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ICT Asian & London Range + First Presented FVGIndicator: ICT Sessions + First Presented FVG What it does: This tool automates the markup of key ICT (Inner Circle Trader) timeframes and entry signals. It allows you to trade on higher timeframes (like the 5m or 15m) while the script automatically "looks inside" the 1-minute chart to find specific setups for you. Key Features: Session Ranges (Asian & London) Automatically highlights the Asian Session (8 PM - Midnight NY) and London Open (2 AM - 5 AM NY). Draws a shaded box for the session's High and Low. New: Extends the High and Low lines to 4:00 PM NY (end of the trading day) so you can use them as liquidity targets. The "First Presented" FVG (Sniper Logic) It detects the very first Fair Value Gap (FVG) that forms on the 1-minute chart immediately after a session starts. It draws this 1-minute gap on your current chart, regardless of what timeframe you are viewing. The FVG box automatically extends to the end of the trading day (4 PM NY), showing you where price might return to "mitigate" or react later in the day.
Индикатор Pine Script®
от DropkingICT
SPX EMAs - Bala//@version=5 indicator("SPX EMAs", overlay = true) // Inputs ema8 = ta.ema(close, 8) ema21 = ta.ema(close, 21) ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) // Plot EMAs plot(ema8, "EMA 8", color=color.new(color.green, 0), linewidth=2) plot(ema21, "EMA 21", color=color.new(color.orange, 0), linewidth=2) plot(ema50, "EMA 50", color=color.new(color.blue, 0), linewidth=2) plot(ema200,"EMA 200",color=color.new(color.red, 0), linewidth=2)
Индикатор Pine Script®
от ayalurbala212
TraderForge - Everest Auto Top & BottomEverest is a price action tool designed to help traders instantly spot market structure by automatically plotting swing highs and lows. It detects key reversal points using built-in pivot logic and visually marks each top and bottom on your chart with clean labels and connecting lines. Customizable sensitivity lets you fine-tune the indicator to match any timeframe or asset. Clean visual markers and dashed swing connectors help you quickly recognize market direction and key reversal zones. Everest works across all assets — from SPX and futures to crypto and stocks — making it a versatile companion for intraday scalpers or swing traders alike. Whether you’re tracking higher highs and lower lows or identifying fresh support and resistance, Everest keeps your structure clear and your chart clean. TraderForge – Simple indicators. Powerful results.
Индикатор Pine Script®
от TraderForge
Santo Graal SMC-FVGReading Structures (BOS & CHoCH) BOS (Break of Structure): shows the trend is still rolling. BOS up → bullish trend. BOS down → bearish trend. CHoCH (Change of Character): heads‑up for a possible flip. CHoCH up → start of an uptrend. CHoCH down → start of a downtrend. Playing with FVG (Fair Value Gaps) The tool auto‑marks the fair value gaps for you. Entry: when price comes back to fill/mitigate the gap. Confirmation: if the gap holds, it backs up the trend direction. Pro tip: when the bands stick tight (purple), buckle up — a big move is about to pop.
Индикатор Pine Script®
от masterbillion2025
P6●智能资金概念交易系统//@version=5 indicator("P6●智能资金概念交易系统", overlay=true, max_boxes_count = 500, max_labels_count = 500) // === 参数分类标题 === // -------------------------- // 1. 基础指标设置 // -------------------------- // 2. 范围过滤器 设置 // -------------------------- // 3. ADX 趋势过滤器 设置 // -------------------------- // 4. 趋势线 设置 // -------------------------- // 5. 支撑与阻力 设置 // -------------------------- // 6. PMA 设置 // -------------------------- // 7. 交易信息表格 设置 // -------------------------- // 8. 顶部规避 设置 // -------------------------- // 9. 底部规避 设置 // -------------------------- // 10. RSI 动量指标 设置 // -------------------------- // 11. 多时间框架 设置 // -------------------------- // === 显示/隐藏选项 === showRangeFilter = input.bool(true, title="显示 范围过滤器", group="1. 基础指标设置") showADXFilter = input.bool(true, title="启用 ADX 趋势过滤器", group="1. 基础指标设置") showTrendLines = input.bool(false, title="显示 趋势线", group="1. 基础指标设置") showSupRes = input.bool(true, title="显示 支撑与阻力", group="1. 基础指标设置") showPMA = input.bool(true, title="显示 多周期移动平均线", group="1. 基础指标设置") showTable = input.bool(true, title="显示 交易信息表格", group="1. 基础指标设置") showTopAvoidance = input.bool(false, title="启用 顶部规避系统", group="1. 基础指标设置") showBottomAvoidance = input.bool(false, title="启用 底部规避系统", group="1. 基础指标设置") showRSI = input.bool(false, title="启用 RSI 动量指标", group="1. 基础指标设置") showMTF = input.bool(true, title="启用 多时间框架分析", group="1. 基础指标设置") // === RSI 动量指标 设置 === rsiLength = input.int(14, title="RSI 周期", minval=1, group="10. RSI 动量指标 设置") rsiOverbought = input.float(70.0, title="超买阈值", minval=50, maxval=90, step=1, group="10. RSI 动量指标 设置") rsiOversold = input.float(30.0, title="超卖阈值", minval=10, maxval=50, step=1, group="10. RSI 动量指标 设置") rsiNeutralUpper = input.float(60.0, title="中性区间上沿", minval=50, maxval=70, step=1, group="10. RSI 动量指标 设置") rsiNeutralLower = input.float(40.0, title="中性区间下沿", minval=30, maxval=50, step=1, group="10. RSI 动量指标 设置") // === 多时间框架设置 === mtfEnable1m = input.bool(true, title="启用 1分钟", group="11. 多时间框架 设置") mtfEnable5m = input.bool(true, title="启用 5分钟", group="11. 多时间框架 设置") mtfEnable15m = input.bool(true, title="启用 15分钟", group="11. 多时间框架 设置") mtfEnable1h = input.bool(true, title="启用 1小时", group="11. 多时间框架 设置") mtfEnable4h = input.bool(true, title="启用 4小时", group="11. 多时间框架 设置") // === RSI 计算与状态判断 === rsiValue = ta.rsi(close, rsiLength) rsiPrevious = ta.rsi(close , rsiLength) // RSI 动量状态判断 getRSIStatus() => status = "动量中性" // 动量回落条件：RSI从高位下降或处于下降趋势 fallCondition1 = rsiValue < rsiPrevious and rsiValue > rsiNeutralUpper fallCondition2 = rsiValue >= rsiOverbought and rsiValue < rsiPrevious fallCondition3 = rsiPrevious >= rsiOverbought and rsiValue < rsiOverbought and rsiValue < rsiPrevious if fallCondition1 or fallCondition2 or fallCondition3 status := "动量回落" // 动量回升条件：RSI从低位上升或处于上升趋势 riseCondition1 = rsiValue > rsiPrevious and rsiValue < rsiNeutralLower riseCondition2 = rsiValue <= rsiOversold and rsiValue > rsiPrevious riseCondition3 = rsiPrevious <= rsiOversold and rsiValue > rsiOversold and rsiValue > rsiPrevious if riseCondition1 or riseCondition2 or riseCondition3 status := "动量回升" // 动量中性条件：RSI在中性区间或无明确趋势 if rsiValue >= rsiNeutralLower and rsiValue <= rsiNeutralUpper status := "动量中性" status rsiStatus = getRSIStatus() // RSI 信号与其他指标结合 rsiSupportsBuy = rsiStatus == "动量回升" or (rsiValue <= rsiOversold and rsiValue > rsiPrevious) rsiSupportssell = rsiStatus == "动量回落" or (rsiValue >= rsiOverbought and rsiValue < rsiPrevious) // === 多时间框架数据获取 === // 简化的多时间框架趋势计算 calcSimpleTrend(src) => ema21 = ta.ema(src, 21) ema50 = ta.ema(src, 50) trend = src > ema21 and ema21 > ema50 ? 1 : src < ema21 and ema21 < ema50 ? -1 : 0 trend // 获取各时间框架的趋势数据 trend1m = showMTF and mtfEnable1m ? request.security(syminfo.tickerid, "1", calcSimpleTrend(close)) : 0 trend5m = showMTF and mtfEnable5m ? request.security(syminfo.tickerid, "5", calcSimpleTrend(close)) : 0 trend15m = showMTF and mtfEnable15m ? request.security(syminfo.tickerid, "15", calcSimpleTrend(close)) : 0 trend1h = showMTF and mtfEnable1h ? request.security(syminfo.tickerid, "60", calcSimpleTrend(close)) : 0 trend4h = showMTF and mtfEnable4h ? request.security(syminfo.tickerid, "240", calcSimpleTrend(close)) : 0 // === 多时间框架趋势判断函数 === getTrendDirection(trend) => if trend > 0 "多头倾向" else if trend < 0 "空头倾向" else "震荡" // 获取各时间框架趋势方向 trend1mDir = getTrendDirection(trend1m) trend5mDir = getTrendDirection(trend5m) trend15mDir = getTrendDirection(trend15m) trend1hDir = getTrendDirection(trend1h) trend4hDir = getTrendDirection(trend4h) // === 顶部规避系统 === ma_period_top = input.int(10, 'MA Period (Length)', group='8. 顶部规避 设置') topThreshold = input.int(85, 'VAR顶部阈值', minval=70, maxval=95, step=1, group='8. 顶部规避 设置') // 计算VAR指标 - 顶部（检测上涨动能） pre_price_top = close VAR_top = ta.sma(math.max(close-pre_price_top,0), ma_period_top) / ta.sma(math.abs(close-pre_price_top), ma_period_top) * 100 // 顶部信号 - 当上涨动能达到高位时 isTop = VAR_top > topThreshold and VAR_top <= topThreshold // 图表显示顶部标记 plotshape(series=showTopAvoidance and isTop, title="顶", style=shape.labeldown, location=location.abovebar, color=color.new(color.purple, 0), textcolor=color.white, size=size.normal, text="顶") // === 底部规避系统 === ma_period_bottom = input.int(14, 'MA Period (Length)', group='9. 底部规避 设置') bottomThreshold = input.int(15, 'VAR底部阈值', minval=5, maxval=30, step=1, group='9. 底部规避 设置') // 计算VAR指标 - 底部（检测下跌动能） pre_price_bottom = close VAR_bottom = ta.sma(math.max(pre_price_bottom-close,0), ma_period_bottom) / ta.sma(math.abs(close-pre_price_bottom), ma_period_bottom) * 100 // 底部信号 - 当下跌动能达到高位时 isBottom = VAR_bottom > bottomThreshold and VAR_bottom <= bottomThreshold // 图表显示底部标记 plotshape(series=showBottomAvoidance and isBottom, title="底", style=shape.labelup, location=location.belowbar, color=color.new(color.orange, 0), textcolor=color.white, size=size.normal, text="底") // === 范围过滤器 部分 === upColor = color.white midColor = #90bff9 downColor = color.blue src = input(defval=close, title="数据源", group="2. 