diff --git a/market/data.go b/market/data.go
index b69281dc..f3f1c586 100644
--- a/market/data.go
+++ b/market/data.go
@@ -227,6 +227,7 @@ func calculateIntradaySeries(klines []Kline) *IntradayData {
 		MACDValues:  make([]float64, 0, 10),
 		RSI7Values:  make([]float64, 0, 10),
 		RSI14Values: make([]float64, 0, 10),
+		Volume:      make([]float64, 0, 10),
 	}
 
 	// 获取最近10个数据点
@@ -237,6 +238,7 @@ func calculateIntradaySeries(klines []Kline) *IntradayData {
 
 	for i := start; i < len(klines); i++ {
 		data.MidPrices = append(data.MidPrices, klines[i].Close)
+		data.Volume = append(data.Volume, klines[i].Volume)
 
 		// 计算每个点的EMA20
 		if i >= 19 {
@@ -261,6 +263,9 @@ func calculateIntradaySeries(klines []Kline) *IntradayData {
 		}
 	}
 
+	// 计算3m ATR14
+	data.ATR14 = calculateATR(klines, 14)
+
 	return data
 }
 
@@ -440,6 +445,12 @@ func Format(data *Data) string {
 		if len(data.IntradaySeries.RSI14Values) > 0 {
 			sb.WriteString(fmt.Sprintf("RSI indicators (14‑Period): %s\n\n", formatFloatSlice(data.IntradaySeries.RSI14Values)))
 		}
+
+		if len(data.IntradaySeries.Volume) > 0 {
+			sb.WriteString(fmt.Sprintf("Volume: %s\n\n", formatFloatSlice(data.IntradaySeries.Volume)))
+		}
+
+		sb.WriteString(fmt.Sprintf("3m ATR (14‑period): %.3f\n\n", data.IntradaySeries.ATR14))
 	}
 
