Live analysis of QQQ market open using Spread Monster's volatility waves and real market data for May 16, 2025.
Key Takeaways
- Spread Monster uses actual market data (ask, bid, option chain) rather than derived metrics like Greeks or implied volatility.
- The system identifies key price zones with sinusoidal waves that reflect historical volatility and market potential.
- Market opening price is predicted within a defined purple zone with probabilities for price movement inside or outside this range.
- The neural net/tree algorithm filters relevant waves, simplifying complex market data into actionable insights.
- Despite its sophistication, the system is not infallible and market price can deviate from predicted zones.
Summary
- The video analyzes expected QQQ market opening price ranges based on market makers' data and historical volatility.
- Uses Spread Monster tool to visualize sinusoidal waves representing price potential and volatility without relying on Greeks or implied volatility.
- Focuses on real market data from ask, bid, and option chains rather than derived theoretical values.
- Identifies a purple box zone where the market is likely to open and discusses the probability of price movements within this range.
- Explains the system's neural net/tree structure that filters and displays only four qualifying sinusoidal waves based on historical data.
- Discusses Friday splicing and how the system accounts for Thursday to Friday market transitions.
- Highlights the importance of wave flatness as an indicator of price potential and likelihood to move into certain price areas.
- Mentions the limitations of the system, acknowledging it can be wrong despite being data-driven.
- Shows how the system uses historical closes and opens to predict probable price zones and potential closing prices.
- Provides real-time updates and commentary on price action as the market opens and trades.
Chapters
- 00:00Introduction and Opening Price Range Setup
- 02:01Market Makers' Opening Price Predictions
- 03:17Understanding Price Range and Volatility
- 04:50Using Real Market Data vs. Derived Metrics
- 07:09Neural Net and Sinusoidal Wave Filtering
- 08:31Thursday to Friday Market Splicing
- 09:41Price Movement and Closing Price Probabilities
- 11:00System Limitations and Real-Time Market Updates
- 15:38Summary and Final Market Observations