范围过滤器 设置") per = input.int(defval=100, minval=1, title="采样周期", group="2. 范围过滤器 设置") mult = input.float(defval=3.0, minval=0.1, title="区间倍数", group="2. 范围过滤器 设置") smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m smoothrng smrng = smoothrng(src, per, mult) rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r rngfilt filt = rngfilt(src, smrng) upward = 0.0 upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward ) downward = 0.0 downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward ) hband = filt + smrng lband = filt - smrng filtcolor = upward > 0 ? upColor : downward > 0 ? downColor : midColor barcolor_ = src > filt and src > src and upward > 0 ? upColor : src > filt and src < src and upward > 0 ? upColor : src < filt and src < src and downward > 0 ? downColor : src < filt and src > src and downward > 0 ? downColor : midColor longCond = bool(na) shortCond = bool(na) longCond := src > filt and src > src and upward > 0 or src > filt and src < src and upward > 0 shortCond := src < filt and src < src and downward > 0 or src < filt and src > src and downward > 0 CondIni = 0 CondIni := longCond ? 1 : shortCond ? -1 : CondIni // === ADX 趋势过滤器 部分 === adxLength = input.int(defval=14, minval=1, title="ADX 周期", group="3. ADX 趋势过滤器 设置") adxThreshold = input.float(defval=25.0, minval=0, maxval=100, step=0.5, title="ADX 阈值", tooltip="ADX大于此值才允许交易信号", group="3. ADX 趋势过滤器 设置") // 简化的ADX计算 - 更准确的方法 calcADX(len) => up = ta.change(high) down = -ta.change(low) plusDM = na(up) ? na : (up > down and up > 0 ? up : 0) minusDM = na(down) ? na : (down > up and down > 0 ? down : 0) truerange = ta.rma(ta.tr, len) plus = fixnan(100 * ta.rma(plusDM, len) / truerange) minus = fixnan(100 * ta.rma(minusDM, len) / truerange) sum = plus + minus adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), len) = calcADX(adxLength) // ADX状态判断 adxStrong = adxValue >= adxThreshold adxTrendUp = diPlus > diMinus adxTrendDown = diMinus > diPlus // 修改信号生成逻辑，加入顶部和底部规避以及RSI确认 longCondition = longCond and CondIni == -1 and (not showADXFilter or adxStrong) and (not showTopAvoidance or not isTop) and (not showRSI or rsiSupportsBuy) shortCondition = shortCond and CondIni == 1 and (not showADXFilter or adxStrong) and (not showBottomAvoidance or not isBottom) and (not showRSI or rsiSupportssell) // === 记录买卖信号价格 === var float entryPrice = na var string entryType = na var float entryTime = na // 当出现买入信号时记录 if longCondition entryPrice := close entryType := "多单" entryTime := time // 当出现卖出信号时记录 if shortCondition entryPrice := close entryType := "空单" entryTime := time // === 趋势颜色逻辑 === var trendColor = color.gray if longCondition trendColor := color.green else if shortCondition trendColor := color.red // ADX线绘制（可选）- 已隐藏显示 adxColor = adxStrong ? (adxTrendUp ? color.green : color.red) : color.gray // plot(showADXLine and showADXFilter ? adxValue : na, title="平均方向指数", color=adxColor, linewidth=1) // hline(showADXLine and showADXFilter ? adxThreshold : na, title="ADX阈值线", color=color.yellow, linestyle=hline.style_dashed) // 绘图部分 - 已隐藏线条显示，保留功能 // filtplot = plot(showRangeFilter ? filt : na, color=trendColor, linewidth=2, title="区间过滤器") // hbandplot = plot(showRangeFilter ? hband : na, color=color.new(trendColor, 30), title="上轨线", linewidth=1) // lbandplot = plot(showRangeFilter ? lband : na, color=color.new(trendColor, 30), title="下轨线", linewidth=1) // barcolor(na) - 已隐藏K线颜色 plotshape(showRangeFilter and longCondition, title="买入信号", text="买", textcolor=color.white, style=shape.labelup, size=size.small, location=location.belowbar, color=color.new(color.green, 20)) plotshape(showRangeFilter and shortCondition, title="卖出信号", text="卖", textcolor=color.white, style=shape.labeldown, size=size.small, location=location.abovebar, color=color.new(color.red, 20)) // === 趋势线 部分 === length_tl = input.int(14, '分型回溯长度', group="4. 趋势线 设置") mult_tl = input.float(1., '斜率系数', minval = 0, step = .1, group="4. 趋势线 设置") calcMethod = input.string('平均真实波幅', '斜率计算方法', options = , group="4. 趋势线 设置") backpaint = input(true, tooltip = '回溯显示：将可视元素向历史偏移，禁用后可查看实时信号。', group="4. 趋势线 设置") upCss = input.color(color.teal, '上升趋势线颜色', group = "4. 趋势线 设置") dnCss = input.color(color.red, '下降趋势线颜色', group = "4. 趋势线 设置") showExt = input(true, '显示延长线', group="4. 趋势线 设置") var upper_tl = 0. var lower_tl = 0. var slope_ph_tl = 0. var slope_pl_tl = 0. var offset_tl = backpaint ? length_tl : 0 n = bar_index src_tl = close ph = ta.pivothigh(length_tl, length_tl) pl = ta.pivotlow(length_tl, length_tl) slope = switch calcMethod '平均真实波幅' => ta.atr(length_tl) / length_tl * mult_tl '标准差' => ta.stdev(src_tl, length_tl) / length_tl * mult_tl '线性回归' => math.abs(ta.sma(src_tl * n, length_tl) - ta.sma(src_tl, length_tl) * ta.sma(n, length_tl)) / ta.variance(n, length_tl) / 2 * mult_tl slope_ph_tl := ph ? slope : slope_ph_tl slope_pl_tl := pl ? slope : slope_pl_tl upper_tl := ph ? ph : upper_tl - slope_ph_tl lower_tl := pl ? pl : lower_tl + slope_pl_tl var upos = 0 var dnos = 0 upos := ph ? 0 : close > upper_tl - slope_ph_tl * length_tl ? 1 : upos dnos := pl ? 0 : close < lower_tl + slope_pl_tl * length_tl ? 1 : dnos var uptl = line.new(na,na,na,na, color = upCss, style = line.style_dashed, extend = extend.right) var dntl = line.new(na,na,na,na, color = dnCss, style = line.style_dashed, extend = extend.right) if ph and showExt and showTrendLines line.set_xy1(uptl, n-offset_tl, backpaint ? ph : upper_tl - slope_ph_tl * length_tl) line.set_xy2(uptl, n-offset_tl+1, backpaint ? ph - slope : upper_tl - slope_ph_tl * (length_tl+1)) if pl and showExt and showTrendLines line.set_xy1(dntl, n-offset_tl, backpaint ? pl : lower_tl + slope_pl_tl * length_tl) line.set_xy2(dntl, n-offset_tl+1, backpaint ? pl + slope : lower_tl + slope_pl_tl * (length_tl+1)) plot(showTrendLines ? (backpaint ? upper_tl : upper_tl - slope_ph_tl * length_tl) : na, '上升趋势线', color = ph ? na : upCss, offset = -offset_tl) plot(showTrendLines ? (backpaint ? lower_tl : lower_tl + slope_pl_tl * length_tl) : na, '下降趋势线', color = pl ? na : dnCss, offset = -offset_tl) // 趋势线突破也需要ADX确认，并加入顶部和底部规避以及RSI确认 trendLineBuySignal = showTrendLines and upos > upos and (not showADXFilter or adxStrong) and (not showTopAvoidance or not isTop) and (not showRSI or rsiSupportsBuy) trendLineSellSignal = showTrendLines and dnos > dnos and (not showADXFilter or adxStrong) and (not showBottomAvoidance or not isBottom) and (not showRSI or rsiSupportssell) plotshape(trendLineBuySignal ? low : na, "上轨突破" , shape.labelup , location.absolute , upCss , text = "突" , textcolor = color.white , size = size.tiny) plotshape(trendLineSellSignal ? high : na, "下轨突破" , shape.labeldown , location.absolute , dnCss , text = "突" , textcolor = color.white , size = size.tiny) alertcondition(trendLineBuySignal, '上轨突破', '价格向上突破下趋势线') alertcondition(trendLineSellSignal, '下轨突破', '价格向下突破上趋势线') // === 支撑与阻力 部分 === g_sr = '5. 支撑与阻力' g_c = '条件' g_st = '样式' t_r = 'K线确认：仅在K线收盘时生成警报（延后1根K线）。 高点与低点：默认情况下，突破/回踩系统使用当前收盘价判断，选择高点与低点后将使用高低点判断条件，不再重绘，结果会不同。' t_rv = '每当检测到潜在回踩时，指标会判断回踩事件即将发生。此输入用于设置在潜在回踩激活时，最大允许检测多少根K线。 例如，出现潜在回踩标签时，该标签允许存在多少根K线以确认回踩？此功能防止回踩警报在10根K线后才触发导致不准确。' input_lookback = input.int(defval = 20, title = '回溯区间', minval = 1, tooltip = '检测分型事件的K线数量。', group = g_sr) input_retSince = input.int(defval = 2, title = '突破后K线数', minval = 1, tooltip = '突破后多少根K线内检测回踩。', group = g_sr) input_retValid = input.int(defval = 2, title = '回踩检测限制', minval = 1, tooltip = t_rv, group = g_sr) input_breakout = input.bool(defval = true, title = '显示突破', group = g_c) input_retest = input.bool(defval = true, title = '显示回踩', group = g_c) input_repType = input.string(defval = '开启', title = '重绘模式', options = , tooltip = t_r, group = g_c) input_outL = input.string(defval = line.style_dotted, title = '边框样式', group = g_st, options = ) input_extend = input.string(defval = extend.none, title = '延长方向', group = g_st, options = ) input_labelType = input.string(defval = '详细', title = '标签类型', options = , group = g_st) input_labelSize = input.string(defval = size.small, title = '标签大小', options = , group = g_st) st_break_lb_co1 = input.color(defval = color.lime , title = '空头突破标签颜色' ,inline = 'st_break_lb_co', group = g_st) st_break_lb_co2 = input.color(defval = color.new(color.lime,40) , title = '' ,inline = 'st_break_lb_co', group = g_st) lg_break_lb_co1 = input.color(defval = color.red , title = '多头突破标签颜色' ,inline = 'lg_break_lb_co', group = g_st) lg_break_lb_co2 = input.color(defval = color.new(color.red,40) , title = '' ,inline = 'lg_break_lb_co', group = g_st) st_retest_lb_co1 = input.color(defval = color.lime , title = '空头回踩标签颜色' ,inline = 'st_retest_lb_col', group = g_st) st_retest_lb_co2 = input.color(defval = color.new(color.lime,40) , title = '' ,inline = 'st_retest_lb_col', group = g_st) lg_retest_lb_co1 = input.color(defval = color.red , title = '多头回踩标签颜色' ,inline = 'lg_retest_lb_co', group = g_st) lg_retest_lb_co2 = input.color(defval = color.new(color.red,40) , title = '' ,inline = 'lg_retest_lb_co', group = g_st) input_plColor1 = input.color(defval = color.lime, title = '支撑方框颜色', inline = 'pl_Color', group = g_st) input_plColor2 = input.color(defval = color.new(color.lime,85), title = '', inline = 'pl_Color', group = g_st) input_phColor1 = input.color(defval = color.red, title = '阻力方框颜色', inline = 'ph_Color', group = g_st) input_phColor2 = input.color(defval = color.new(color.red,85), title = '', inline = 'ph_Color', group = g_st) input_override = input.bool(defval = false, title = '自定义文字颜色', inline = '覆盖', group = g_st) input_textColor = input.color(defval = color.white, title = '', inline = '覆盖', group = g_st) bb = input_lookback // 兼容label与英文选项 rTon = input_repType == '开启' rTcc = input_repType == '关闭:K线确认' rThv = input_repType == '关闭:高低点' breakText = input_labelType == '简洁' ? '突' : '突破' // 分型 rs_pl = fixnan(ta.pivotlow(low, bb, bb)) rs_ph = fixnan(ta.pivothigh(high, bb, bb)) // Box 高度 s_yLoc = low > low ? low : low r_yLoc = high > high ? high : high //----------------------------------------------------------------------------- // 函数 //----------------------------------------------------------------------------- drawBox(condition, y1, y2, color,bgcolor) => var box drawBox = na if condition and showSupRes // 仅在显示开关打开时绘制 box.set_right(drawBox, bar_index - bb) drawBox.set_extend(extend.none) drawBox := box.new(bar_index - bb, y1, bar_index, y2, color, bgcolor = bgcolor, border_style = input_outL, extend = input_extend) updateBox(box) => if barstate.isconfirmed and showSupRes box.set_right(box, bar_index + 5) breakLabel(y, txt_col,lb_col, style, textform) => if showSupRes label.new(bar_index, y, textform, textcolor = input_override ? input_textColor : txt_col, style = style, color = lb_col, size = input_labelSize) retestCondition(breakout, condition) => ta.barssince(na(breakout)) > input_retSince and condition repaint(c1, c2, c3) => rTon ? c1 : rThv ? c2 : rTcc ? c3 : na //----------------------------------------------------------------------------- // 绘制与更新区间 //----------------------------------------------------------------------------- = drawBox(ta.change(rs_pl), s_yLoc, rs_pl, input_plColor1,input_plColor2) = drawBox(ta.change(rs_ph), rs_ph, r_yLoc, input_phColor1,input_phColor2) sTop = box.get_top(sBox), rTop = box.get_top(rBox) sBot = box.get_bottom(sBox), rBot = box.get_bottom(rBox) if showSupRes updateBox(sBox), updateBox(rBox) //----------------------------------------------------------------------------- // 突破事件 - 加入顶部和底部规避以及RSI确认 //----------------------------------------------------------------------------- var bool sBreak = na var bool rBreak = na cu = repaint(ta.crossunder(close, box.get_bottom(sBox)), ta.crossunder(low, box.get_bottom(sBox)), ta.crossunder(close, box.get_bottom(sBox)) and barstate.isconfirmed) co = repaint(ta.crossover(close, box.get_top(rBox)), ta.crossover(high, box.get_top(rBox)), ta.crossover(close, box.get_top(rBox)) and barstate.isconfirmed) switch cu and na(sBreak) and showSupRes and (not showADXFilter or adxStrong) and (not showBottomAvoidance or not isBottom) and (not showRSI or rsiSupportssell) => sBreak := true if input_breakout breakLabel(sBot, st_break_lb_co1,st_break_lb_co2, label.style_label_upper_right, breakText) co and na(rBreak) and showSupRes and (not showADXFilter or adxStrong) and (not showTopAvoidance or not isTop) and (not showRSI or rsiSupportsBuy) => rBreak := true if input_breakout breakLabel(rTop, lg_break_lb_co1,lg_break_lb_co2, label.style_label_lower_right, breakText) if ta.change(rs_pl) and showSupRes if na(sBreak) box.delete(sBox ) sBreak := na if ta.change(rs_ph) and showSupRes if na(rBreak) box.delete(rBox ) rBreak := na //----------------------------------------------------------------------------- // 回踩事件 //----------------------------------------------------------------------------- s1 = retestCondition(sBreak, high >= sTop and close <= sBot) s2 = retestCondition(sBreak, high >= sTop and close >= sBot and close <= sTop) s3 = retestCondition(sBreak, high >= sBot and high <= sTop) s4 = retestCondition(sBreak, high >= sBot and high <= sTop and close < sBot) r1 = retestCondition(rBreak, low <= rBot and close >= rTop) r2 = retestCondition(rBreak, low <= rBot and close <= rTop and close >= rBot) r3 = retestCondition(rBreak, low <= rTop and low >= rBot) r4 = retestCondition(rBreak, low <= rTop and low >= rBot and close > rTop) retestEvent(c1, c2, c3, c4, y1, y2, txt_col,lb_col, style, pType) => if input_retest and showSupRes var bool retOccurred = na retActive = c1 or c2 or c3 or c4 retEvent = retActive and not retActive retValue = ta.valuewhen(retEvent, y1, 0) if pType == 'ph' ? y2 < ta.valuewhen(retEvent, y2, 0) : y2 > ta.valuewhen(retEvent, y2, 0) retEvent := retActive retValue := ta.valuewhen(retEvent, y1, 0) retSince = ta.barssince(retEvent) var retLabel = array.new() if retEvent retOccurred := na array.push(retLabel, label.new(bar_index - retSince, y2 , text = input_labelType == '简洁' ? '潜回' : '潜在回踩', color = lb_col, style = style, textcolor = input_override ? input_textColor : txt_col, size = input_labelSize)) if array.size(retLabel) == 2 label.delete(array.first(retLabel)) array.shift(retLabel) retConditions = pType == 'ph' ? repaint(close >= retValue, high >= retValue, close >= retValue and barstate.isconfirmed) : repaint(close <= retValue, low <= retValue, close <= retValue and barstate.isconfirmed) retValid = ta.barssince(retEvent) > 0 and ta.barssince(retEvent) <= input_retValid and retConditions and not retOccurred and (not showADXFilter or adxStrong) and (not showRSI or (pType == 'ph' ? rsiSupportsBuy : rsiSupportssell)) if retValid label.new(bar_index - retSince, y2 , text = input_labelType == '简洁' ? '回' : '回踩', color = lb_col, style = style, textcolor = input_override ? input_textColor : txt_col, size = input_labelSize) retOccurred := true if retValid or ta.barssince(retEvent) > input_retValid label.delete(array.first(retLabel)) if pType == 'ph' and ta.change(rs_ph) and retOccurred box.set_right(rBox , bar_index - retSince) retOccurred := na if pType == 'pl' and ta.change(rs_pl) and retOccurred box.set_right(sBox , bar_index - retSince) retOccurred := na else = retestEvent(r1, r2, r3, r4, high, low, lg_retest_lb_co1,lg_retest_lb_co2, label.style_label_upper_left, 'ph') = retestEvent(s1, s2, s3, s4, low, high, st_retest_lb_co1,st_retest_lb_co2, label.style_label_lower_left, 'pl') //----------------------------------------------------------------------------- // 警报 //----------------------------------------------------------------------------- // 买卖信号警报条件 buySignal = showTrendLines and trendLineBuySignal sellSignal = showTrendLines and trendLineSellSignal // 添加买卖信号的警报条件 alertcondition(buySignal, title='买入信号', message='范围过滤器买入信号：上轨突破') alertcondition(sellSignal, title='卖出信号', message='范围过滤器卖出信号：下轨突破') alertcondition((showSupRes and ta.change(rs_pl)), '新支撑位') alertcondition((showSupRes and ta.change(rs_ph)), '新阻力位') alertcondition((showSupRes and ta.barssince(na(sBreak)) == 1), '支撑位突破') alertcondition((showSupRes and ta.barssince(na(rBreak)) == 1), '阻力位突破') alertcondition((showSupRes and sRetValid), '支撑位回踩') alertcondition((showSupRes and sRetEvent), '潜在支撑回踩') alertcondition((showSupRes and rRetValid), '阻力位回踩') alertcondition((showSupRes and rRetEvent), '潜在阻力回踩') AllAlerts(condition, message) => if condition and showSupRes alert(message) AllAlerts(ta.change(rs_pl), '新支撑位') AllAlerts(ta.change(rs_ph), '新阻力位') AllAlerts(ta.barssince(na(sBreak)) == 1, '支撑位突破') AllAlerts(ta.barssince(na(rBreak)) == 1, '阻力位突破') AllAlerts(sRetValid, '支撑位回踩') AllAlerts(sRetEvent, '潜在支撑回踩') AllAlerts(rRetValid, '阻力位回踩') AllAlerts(rRetEvent, '潜在阻力回踩') AllAlerts(buySignal, '买入信号：上轨突破') AllAlerts(sellSignal, '卖出信号：下轨突破') // === 多周期移动平均线 部分 === // === 公共函数 === strRoundValue(num) => strv = '' if num >= 100000 strv := str.tostring(num/1000, '#千') else if (num < 100000) and (num >= 100) strv := str.tostring(num, '#') else if (num < 100) and (num >= 1) strv := str.tostring(num, '#.##') else if (num < 1) and (num >= 0.01) strv := str.tostring(num, '#.####') else if (num < 0.01) and (num >= 0.0001) strv := str.tostring(num, '#.######') else if (num < 0.0001) and (num >= 0.000001) strv := str.tostring(num, '#.