 	if data.LongerTermContext != nil {
diff --git a/market/data_test.go b/market/data_test.go
new file mode 100644
index 00000000..b0b34f0f
--- /dev/null
+++ b/market/data_test.go
@@ -0,0 +1,349 @@
+package market
+
+import (
+	"math"
+	"testing"
+)
+
+// generateTestKlines 生成测试用的 K线数据
+func generateTestKlines(count int) []Kline {
+	klines := make([]Kline, count)
+	for i := 0; i < count; i++ {
+		// 生成模拟的价格数据，有一定的波动
+		basePrice := 100.0
+		variance := float64(i%10) * 0.5
+		open := basePrice + variance
+		high := open + 1.0
+		low := open - 0.5
+		close := open + 0.3
+		volume := 1000.0 + float64(i*100)
+
+		klines[i] = Kline{
+			OpenTime:  int64(i * 180000), // 3分钟间隔
+			Open:      open,
+			High:      high,
+			Low:       low,
+			Close:     close,
+			Volume:    volume,
+			CloseTime: int64((i+1)*180000 - 1),
+		}
+	}
+	return klines
+}
+
+// TestCalculateIntradaySeries_VolumeCollection 测试 Volume 数据收集
+func TestCalculateIntradaySeries_VolumeCollection(t *testing.T) {
+	tests := []struct {
+		name           string
+		klineCount     int
+		expectedVolLen int
+	}{
+		{
+			name:           "正常情况 - 20个K线",
+			klineCount:     20,
+			expectedVolLen: 10, // 应该收集最近10个
+		},
+		{
+			name:           "刚好10个K线",
+			klineCount:     10,
+			expectedVolLen: 10,
+		},
+		{
+			name:           "少于10个K线",
+			klineCount:     5,
+			expectedVolLen: 5, // 应该返回所有5个
+		},
+		{
+			name:           "超过10个K线",
+			klineCount:     30,
+			expectedVolLen: 10, // 应该只返回最近10个
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			klines := generateTestKlines(tt.klineCount)
+			data := calculateIntradaySeries(klines)
+
+			if data == nil {
+				t.Fatal("calculateIntradaySeries returned nil")
+			}
+
+			if len(data.Volume) != tt.expectedVolLen {
+				t.Errorf("Volume length = %d, want %d", len(data.Volume), tt.expectedVolLen)
+			}
+
+			// 验证 Volume 数据正确性
+			if len(data.Volume) > 0 {
+				// 计算期望的起始索引
+				start := tt.klineCount - 10
+				if start < 0 {
+					start = 0
+				}
+
+				// 验证第一个 Volume 值
+				expectedFirstVolume := klines[start].Volume
+				if data.Volume[0] != expectedFirstVolume {
+					t.Errorf("First volume = %.2f, want %.2f", data.Volume[0], expectedFirstVolume)
+				}
+
+				// 验证最后一个 Volume 值
+				expectedLastVolume := klines[tt.klineCount-1].Volume
+				lastVolume := data.Volume[len(data.Volume)-1]
+				if lastVolume != expectedLastVolume {
+					t.Errorf("Last volume = %.2f, want %.2f", lastVolume, expectedLastVolume)
+				}
+			}
+		})
+	}
+}
+
+// TestCalculateIntradaySeries_VolumeValues 测试 Volume 值的正确性
+func TestCalculateIntradaySeries_VolumeValues(t *testing.T) {
+	klines := []Kline{
+		{Close: 100.0, Volume: 1000.0, High: 101.0, Low: 99.0, Open: 100.0},
+		{Close: 101.0, Volume: 1100.0, High: 102.0, Low: 100.0, Open: 101.0},
+		{Close: 102.0, Volume: 1200.0, High: 103.0, Low: 101.0, Open: 102.0},
+		{Close: 103.0, Volume: 1300.0, High: 104.0, Low: 102.0, Open: 103.0},
+		{Close: 104.0, Volume: 1400.0, High: 105.0, Low: 103.0, Open: 104.0},
+		{Close: 105.0, Volume: 1500.0, High: 106.0, Low: 104.0, Open: 105.0},
+		{Close: 106.0, Volume: 1600.0, High: 107.0, Low: 105.0, Open: 106.0},
+		{Close: 107.0, Volume: 1700.0, High: 108.0, Low: 106.0, Open: 107.0},
+		{Close: 108.0, Volume: 1800.0, High: 109.0, Low: 107.0, Open: 108.0},
