diff --git a/close_fft_spectrum.pine b/close_fft_spectrum.pine
new file mode 100644
index 0000000..8607787
--- /dev/null
+++ b/close_fft_spectrum.pine
@@ -0,0 +1,46 @@
+//@version=6
+indicator("Close FFT Spectrum", overlay=true, max_lines_count=500, max_labels_count=500, max_boxes_count=500)
+
+int windowLen = input.int(64, "FFT窗口长度", minval=16, maxval=256, step=8)
+bool normalizeSpectrum = input.bool(true, "幅值归一化（除以窗口长度）")
+
+calcSpectrum(float[] samples, bool normalize) =>
+    int size = array.size(samples)
+    float[] mags = array.new_float()
+    if size == 0
+        mags
+    float norm = normalize ? float(size) : 1.0
+    int freqLimit = size / 2
+    if freqLimit < 1
+        freqLimit := 1
+    float twoPi = 2.0 * math.pi
+    for freq = 0 to freqLimit
+        float sumReal = 0.0
+        float sumImag = 0.0
+        for n = 0 to size - 1
+            float sample = array.get(samples, size - 1 - n)
+            float angle = twoPi * float(freq) * float(n) / float(size)
+            sumReal += sample * math.cos(angle)
+            sumImag -= sample * math.sin(angle)
+        float magnitude = math.sqrt(sumReal * sumReal + sumImag * sumImag) / norm
+        array.push(mags, magnitude)
+    mags
+
+var float[] priceBuffer = array.new_float()
+var int lastWindowSetting = na
+if na(lastWindowSetting) or lastWindowSetting != windowLen
+    lastWindowSetting := windowLen
+    array.clear(priceBuffer)
+
+if not na(close)
+    if array.size(priceBuffer) >= windowLen
+        array.shift(priceBuffer)
+    array.push(priceBuffer, close)
+
+bool ready = array.size(priceBuffer) == windowLen
+float[] spectrum = ready ? calcSpectrum(priceBuffer, normalizeSpectrum) : array.new_float()
+int freqCount = array.size(spectrum)
+
+float dcComponent = ready and freqCount > 0 ? array.get(spectrum, 0) : na
+plot(dcComponent, title="直流分量", color=color.orange, linewidth=2)
+
diff --git a/close_fft_spectrum_pane.pine b/close_fft_spectrum_pane.pine
new file mode 100644
index 0000000..e96075f
--- /dev/null
+++ b/close_fft_spectrum_pane.pine
@@ -0,0 +1,121 @@
+//@version=6
+indicator("Close FFT Spectrum Pane", overlay=false, max_lines_count=500, max_labels_count=500, max_boxes_count=500)
+
+int windowLen = input.int(64, "FFT窗口长度", minval=16, maxval=256, step=8)
+int freqIndexInput = input.int(1, "观察的频率序号 (0=直流)", minval=0, maxval=256)
+bool normalizeSpectrum = input.bool(true, "幅值归一化（除以窗口长度）")
+int smoothLen = input.int(1, "幅值平滑长度 (1 = 不平滑)", minval=1, maxval=20)
+bool showTable = input.bool(true, "显示主频表格")
+int topCount = input.int(5, "主频数量", minval=1, maxval=12)
+
+calcSpectrum(float[] samples, bool normalize) =>
+    int size = array.size(samples)
+    float[] mags = array.new_float()
+    if size == 0
+        mags
+    float norm = normalize ? float(size) : 1.0
+    int freqLimit = size / 2
+    if freqLimit < 1
+        freqLimit := 1
+    float twoPi = 2.0 * math.pi
+    for freq = 0 to freqLimit
+        float sumReal = 0.0
+        float sumImag = 0.0
+        for n = 0 to size - 1
+            float sample = array.get(samples, size - 1 - n)
+            float angle = twoPi * float(freq) * float(n) / float(size)
+            sumReal += sample * math.cos(angle)
+            sumImag -= sample * math.sin(angle)
+        float magnitude = math.sqrt(sumReal * sumReal + sumImag * sumImag) / norm
+        array.push(mags, magnitude)
+    mags
+
+getTopIndexes(float[] mags, int count) =>
+    int available = array.size(mags)
+    int limit = count < available ? count : available
+    int[] results = array.new_int()
+    if limit == 0
+        results
+    float[] scratch = array.copy(mags)
+    for rank = 0 to limit - 1
+        float bestVal = na
