diff --git a/pages.json b/pages.json
index 6e16917..125617a 100644
--- a/pages.json
+++ b/pages.json
@@ -97,14 +97,6 @@
 			}
 		},
 		{
-			"path": "pages/marketSituation/chartExample",
-			"style": {
-				"navigationBarTitleText": "图表示例",
-				"navigationBarBackgroundColor": "#ffffff",
-				"navigationBarTextStyle": "black"
-			}
-		},
-		{
 			"path": "pages/marketSituation/globalIndex",
 			"style": {
 				"navigationStyle": "custom",
diff --git a/pages/marketSituation/chartExample.vue b/pages/marketSituation/chartExample.vue
deleted file mode 100644
index 47ab2a3..0000000
--- a/pages/marketSituation/chartExample.vue
+++ /dev/null
@@ -1,655 +0,0 @@
-<template>
-    <view style="width: 750rpx; height: 750rpx;">
-        <l-echart ref="chartRef" @finished="initChart"></l-echart>
-    </view>
-</template>
-<script setup>
-import { ref, computed, onMounted } from 'vue';
-
-const chartRef = ref(null)
-// 获取系统信息，替代 window.innerWidth
-const systemInfo = uni.getSystemInfoSync()
-const screenWidth = ref(systemInfo.screenWidth || 375) // 默认值 375px
-
-// 生成30天的交易信号数据
-const generateAIGoldBullData = () => {
-    const data = []
-    
-    for (let i = 0; i < 30; i++) {
-        // 模拟交易信号 [索引, 买入信号, 卖出信号, 持有信号, 强度, 成交量]
-        const buySignal = Math.random() > 0.7 ? 1 : 0      // 30%概率买入信号
-        const sellSignal = Math.random() > 0.8 ? 1 : 0     // 20%概率卖出信号
-        const holdSignal = Math.random() > 0.5 ? 1 : 0     // 50%概率持有信号
-        const strength = Math.floor(Math.random() * 3) + 1  // 信号强度1-3
-        const volume = Math.floor(Math.random() * 2000) + 500 // 成交量500-2500
-        
-        data.push([i, buySignal, sellSignal, holdSignal, strength, volume])
-    }
-    return data
-}
-
-// 添加缺失的变量定义
-var option
-const AIGoldBull = ref({
-    JN: generateAIGoldBullData()
-})
-
-// 模拟多语言数据
-const t = ref({
-    suoxie: 'zh',
-    tianxian: '天线',
-    feixian: '飞线',
-    zhoongxian: '中线',
-    liuxian: '流线',
-    Klinetext_5: 'K线5',
-    Klinetext_6: 'K线6',
-    maipan: '买盘',
-    maipan1: '卖盘'
-})
-
-// 生成30天的模拟K线数据 [日期, 开盘, 最高, 最低, 收盘]
-const generateKLineData = () => {
-    const data = []
-    let basePrice = 2450 // 黄金基础价格
-    
-    for (let i = 0; i < 30; i++) {
-        const date = new Date(2024, 0, i + 1).toISOString().split('T')[0]
-        
-        // 模拟价格波动
-        const volatility = (Math.random() - 0.5) * 50 // ±25的波动
-        const open = basePrice + volatility
-        
-        const highVolatility = Math.random() * 30 + 10 // 10-40的向上波动
-        const lowVolatility = Math.random() * 30 + 10  // 10-40的向下波动
-        
-        const high = Math.max(open, open + highVolatility)
-        const low = Math.min(open, open - lowVolatility)
-        
-        const closeVolatility = (Math.random() - 0.5) * 20
-        const close = Math.max(low, Math.min(high, open + closeVolatility))
-        
-        data.push([date, 
-            Math.round(open * 100) / 100, 
-            Math.round(high * 100) / 100, 
-            Math.round(low * 100) / 100, 
-            Math.round(close * 100) / 100
-        ])
-        
-        basePrice = close // 下一天的基础价格
-    }
-    return data
-}
-
-// 生成30天的成交量和技术指标数据 [日期, 成交量1, 成交量2, 指标1, 指标2, 指标3]
-const generateWaveVolData = () => {
-    const data = []
-    
-    for (let i = 0; i < 30; i++) {
-        const date = new Date(2024, 0, i + 1).toISOString().split('T')[0]
-        
-        // 模拟成交量数据
-        const vol1 = Math.floor(Math.random() * 2000) + 800  // 800-2800
-        const vol2 = Math.floor(Math.random() * 1500) + 600  // 600-2100
-        
-        // 模拟技术指标
-        const indicator1 = Math.floor(Math.random() * 30) + 40  // 40-70
-        const indicator2 = Math.floor(Math.random() * 40) + 50  // 50-90
-        const indicator3 = Math.floor(Math.random() * 35) + 60  // 60-95
-        
-        data.push([date, vol1, vol2, indicator1, indicator2, indicator3])
-    }
-    return data
-}
-
-// 生成30天的移动平均线数据 [MA5, MA10, MA20, MA30]
-const generateFTLineData = () => {
-    const data = []
-    let ma5Base = 2450
-    let ma10Base = 2445
-    let ma20Base = 2440
-    let ma30Base = 2435
-    
-    for (let i = 0; i < 30; i++) {
-        // 模拟移动平均线的平滑变化
-        ma5Base += (Math.random() - 0.5) * 10
-        ma10Base += (Math.random() - 0.5) * 8
-        ma20Base += (Math.random() - 0.5) * 6
-        ma30Base += (Math.random() - 0.5) * 4
-        
-        data.push([
-            Math.round(ma5Base * 100) / 100,
