/**
 * Machine Learning RSI [BullVision]
 *
 * kNN applied to RSI for adaptive overbought/oversold thresholds.
 * Finds k-nearest historical bars with similar RSI values, then analyzes
 * what price did after those readings to compute adaptive OB/OS levels.
 *
 * Reference: TradingView "Machine Learning RSI [BullVision]" (TV#411)
 */
import { type IndicatorResult, type InputConfig, type PlotConfig, type Bar, type SourceType } from 'oakscriptjs';
import type { TableData, BarColorData } from '../types';
export interface MlRsiInputs {
    rsiLen: number;
    k: number;
    lookback: number;
    src: SourceType;
}
export declare const defaultInputs: MlRsiInputs;
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<MlRsiInputs>): IndicatorResult & {
    tables: TableData;
    barColors: BarColorData[];
};
export declare const MlRsi: {
    calculate: typeof calculate;
    metadata: {
        title: string;
        shortTitle: string;
        overlay: boolean;
    };
    defaultInputs: MlRsiInputs;
    inputConfig: InputConfig[];
    plotConfig: PlotConfig[];
};
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