多空动能仪表盘（Pine v6）

//@version=6
indicator("综合评分指标", shorttitle="综合评分", overlay=false)

// ========== 可调参数 ==========
rsiPeriod = input.int(14, title="RSI 周期", minval=1)
macdFast = input.int(12, title="MACD 快线周期", minval=1)
macdSlow = input.int(26, title="MACD 慢线周期", minval=1)
macdSignal = input.int(9, title="MACD 信号线周期", minval=1)
adxPeriod = input.int(14, title="ADX 周期", minval=1)
adxThreshold = input.int(20, title="ADX 趋势阈值", minval=1)
emaFast = input.int(50, title="EMA 快线周期", minval=1)
emaSlow = input.int(200, title="EMA 慢线周期", minval=1)

// 权重参数（推荐总和为 1.0，但代码会自动归一化）
weightRSI = input.float(0.25, title="RSI 权重", minval=0.0, step=0.05)
weightMACD = input.float(0.25, title="MACD 权重", minval=0.0, step=0.05)
weightADX = input.float(0.25, title="ADX 权重", minval=0.0, step=0.05)
weightEMA = input.float(0.25, title="EMA 权重", minval=0.0, step=0.05)

// ========== 计算四个维度 ==========

// 1. RSI 维度：相对 50 的偏离，范围 -100 到 +100
rsiValue = ta.rsi(close, rsiPeriod)
rsiScore = (rsiValue - 50) * 2.0  // RSI=0 -> -100, RSI=100 -> +100, RSI=50 -> 0

// 2. MACD 维度：柱状体正负，简化为 -100 / 0 / +100
[macdLine, signalLine, histLine] = ta.macd(close, macdFast, macdSlow, macdSignal)
macdScore = histLine > 0 ? 100.0 : (histLine < 0 ? -100.0 : 0.0)

// 3. ADX 维度：趋势强度，大于阈值为 +100，小于为 -100
adxValue = ta.adx(adxPeriod)
adxScore = adxValue >= adxThreshold ? 100.0 : -100.0

// 4. EMA 维度：快线在慢线上方为 +100，下方为 -100
emaFastValue = ta.ema(close, emaFast)
emaSlowValue = ta.ema(close, emaSlow)
emaScore = emaFastValue > emaSlowValue ? 100.0 : (emaFastValue < emaSlowValue ? -100.0 : 0.0)

// ========== 加权合成总分 ==========
// 计算权重总和，防止除零
weightSum = weightRSI + weightMACD + weightADX + weightEMA
weightSumSafe = weightSum > 0 ? weightSum : 1.0  // 如果用户把所有权重都设为 0，用 1.0 避免除零

// 加权平均，保持 -100 到 +100 范围
compositeScore = (rsiScore * weightRSI + macdScore * weightMACD + adxScore * weightADX + emaScore * weightEMA) / weightSumSafe

// ========== 绘制柱状图 ==========
// 根据总分着色：>30 绿色、<-30 红色、中间灰色
barColor = compositeScore > 30 ? color.new(color.green, 0) : (compositeScore < -30 ? color.new(color.red, 0) : color.new(color.gray, 30))
plot(compositeScore, title="综合评分", style=plot.style_histogram, color=barColor, linewidth=3)

// ========== 参考线 ==========
hline(30, title="多头区 +30", color=color.new(color.green, 70), linestyle=hline.style_dashed)
hline(0, title="中性 0", color=color.new(color.gray, 50), linestyle=hline.style_solid)
hline(-30, title="空头区 -30", color=color.new(color.red, 70), linestyle=hline.style_dashed)

// ========== 右上角 table 显示各维度得分 ==========
var table scoreTable = table.new(position.top_right, 2, 5, bgcolor=color.new(color.black, 85), border_width=1, border_color=color.new(color.gray, 50))

if barstate.islast
    // 表头
    table.cell(scoreTable, 0, 0, "维度", text_color=color.white, text_size=size.small, bgcolor=color.new(color.blue, 70))
    table.cell(scoreTable, 1, 0, "得分", text_color=color.white, text_size=size.small, bgcolor=color.new(color.blue, 70))
    
    // RSI 行
    table.cell(scoreTable, 0, 1, "RSI", text_color=color.white, text_size=size.small)
    table.cell(scoreTable, 1, 1, str.tostring(math.round(rsiScore, 1)), text_color=rsiScore > 0 ? color.lime : color.red, text_size=size.small)
    
    // MACD 行
    table.cell(scoreTable, 0, 2, "MACD", text_color=color.white, text_size=size.small)
    table.cell(scoreTable, 1, 2, str.tostring(math.round(macdScore, 1)), text_color=macdScore > 0 ? color.lime : color.red, text_size=size.small)
    
    // ADX 行
    table.cell(scoreTable, 0, 3, "ADX", text_color=color.white, text_size=size.small)
    table.cell(scoreTable, 1, 3, str.tostring(math.round(adxScore, 1)), text_color=adxScore > 0 ? color.lime : color.red, text_size=size.small)
    
    // EMA 行
    table.cell(scoreTable, 0, 4, "EMA", text_color=color.white, text_size=size.small)
    table.cell(scoreTable, 1, 4, str.tostring(math.round(emaScore, 1)), text_color=emaScore > 0 ? color.lime : color.red, text_size=size.small)