-            Math.round(ma10Base * 100) / 100,
-            Math.round(ma20Base * 100) / 100,
-            Math.round(ma30Base * 100) / 100
-        ])
-    }
-    return data
-}
-
-// 生成模拟数据
-const mockKLineData = generateKLineData()
-const mockWaveVolData = generateWaveVolData()
-const mockFTLineData = generateFTLineData()
-
-// 生成RSI指标数据 (相对强弱指数)
-const generateRSIData = () => {
-    const data = []
-    for (let i = 0; i < 30; i++) {
-        const rsi = Math.random() * 60 + 20 // RSI值在20-80之间
-        data.push(Math.round(rsi * 100) / 100)
-    }
-    return data
-}
-
-// 生成MACD指标数据
-const generateMACDData = () => {
-    const data = []
-    for (let i = 0; i < 30; i++) {
-        const macd = (Math.random() - 0.5) * 20 // MACD值在-10到10之间
-        const signal = (Math.random() - 0.5) * 15 // 信号线
-        const histogram = macd - signal // 柱状图
-        
-        data.push([
-            Math.round(macd * 100) / 100,
-            Math.round(signal * 100) / 100,
-            Math.round(histogram * 100) / 100
-        ])
-    }
-    return data
-}
-
-// 生成布林带数据
-const generateBollingerData = () => {
-    const data = []
-    let middleLine = 2450
-    
-    for (let i = 0; i < 30; i++) {
-        middleLine += (Math.random() - 0.5) * 10
-        const upperBand = middleLine + Math.random() * 30 + 20 // 上轨
-        const lowerBand = middleLine - Math.random() * 30 - 20 // 下轨
-        
-        data.push([
-            Math.round(upperBand * 100) / 100,
-            Math.round(middleLine * 100) / 100,
-            Math.round(lowerBand * 100) / 100
-        ])
-    }
-    return data
-}
-
-// 生成成交量分析数据
-const generateVolumeAnalysisData = () => {
-    const data = []
-    for (let i = 0; i < 30; i++) {
-        const buyVolume = Math.floor(Math.random() * 1500) + 500  // 买入量
-        const sellVolume = Math.floor(Math.random() * 1500) + 500 // 卖出量
-        const netVolume = buyVolume - sellVolume // 净买入量
-        
-        data.push([buyVolume, sellVolume, netVolume])
-    }
-    return data
-}
-
-// 生成市场情绪数据
-const generateMarketSentimentData = () => {
-    const sentiments = ['极度恐慌', '恐慌', '中性', '贪婪', '极度贪婪']
-    const data = []
-    
-    for (let i = 0; i < 30; i++) {
-        const sentimentIndex = Math.floor(Math.random() * 100) // 0-100的情绪指数
-        const sentimentLabel = sentiments[Math.floor(sentimentIndex / 20)]
-        
-        data.push({
-            date: new Date(2024, 0, i + 1).toISOString().split('T')[0],
-            index: sentimentIndex,
-            label: sentimentLabel,
-            fearGreedRatio: Math.random() * 100
-        })
-    }
-    return data
-}
-
-// 生成重要新闻事件数据
-const generateNewsEventsData = () => {
-    const events = [
-        '美联储利率决议',
-        '非农就业数据发布',
-        '通胀数据公布',
-        '地缘政治紧张',
-        '央行政策变化',
-        '经济数据超预期',
-        '市场技术突破',
-        '大宗商品价格波动'
-    ]
-    
-    const data = []
-    for (let i = 0; i < 10; i++) { // 生成10个随机事件
-        const randomDay = Math.floor(Math.random() * 30) + 1
-        const event = events[Math.floor(Math.random() * events.length)]
-        const impact = Math.floor(Math.random() * 5) + 1 // 影响力1-5
-        
-        data.push({
-            date: new Date(2024, 0, randomDay).toISOString().split('T')[0],
-            event: event,
-            impact: impact,
-            type: Math.random() > 0.5 ? 'positive' : 'negative'
-        })
-    }
-    return data.sort((a, b) => new Date(a.date) - new Date(b.date))
-}
-
-// 生成价格预测数据
-const generatePricePredictionData = () => {
-    const data = []
-    let currentPrice = 2450
-    
-    for (let i = 0; i < 7; i++) { // 未来7天预测
-        const date = new Date(2024, 1, i + 1).toISOString().split('T')[0] // 2月份
-        
-        // 模拟AI预测的价格区间
-        const prediction = currentPrice + (Math.random() - 0.5) * 100
-        const confidence = Math.random() * 40 + 60 // 60-100%的置信度
-        const upperBound = prediction + Math.random() * 50
-        const lowerBound = prediction - Math.random() * 50
-        
-        data.push({
-            date: date,
-            predicted_price: Math.round(prediction * 100) / 100,
-            confidence: Math.round(confidence),
-            upper_bound: Math.round(upperBound * 100) / 100,
-            lower_bound: Math.round(lowerBound * 100) / 100
-        })
-        
-        currentPrice = prediction
-    }
-    return data
-}
-
-// 模拟提取的绘图数据