+        int bestIdx = -1
+        for i = 0 to array.size(scratch) - 1
+            float candidate = array.get(scratch, i)
+            if na(candidate)
+                continue
+            if na(bestVal) or candidate > bestVal
+                bestVal := candidate
+                bestIdx := i
+        if bestIdx == -1
+            break
+        array.push(results, bestIdx)
+        array.set(scratch, bestIdx, na)
+    results
+
+var float[] priceBuffer = array.new_float()
+var int lastWindowSetting = na
+if na(lastWindowSetting) or lastWindowSetting != windowLen
+    lastWindowSetting := windowLen
+    array.clear(priceBuffer)
+
+if not na(close)
+    if array.size(priceBuffer) >= windowLen
+        array.shift(priceBuffer)
+    array.push(priceBuffer, close)
+
+bool ready = array.size(priceBuffer) == windowLen
+float[] spectrum = ready ? calcSpectrum(priceBuffer, normalizeSpectrum) : array.new_float()
+int freqCount = array.size(spectrum)
+
+int clampedFreqIdx = freqCount > 0 ? math.min(freqIndexInput, freqCount - 1) : 0
+float paneMagnitude = ready and freqCount > 0 ? array.get(spectrum, clampedFreqIdx) : na
+float panePlotted = smoothLen > 1 ? ta.sma(paneMagnitude, smoothLen) : paneMagnitude
+plot(panePlotted, title="频率幅值", color=color.blue, linewidth=2)
+
+var table spectrumTable = na
+var int lastTableRows = na
+if showTable
+    if na(spectrumTable) or na(lastTableRows) or lastTableRows != topCount + 1
+        if not na(spectrumTable)
+            table.delete(spectrumTable)
+        spectrumTable := table.new(position.top_right, 3, topCount + 1, bgcolor=color.new(color.black, 80), frame_color=color.new(color.gray, 60))
+        lastTableRows := topCount + 1
+else if not na(spectrumTable)
+    table.delete(spectrumTable)
+    spectrumTable := na
+    lastTableRows := na
+
+if showTable and not na(spectrumTable)
+    color headerColor = color.new(color.white, 0)
+    color valueColor = color.new(color.aqua, 0)
+    color periodColor = color.new(color.silver, 0)
+    table.cell(spectrumTable, 0, 0, "频率k", text_color=headerColor, text_halign=text.align_center)
+    table.cell(spectrumTable, 1, 0, "幅值", text_color=headerColor, text_halign=text.align_center)
+    table.cell(spectrumTable, 2, 0, "周期(Bar)", text_color=headerColor, text_halign=text.align_center)
+    if ready and freqCount > 0
+        int[] leaders = getTopIndexes(spectrum, topCount)
+        int leaderCount = array.size(leaders)
+        for row = 0 to topCount - 1
+            int tableRow = row + 1
+            if row < leaderCount
+                int freqIdx = array.get(leaders, row)
+                float amp = array.get(spectrum, freqIdx)
+                float period = freqIdx == 0 ? na : float(windowLen) / float(freqIdx)
+                float rounded = na(period) ? na : math.round(period * 100.0) / 100.0
+                string freqText = str.tostring(freqIdx)
+                string ampText = str.tostring(amp, format.mintick)
+                string periodText = na(rounded) ? "∞" : str.tostring(rounded, format.mintick)
+                table.cell(spectrumTable, 0, tableRow, freqText, text_color=headerColor)
+                table.cell(spectrumTable, 1, tableRow, ampText, text_color=valueColor)
+                table.cell(spectrumTable, 2, tableRow, periodText, text_color=periodColor)
+            else
+                table.cell(spectrumTable, 0, tableRow, "-", text_color=headerColor)
+                table.cell(spectrumTable, 1, tableRow, "-", text_color=valueColor)
+                table.cell(spectrumTable, 2, tableRow, "-", text_color=periodColor)
+    else
+        for row = 1 to topCount
+            table.cell(spectrumTable, 0, row, "-", text_color=headerColor)