+		{Close: 109.0, Volume: 1900.0, High: 110.0, Low: 108.0, Open: 109.0},
+	}
+
+	data := calculateIntradaySeries(klines)
+
+	expectedVolumes := []float64{1000.0, 1100.0, 1200.0, 1300.0, 1400.0, 1500.0, 1600.0, 1700.0, 1800.0, 1900.0}
+
+	if len(data.Volume) != len(expectedVolumes) {
+		t.Fatalf("Volume length = %d, want %d", len(data.Volume), len(expectedVolumes))
+	}
+
+	for i, expected := range expectedVolumes {
+		if data.Volume[i] != expected {
+			t.Errorf("Volume[%d] = %.2f, want %.2f", i, data.Volume[i], expected)
+		}
+	}
+}
+
+// TestCalculateIntradaySeries_ATR14 测试 ATR14 计算
+func TestCalculateIntradaySeries_ATR14(t *testing.T) {
+	tests := []struct {
+		name         string
+		klineCount   int
+		expectZero   bool
+		expectNonZero bool
+	}{
+		{
+			name:         "足够数据 - 20个K线",
+			klineCount:   20,
+			expectNonZero: true,
+		},
+		{
+			name:         "刚好15个K线（ATR14需要至少15个）",
+			klineCount:   15,
+			expectNonZero: true,
+		},
+		{
+			name:       "数据不足 - 14个K线",
+			klineCount: 14,
+			expectZero: true,
+		},
+		{
+			name:       "数据不足 - 10个K线",
+			klineCount: 10,
+			expectZero: true,
+		},
+		{
+			name:       "数据不足 - 5个K线",
+			klineCount: 5,
+			expectZero: true,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			klines := generateTestKlines(tt.klineCount)
+			data := calculateIntradaySeries(klines)
+
+			if data == nil {
+				t.Fatal("calculateIntradaySeries returned nil")
+			}
+
+			if tt.expectZero && data.ATR14 != 0 {
+				t.Errorf("ATR14 = %.3f, expected 0 (insufficient data)", data.ATR14)
+			}
+
+			if tt.expectNonZero && data.ATR14 <= 0 {
+				t.Errorf("ATR14 = %.3f, expected > 0", data.ATR14)
+			}
+		})
+	}
+}
+
+// TestCalculateATR 测试 ATR 计算函数
+func TestCalculateATR(t *testing.T) {
+	tests := []struct {
+		name       string
+		klines     []Kline
+		period     int
+		expectZero bool
+	}{
+		{
+			name: "正常计算 - 足够数据",
+			klines: []Kline{
+				{High: 102.0, Low: 100.0, Close: 101.0},
+				{High: 103.0, Low: 101.0, Close: 102.0},
+				{High: 104.0, Low: 102.0, Close: 103.0},
+				{High: 105.0, Low: 103.0, Close: 104.0},
+				{High: 106.0, Low: 104.0, Close: 105.0},
+				{High: 107.0, Low: 105.0, Close: 106.0},
+				{High: 108.0, Low: 106.0, Close: 107.0},
+				{High: 109.0, Low: 107.0, Close: 108.0},
+				{High: 110.0, Low: 108.0, Close: 109.0},
+				{High: 111.0, Low: 109.0, Close: 110.0},
+				{High: 112.0, Low: 110.0, Close: 111.0},
+				{High: 113.0, Low: 111.0, Close: 112.0},
+				{High: 114.0, Low: 112.0, Close: 113.0},
+				{High: 115.0, Low: 113.0, Close: 114.0},
+				{High: 116.0, Low: 114.0, Close: 115.0},
+			},
+			period:     14,
+			expectZero: false,
+		},
+		{
+			name: "数据不足 - 等于period",
+			klines: []Kline{
+				{High: 102.0, Low: 100.0, Close: 101.0},
+				{High: 103.0, Low: 101.0, Close: 102.0},
+			},
+			period:     2,
+			expectZero: true,
+		},
+		{
+			name: "数据不足 - 少于period",
+			klines: []Kline{
+				{High: 102.0, Low: 100.0, Close: 101.0},
+			},
+			period:     14,
+			expectZero: true,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			atr := calculateATR(tt.klines, tt.period)
+
+			if tt.expectZero {
+				if atr != 0 {
+					t.Errorf("calculateATR() = %.3f, expected 0 (insufficient data)", atr)
+				}
+			} else {
+				if atr <= 0 {
+					t.Errorf("calculateATR() = %.3f, expected > 0", atr)
+				}
+			}
+		})
+	}