-const extractedDrawData = {
-    KLine20: mockKLineData,
-    WAVEVOL: mockWaveVolData,
-    FTLINE: mockFTLineData,
-    RSI: generateRSIData(),
-    MACD: generateMACDData(),
-    BOLLINGER: generateBollingerData(),
-    VOLUME_ANALYSIS: generateVolumeAnalysisData(),
-    MARKET_SENTIMENT: generateMarketSentimentData(),
-    NEWS_EVENTS: generateNewsEventsData(),
-    PRICE_PREDICTION: generatePricePredictionData()
-}
-
-const fnShowEcharts4 = (extractedDrawData) => {
-    const splitData = (b) => {
-        const a = JSON.parse(JSON.stringify(b))
-        let categoryData = []
-        let values = []
-        for (let i = 0; i < a.length; i++) {
-            categoryData.push(a[i].splice(0, 1)[0])
-            values.push(a[i])
-        }
-        return {
-            categoryData,
-            values
-        }
-    }
-    var bodongliang = splitData(extractedDrawData.WAVEVOL)
-    function bodongliangData(values, i) {
-        return values.map((subArray) => subArray[i])
-    }
-    function calculateMA(index, data) {
-        let result = []
-        if (data.FTLINE) {
-            data.FTLINE.forEach((item) => {
-                result.push(item[index])
-            })
-        }
-        return result
-    }
-    function vwToPx(vw) {
-        return (screenWidth.value * vw) / 100
-    }
-    var dealData = splitData(extractedDrawData.KLine20)
-    var dealGnBullData = AIGoldBull.value.JN
-    const textEcharts = t.value
-    const firstLegend = computed(() => {
-        if (screenWidth.value < 768) {
-            if (textEcharts.suoxie === 'en' || textEcharts.suoxie === 'th') {
-                return '2%'
-            } else if (textEcharts.suoxie === 'kr') {
-                return '2%'
-            } else {
-                return '2%'
-            }
-        } else {
-            return textEcharts.suoxie === 'en' ||
-                textEcharts.suoxie === 'th' ||
-                textEcharts.suoxie === 'kr'
-                ? '9%'
-                : '9%'
-        }
-    })
-    const processBarData = (data) => {
-        const barData = []
-        data.forEach((item) => {
-            let color
-            switch (item[4]) {
-                case 1:
-                    color = '#13E113'
-                    break
-                case 2:
-                    color = '#FF0E00'
-                    break
-                case 3:
-                    color = '#0000FE'
-                    break
-                case 4:
-                    color = '#1397FF'
-                    break
-            }
-            barData.push({
-                value: item[5],
-                itemStyle: {
-                    normal: {
-                        color: color
-                    }
-                }
-            })
-        })
-        return { barData }
-    }
-    const { barData } = processBarData(dealGnBullData)
-    option = {
-        tooltip: {
-            trigger: 'axis',
-            axisPointer: {
-                type: 'cross'
-            },
-            backgroundColor: 'rgba(119, 120, 125, 0.6)',
-            borderWidth: 1,
-            borderColor: '#77787D',
-            padding: 10,
-            textStyle: {
-                color: '#fff'
-            }
-        },
-        axisPointer: {
-            link: [
-                {
-                    xAxisIndex: 'all'
-                }
-            ],
-            label: {
-                backgroundColor: '#77787D'
-            }
-        },
-        toolbox: {
-            show: false
-        },
-        grid: [
-            {
-                left: screenWidth.value > 768 ? '10%' : '12%',
-                right: screenWidth.value > 768 ? '4%' : '6%',
-                top: screenWidth.value > 768 ? '10%' : '12%',
-                height: screenWidth.value > 768 ? '35%' : '34%',
-                containLabel: false
-            },
-            {
-                left: screenWidth.value > 768 ? '10%' : '12%',
-                right: screenWidth.value > 768 ? '4%' : '6%',
-                top: screenWidth.value > 768 ? '48%' : '48%',
-                height: screenWidth.value > 768 ? '19%' : '21%',
-                containLabel: false
-            },
-            {
-                left: screenWidth.value > 768 ? '10%' : '12%',
-                right: screenWidth.value > 768 ? '4%' : '6%',
-                top: screenWidth.value > 768 ? '70%' : '71%',
