$BTC and NVIDIA using Shannon entropy and Lyapunov exponent for normalized momentum. When both metrics are at their lowest, conditions are considered 'ideal' . Conversely, high values should be avoided, as they indicate violent price movements and increased randomness.
Use of SPY daily data with momentum, volatility, and mean reversion as inputs for the development of an Aizawa attractor, and deviations with percentiles
* Entry: 0.915 (Current Price - counter-trend entry for a short position, waiting for the bounce to fail) * Targets (TP): * TP1: 0.901 (The 24-hour Low, aiming for a break and continuation) * TP2: 0.880 (Short-term extension if the low breaks) * TP3: 0.850 (Extended target if bearish momentum is sustained)
* Stop Loss (SL): 0.918 (Just above the fast-moving MA(7), which acts as immediate overhead resistance)
* Entry: 0.12172 (Current Price - high-risk entry, buying into a downtrend) * Targets (TP): * TP1: 0.12553 (The fast-moving MA(7), which acts as immediate resistance) * TP2: 0.12815 (Short-term former support now resistance) * TP3: 0.13963 (The MA(25), a stronger resistance level)
* Stop Loss (SL): 0.12114 (Just below the 24-hour Low, failure here signals further decline)