Bloom Energy $119.18 3.00 54.2 10.81% 3.22 AI Infrastructure
11 HUT Hut 8 Corp $42.43 6.21 58.9 14.66% 3.16 Extreme Beta
12 CRSP CRISPR Therapeutics $56.88 1.73 59.3 27.31% 2.98 Biotech/Squeeze

Detailed Candidate Profiles

1. ONDS - Ondas Holdings Inc. (STRONG BUY)

2. NVTS - Navitas Semiconductor (STRONG BUY)

3. NTLA - Intellia Therapeutics (BUY)

4. CLSK - CleanSpark Inc. (BUY)

5. UPST - Upstart Holdings (BUY)

6. WULF - TeraWulf Inc. (BUY)

7. BEAM - Beam Therapeutics (SPECULATIVE BUY)

8-12. Additional Candidates (SPECULATIVE)

Ticker Why Consider Key Risk
SYM $22.5B backlog; recent pullback creates entry Secondary offering dilution; -30% 1W momentum
MARA Highest beta (5.44); 2nd largest BTC holder Highly BTC-correlated; -26% 1M momentum
BE $5B Brookfield deal; 1000%+ 1Y return Extended valuation; profit-taking risk
HUT Extreme beta (6.21); BTC correlation play Lower short interest; recent weakness
CRSP Casgevy commercialization; CTX310 data Lower quant score; heavy short overhang

Correlation Analysis & Portfolio Construction

WARNING: Highly Correlated Groups

Bitcoin Mining Cluster (r = 0.85):

Biotech Cluster (r = 0.60):

Recommended 3-Position Portfolio (Budget: EUR 1,271.97)

For maximum diversification and risk-adjusted returns:

Position Ticker Allocation EUR Amount Rationale
1 ONDS 40% EUR 508.79 Highest quant score; unique defense/drone exposure
2 NVTS 35% EUR 445.19 High squeeze potential; AI/semiconductor theme
3 NTLA 25% EUR 317.99 Highest short interest; biotech diversification

Alternative Allocations:

Option B (More Aggressive):

Option C (Event-Driven):


Risk Management

Stop-Loss Recommendations

Position Sizing by Risk

Key Dates to Monitor


Data Sources


Files Generated

  1. /home/pengacau/pasar-malam/output/comprehensive_ultra_candidates.csv - Full screening results
  2. /home/pengacau/pasar-malam/output/ultra_aggressive_final_candidates.json - Final 12 candidates with detailed data
  3. /home/pengacau/pasar-malam/output/quant_factor_scores.json - Quantitative factor scoring results
  4. /home/pengacau/pasar-malam/output/ultra_aggressive_screening_report_2025-12-06.md - This report

Disclaimer: This is a screening analysis for educational purposes. Ultra-aggressive trading strategies carry substantial risk of loss. Past performance does not guarantee future results. Always conduct your own due diligence before making investment decisions.