########') (strv) defaultFunction(func, src, len, alma_offst, alma_sigma) => has_len = false ma = ta.swma(close) if func == '自适应移动平均' ma := ta.alma(src, len, alma_offst, alma_sigma) has_len := true else if func == '指数移动平均' ma := ta.ema(src, len) has_len := true else if func == '修正移动平均' ma := ta.rma(src, len) has_len := true else if func == '简单移动平均' ma := ta.sma(src, len) has_len := true else if func == '对称加权移动平均' ma := ta.swma(src) has_len := false else if func == '成交量加权平均价' ma := ta.vwap(src) has_len := false else if func == '成交量加权移动平均' ma := ta.vwma(src, len) has_len := true else if func == '加权移动平均' ma := ta.wma(src, len) has_len := true def_fn = input.string(title='默认移动平均线', defval='指数移动平均', options= , group="6. PMA 设置") ma1_on = input.bool(inline='均线1', title='启用移动平均线1', defval=false, group="6. PMA 设置") ma2_on = input.bool(inline='均线2', title='启用移动平均线2', defval=true, group="6. PMA 设置") ma3_on = input.bool(inline='均线3', title='启用移动平均线3', defval=true, group="6. PMA 设置") ma4_on = input.bool(inline='均线4', title='启用移动平均线4', defval=true, group="6. PMA 设置") ma5_on = input.bool(inline='均线5', title='启用移动平均线5', defval=true, group="6. PMA 设置") ma6_on = input.bool(inline='均线6', title='启用移动平均线6', defval=true, group="6. PMA 设置") ma7_on = input.bool(inline='均线7', title='启用移动平均线7', defval=true, group="6. PMA 设置") ma1_fn = input.string(inline='均线1', title='', defval='默认', options= , group="6. PMA 设置") ma2_fn = input.string(inline='均线2', title='', defval='默认', options= , group="6. PMA 设置") ma3_fn = input.string(inline='均线3', title='', defval='默认', options= , group="6. PMA 设置") ma4_fn = input.string(inline='均线4', title='', defval='默认', options= , group="6. PMA 设置") ma5_fn = input.string(inline='均线5', title='', defval='默认', options= , group="6. PMA 设置") ma6_fn = input.string(inline='均线6', title='', defval='默认', options= , group="6. PMA 设置") ma7_fn = input.string(inline='均线7', title='', defval='默认', options= , group="6. PMA 设置") ma1_len = input.int(inline='均线1', title='', defval=12, minval=1, group="6. PMA 设置") ma2_len = input.int(inline='均线2', title='', defval=144, minval=1, group="6. PMA 设置") ma3_len = input.int(inline='均线3', title='', defval=169, minval=1, group="6. PMA 设置") ma4_len = input.int(inline='均线4', title='', defval=288, minval=1, group="6. PMA 设置") ma5_len = input.int(inline='均线5', title='', defval=338, minval=1, group="6. PMA 设置") ma6_len = input.int(inline='均线6', title='', defval=576, minval=1, group="6. PMA 设置") ma7_len = input.int(inline='均线7', title='', defval=676, minval=1, group="6. PMA 设置") alma1_offst = input.float(group='均线1其他设置', inline='均线11', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma1_sigma = input.float(group='均线1其他设置', inline='均线11', title=', 西格玛', defval=6, minval=0, maxval=100, step=0.01) ma1_src = input.source(group='均线1其他设置', inline='均线12', title='数据源', defval=close) ma1_plt_offst = input.int(group='均线1其他设置', inline='均线12', title=', 绘图偏移', defval=0, minval=-500, maxval=500) alma2_offst = input.float(group='均线2其他设置', inline='均线21', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma2_sigma = input.float(group='均线2其他设置', inline='均线21', title='西格玛', defval=6, minval=0, maxval=100, step=0.01) ma2_src = input.source(group='均线2其他设置', inline='均线22', title='数据源', defval=close) ma2_plt_offst = input.int(group='均线2其他设置', inline='均线22', title='绘图偏移', defval=0, minval=-500, maxval=500) alma3_offst = input.float(group='均线3其他设置', inline='均线31', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma3_sigma = input.float(group='均线3其他设置', inline='均线31', title='西格玛', defval=6, minval=0, maxval=100, step=0.01) ma3_src = input.source(group='均线3其他设置', inline='均线32', title='数据源', defval=close) ma3_plt_offst = input.int(group='均线3其他设置', inline='均线32', title='绘图偏移', defval=0, minval=-500, maxval=500) alma4_offst = input.float(group='均线4其他设置', inline='均线41', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma4_sigma = input.float(group='均线4其他设置', inline='均线41', title='西格玛', defval=6, minval=0, maxval=100, step=0.01) ma4_src = input.source(group='均线4其他设置', inline='均线42', title='数据源', defval=close) ma4_plt_offst = input.int(group='均线4其他设置', inline='均线42', title='绘图偏移', defval=0, minval=-500, maxval=500) alma5_offst = input.float(group='均线5其他设置', inline='均线51', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma5_sigma = input.float(group='均线5其他设置', inline='均线51', title='西格玛', defval=6, minval=0, maxval=100, step=0.01) ma5_src = input.source(group='均线5其他设置', inline='均线52', title='数据源', defval=close) ma5_plt_offst = input.int(group='均线5其他设置', inline='均线52', title='绘图偏移', defval=0, minval=-500, maxval=500) alma6_offst = input.float(group='均线6其他设置', inline='均线61', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma6_sigma = input.float(group='均线6其他设置', inline='均线61', title='西格玛', defval=6, minval=0, maxval=100, step=0.01) ma6_src = input.source(group='均线6其他设置', inline='均线62', title='数据源', defval=close) ma6_plt_offst = input.int(group='均线6其他设置', inline='均线62', title='绘图偏移', defval=0, minval=-500, maxval=500) alma7_offst = input.float(group='均线7其他设置', inline='均线71', title='自适应偏移', defval=0.85, minval=-1, maxval=1, step=0.01) alma7_sigma = input.float(group='均线7其他设置', inline='均线71', title='西格玛', defval=6, minval=0, maxval=100, step=0.01) ma7_src = input.source(group='均线7其他设置', inline='均线72', title='数据源', defval=close) ma7_plt_offst = input.int(group='均线7其他设置', inline='均线72', title='绘图偏移', defval=0, minval=-500, maxval=500) fill_12_on = input.bool(title='启用均线1-2填充', defval=false, group="6. PMA 设置") fill_23_on = input.bool(title='启用均线2-3填充', defval=true, group="6. PMA 设置") fill_34_on = input.bool(title='启用均线3-4填充', defval=false, group="6. PMA 设置") fill_45_on = input.bool(title='启用均线4-5填充', defval=true, group="6. PMA 设置") fill_56_on = input.bool(title='启用均线5-6填充', defval=false, group="6. PMA 设置") fill_67_on = input.bool(title='启用均线6-7填充', defval=true, group="6. PMA 设置") // === 计算移动平均线 === = defaultFunction(def_fn, ma1_src, ma1_len, alma1_offst, alma1_sigma) = defaultFunction(def_fn, ma2_src, ma2_len, alma2_offst, alma2_sigma) = defaultFunction(def_fn, ma3_src, ma3_len, alma3_offst, alma3_sigma) = defaultFunction(def_fn, ma4_src, ma4_len, alma4_offst, alma4_sigma) = defaultFunction(def_fn, ma5_src, ma5_len, alma5_offst, alma5_sigma) = defaultFunction(def_fn, ma6_src, ma6_len, alma6_offst, alma6_sigma) = defaultFunction(def_fn, ma7_src, ma7_len, alma7_offst, alma7_sigma) // === 均线类型切换 === if ma1_fn != '默认' if ma1_fn == '自适应移动平均' ma1 := ta.alma(ma1_src, ma1_len, alma1_offst, alma1_sigma) ma1_has_len := true else if ma1_fn == '指数移动平均' ma1 := ta.ema(ma1_src, ma1_len) ma1_has_len := true else if ma1_fn == '修正移动平均' ma1 := ta.rma(ma1_src, ma1_len) ma1_has_len := true else if ma1_fn == '简单移动平均' ma1 := ta.sma(ma1_src, ma1_len) ma1_has_len := true else if ma1_fn == '对称加权移动平均' ma1 := ta.swma(ma1_src) ma1_has_len := false else if ma1_fn == '成交量加权平均价' ma1 := ta.vwap(ma1_src) ma1_has_len := false else if ma1_fn == '成交量加权移动平均' ma1 := ta.vwma(ma1_src, ma1_len) ma1_has_len := true else if ma1_fn == '加权移动平均' ma1 := ta.wma(ma1_src, ma1_len) ma1_has_len := true if ma2_fn != '默认' if ma2_fn == '自适应移动平均' ma2 := ta.alma(ma2_src, ma2_len, alma2_offst, alma2_sigma) ma2_has_len := true else if ma2_fn == '指数移动平均' ma2 := ta.ema(ma2_src, ma2_len) ma2_has_len := true else if ma2_fn == '修正移动平均' ma2 := ta.rma(ma2_src, ma2_len) ma2_has_len := true else if ma2_fn == '简单移动平均' ma2 := ta.sma(ma2_src, ma2_len) ma2_has_len := true else if ma2_fn == '对称加权移动平均' ma2 := ta.swma(ma2_src) ma2_has_len := false else if ma2_fn == '成交量加权平均价' ma2 := ta.vwap(ma2_src) ma2_has_len := false else if ma2_fn == '成交量加权移动平均' ma2 := ta.vwma(ma2_src, ma2_len) ma2_has_len := true else if ma2_fn == '加权移动平均' ma2 := ta.wma(ma2_src, ma2_len) ma2_has_len := true if ma3_fn != '默认' if ma3_fn == '自适应移动平均' ma3 := ta.alma(ma3_src, ma3_len, alma3_offst, alma3_sigma) ma3_has_len := true else if ma3_fn == '指数移动平均' ma3 := ta.ema(ma3_src, ma3_len) ma3_has_len := true else if ma3_fn == '修正移动平均' ma3 := ta.rma(ma3_src, ma3_len) ma3_has_len := true else if ma3_fn == '简单移动平均' ma3 := ta.sma(ma3_src, ma3_len) ma3_has_len := true else if ma3_fn == '对称加权移动平均' ma3 := ta.swma(ma3_src) ma3_has_len := false else if ma3_fn == '成交量加权平均价' ma3 := ta.vwap(ma3_src) ma3_has_len := false else if ma3_fn == '成交量加权移动平均' ma3 := ta.vwma(ma3_src, ma3_len) ma3_has_len := true else if ma3_fn == '加权移动平均' ma3 := ta.wma(ma3_src, ma3_len) ma3_has_len := true if ma4_fn != '默认' if ma4_fn == '自适应移动平均' ma4 := ta.alma(ma4_src, ma4_len, alma4_offst, alma4_sigma) ma4_has_len := true else if ma4_fn == '指数移动平均' ma4 := ta.ema(ma4_src, ma4_len) ma4_has_len := true else if ma4_fn == '修正移动平均' ma4 := ta.rma(ma4_src, ma4_len) ma4_has_len := true else if ma4_fn == '简单移动平均' ma4 := ta.sma(ma4_src, ma4_len) ma4_has_len := true else if ma4_fn == '对称加权移动平均' ma4 := ta.swma(ma4_src) ma4_has_len := false else if ma4_fn == '成交量加权平均价' ma4 := ta.vwap(ma4_src) ma4_has_len := false else if ma4_fn == '成交量加权移动平均' ma4 := ta.vwma(ma4_src, ma4_len) ma4_has_len := true else if ma4_fn == '加权移动平均' ma4 := ta.wma(ma4_src, ma4_len) ma4_has_len := true if ma5_fn != '默认' if ma5_fn == '自适应移动平均' ma5 := ta.alma(ma5_src, ma5_len, alma5_offst, alma5_sigma) ma5_has_len := true else if ma5_fn == '指数移动平均' ma5 := ta.ema(ma5_src, ma5_len) ma5_has_len := true else if ma5_fn == '修正移动平均' ma5 := ta.rma(ma5_src, ma5_len) ma5_has_len := true else if ma5_fn == '简单移动平均' ma5 := ta.sma(ma5_src, ma5_len) ma5_has_len := true else if ma5_fn == '对称加权移动平均' ma5 := ta.swma(ma5_src) ma5_has_len := false else if ma5_fn == '成交量加权平均价' ma5 := ta.vwap(ma5_src) ma5_has_len := false else if ma5_fn == '成交量加权移动平均' ma5 := ta.vwma(ma5_src, ma5_len) ma5_has_len := true else if ma5_fn == '加权移动平均' ma5 := ta.wma(ma5_src, ma5_len) ma5_has_len := true if ma6_fn != '默认' if ma6_fn == '自适应移动平均' ma6 := ta.alma(ma6_src, ma6_len, alma6_offst, alma6_sigma) ma6_has_len := true else if ma6_fn == '指数移动平均' ma6 := ta.ema(ma6_src, ma6_len) ma6_has_len := true else if ma6_fn == '修正移动平均' ma6 := ta.rma(ma6_src, ma6_len) ma6_has_len := true else if ma6_fn == '简单移动平均' ma6 := ta.sma(ma6_src, ma6_len) ma6_has_len := true else if ma6_fn == '对称加权移动平均' ma6 := ta.swma(ma6_src) ma6_has_len := false else if ma6_fn == '成交量加权平均价' ma6 := ta.vwap(ma6_src) ma6_has_len := false else if ma6_fn == '成交量加权移动平均' ma6 := ta.vwma(ma6_src, ma6_len) ma6_has_len := true else if ma6_fn == '加权移动平均' ma6 := ta.wma(ma6_src, ma6_len) ma6_has_len := true if ma7_fn != '默认' if ma7_fn == '自适应移动平均' ma7 := ta.alma(ma7_src, ma7_len, alma7_offst, alma7_sigma) ma7_has_len := true else if ma7_fn == '指数移动平均' ma7 := ta.ema(ma7_src, ma7_len) ma7_has_len := true else if ma7_fn == '修正移动平均' ma7 := ta.rma(ma7_src, ma7_len) ma7_has_len := true else if ma7_fn == '简单移动平均' ma7 := ta.sma(ma7_src, ma7_len) ma7_has_len := true else if ma7_fn == '对称加权移动平均' ma7 := ta.swma(ma7_src) ma7_has_len := false else if ma7_fn == '成交量加权平均价' ma7 := ta.vwap(ma7_src) ma7_has_len := false else if ma7_fn == '成交量加权移动平均' ma7 := ta.vwma(ma7_src, ma7_len) ma7_has_len := true else if ma7_fn == '加权移动平均' ma7 := ta.wma(ma7_src, ma7_len) ma7_has_len := true // === 均线颜色 === ma1_clr = color.new(color.fuchsia, 0) ma2_clr = color.new(color.aqua, 0) ma3_clr = color.new(color.yellow, 0) ma4_clr = color.new(color.blue, 0) ma5_clr = color.new(color.orange, 0) ma6_clr = color.new(color.green, 0) ma7_clr = color.new(color.red, 0) // === 均线全局绘图 === p1 = plot(series=showPMA and ma1_on ? ma1 : na, title="均线1", color=ma1_clr, trackprice=false, offset=ma1_plt_offst, linewidth=2) p2 = plot(series=showPMA and ma2_on ? ma2 : na, title="均线2", color=ma2_clr, trackprice=false, offset=ma2_plt_offst, linewidth=2) p3 = plot(series=showPMA and ma3_on ? ma3 : na, title="均线3", color=ma3_clr, trackprice=false, offset=ma3_plt_offst, linewidth=2) p4 = plot(series=showPMA and ma4_on ? ma4 : na, title="均线4", color=ma4_clr, trackprice=false, offset=ma4_plt_offst, linewidth=2) p5 = plot(series=showPMA and ma5_on ? ma5 : na, title="均线5", color=ma5_clr, trackprice=false, offset=ma5_plt_offst, linewidth=2) p6 = plot(series=showPMA and ma6_on ? ma6 : na, title="均线6", color=ma6_clr, trackprice=false, offset=ma6_plt_offst, linewidth=2) p7 = plot(series=showPMA and ma7_on ? ma7 : na, title="均线7", color=ma7_clr, trackprice=false, offset=ma7_plt_offst, linewidth=2) // === 多周期移动平均线 填充渲染 === fill(p1, p2, color=showPMA and ma1_on and ma2_on and fill_12_on ? color.new(color.purple, 70) : na, title="均线1-2填充") fill(p2, p3, color=showPMA and ma2_on and ma3_on and fill_23_on ? color.new(color.blue, 70) : na, title="均线2-3填充") fill(p3, p4, color=showPMA and ma3_on and ma4_on and fill_34_on ? color.new(color.teal, 70) : na, title="均线3-4填充") fill(p4, p5, color=showPMA and ma4_on and ma5_on and fill_45_on ? color.new(color.green, 70) : na, title="均线4-5填充") fill(p5, p6, color=showPMA and ma5_on and ma6_on and fill_56_on ? color.new(color.yellow, 70) : na, title="均线5-6填充") fill(p6, p7, color=showPMA and ma6_on and ma7_on and fill_67_on ? color.new(color.orange, 70) : na, title="均线6-7填充") // === 交易信息表格 部分 === // 表格参数设置 - 修改默认大小为中等 tablePos = input.string("右上角", title="表格位置", options= , group="7. 交易信息表格 设置") tableSize = input.string("中等", title="表格大小", options= , group="7. 交易信息表格 设置") showTargets = input.bool(true, title="显示止盈目标", group="7. 交易信息表格 设置") showRatio = input.bool(true, title="显示盈亏比", group="7. 交易信息表格 设置") // 辅助函数 getTablePosition() => switch tablePos "右上角" => position.top_right "右下角" => position.bottom_right "左上角" => position.top_left "左下角" => position.bottom_left getTableSize() => switch tableSize "小" => size.small "中等" => size.normal "大" => size.large formatPrice(price) => if na(price) "N/A" else str.tostring(price, "#.####") calcStopLossPercentage(entryPrice, stopLoss, entryType) => if na(entryPrice) or na(stopLoss) or na(entryType) "" else pct = 0.0 if entryType == "多单" pct := (stopLoss - entryPrice) / entryPrice * 100 else if entryType == "空单" pct := (entryPrice - stopLoss) / entryPrice * 100 " (" + str.tostring(pct, "#.##") + "%)" calcTakeProfitPercentage(entryPrice, takeProfit, entryType) => if na(entryPrice) or na(takeProfit) or na(entryType) "" else pct = 0.0 if entryType == "多单" pct := (takeProfit - entryPrice) / entryPrice * 100 else if entryType == "空单" pct := (entryPrice - takeProfit) / entryPrice * 100 " (+" + str.tostring(pct, "#.##") + "%)" calcUnrealizedPnL(entryPrice, currentPrice, entryType) => if na(entryPrice) or na(currentPrice) or na(entryType) "" else priceDiff = currentPrice - entryPrice pct = (currentPrice - entryPrice) / entryPrice * 100 if entryType == "多单" if pct > 0 " (" + formatPrice(priceDiff) + ", +" + str.tostring(pct, "#.##") + "%)" else " (" + formatPrice(priceDiff) + ", " + str.tostring(pct, "#.##") + "%)" else if entryType == "空单" // 对于空单，价差符号相反 if pct < 0 " (" + formatPrice(-priceDiff) + ", +" + str.tostring(-pct, "#.##") + "%)" else " (" + formatPrice(-priceDiff) + ", " + str.tostring(-pct, "#.##") + "%)" else "" // RSI状态颜色函数 getRSIStatusColor() => switch rsiStatus "动量回升" => // 绿色 "动量回落" => // 红色 "动量中性" => // 黄色 => // 默认灰色 // 多时间框架趋势颜色函数 getTrendColor(trendDirection) => switch trendDirection "多头倾向" => // 绿色 "空头倾向" => // 红色 "震荡" => // 黄色 => // 默认灰色 // === 蓝紫科幻风格表格 === // 创建蓝紫色主题的表格 var infoTable = table.new(getTablePosition(), columns=2, rows=26, bgcolor=color.new(#0f0a1a, 5), border_width=3, border_color=color.new(#6633ff, 40), frame_width=2, frame_color=color.new(#9966ff, 30)) if showTable and barstate.islast // 确定止盈止损位 var float stopLoss = na var float takeProfit1 = na var float takeProfit2 = na if not na(entryType) if entryType == "多单" stopLoss := na(sBot) ? entryPrice * 0.98 : sBot takeProfit1 := na(rTop) ? entryPrice * 1.02 : rTop takeProfit2 := entryPrice * 1.05 else if entryType == "空单" stopLoss := na(rTop) ? entryPrice * 1.02 : rTop takeProfit1 := na(sBot) ? entryPrice * 0.98 : sBot takeProfit2 := entryPrice * 0.95 // 计算盈亏比 riskRewardRatio = na(entryPrice) or na(stopLoss) or na(takeProfit1) ? na : math.abs(takeProfit1 - entryPrice) / math.abs(entryPrice - stopLoss) riskRewardStr = na(riskRewardRatio) ? "N/A" : "1:" + str.tostring(riskRewardRatio, "#.##") rowIndex = 0 // === 作者联系信息行 - 最顶部，大字体 === table.cell(infoTable, 0, rowIndex, "合作联系作者", text_color=color.new(#ffcc99, 0), text_size=size.normal, bgcolor=color.new(#1a1a0d, 0)) table.cell(infoTable, 1, rowIndex, "qq2390107445", text_color=color.new(#66ff99, 0), text_size=size.normal, bgcolor=color.new(#0d2619, 0)) rowIndex += 1 // === 表格标题行 - 蓝紫主题 === table.cell(infoTable, 0, rowIndex, "⚡ P6●智能资金概念交易系统", text_color=color.new(#ccccff, 0), text_size=getTableSize(), bgcolor=color.new(#1a0d33, 0)) table.cell(infoTable, 1, rowIndex, "『" + syminfo.ticker + "』", text_color=color.new(#9966ff, 0), text_size=size.normal, bgcolor=color.new(#1a0d33, 0)) rowIndex += 1 // === 当前价格与浮盈浮亏行 - 蓝紫主题 === unrealizedPnL = calcUnrealizedPnL(entryPrice, close, entryType) // 浮盈浮亏颜色逻辑 pnlColor = color.new(#ccccff, 0) pnlBgColor = color.new(#0d0d1a, 0) if not na(entryPrice) if entryType == "多单" if close > entryPrice pnlColor := color.new(#66ff99, 0) pnlBgColor := color.new(#0d2619, 0) else pnlColor := color.new(#ff6699, 0) pnlBgColor := color.new(#260d19, 0) else if entryType == "空单" if close < entryPrice pnlColor := color.new(#66ff99, 0) pnlBgColor := color.new(#0d2619, 0) else pnlColor := color.new(#ff6699, 0) pnlBgColor := color.new(#260d19, 0) table.cell(infoTable, 0, rowIndex, "当前价格", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, formatPrice(close) + unrealizedPnL, text_color=pnlColor, text_size=getTableSize(), bgcolor=pnlBgColor) rowIndex += 1 // === 趋势状态与进场价格行 - 蓝紫主题 === trendStatus = na(entryType) ? "待机中" : entryType == "多单" ? "多头执行" : "空头执行" trendIcon = entryType == "多单" ? " ▲" : entryType == "空单" ? " ▼" : " ●" trendBgColor = entryType == "多单" ? color.new(#1a4d1a, 0) : entryType == "空单" ? color.new(#4d1a1a, 0) : color.new(#1a1a4d, 0) trendTextColor = entryType == "多单" ? color.new(#66ff99, 0) : entryType == "空单" ? color.new(#ff6699, 0) : color.new(#9999ff, 0) table.cell(infoTable, 0, rowIndex, "交易状态", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, trendStatus + trendIcon, text_color=trendTextColor, text_size=getTableSize(), bgcolor=trendBgColor) rowIndex += 1 // === 进场价格行 - 蓝紫主题 === table.cell(infoTable, 0, rowIndex, "进场价位", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, formatPrice(entryPrice), text_color=color.new(#ffcc99, 0), text_size=getTableSize(), bgcolor=color.new(#1a1a0d, 0)) rowIndex += 1 // === 多时间框架分析 - 独立行显示 === if showMTF // 多时间框架标题行 table.cell(infoTable, 0, rowIndex, "━━ 多时间框架趋势 ━━", text_color=color.new(#ccccff, 0), text_size=getTableSize(), bgcolor=color.new(#1a0d33, 0)) table.cell(infoTable, 1, rowIndex, "━━━━━━━━━━━━━━━━━━━━", text_color=color.new(#6633ff, 0), text_size=getTableSize(), bgcolor=color.new(#1a0d33, 0)) rowIndex += 1 // 1分钟趋势 if mtfEnable1m = getTrendColor(trend1mDir) trend1mIcon = trend1mDir == "多头倾向" ? " ▲" : trend1mDir == "空头倾向" ? " ▼" : " ●" table.cell(infoTable, 0, rowIndex, "1分钟", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, trend1mDir + trend1mIcon, text_color=trend1mTextColor, text_size=getTableSize(), bgcolor=trend1mBgColor) rowIndex += 1 // 5分钟趋势 if mtfEnable5m = getTrendColor(trend5mDir) trend5mIcon = trend5mDir == "多头倾向" ? " ▲" : trend5mDir == "空头倾向" ? " ▼" : " ●" table.cell(infoTable, 