+            table.cell(spectrumTable, 1, row, "-", text_color=valueColor)
+            table.cell(spectrumTable, 2, row, "-", text_color=periodColor)
+
diff --git a/支撑压力位_优化版.pine b/支撑压力位_优化版.pine
index acc7710..ad2603a 100644
--- a/支撑压力位_优化版.pine
+++ b/支撑压力位_优化版.pine
@@ -40,6 +40,19 @@ weightVolume       = input.float(20, "成交量权重 %", minval=0, maxval=100,
 weightRecency      = input.float(10, "时效性权重 %", minval=0, maxval=100, group=strengthGroup)
 reactionBars       = input.int(5, "反应检测K线数", minval=1, maxval=20, group=strengthGroup, tooltip="检测触碰后多少根K线的价格反应")
 
+// EMA设置
+emaGroup = "EMA线"
+showEMA            = input.bool(true, "显示EMA", group=emaGroup)
+ema6               = input.int(6, "EMA周期1", minval=1, group=emaGroup)
+ema12              = input.int(12, "EMA周期2", minval=1, group=emaGroup)
+ema24              = input.int(24, "EMA周期3", minval=1, group=emaGroup)
+ema52              = input.int(52, "EMA周期4", minval=1, group=emaGroup)
+emaWidth           = input.int(2, "EMA线宽", minval=1, maxval=5, group=emaGroup)
+color6             = input.color(#FF6B9D, "EMA6色", group=emaGroup)
+color12            = input.color(#C44569, "EMA12色", group=emaGroup)
+color24            = input.color(#FFA502, "EMA24色", group=emaGroup)
+color52            = input.color(#26A69A, "EMA52色", group=emaGroup)
+
 // 显示设置
 displayGroup = "显示设置"
 maxVisibleLevels   = input.int(12, "最多显示水平数", minval=1, maxval=50, group=displayGroup)
@@ -87,6 +100,12 @@ atrValue = ta.atr(atrLength)
 clusterTolerance = atrValue * clusterTolATR
 avgVolume = ta.sma(volume, 50)
 
+// 计算EMA线
+ema6Value = showEMA ? ta.ema(close, ema6) : na
+ema12Value = showEMA ? ta.ema(close, ema12) : na
+ema24Value = showEMA ? ta.ema(close, ema24) : na
+ema52Value = showEMA ? ta.ema(close, ema52) : na
+
 // ========== 辅助函数 ========== //
 
 // 标签大小转换
@@ -460,6 +479,13 @@ if not na(pivotLow)
 f_cleanup_old_levels()
 f_draw_levels()
 
+// 绘制EMA线
+plot(showEMA ? ema6Value : na, "EMA6", color=color6, linewidth=emaWidth, style=plot.style_line)
+plot(showEMA ? ema12Value : na, "EMA12", color=color12, linewidth=emaWidth, style=plot.style_line)
+plot(showEMA ? ema24Value : na, "EMA24", color=color24, linewidth=emaWidth, style=plot.style_line)
+plot(showEMA ? ema52Value : na, "EMA52", color=color52, linewidth=emaWidth, style=plot.style_line)
+
+
 // 计算最近的支撑和压力
 var float nearestSupport = na
 var float nearestResistance = na
diff --git a/裸K趋势反转识别.pine b/裸K趋势反转识别.pine
new file mode 100644
index 0000000..6155d86
--- /dev/null
+++ b/裸K趋势反转识别.pine
@@ -0,0 +1,213 @@
+//@version=6
+indicator(title="裸K趋势反转识别", shorttitle="Naked K Reversal", overlay=true, max_labels_count=500)
+
+// ========================= 输入参数 =========================
+// 基础设置
+showLabels = input.bool(true, "显示信号标记")
+showBackground = input.bool(true, "显示背景着色")
+showAlerts = input.bool(true, "启用告警")
+
+// 裸K形态参数
+pinbarThreshold = input.float(0.6, "PinBar阈值(0.6-0.8)", minval=0.3, maxval=0.9, step=0.05)
+insideBarThreshold = input.float(0.8, "内包线阈值(0.7-0.9)", minval=0.5, maxval=0.95, step=0.05)
+engulfingThreshold = input.float(0.5, "吞没线阈值(0.4-0.7)", minval=0.3, maxval=0.8, step=0.05)
+
+// 趋势确认参数
+trendConfirmationBars = input.int(3, "趋势确认根数", minval=1, maxval=10)
+reversalConfirmationBars = input.int(2, "反转确认根数", minval=1, maxval=5)
+
+// 成交量确认
+useVolumeConfirmation = input.bool(true, "使用成交量确认")
+volumeMultiplier = input.float(1.2, "成交量倍数", minval=1.0, maxval=3.0, step=0.1)
+
+// 灵敏度
+sensitivity = input.float(1.0, "灵敏度", minval=0.5, maxval=2.0, step=0.1)
+
+// 颜色设置
+colBullish = color.new(color.green, 80)
+colBearish = color.new(color.red, 80)
+colNeutral = color.new(color.gray, 85)
+
+// ========================= 裸K形态识别 =========================
