@gabriel3615/ta_analysis/dist/strategy/AverageDownStrategy.d.ts

stock ta analysis

interface InitState {
    initialShares: number;
    initialPrice: number;
    currentPrice: number;
    feePerTrade: number;
    downPercent: number;
    upPercent: number;
    volatility: number;
    tradingRatio: number;
    maxCycles: number;
}
/**
 * 模拟股票滚仓策略，计算降低成本所需的循环次数
 * 该策略通过在价格下跌时买入，上涨时卖出，逐步降低持仓成本
 * @param initState 初始参数设置
 * @returns 滚仓策略模拟结果
 */
declare function simulateStockTrading(initState: InitState): {
    initialState: {
        initialShares: number;
        initialPrice: number;
        currentPrice: number;
        totalInvestment: number;
        currentMarketValue: number;
        avgCost: number;
        tradingPosition: number;
        fixedPosition: number;
        feePerTrade: number;
    };
    finalState: {
        cycles: number;
        finalShares: number;
        finalAvgCost: number;
        costReductionPercent: number;
        totalFees: number;
        cashBalance: number;
        breakEvenPrice: number;
        breakEvenGrowth: number;
    };
    tradeHistory: any[];
    parameterSettings: {
        downPercent: number;
        upPercent: number;
        tradingRatio: number;
        feePerTrade: number;
    };
};
/**
 * 运行滚仓模拟并格式化输出结果
 * @param initState 初始参数
 * @param printDetails 是否打印详细交易历史
 * @returns 格式化的输出结果
 */
declare function runAvgDownSimulation(initState: InitState, printDetails: boolean): string;
/**
 * 比较不同参数设置对滚仓策略效果的影响
 * @param initState 基础参数设置
 * @returns 不同参数比较的结果报告
 */
declare function compareAvgDownParameters(initState: InitState): string;
export { runAvgDownSimulation, compareAvgDownParameters, simulateStockTrading, InitState, };