/**
 * Shared technical indicator utilities for scanner implementations.
 *
 * All functions are pure and operate on numeric arrays.
 */
/**
 * Computes the Exponential Moving Average for a series of close prices.
 * Returns the full EMA array (same length as input).
 */
export declare function computeEma(closes: number[], period: number): number[];
/**
 * Computes the Relative Strength Index for a series of close prices.
 *
 * Uses the standard smoothed (Wilder's) method: initial average over
 * the first `period` changes, then exponential smoothing for subsequent.
 *
 * @returns RSI value (0-100) for the latest bar, or `null` if insufficient data.
 */
export declare function computeRsi(closes: number[], period?: number): number | null;
/**
 * Detects higher-highs / lower-lows pattern in a price series.
 *
 * Looks at local swing points (local maxima for highs, local minima for lows)
 * across the lookback window. Returns a score:
 * - Positive → higher-highs + higher-lows (bullish structure)
 * - Negative → lower-highs + lower-lows (bearish structure)
 * - Near zero → mixed / no clear structure
 *
 * @returns Score in [-1, 1].
 */
export declare function detectSwingPattern(highs: number[], lows: number[], lookback?: number): number;
/**
 * Computes the ratio of recent volume to average volume.
 *
 * @param volumes - Volume array (chronological).
 * @param recentBars - Number of recent bars to average for "current" volume.
 * @returns Ratio (e.g. 1.5 = 50% above average). Returns 0 if insufficient data.
 */
export declare function volumeRatio(volumes: number[], recentBars?: number): number;
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