@gabriel3615/ta_analysis/dist/analysis/analyzer/chip/multiTimeFrameChipDistributionAnalysis.js

stock ta analysis

import { analyzeChipDistribution, calculateChipDistribution, } from './chipDistributionAnalysis.js';
import { combineTimeframeAnalyses } from './combineTimeframes.js';
import { formatAndPrintChipAnalysis } from './formatChipAnalysis.js';
/**
 * 获取不同时间周期的K线数据
 * @param symbol 股票代码
 * @param startDate 开始日期
 * @param endDate 结束日期
 * @param timeframe 时间周期
 */
/**
 * 分析多个时间周期并生成综合建议
 */
function multiTimeFrameChipDistAnalysis(symbol, primaryTimeframe = 'daily', includeTimeframes = [
    'weekly',
    'daily',
    '1hour',
], weights = {
    weekly: 0.3,
    daily: 0.5,
    '1hour': 0.2,
}, weeklyData, dailyData, hourlyData) {
    const timeframeAnalyses = [];
    let candles = [];
    // 为每个时间周期获取数据并分析
    for (const timeframe of includeTimeframes) {
        if (timeframe === 'weekly') {
            candles = weeklyData;
        }
        else if (timeframe === '1hour') {
            candles = hourlyData;
        }
        else {
            candles = dailyData;
        }
        // 计算筹码分布
        const chipDistribution = calculateChipDistribution(candles);
        // 分析筹码分布
        const analysis = analyzeChipDistribution(symbol, chipDistribution, candles[candles.length - 1].close, candles);
        // 添加到时间周期分析结果中，带有权重
        timeframeAnalyses.push({
            timeframe,
            analysis,
            weight: weights[timeframe] || 0.33, // 如果未指定则使用平均权重
        });
    }
    // 组合各时间周期的分析结果，生成综合建议
    return combineTimeframeAnalyses(timeframeAnalyses, primaryTimeframe);
}
// 导出核心函数，使其可供其他模块使用
export { multiTimeFrameChipDistAnalysis };
export { formatAndPrintChipAnalysis };