/**
 * Machine Learning Moving Average [LuxAlgo]
 *
 * Gaussian Process Regression-inspired moving average.
 * For each bar, compute weighted average of lookback window using Gaussian kernel weights.
 * Weight(i) = exp(-0.5 * ((i - current) / sigma)^2)
 * Upper/lower bands = center +/- mult * weighted_stdev.
 *
 * Reference: TradingView "Machine Learning Moving Average [LuxAlgo]" (TV#410)
 */
import { type IndicatorResult, type InputConfig, type PlotConfig, type Bar, type SourceType } from 'oakscriptjs';
import type { MarkerData, BgColorData } from '../types';
export interface MlMovingAverageInputs {
    window: number;
    sigma: number;
    mult: number;
    src: SourceType;
}
export declare const defaultInputs: MlMovingAverageInputs;
export declare const inputConfig: InputConfig[];
export declare const plotConfig: PlotConfig[];
export declare const metadata: {
    title: string;
    shortTitle: string;
    overlay: boolean;
};
export declare function calculate(bars: Bar[], inputs?: Partial<MlMovingAverageInputs>): IndicatorResult & {
    markers: MarkerData[];
    bgColors: BgColorData[];
};
export declare const MlMovingAverage: {
    calculate: typeof calculate;
    metadata: {
        title: string;
        shortTitle: string;
        overlay: boolean;
    };
    defaultInputs: MlMovingAverageInputs;
    inputConfig: InputConfig[];
    plotConfig: PlotConfig[];
};
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