# Statistics > "All models are wrong, but some are useful." — George Box Statistical tools applied to price and returns. These indicators quantify relationships, measure dispersion, test hypotheses. Unlike momentum or trend indicators, statistics describe the data itself. | Indicator | Full Name | Description | | :--- | :--- | :--- | | [ACF](acf/Acf.md) | Autocorrelation Function | Correlation of time series with lagged copy. For ARMA model identification. | | [BETA](beta/Beta.md) | Beta Coefficient | Asset volatility relative to market. β=1 means market-matched risk. | | [BIAS](bias/Bias.md) | Bias | Percentage deviation from moving average. Measures overextension. | | [CMA](cma/Cma.md) | Cumulative Moving Average | Running average of all values. Welford's algorithm. No window. | | [COINTEGRATION](cointegration/Cointegration.md) | Cointegration | Tests if series share long-term equilibrium. Pairs trading foundation. | | [CORRELATION](correlation/Correlation.md) | Correlation | Linear relationship between two variables. Range: -1 to +1. | | [COVARIANCE](covariance/Covariance.md) | Covariance | Joint variability of two random variables. Building block for β. | | [ENTROPY](entropy/Entropy.md) | Shannon Entropy | Measures uncertainty/randomness. Higher entropy = less predictable. | | [GEOMEAN](geomean/Geomean.md) | Geometric Mean | nth root of product. Use for growth rates and ratios. | | [GRANGER](granger/Granger.md) | Granger Causality | Tests if one series helps predict another. Not true causality. | | [HARMEAN](harmean/Harmean.md) | Harmonic Mean | Reciprocal of arithmetic mean of reciprocals. For rates/ratios. | | [HURST](hurst/Hurst.md) | Hurst Exponent | Long-term memory. H>0.5: trending. H<0.5: mean-reverting. | | [IQR](iqr/Iqr.md) | Interquartile Range | P75 - P25. Robust dispersion measure. | | [JB](jb/Jb.md) | Jarque-Bera Test | Normality test using skewness and kurtosis. | | [KENDALL](kendall/Kendall.md) | Kendall Rank Correlation | Ordinal association. Robust to outliers. | | [KURTOSIS](kurtosis/Kurtosis.md) | Kurtosis | Tail heaviness. High kurtosis = fat tails = more extreme events. | | [LINREG](linreg/LinReg.md) | Linear Regression | Least squares fit. Outputs slope, intercept, R². | | [MEDIAN](median/Median.md) | Median | Middle value in sorted window. Robust to outliers. | | [MODE](mode/Mode.md) | Mode | Most frequent value. Use for categorical or discrete data. | | [PACF](pacf/Pacf.md) | Partial Autocorrelation Function | Direct correlation at lag k after removing intermediate effects. For AR model identification. | | [PERCENTILE](percentile/Percentile.md) | Percentile | Value below which given percentage of observations fall. | | [QUANTILE](quantile/Quantile.md) | Quantile | Divides distribution into equal probability intervals. | | [SKEW](skew/Skew.md) | Skewness | Distribution asymmetry. Positive: right tail. Negative: left tail. | | [SPEARMAN](spearman/Spearman.md) | Spearman Rank Correlation | Pearson on ranks. Measures monotonic relationship. | | [STDDEV](stddev/StdDev.md) | Standard Deviation | Square root of variance. Same units as data. | | [SUM](sum/Sum.md) | Rolling Sum | Kahan-Babuška summation. Numerically stable. | | [THEIL](theil/Theil.md) | Theil Index | Inequality measure. Decomposable into within/between group. | | [VARIANCE](variance/Variance.md) | Variance | Average squared deviation from mean. Units are squared. | | [ZSCORE](zscore/Zscore.md) | Z-Score | Standard deviations from mean. Normalizes different scales. | | [ZTEST](ztest/Ztest.md) | Z-Test | One-sample t-test statistic against hypothesized mean. |