0, rowIndex, "5分钟", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, trend5mDir + trend5mIcon, text_color=trend5mTextColor, text_size=getTableSize(), bgcolor=trend5mBgColor) rowIndex += 1 // 15分钟趋势 if mtfEnable15m = getTrendColor(trend15mDir) trend15mIcon = trend15mDir == "多头倾向" ? " ▲" : trend15mDir == "空头倾向" ? " ▼" : " ●" table.cell(infoTable, 0, rowIndex, "15分钟", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, trend15mDir + trend15mIcon, text_color=trend15mTextColor, text_size=getTableSize(), bgcolor=trend15mBgColor) rowIndex += 1 // 1小时趋势 if mtfEnable1h = getTrendColor(trend1hDir) trend1hIcon = trend1hDir == "多头倾向" ? " ▲" : trend1hDir == "空头倾向" ? " ▼" : " ●" table.cell(infoTable, 0, rowIndex, "1小时", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, trend1hDir + trend1hIcon, text_color=trend1hTextColor, text_size=getTableSize(), bgcolor=trend1hBgColor) rowIndex += 1 // 4小时趋势 if mtfEnable4h = getTrendColor(trend4hDir) trend4hIcon = trend4hDir == "多头倾向" ? " ▲" : trend4hDir == "空头倾向" ? " ▼" : " ●" table.cell(infoTable, 0, rowIndex, "4小时", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, trend4hDir + trend4hIcon, text_color=trend4hTextColor, text_size=getTableSize(), bgcolor=trend4hBgColor) rowIndex += 1 // === RSI 动量状态行 - 蓝紫主题 === rsiTextColor = color.new(#ccccff, 0) rsiBgColor = color.new(#0d0d1a, 0) if rsiStatus == "动量回升" rsiTextColor := color.new(#66ff99, 0) rsiBgColor := color.new(#0d2619, 0) else if rsiStatus == "动量回落" rsiTextColor := color.new(#ff6699, 0) rsiBgColor := color.new(#260d19, 0) else rsiTextColor := color.new(#ffcc99, 0) rsiBgColor := color.new(#1a1a0d, 0) rsiIcon = rsiStatus == "动量回升" ? " ▲" : rsiStatus == "动量回落" ? " ▼" : " ●" rsiDisplayText = rsiStatus + rsiIcon + " (" + str.tostring(rsiValue, "#.#") + ")" table.cell(infoTable, 0, rowIndex, "RSI动量", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, rsiDisplayText, text_color=rsiTextColor, text_size=getTableSize(), bgcolor=rsiBgColor) rowIndex += 1 // === 风险管理分割线 === table.cell(infoTable, 0, rowIndex, "━━ 风险管理 ━━", text_color=color.new(#ccccff, 0), text_size=getTableSize(), bgcolor=color.new(#1a0d33, 0)) table.cell(infoTable, 1, rowIndex, "━━━━━━━━━━━━━━━━━━━━", text_color=color.new(#6633ff, 0), text_size=getTableSize(), bgcolor=color.new(#1a0d33, 0)) rowIndex += 1 // === 止损行 - 蓝紫主题 === slPct = calcStopLossPercentage(entryPrice, stopLoss, entryType) table.cell(infoTable, 0, rowIndex, "止损价位", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, formatPrice(stopLoss) + slPct, text_color=color.new(#ff6699, 0), text_size=getTableSize(), bgcolor=color.new(#330d1a, 0)) rowIndex += 1 // 止盈目标行 if showTargets // === 目标位1 - 蓝紫主题 === tp1Pct = calcTakeProfitPercentage(entryPrice, takeProfit1, entryType) tp1Reached = na(takeProfit1) ? false : (entryType == "多单" ? high >= takeProfit1 : low <= takeProfit1) tp1Icon = tp1Reached ? " ✓" : "" tp1Color = tp1Reached ? color.new(#66ff99, 0) : color.new(#99ccff, 0) tp1BgColor = tp1Reached ? color.new(#0d2619, 0) : color.new(#0d1a26, 0) table.cell(infoTable, 0, rowIndex, "止盈目标1", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, formatPrice(takeProfit1) + tp1Pct + tp1Icon, text_color=tp1Color, text_size=getTableSize(), bgcolor=tp1BgColor) rowIndex += 1 // === 目标2 - 蓝紫主题 === tp2Pct = calcTakeProfitPercentage(entryPrice, takeProfit2, entryType) tp2Reached = na(takeProfit2) ? false : (entryType == "多单" ? high >= takeProfit2 : low <= takeProfit2) tp2Icon = tp2Reached ? " ✓" : "" tp2Color = tp2Reached ? color.new(#66ff99, 0) : color.new(#cc99ff, 0) tp2BgColor = tp2Reached ? color.new(#0d2619, 0) : color.new(#1a0d26, 0) table.cell(infoTable, 0, rowIndex, "止盈目标2", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, formatPrice(takeProfit2) + tp2Pct + tp2Icon, text_color=tp2Color, text_size=getTableSize(), bgcolor=tp2BgColor) rowIndex += 1 // === 盈亏比行 - 蓝紫主题 === if showRatio rrColor = color.new(#9999ff, 0) rrBgColor = color.new(#0d0d1a, 0) if not na(riskRewardRatio) if riskRewardRatio >= 2 rrColor := color.new(#66ff99, 0) rrBgColor := color.new(#0d2619, 0) else if riskRewardRatio >= 1 rrColor := color.new(#ffcc99, 0) rrBgColor := color.new(#1a1a0d, 0) else rrColor := color.new(#ff9966, 0) rrBgColor := color.new(#1a1a0d, 0) table.cell(infoTable, 0, rowIndex, "盈亏比例", text_color=color.new(#b3b3ff, 0), text_size=getTableSize(), bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, riskRewardStr, text_color=rrColor, text_size=getTableSize(), bgcolor=rrBgColor) rowIndex += 1 // === 免责声明行 - 蓝紫主题 === table.cell(infoTable, 0, rowIndex, "⚠ 风险提示", text_color=color.new(#9999ff, 0), text_size=size.small, bgcolor=color.new(#0d0d1a, 0)) table.cell(infoTable, 1, rowIndex, "仅供参考，不构成投资建议，盈亏自负", text_color=color.new(#9999ff, 0), text_size=size.small, bgcolor=color.new(#1a1a4d, 0))
Индикатор Pine Script®
от jesse357159
Stock Relative Strength Rotation Graph🔄 Visualizing Market Rotation & Momentum (Stock RSRG) This tool visualizes the sector rotation of your watchlist on a single graph. Instead of checking 40 different charts, you can see the entire market cycle in one view. It plots Relative Strength (Trend) vs. Momentum (Velocity) to identify which assets are leading the market and which are lagging. 📜 Credits & Disclaimer Original Code: Adapted from the open-source " Relative Strength Scatter Plot " by LuxAlgo. Trademark: This tool is inspired by Relative Rotation Graphs®. Relative Rotation Graphs® is a registered trademark of JOOS Holdings B.V. This script is neither endorsed, nor sponsored, nor affiliated with them. 📊 How It Works (The Math) The script calculates two metrics for every symbol against a benchmark (Default: SPX): X-Axis (RS-Ratio): Is the trend stronger than the benchmark? (>100 = Yes) Y-Axis (RS-Momentum): Is the trend accelerating? (>100 = Yes) 🧩 The 4 Market Quadrants 🟩 Leading (Top-Right): Strong Trend + Accelerating. (Best for holding). 🟦 Improving (Top-Left): Weak Trend + Accelerating. (Best for entries). ⬜ Weakening (Bottom-Right): Strong Trend + Decelerating. (Watch for exits). 🟥 Lagging (Bottom-Left): Weak Trend + Decelerating. (Avoid). ✨ Significant Improvements This open-source version adds unique features not found in standard rotation scripts: 📝 Quick-Input Engine: Paste up to 40 symbols as a single comma-separated list (e.g., NVDA, AMD, TSLA). No more individual input boxes. 🎯 Quadrant Filtering: You can now hide specific quadrants (like "Lagging") to clear the noise and focus only on actionable setups. 🐛 Trajectory Trails: Visualizes the historical path of the rotation so you can see the direction of momentum. 🛠️ How to Use Paste Watchlist: Go to settings and paste your symbols (e.g., US Sectors: XLK, XLF, XLE...). Find Entries: Look for tails moving from Improving ➔ Leading. Find Exits: Be cautious when tails move from Leading ➔ Weakening. Zoom: Use the "Scatter Plot Resolution" setting to zoom in or out if dots are bunched up.
Индикатор Pine Script®
от LOALEX
1
HOKO,PSPHOKO is a multifunctional chart-overlay designed to display clean market context and detect PSP (Price-Structure Projection) signals based on candle-body direction differences between the main symbol and two reference indices. The indicator provides two core features: 1. Header Display (Symbol / Timeframe / Date / Mode System) HOKO allows full customization of on-chart informational headers, including: Symbol name Timeframe (auto-formatted) Indicator name (HOKO) Date (Pretty or Numeric) Multiple layout modes (6 total) Adjustable text size, alignment, padding, row spacing, and screen position Dynamic rendering using table objects This creates a clean and professional display suitable for screenshots, analysis, and multi-chart layouts. 2. PSP Logic (Price Structure Projection) The PSP engine compares the main chart’s candle direction to two reference symbols (default: ES1! and YM1!). A violation occurs when the main candle is bullish while the reference candle is bearish, or vice-versa. The script: Calculates ATR-based dynamic marker offsets Stores the last 3 bars Detects Swing High PSP and Swing Low PSP based on a 3-candle swing structure Confirms signals only if the middle candle contains a violation Draws markers above/below the swing point with fully customizable shapes, colors, and sizes Supports two symbols independently (Symbol 1 / Symbol 2) Automatically deletes old labels based on a user-defined max-bar limit This makes PSP easy to visualize and helps identify inflection points where internal weakness or strength appears before price shifts. Key Features Clean customizable chart header Pretty or numeric date formats Multiple layout modes (vertical or one-line display) PSP detection from ES/YM divergence logic Swing-based confirmation for higher-quality signals Dynamic ATR offset for accurate visual spacing Lightweight and optimized with automatic cleanup Works on any market and any timeframe Purpose HOKO helps traders quickly understand market context while highlighting potential turning points caused by structural divergence between major indices. It is ideal for intraday traders using ICT-style logic, smart money concepts, or divergence-based confirmation models.