+}
+
+// TestCalculateATR_TrueRange 测试 ATR 的 True Range 计算正确性
+func TestCalculateATR_TrueRange(t *testing.T) {
+	// 创建一个简单的测试用例，手动计算期望的 ATR
+	klines := []Kline{
+		{High: 50.0, Low: 48.0, Close: 49.0},  // TR = 2.0
+		{High: 51.0, Low: 49.0, Close: 50.0},  // TR = max(2.0, 2.0, 1.0) = 2.0
+		{High: 52.0, Low: 50.0, Close: 51.0},  // TR = max(2.0, 2.0, 1.0) = 2.0
+		{High: 53.0, Low: 51.0, Close: 52.0},  // TR = 2.0
+		{High: 54.0, Low: 52.0, Close: 53.0},  // TR = 2.0
+	}
+
+	atr := calculateATR(klines, 3)
+
+	// 期望的计算：
+	// TR[1] = max(51-49, |51-49|, |49-49|) = 2.0
+	// TR[2] = max(52-50, |52-50|, |50-50|) = 2.0
+	// TR[3] = max(53-51, |53-51|, |51-51|) = 2.0
+	// 初始 ATR = (2.0 + 2.0 + 2.0) / 3 = 2.0
+	// TR[4] = max(54-52, |54-52|, |52-52|) = 2.0
+	// 平滑 ATR = (2.0*2 + 2.0) / 3 = 2.0
+
+	expectedATR := 2.0
+	tolerance := 0.01 // 允许小的浮点误差
+
+	if math.Abs(atr-expectedATR) > tolerance {
+		t.Errorf("calculateATR() = %.3f, want approximately %.3f", atr, expectedATR)
+	}
+}
+
+// TestCalculateIntradaySeries_ConsistencyWithOtherIndicators 测试 Volume 和其他指标的一致性
+func TestCalculateIntradaySeries_ConsistencyWithOtherIndicators(t *testing.T) {
+	klines := generateTestKlines(30)
+	data := calculateIntradaySeries(klines)
+
+	// 所有数组应该存在
+	if data.MidPrices == nil {
+		t.Error("MidPrices should not be nil")
+	}
+	if data.Volume == nil {
+		t.Error("Volume should not be nil")
+	}
+
+	// MidPrices 和 Volume 应该有相同的长度（都是最近10个）
+	if len(data.MidPrices) != len(data.Volume) {
+		t.Errorf("MidPrices length (%d) should equal Volume length (%d)",
+			len(data.MidPrices), len(data.Volume))
+	}
+
+	// 所有 Volume 值应该大于 0
+	for i, vol := range data.Volume {
+		if vol <= 0 {
+			t.Errorf("Volume[%d] = %.2f, should be > 0", i, vol)
+		}
+	}
+}
+
+// TestCalculateIntradaySeries_EmptyKlines 测试空 K线数据
+func TestCalculateIntradaySeries_EmptyKlines(t *testing.T) {
+	klines := []Kline{}
+	data := calculateIntradaySeries(klines)
+
+	if data == nil {
+		t.Fatal("calculateIntradaySeries should not return nil for empty klines")
+	}
+
+	// 所有切片应该为空
+	if len(data.MidPrices) != 0 {
+		t.Errorf("MidPrices length = %d, want 0", len(data.MidPrices))
+	}
+	if len(data.Volume) != 0 {
+		t.Errorf("Volume length = %d, want 0", len(data.Volume))
+	}
+
+	// ATR14 应该为 0（数据不足）
+	if data.ATR14 != 0 {
+		t.Errorf("ATR14 = %.3f, want 0", data.ATR14)
+	}
+}
+
+// TestCalculateIntradaySeries_VolumePrecision 测试 Volume 精度保持
+func TestCalculateIntradaySeries_VolumePrecision(t *testing.T) {
+	klines := []Kline{
+		{Close: 100.0, Volume: 1234.5678, High: 101.0, Low: 99.0},
+		{Close: 101.0, Volume: 9876.5432, High: 102.0, Low: 100.0},
+		{Close: 102.0, Volume: 5555.1111, High: 103.0, Low: 101.0},
+	}
+
+	data := calculateIntradaySeries(klines)
+
+	expectedVolumes := []float64{1234.5678, 9876.5432, 5555.1111}
+
+	for i, expected := range expectedVolumes {
+		if data.Volume[i] != expected {
+			t.Errorf("Volume[%d] = %.4f, want %.4f (precision not preserved)",
+				i, data.Volume[i], expected)
+		}
+	}
+}
diff --git a/market/types.go b/market/types.go
index 82f44415..3e4fd256 100644
--- a/market/types.go
+++ b/market/types.go
@@ -30,6 +30,8 @@ type IntradayData struct {
 	MACDValues  []float64
 	RSI7Values  []float64
 	RSI14Values []float64
+	Volume      []float64
+	ATR14       float64
 }
 
 // LongerTermData 长期数据(4小时时间框架)