| Feature | Standard Technical Indicators (RSI, MACD, MA) | Financial Interferometry |
|---|
| Mathematical Basis | Arithmetic/Statistics: Uses summation, division, and standard deviation to find means and momentum. | Complex Analysis: Employs Laplace Transforms to map price into the  -plane, identifying poles (singularities) that indicate trend structural limits. |
| Data Focus | Point-in-Time History: Analyzes discrete closing prices and volume bars over a set look-back period. | Waveform Superposition: Treats capital flow as continuous energy waves. It looks for fringe patterns—the interference generated when multiple flows collide. |
| Noise Filtering | Smoothing: Lags the signal by averaging “noise” with “signal,” often blurring the actual price turn. | Spectral Isolation: Aims to separate noise from signal by frequency. It estimates the spectral slope to determine if the market is trending or purely random. |
| Time Treatment | Linear/Static: Fixed time intervals (e.g., a “daily” candle) that ignore the variable speed of market activity. | Elastic/Dynamic: Uses calendar-corrected time, stretching the axis during high-activity periods and compressing it during lulls to avoid aliasing. |
| Signal Type | Lagging/Reactive: Confirms a trend after price action has already moved the averages. | Structural/Leading: Aims to identify “beat wavelengths” between transactions, signaling a reversal before it manifests in price. |
| Outcome Goal | Prediction: Probability-based guesses on where the price might go next. | Process Control: Treating the market like a physical system to identify the “Real-Time Delta” of price movement. |