+// 1. PinBar (锤子线/上吊线)
+barRange = high - low
+bodyRange = math.abs(close - open)
+upperShadow = high - math.max(open, close)
+lowerShadow = math.min(open, close) - low
+
+isPinBar = barRange > 0 and bodyRange / barRange < pinbarThreshold
+isBullishPinBar = isPinBar and lowerShadow > upperShadow * 2
+isBearishPinBar = isPinBar and upperShadow > lowerShadow * 2
+
+// 2. 内包线 (Inside Bar)
+isInsideBar = high <= high[1] and low >= low[1]
+insideBarStrength = (high[1] - low[1]) > 0 ? (high - low) / (high[1] - low[1]) : 1
+isStrongInsideBar = isInsideBar and insideBarStrength < insideBarThreshold
+
+// 3. 吞没线 (Engulfing)
+isBullishEngulfing = close > open and close[1] < open[1] and 
+                   close > open[1] and open < close[1] and
+                   bodyRange > bodyRange[1] * engulfingThreshold
+
+isBearishEngulfing = close < open and close[1] > open[1] and 
+                   close < open[1] and open > close[1] and
+                   bodyRange > bodyRange[1] * engulfingThreshold
+
+// 4. 孕线 (Harami)
+isBullishHarami = close > open and close[1] < open[1] and 
+                 high < high[1] and low > low[1] and
+                 bodyRange < bodyRange[1] * 0.7
+
+isBearishHarami = close < open and close[1] > open[1] and 
+                 high < high[1] and low > low[1] and
+                 bodyRange < bodyRange[1] * 0.7
+
+// 5. 乌云盖顶 (Dark Cloud Cover)
+isDarkCloud = close < open and close[1] > open[1] and
+             open > close[1] and close < (open[1] + close[1]) / 2
+
+// 6. 刺透形态 (Piercing Pattern)
+isPiercing = close > open and close[1] < open[1] and 
+             open < low[1] and close > (open[1] + close[1]) / 2
+
+// ========================= 趋势判断 =========================
+// 简单移动平均线趋势判断
+emaFast = ta.ema(close, 10)
+emaSlow = ta.ema(close, 20)
+
+isUptrend = emaFast > emaSlow and close > emaSlow
+isDowntrend = emaFast < emaSlow and close < emaSlow
+
+// 趋势强度
+var int uptrendCount = 0
+var int downtrendCount = 0
+
+uptrendCount := isUptrend ? uptrendCount + 1 : 0
+downtrendCount := isDowntrend ? downtrendCount + 1 : 0
+
+uptrendConfirmed = uptrendCount >= trendConfirmationBars
+downtrendConfirmed = downtrendCount >= trendConfirmationBars
+
+// ========================= 成交量确认 =========================
+volumeMa = ta.sma(volume, 20)
+volumeConfirmed = not useVolumeConfirmation or volume > volumeMa * volumeMultiplier
+
+// ========================= 反转信号生成 =========================
+// 看涨反转信号
+bullishReversalSignal = (isBullishPinBar or isBullishEngulfing or isBullishHarami or isPiercing) and 
+                       downtrendConfirmed and volumeConfirmed
+
+// 看跌反转信号
+bearishReversalSignal = (isBearishPinBar or isBearishEngulfing or isBearishHarami or isDarkCloud) and 
+                       uptrendConfirmed and volumeConfirmed
+
+// 反转确认计数
+var int bullishReversalCount = 0
+var int bearishReversalCount = 0
+
+bullishReversalCount := bullishReversalSignal ? bullishReversalCount + 1 : 0
+bearishReversalCount := bearishReversalSignal ? bearishReversalCount + 1 : 0
+
+bullishReversalConfirmed = bullishReversalCount >= reversalConfirmationBars
+bearishReversalConfirmed = bearishReversalCount >= reversalConfirmationBars
+
+// ========================= 状态机 =========================
+// 0: 无趋势, 1: 上涨趋势, -1: 下跌趋势, 2: 反转中
+var int marketState = 0
+prevState = nz(marketState[1], 0)
+
+// 状态转换逻辑
+int newState = prevState
+
+if prevState == 0  // 无趋势状态
+    if uptrendConfirmed
+        newState := 1
+    else if downtrendConfirmed
+        newState := -1
+
+else if prevState == 1  // 上涨趋势
+    if bearishReversalConfirmed
+        newState := -1
+    else if not uptrendConfirmed
+        newState := 0
+
