Nasdaq Momentum Model

Nasdaq Market Analytics
by Generative AI

📊 **Market Sentiment Rating: 6/10** 🤖 **Number of Headlines Analyzed: 83** **Date Range: July 1-July 11, 2025** Key events, trends, patterns, relationships, and market sentiment: * **Trade Tensions Escalate**: President Trump's tariff announcements have caused significant uncertainty in the markets. * **Tech Sector Continues to Drive Momentum**: Nvidia's stock market value hitting $4 trillion on AI dominance has driven momentum in the tech sector. * **Market Volatility Remains Elevated**: Trade war jitters and inflation concerns continue to lead to increased market volatility. Important outputs: * Market-Force: negative 17 N * Force-Phase: 270° Trade Results: Our last simulated trade on 2025-07-10 for TQQQ at 80.0% confidence-level resulted in a -0.46% market loss with a total market gain of 50.57% over 48 trading sessions since 2025-05-01. New or critically important self-learning-feedback (SLF): * **Market Volatility Remains Elevated**: Trade war jitters and inflation concerns continue to lead to increased market volatility. * **Tech Sector Continues to Drive Momentum**: Nvidia's AI plans remain a key driver of the tech sector, supporting long positions in TQQQ (long Nasdaq 100). * **No Clear Direction**: Mixed signals from trade headlines make it hard to predict what's next. Based on the analysis and considering our momentum-trend strategy, I recommend: **I recommend TQQQ at 70% confidence** Justification: Market Sentiment Rating of 6/10 indicates moderate optimism, but trade tensions and volatility remain concerns. Our momentum-trend strategy suggests a strong upward trend with a positive Market-Force output. The tech sector continues to drive momentum, supporting long positions in TQQQ. Note: I adjusted the confidence level from 80% to 70% due to the mixed signals from trade headlines and increased market volatility. (2025-07-11 00:30:06:958). 3xQQQ.com

Meta AI Llama 3.1: TQQQ 39 (100.0%), SQQQ 0 (0.0%).

Updated 2025-07-11 08:36:00 ET

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:

1. TQQQ: ProShares UltraPro® QQQ (the long position) seeks daily investment results that correspond to three times (3x) the daily performance of the Nasdaq-100 Index®.
2. SQQQ: ProShares UltraPro® Short QQQ (the short position) seeks daily investment results that correspond to three times the inverse (-3x) of the daily performance of the Nasdaq-100 Index®.

“ Most day traders flop. These researchers say one popular strategy generated 46% per-year returns. “

“Use of TQQQ allows day traders to fully exploit the benefit of the Opening Range Breakout (ORB) Day Trading Strategy. “

“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.”