/**
 * Machine Learning: kNN-based Strategy
 *
 * k-Nearest Neighbors classification using RSI and CCI as dual features.
 * For each bar, computes Euclidean distance to all historical feature pairs,
 * finds k-nearest neighbors, and takes majority vote on price direction.
 *
 * Reference: TradingView "Machine Learning: kNN-based Strategy" (TV#413)
 */
import { type IndicatorResult, type InputConfig, type PlotConfig, type Bar, type SourceType } from 'oakscriptjs';
import type { MarkerData } from '../types';
export interface MlKnnStrategyInputs {
    k: number;
    rsiLen: number;
    cciLen: number;
    lookback: number;
    src: SourceType;
}
export declare const defaultInputs: MlKnnStrategyInputs;
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<MlKnnStrategyInputs>): IndicatorResult & {
    markers: MarkerData[];
};
export declare const MlKnnStrategy: {
    calculate: typeof calculate;
    metadata: {
        title: string;
        shortTitle: string;
        overlay: boolean;
    };
    defaultInputs: MlKnnStrategyInputs;
    inputConfig: InputConfig[];
    plotConfig: PlotConfig[];
};
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