+else if prevState == -1  // 下跌趋势
+    if bullishReversalConfirmed
+        newState := 1
+    else if not downtrendConfirmed
+        newState := 0
+
+marketState := barstate.isconfirmed ? newState : nz(marketState[1], prevState)
+
+// ========================= 可视化 =========================
+// 背景着色
+bgColor = marketState == 1 ? colBullish : marketState == -1 ? colBearish : colNeutral
+bgcolor(showBackground ? bgColor : na, title="市场状态背景")
+
+// 裸K形态标记
+plotshape(showLabels and isBullishPinBar, title="看涨PinBar", style=shape.triangleup, 
+         location=location.belowbar, color=color.green, size=size.small)
+plotshape(showLabels and isBearishPinBar, title="看跌PinBar", style=shape.triangledown, 
+         location=location.abovebar, color=color.red, size=size.small)
+
+plotshape(showLabels and isBullishEngulfing, title="看涨吞没", style=shape.circle, 
+         location=location.belowbar, color=color.lime, size=size.small)
+plotshape(showLabels and isBearishEngulfing, title="看跌吞没", style=shape.circle, 
+         location=location.abovebar, color=color.maroon, size=size.small)
+
+plotshape(showLabels and isStrongInsideBar, title="内包线", style=shape.diamond, 
+         location=location.top, color=color.orange, size=size.small)
+
+// 反转信号标记
+plotshape(showLabels and bullishReversalConfirmed, title="看涨反转确认", 
+         style=shape.labelup, location=location.belowbar, color=color.green, 
+         text="↑", textcolor=color.white, size=size.normal)
+
+plotshape(showLabels and bearishReversalConfirmed, title="看跌反转确认", 
+         style=shape.labeldown, location=location.abovebar, color=color.red, 
+         text="↓", textcolor=color.white, size=size.normal)
+
+// 趋势线
+plot(emaFast, color=color.new(color.blue, 0), linewidth=1, title="EMA快线")
+plot(emaSlow, color=color.new(color.orange, 0), linewidth=2, title="EMA慢线")
+
+// ========================= 告警系统 =========================
+alertcondition(showAlerts and bullishReversalConfirmed, title="看涨反转信号", 
+              message="裸K看涨反转信号确认")
+alertcondition(showAlerts and bearishReversalConfirmed, title="看跌反转信号", 
+              message="裸K看跌反转信号确认")
+
+// ========================= 信息显示 =========================
+// 在图表上显示当前状态
+var table infoTable = table.new(position.top_right, 2, 6, bgcolor=color.new(color.gray, 90), 
+                               border_width=1)
+
+if barstate.islast
+    table.cell(infoTable, 0, 0, "裸K趋势反转识别", text_color=color.white, 
+              bgcolor=color.new(color.blue, 70))
+    table.cell(infoTable, 1, 0, "状态", text_color=color.white, 
+              bgcolor=color.new(color.blue, 70))
+    
+    table.cell(infoTable, 0, 1, "市场状态")
+    table.cell(infoTable, 1, 1, marketState == 1 ? "上涨趋势" : marketState == -1 ? "下跌趋势" : "震荡", 
+              text_color=marketState == 1 ? color.green : marketState == -1 ? color.red : color.gray)
+    
+    table.cell(infoTable, 0, 2, "趋势强度")
+    table.cell(infoTable, 1, 2, str.tostring(math.max(uptrendCount, downtrendCount)))
+    
+    table.cell(infoTable, 0, 3, "看涨信号")
+    table.cell(infoTable, 1, 3, bullishReversalConfirmed ? "确认" : "等待", 
+              text_color=bullishReversalConfirmed ? color.green : color.gray)
+    
+    table.cell(infoTable, 0, 4, "看跌信号")
+    table.cell(infoTable, 1, 4, bearishReversalConfirmed ? "确认" : "等待", 
+              text_color=bearishReversalConfirmed ? color.red : color.gray)
+    
+    table.cell(infoTable, 0, 5, "成交量确认")
+    table.cell(infoTable, 1, 5, volumeConfirmed ? "是" : "否", 
+              text_color=volumeConfirmed ? color.green : color.orange)
+
+// ========================= 使用说明 =========================
+// 本脚本专注于裸K形态识别趋势反转信号
+// 主要识别形态：PinBar、吞没线、内包线、孕线、乌云盖顶、刺透形态
+// 结合趋势确认和成交量验证，提高信号可靠性