Индикатор Pine Script®
от amairvow
YCGH Crypto ultimate Breakout StrategyAdvanced Momentum Breakout Strategy - Optimized for crypto markets, proven effective on equities Core Features: Multi-layered signal generation combining volatility expansion and momentum confirmation​ Adaptive risk management with dynamic stops, profit targets, and trailing mechanisms​ Systematic position sizing with configurable leverage (designed for perpetual/margin trading)​ Volatility regime filters to avoid false breakouts during low-momentum periods​ Optional trend alignment for directional bias confirmation​ Comprehensive backtesting with realistic slippage and commission modeling​ Daily drawdown limits for capital preservation​ Performance: Applicable across multiple timeframes (1H, 4H, Daily)​ Works on both spot and derivatives markets​ Long and short position capability​ Interested in using this strategy? This is a paid service. For access to the complete script and implementation support, email: brijamohanjha@gmail.com
Стратегия Pine Script®
от YCGH_Capital
Jefe ORBOpening Range Breakout (ORB) Indicator — Description The Opening Range Breakout (ORB) Indicator automatically plots the high, low, and midpoint of the opening range for any market and any timeframe. This tool is ideal for intraday traders who rely on the initial price discovery window to identify direction, trend bias, liquidity sweeps, and breakout opportunities. Features include: Custom Opening Range start and end times Opening Range High / Low / Mid lines Optional session shading Alerts for ORH/ORL breaks Works across equities, futures, and crypto This indicator lets traders tailor the ORB to 1m, 5m, 15m, 30m, or custom opening windows depending on their strategy. How to Set the Time Correctly (IMPORTANT) TradingView handles time based on two different factors: The time zone of the chart/exchange The time zone selected inside the indicator settings Your ORB will ONLY plot correctly if your input times match the indicator’s chosen timezone—not your computer’s timezone. Example: Matching NYSE Open While Trading From PST NYSE opens at 9:30 AM Eastern Time In Pacific Time (PST), this is 6:30 AM In UTC, this is 14:30 If your indicator is set to use UTC, you must enter the ORB Start = 14:30 in order for the lines to align with the actual New York session open. This is why, even though you personally trade in PST, you may need to use 14:30 when your chart or your indicator timezone is UTC. Best Practice for Correct ORB Time Inputs Choose your indicator timezone first, then enter the ORB start/end times in THAT zone: If Indicator Timezone = America/New_York Enter 09:30 for the ORB start No conversion needed If Indicator Timezone = America/Los_Angeles (PST) Enter 06:30 for the ORB start Matches NY open automatically If Indicator Timezone = UTC Enter 14:30 for the ORB start This is 9:30 ET converted to UTC The indicator intentionally allows manual timezone control so traders can align the opening range across global markets without depending on the chart's display timezone.
Индикатор Pine Script®
от jeffrdofh
DarkPool FlowDarkPool Flow is a professional-grade technical analysis tool designed to align retail traders with the dominant "smart money" flow. Unlike standard moving average crossovers that often generate false signals during consolidation, this script employs a multi-layered filtering engine to isolate high-probability trends. The core philosophy of this indicator is that Trends are fractal. A sustainable move on a lower timeframe must be supported by momentum on a higher timeframe. By comparing a "Fast Signal Trend" against a "Slow Anchor Trend" (e.g., Daily vs. Weekly), the script identifies the market bias used by institutional algorithms. This edition features a Smart Recovery Engine, ensuring that valid trends are not missed simply because momentum started slowly, and a Dynamic Cloud that visually represents the strength of the trend spread. Key Features 1. Auto-Adaptive Timeframe Logic The script eliminates the guesswork of Multi-Timeframe (MTF) selection. By enabling "Auto-Adapt," the indicator detects your current chart timeframe and automatically maps it to the mathematically correct institutional pairings: Scalping (<15m): Uses 15-Minute Trend vs. 1-Hour Anchor. Day Trading (15m - 1H): Uses 4-Hour Trend vs. Daily Anchor. Swing Trading (4H - Daily): Uses Daily Trend vs. Weekly Anchor (The classic "Golden" setup). Investing (Weekly): Uses 21-Week EMA vs. 50-Week SMA (Bull Market Support Band logic). 2. Smart Recovery Signal Engine Standard crossover scripts often miss major moves if the specific breakout candle has low volume or weak ADX. This script utilizes a state-machine logic that "remembers" the trend direction. If a trend begins during low volatility (gray candles), the script waits. The moment volatility and momentum confirm the move, a Smart Recovery Signal is triggered, allowing you to enter an existing trend safely. 3. Chop Protection (Gray Candles) Preservation of capital is the priority. The script analyzes the Average Directional Index (ADX) and Volatility (ATR). Colored Candles (Green/Red): The market is trending with sufficient strength. Trading is permitted. Gray Candles: The market is in a low-energy chop or consolidation (ADX < 20). Trading is discouraged. 4. Dynamic Trend Cloud The space between the Fast and Slow trends is filled with a dynamic cloud. Darker/Opaque Cloud: Indicates a widening spread, suggesting accelerating momentum. Lighter/Transparent Cloud: Indicates a narrowing spread, suggesting the trend may be weakening or consolidating. 5. Pullback & Retest Signals (+) While triangles mark the start of a trend, the Plus (+) signs mark low-risk opportunities to add to a position. These appear when price dips into the cloud, finds support at the "Fair Value" zone, and closes back in the direction of the trend with confirmed momentum. User Guide & Strategy Setup Add the indicator to your chart. For Beginners: Enable "Auto-Adaptive Timeframes" in the settings. For Advanced Users: Disable Auto-Adapt and manually configure your Fast/Slow pairings (Default is Daily 50 EMA / Weekly 50 EMA). Signal Mode: Choose "First Breakout Only" for a cleaner chart, or "All Signals" if you wish to see re-entry points during choppy starts. Long Entry Criteria (Buy) Trend: The Cloud must be Green (Fast Trend > Slow Trend). Signal: A Green Triangle appears below the bar. Confirmation: The signal candle must not be Gray. Re-Entry: A small Green (+) sign appears, indicating a successful test of the cloud support. Short Entry Criteria (Sell) Trend: The Cloud must be Red (Fast Trend < Slow Trend). Signal: A Red Triangle appears above the bar. Confirmation: The signal candle must not be Gray. Re-Entry: A small Red (+) sign appears, indicating a successful test of the cloud resistance. Stop Loss & Risk Management Stop Loss: A standard institutional stop loss is placed just beyond the Slow Trend Line (the outer edge of the cloud). If price closes beyond the Slow Trend, the macro thesis is invalid. Take Profit: Target liquidity pools or use a trailing stop based on the Fast Trend line. Settings Overview Mode Selection: Toggle between Auto-Adaptive logic or Manual control. Manual Configuration: Define the specific Timeframe, Length, and Type (EMA, SMA, WMA) for both Fast and Slow trends. Signal Logic: Toggle "Show Pullback Signals" on/off. Switch between "First Breakout" or "All Signals." Quality Filters: Toggle individual filters (ATR, RSI, ADX) to adjust sensitivity. Turning these off makes the script more responsive but increases false signals. Visual Style: Customize colors for Bullish, Bearish, and Neutral (Gray) states. Adjust cloud transparency. Disclaimer Risk Warning: Trading financial markets involves a high degree of risk and is not suitable for all investors. You could lose some or all of your initial investment. Educational Use Only: This script and the information provided herein are for educational and informational purposes only. They do not constitute financial advice, investment advice, trading advice, or any other recommendation. No Guarantee: Past performance of any trading system or methodology is not necessarily indicative of future results. The "Institutional Trend" indicator is a tool to assist in technical analysis, not a crystal ball. The creators of this script assume no responsibility or liability for any trading losses or damages incurred as a result of using this tool. Always perform your own due diligence and consult with a qualified financial advisor before making investment decisions.