-                height: screenWidth.value > 768 ? '19%' : '21%',
-                containLabel: false
-            }
-        ],
-        xAxis: [
-            {
-                type: 'category',
-                data: dealData.categoryData,
-                boundaryGap: true,
-                axisLine: { onZero: false },
-                splitLine: { show: false },
-                min: 'dataMin',
-                max: 'dataMax',
-                axisPointer: {
-                    z: 100,
-                    label: {
-                        show: false // 不显示标签
-                    }
-                },
-                axisLine: {
-                    lineStyle: {
-                        color: 'black'
-                    }
-                }, //
-                axisLabel: { show: false },
-                axisTick: { show: false }
-            },
-            {
-                type: 'category',
-                gridIndex: 1,
-                data: dealData.categoryData,
-                boundaryGap: true,
-                axisPointer: {
-                    z: 100,
-                    label: {
-                        show: false // 不显示标签
-                    }
-                },
-                axisLine: { lineStyle: { color: 'black' } },
-                axisLabel: {
-                    show: false,
-                    interval: 'auto'
-                },
-                axisTick: { show: false }
-            },
-            {
-                type: 'category',
-                gridIndex: 2,
-                data: dealData.categoryData,
-                boundaryGap: true,
-                axisLine: { lineStyle: { color: 'black' } },
-                axisLabel: {
-                    show: true,
-                    interval: 'auto',
-                    fontSize: screenWidth.value > 768 ? 15 : 9
-                },
-                axisTick: { show: false }
-            }
-        ],
-        yAxis: [
-            {
-                scale: true,
-                gridIndex: 0,
-                position: 'left',
-                axisLabel: {
-                    inside: false,
-                    align: 'right',
-                    fontSize: screenWidth.value > 768 ? 15 : 9
-                },
-                axisLine: {
-                    show: true,
-                    lineStyle: {
-                        fontSize: '',
-                        color: 'black'
-                    }
-                },
-                axisTick: { show: false },
-                splitLine: { show: false }
-            },
-            {
-                scale: true,
-                gridIndex: 1,
-                splitNumber: 4,
-                min: 0,
-                minInterval: 1,
-                axisLabel: {
-                    show: true,
-                    fontSize: screenWidth.value > 768 ? 15 : 9,
-                    margin: 8,
-                },
-                axisLine: { show: true, lineStyle: { color: 'black' } },
-                axisTick: { show: false },
-                splitLine: { show: true, lineStyle: { type: 'dashed' } },
-                boundaryGap: ['20%', '20%']
-            },
-            {
-                scale: true,
-                gridIndex: 2,
-                splitNumber: 2,
-                axisLabel: {
-                    show: true,
-                    fontSize: screenWidth.value > 768 ? 15 : 9
-                },
-                axisLine: { show: true, lineStyle: { color: 'black' } },
-                axisTick: { show: false },
-                splitLine: { show: false }
-            }
-        ],
-        dataZoom: [
-            {
-                type: 'inside',
-                xAxisIndex: [0, 1, 2],
-                start: 50,
-                end: 100
-            },
-            {
-                show: true,
-                xAxisIndex: [0, 1, 2],
-                type: 'slider',
-                start: 50,
-                end: 100
-            }
-        ],
-        series: [
-            {
-                type: 'candlestick',
-                name: '日K',
-                xAxisIndex: 0,
-                yAxisIndex: 0,
-                data: dealData.values,
-                itemStyle: {
-                    normal: {
-                        color0: 'red',
-                        color: 'green',
-                        borderColor0: 'red',
-                        borderColor: 'green'
