Select a cryptocurrency to analyze 7 days of hourly data
Current Price
$0
7-Day Change
0%
Next Hour Price Direction
Analyzing...
Neural network trained on entropy, fractal dimension, Hurst exponent, volatility patterns and volume
Shannon Entropy
0.000
Calculating...
Fractal Dimension
0.0000
Calculating...
Hurst Exponent
0.500
Random Walk
Volatility (Annual)
0.0%
Moderate
Shannon Entropy: Measures unpredictability using adaptive binning. Higher values (> 3.8) indicate chaotic distributions.
Permutation Entropy: Measures pattern complexity (0-1). Values > 0.8 indicate high disorder in price patterns.
Fractal Dimension: Geometric complexity via variance method. 1.0 = smooth, 2.0 = chaotic. Values > 1.7 indicate fractal behavior.
Hurst Exponent (DFA): Uses Detrended Fluctuation Analysis. H > 0.6 = persistent trends, H < 0.4=mean reversion, H ≈ 0.5=random.
Volatility: Annualized from hourly returns with outlier filtering. Typical crypto: 40-150%.
Skewness & Kurtosis: Measure distribution asymmetry and tail heaviness. High kurtosis (>3) indicates extreme moves.
Volume: Each data point has its own 24h volume snapshot Current volume shows the latest 24h. Average over 7 days shows typical volume. Volume change compares recent vs older periods. Volume trend shows if volume is increasing/decreasing