S&P Momentum Model
UPRO: 1.98%, Vol: 92%, Momentum: 183 Nd, Force: 14034 N, Slope: 1713 Nd, Phase: 90°
Decision-Tree: BUY (5% stop-loss), APR: 48.17%, 20 transactions at 2.41% per, B&H APR: 0.19%
Ensemble: (BUY-BUY-BUY-BUY-SELL-SELL-NO-NO)
LLM: 60% confidence, -58.94% trading profit
SPXU: -2.02%, Vol: 100%, Momentum: -203 Nd, Force: -6714 N, Slope: -1519 Nd, Phase: 270°
Decision-Tree: NO , APR: 51.8%, 7 transactions at 7.4% per, B&H APR: -29.14%
Ensemble: (BUY-BUY-NO-BUY-NO-BUY)
LLM: 40% confidence, -58.94% trading profit
S&P Market Analytics
by Generative AI
**Market Sentiment Rating: 4/10** **Number of Headlines Analyzed: 85** **Date Range: April 7, 2025 - April 16, 2025** Summary: Market sentiment remains highly unpredictable due to ongoing trade war tensions and emerging AI developers' competitive pressures. Recent headlines indicate a volatile market with tariff-related news affecting investor sentiment. Key Events/Trends/Patterns: * Trade war tensions continue to create uncertainty in the markets. * Emerging AI developers are creating competitive pressures on tech stocks. * Nvidia revealed costly new curbs on chip exports to China, and investors grappled with uncertainty over President Trump's trade policy. Relationships: UPRO (long S&P 500) and SPXU (short S&P 500) have inverse correlation Market Sentiment: Market sentiment remains highly unpredictable due to ongoing trade war tensions and emerging AI developers' competitive pressures. Trade Results Summary: Our last simulated trade on 2025-04-16 for UPRO at 70.0% confidence-level resulted in a -3.44% market loss with a total market loss of -11.49% over 8 trading sessions since 2025-04-01. We maintain a 5% trailing stop-loss for safety. Momentum Model Outputs: * UPRO Price: down -6.7%, Volatility: 149% of average, Momentum: negative -1000 Nd * SPXU Price: up 6.8%, Volatility: 157% of average, Momentum: positive 1069 Nd Decision-Tree Summary: No position recommended in UPRO. BUY or HOLD a position in SPXU. **Recommendation:** 🚫 I recommend **redSPXU at 40% confidence**, as our momentum model outputs and trade results suggest that it is the better option for this trading session. New Self-Learning-Feedback (SLF): * Market sentiment remains highly unpredictable due to ongoing trade war tensions and emerging AI developers' competitive pressures. * Stay vigilant: Tariff-related news can affect investor sentiment rapidly. * Timing is everything when it comes to momentum. Don't get caught off guard! * Be prepared for volatility, as market fluctuations can be intense due to trade war tensions and emerging AI developers' competitive pressures. Stay calm, stay vigilant, and adapt quickly! 🙏 (2025-04-16 22:28:16:773). 3xSP.com
Llama 3.1: UPRO 30 (75.0%), SPXU 10 (25.0%).
Updated 2025-04-17 13:34:04 ET
Agent Results
Date/Time | Symbol | Confidence | Result |
---|---|---|---|
2025-04-01 16:05:13:255 | UPRO | 55.0% | 5.25% |
2025-04-02 15:56:04:326 | UPRO | 65.0% | -4.4% |
2025-04-03 16:00:43:204 | SPXU | 65.0% | 9.37% |
2025-04-05 03:35:01:796 | SPXU | 70.0% | -8.27% |
2025-04-08 01:13:32:919 | UPRO | 55.0% | -13.46% |
2025-04-09 03:16:44:190 | SPXU | 62.0% | -29.53% |
2025-04-10 01:35:14:201 | UPRO | 63.0% | -4.43% |
2025-04-11 00:16:50:459 | SPXU | 68.0% | -6.19% |
2025-04-14 02:40:59:909 | UPRO | 60.0% | -2.71% |
2025-04-14 23:43:54:441 | UPRO | 85.0% | -1.13% |
2025-04-16 03:58:41:785 | UPRO | 70.0% | -3.44% |
2025-04-16 22:28:16:773 | SPXU | 40.0% | NA |
Intra-day, 5% Stop-loss | TOTAL | -11.49% |
Leveraged Pair Trade

The Pair Trade investment trading strategy is used in this Machine Learning use case. Also known as Pairs Trade, two highly correlated securities are selected, matching a long position with a short position. It is a market neutral strategy, enabling traders to profit in all market conditions.
Two highly correlated ETFs are used:
- UPRO: ProShares UltraPro® S&P500 (the long position) seeks daily investment results that correspond to three times (3x) the daily performance of the S&P 500®.
- SPXU: ProShares UltraPro® Short S&P500 (the short position) seeks daily investment results that correspond to three times the inverse (-3x) of the daily performance of the S&P 500®.
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“The resulting portfolio would have earned an outstanding return of 1,484% during the same period of 2016 to 2023, while an investment in the QQQ ETF would have earned 169% annualized.”