-                    }
-                },
-                gridIndex: 1
-            },
-            {
-                name: '成交量',
-                type: 'bar',
-                barWidth: '70%',
-                xAxisIndex: 1,
-                yAxisIndex: 1,
-                data: barData,
-            },
-            // {
-            //     name: textEcharts.feixian,
-            //     type: 'line',
-            //     data: calculateMA(1, extractedDrawData),
-            //     smooth: true,
-            //     symbol: 'none',
-            //     xAxisIndex: 2,
-            //     yAxisIndex: 2,
-            //     itemStyle: {
-            //         normal: {
-            //             color: '#00a32e',
-            //             lineStyle: {
-            //                 color: '#00a32e',
-            //                 width: 2,
-            //                 type: 'solid'
-            //             }
-            //         }
-            //     }
-            // },
-            // {
-            //     name: textEcharts.zhoongxian,
-            //     type: 'line',
-            //     data: calculateMA(2, extractedDrawData),
-            //     smooth: true,
-            //     symbol: 'none',
-            //     xAxisIndex: 2,
-            //     yAxisIndex: 2,
-            //     itemStyle: {
-            //         normal: {
-            //             color: '#de0000',
-            //             lineStyle: {
-            //                 color: '#de0000',
-            //                 width: 2,
-            //                 type: 'solid'
-            //             }
-            //         }
-            //     }
-            // },
-            // {
-            //     name: textEcharts.tianxian,
-            //     type: 'line',
-            //     data: calculateMA(3, extractedDrawData),
-            //     smooth: true,
-            //     symbol: 'none',
-            //     xAxisIndex: 2,
-            //     yAxisIndex: 2,
-            //     itemStyle: {
-            //         normal: {
-            //             color: '#ffb300',
-            //             lineStyle: {
-            //                 color: '#ffb300',
-            //                 width: 2,
-            //                 type: 'solid'
-            //             }
-            //         }
-            //     }
-            // },
-            // {
-            //     name: textEcharts.liuxian,
-            //     type: 'line',
-            //     data: calculateMA(4, extractedDrawData),
-            //     smooth: true,
-            //     symbol: 'none',
-            //     xAxisIndex: 2,
-            //     yAxisIndex: 2,
-            //     itemStyle: {
-            //         normal: {
-            //             color: '#00c8ff',
-            //             lineStyle: {
-            //                 color: '#00c8ff',
-            //                 width: 2,
-            //                 type: 'solid'
-            //             }
-            //         }
-            //     }
-            // },
-        ]
-    }
-    initChart()
-}
-
-// 组件挂载时初始化图表
-onMounted(() => {
-    // 调用图表初始化函数
-    fnShowEcharts4(extractedDrawData)
-})
-
-
-// 初始化图表
-const initChart = async () => {
-    if (!chartRef.value) return
-
-    try {
-        const chart = await chartRef.value.init(echarts)
-        chart.setOption(option)
-    } catch (error) {
-        console.error('图表初始化失败:', error)
-    }
-}
-</script>
diff --git a/pages/marketSituation/marketOverview.vue b/pages/marketSituation/marketOverview.vue
index ad25c7b..66fb8ba 100644
--- a/pages/marketSituation/marketOverview.vue
+++ b/pages/marketSituation/marketOverview.vue
@@ -5,7 +5,6 @@
     <!-- 可滚动内容区域 -->
     <scroll-view class="content_scroll" scroll-y="true" :style="{ top: contentTopPosition + 'px' }">
       <view class="content">
-        <button @click="goToChartExample">图表</button>
         <view class="map">
           <image src="/static/marketSituation-image/map.png" mode="widthFix"></image>
         </view>
@@ -52,13 +51,6 @@ const isWarnTextOverflow = ref(false); // warn文字是否溢出
 const pageIndex = ref(0);
 const scrollToView = ref("");
 
-// 跳转图表示例页面
-const goToChartExample = () => {
-  uni.navigateTo({
-    url: "/pages/marketSituation/chartExample",
-  });
-};
-
 // 计算属性：精准计算content区域的top值
 const contentTopPosition = computed(() => {
   const statusBarHeight = iSMT.value || 0;