Индикатор Pine Script®
от DarkPoolCrypto
1
Precision Trade Manager🔥Precision Trade Manager is a complete execution - planning and trade-management system for TradingView. It gives you full control over entry, stop-loss, position sizing, risk %, multi-TP planning (1–5), live tracking, realized profit, floating P&L, RR, and account % change — all directly on your chart. Because this tool has many features and workflows, the TradingView description is too short to explain everything properly. For that reason, please read the two PDF guides below before using the indicator. They explain exactly how the tool works, how to set it up correctly, and how to avoid mistakes when planning or managing trades. 📘 PDF 1 — Quick Start Guide (Read First) drive.google.com This guide explains the core workflow step-by-step: ✔ How to add the tool to the chart ✔ How to configure assets, contract size, account balance, and trading costs ✔ How to set Entry, SL, and your risk % ✔ How to set TP1–TP5 using RR mode or manual mode ✔ How partials work ✔ How LIVE TRACKING mode works ✔ How to reset and prepare your next trade This PDF teaches you the correct operational flow, so you understand how Precision Trade Manager behaves on the chart and why certain features exist. Reading this first prevents confusion and ensures you use the tool correctly. 📙 PDF 2 — Feature Overview & Visual Examples drive.google.com This PDF gives a full breakdown of everything the tool is capable of: ✔ Real-time dashboard metrics (pips, lots, RR, profit, % account) ✔ Partial TP tracking with green checkmarks and locked profit ✔ Floating vs. locked mode ✔ Pip/point/currency conversions across Gold, Forex, Indices, and Crypto ✔ Example charts for US30, EURUSD, and XAUUSD ✔ A direct comparison against the TradingView Long/Short tool This document is visual. It shows real examples of the tool in action so you understand what to expect once you’re using it live on your chart.  It is highly recommended to look through this PDF before your first trade. It will help you understand the dashboard, interpret every metric, and recognize the benefits versus the default TradingView tools. (The tool has many (!) tooltips, hower mouse over each. To get a clear description of what each function/button/box do)
Индикатор Pine Script®
от Menelauss
Periodis ProIntroduction The Algorion Periodis Pro represents a paradigm shift in professional trend analysis. Unlike traditional indicators that force the market to fit into rigid, pre-defined settings (like a 14-period MA), this system allows the market to dictate its own parameters. By combining a Proprietary Anchored Framework with specific temporal resets, Algorion Periodis Pro captures the "natural rhythm" of price action, offering a view of the market that is mathematically synchronized with the current trading session, day, or week. Core Methodology: The "Zero-Parameter" Philosophy The true power of Algorion Periodis Pro lies in its unique approach to signal generation. It does not rely on arbitrary user inputs. Instead, it features two distinct, self-adaptive lines that construct themselves in real-time: 1. The Self-Constructing Inertia Line (Adaptive EMA): This line is not calculated using a fixed lookback period. Instead, it builds itself from the ground up starting at each reset point. It accepts the market’s raw price action as its sole instruction set, naturally deriving its own smoothing coefficients based on the speed and flow of the current trend. It represents the market’s "Inertia." 2. The Proprietary Efficiency Filter: The second line utilizes a highly advanced, parameter-free algorithm. It "listens" to the market's noise and volatility levels to determine its own sensitivity. When price is clean, it tightens; when price is chaotic, it relaxes. The Result: Two lines that are not imposed on the market, but are born from the market. Their interaction reveals the true fair value without the lag caused by human bias. Features & Functionality The "Heartbeat" of Volatility (Heatmap Bands): Standard deviation bands often lag. Algorion Periodis Pro, however, calculates the Accumulated Volatility from the anchor point. These bands represent the "breathing room" the market requires for the current period. Info Box Dashboard: The panel in the corner displays the Base Volatility State. This value (measured in Ticks/Pips/Points) is the precise distance between the Main Line and the first Deviation Band. This is the current "Volatility Unit" of the asset. Dual-Set Chronology: Set 1 (Tactical): Captures the immediate, intraday pulse (Default: 600 Minutes). Set 2 (Strategic): Captures the broader structural intent (Default: Weekly). Smart Confluence Coloring: Bars are painted Green or Red only when a "Council of Factors"—including the slopes of both adaptive lines and internal trend metrics—agree on the direction. This filters out weak, non-committal price action. Strategic Usage: Volatility-Synchronized Trading Because the Deviation Bands are derived from the market's natural volatility accumulation, they serve as the perfect coordinate system for Risk Management: Risk (Stop Loss): Use the Base Volatility Unit (the distance of one band) as your natural stop-loss distance. This places your stop outside the current "noise floor" of the market. Reward (Targets): Target the outer bands. Band 1-2: High-probability scalping targets during standard moves. Band 3+: Targets for expansion moves. Level-to-Level Trading: In a trending market, price often climbs the "ladder" of these bands. A breakout above Band 1 often targets Band 2. When price extends to the outer limits (Band 6 or 7), it often signals a statistical exhaustion, offering a mean-reversion opportunity back to the Main Line. Configuration Main Line Switches: Toggle the Main and Secondary lines On/Off for both sets to suit your visual preference. Reset Frequency: Define the life-cycle of the calculation (Minutes, Daily, Weekly). Confluence Threshold: Adjust the strictness of the Bar Coloring (voting factors). Signal Markers: Toggle discrete Buy/Sell shapes based on the structural trend. Disclaimer This tool is for informational purposes only. The proprietary algorithms contained herein calculate derived values from past price action and cannot predict future market movements with certainty. Past performance is not indicative of future results. Always manage risk.
Индикатор Pine Script®
от AlgorionTechnologies
PRO Trade Manager//@version=5 indicator("PRO Trade Manager", shorttitle="PRO Trade Manager", overlay=false) // ============================================================================ // INPUTS //This code and all related materials are the exclusive property of Trade Confident LLC. Any reproduction, distribution, modification, or unauthorized use of this code, in whole or in part, is strictly prohibited without the express written consent of Trade Confident LLC. Violations may result in civil and/or criminal penalties to the fullest extent of the law. // © Trade Confident LLC. All rights reserved. // ============================================================================ // Moving Average Settings maLength = input.int(15, "Signal Strength", minval=1, tooltip="Length of the moving average to measure deviation from (lower = more sensitive)") maType = "SMA" // Fixed to SMA, no longer user-selectable // Deviation Settings deviationLength = input.int(20, "Deviation Period", minval=1, tooltip="Lookback period for standard deviation calculation") // Signal Frequency dropdown - controls both upper and lower thresholds signalFrequency = input.string("More/Good Accuracy", "Signal Frequency", options= , tooltip="Normal/Highest Accuracy = ±2.0 StdDev | More/Good Accuracy = ±1.5 StdDev | Most/Moderate Accuracy = ±1.0 StdDev") // Set thresholds based on selected frequency upperThreshold = signalFrequency == "Most/Moderate Accuracy" ? 1.0 : signalFrequency == "More/Good Accuracy" ? 1.5 : 2.0 lowerThreshold = signalFrequency == "Most/Moderate Accuracy" ? -1.0 : signalFrequency == "More/Good Accuracy" ? -1.5 : -2.0 // Continuation Signal Settings atrMultiplier = input.float(2.0, "TP/DCA Market Breakout Detection", minval=0, step=0.5, tooltip="Number of ATR moves required to trigger continuation signals (Set to 0 to disable)") // Visual Settings showMA = false // MA display removed from settings showSignals = input.bool(true, "Show Alert Signals", tooltip="Show visual signals when price is overextended") // ============================================================================ // CALCULATIONS // ============================================================================ // Calculate Moving Average based on type ma = switch maType "SMA" => ta.sma(close, maLength) "EMA" => ta.ema(close, maLength) "WMA" => ta.wma(close, maLength) "VWMA" => ta.vwma(close, maLength) => ta.sma(close, maLength) // Calculate deviation from MA deviation = close - ma // Calculate standard deviation stdDev = ta.stdev(close, deviationLength) // Calculate number of standard deviations away from MA deviationScore = stdDev != 0 ? deviation / stdDev : 0 // Smooth the deviation score slightly for cleaner signals smoothedDeviation = ta.ema(deviationScore, 3) // ============================================================================ // SIGNALS // ============================================================================ // Overextended conditions overextendedHigh = smoothedDeviation >= upperThreshold overextendedLow = smoothedDeviation <= lowerThreshold // Signal triggers (crossing into overextended territory) bullishSignal = ta.crossunder(smoothedDeviation, lowerThreshold) bearishSignal = ta.crossover(smoothedDeviation, upperThreshold) // Track if we're in bright histogram zones isBrightGreen = smoothedDeviation <= lowerThreshold isBrightRed = smoothedDeviation >= upperThreshold // Track if we were in bright zone on previous bar wasBrightGreen = smoothedDeviation <= lowerThreshold wasBrightRed = smoothedDeviation >= upperThreshold // Detect oscillator turning up after bright green (buy signal) // Trigger if we were in bright green and oscillator turns up, even if no longer bright green oscillatorTurningUp = smoothedDeviation > smoothedDeviation buySignal = barstate.isconfirmed and wasBrightGreen and oscillatorTurningUp and smoothedDeviation <= smoothedDeviation // Detect oscillator turning down after bright red (sell signal) // Trigger if we were in bright red and oscillator turns down, even if no longer bright red oscillatorTurningDown = smoothedDeviation < smoothedDeviation sellSignal = barstate.isconfirmed and wasBrightRed and oscillatorTurningDown and smoothedDeviation >= smoothedDeviation // ============================================================================ // ATR-BASED CONTINUATION SIGNALS // ============================================================================ // Calculate ATR for distance measurement atrLength = 14 atr = ta.atr(atrLength) // Track price levels when ANY sell or buy signal occurs (original or continuation) var float lastSellPrice = na var float lastBuyPrice = na // Initialize tracking on original signals if sellSignal lastSellPrice := close if buySignal lastBuyPrice := close // Continuation Sell Signal: Price moved up by ATR multiplier from last red dot // Disabled when atrMultiplier is set to 0 continuationSell = atrMultiplier > 0 and barstate.isconfirmed and not na(lastSellPrice) and close >= lastSellPrice + (atrMultiplier * atr) // Continuation Buy Signal: Price moved down by ATR multiplier from last green dot // Disabled when atrMultiplier is set to 0 continuationBuy = atrMultiplier > 0 and barstate.isconfirmed and not na(lastBuyPrice) and close <= lastBuyPrice - (atrMultiplier * atr) // Update reference prices when continuation signals trigger (reset the 3 ATR counter) if continuationSell lastSellPrice := close if continuationBuy lastBuyPrice := close // Combine original and continuation signals for plotting allBuySignals = buySignal or continuationBuy allSellSignals = sellSignal or continuationSell // Track if a signal occurred to keep it visible on dashboard // Signals trigger at barstate.isconfirmed (bar close) var bool showBuyOnDashboard = false var bool showSellOnDashboard = false // Update dashboard flags immediately when signals occur if allBuySignals showBuyOnDashboard := true showSellOnDashboard := false else if allSellSignals showSellOnDashboard := true showBuyOnDashboard := false else if barstate.isconfirmed // Reset flags on bar close if no new signal showBuyOnDashboard := false showSellOnDashboard := false // ============================================================================ // PLOTTING // ============================================================================ // Professional color scheme var color colorBullish = #00C853 // Professional green var color colorBearish = #FF1744 // Professional red var color colorNeutral = #2962FF // Professional blue var color colorGrid = #363A45 // Dark gray for lines var color colorBackground = #1E222D // Chart background // Dynamic line color based on value lineColor = smoothedDeviation > upperThreshold ? colorBearish : smoothedDeviation < lowerThreshold ? colorBullish : smoothedDeviation > 0 ? color.new(colorBearish, 50) : color.new(colorBullish, 50) // Plot the deviation oscillator with dynamic coloring plot(smoothedDeviation, "Deviation Score", color=lineColor, linewidth=2) // Plot zero line hline(0, "Zero Line", color=color.new(colorGrid, 0), linestyle=hline.style_solid, linewidth=1) // Subtle fill for overextended zones (without visible threshold lines) upperLine = hline(upperThreshold, "Upper Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1) lowerLine = hline(lowerThreshold, "Lower Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1) fill(upperLine, hline(3), color=color.new(colorBearish, 95), title="Overextended High Zone") fill(lowerLine, hline(-3), color=color.new(colorBullish, 95), title="Overextended Low Zone") // Histogram style visualization (optional alternative) histogramColor = smoothedDeviation >= upperThreshold ? color.new(colorBearish, 20) : smoothedDeviation <= lowerThreshold ? color.new(colorBullish, 20) : smoothedDeviation > 0 ? color.new(colorBearish, 80) : color.new(colorBullish, 80) plot(smoothedDeviation, "Histogram", color=histogramColor, style=plot.style_histogram, linewidth=3) // ============================================================================ // BUY/SELL SIGNAL MARKERS // ============================================================================ // Plot buy signals at -3.5 level (includes both initial and extended signals) plot(allBuySignals ? -3.5 : na, title="Buy Signal", style=plot.style_circles, color=color.new(colorBullish, 0), linewidth=4) // Plot sell signals at 3.5 level (includes both initial and extended signals) plot(allSellSignals ? 3.5 : na, title="Sell Signal", style=plot.style_circles, color=color.new(colorBearish, 0), linewidth=4) // ============================================================================ // ALERTS - SIMPLIFIED TO ONLY TWO ALERTS // ============================================================================ // Alert 1: Long Entry/Short TP - fires on ANY green dot (original or continuation) alertcondition(allBuySignals, "Long Entry/Short TP", "Long Entry/Short TP") // Alert 2: Long TP/Short Entry - fires on ANY red dot (original or continuation) alertcondition(allSellSignals, "Long TP/Short Entry", "Long TP/Short Entry") // ============================================================================ // DATA DISPLAY // ============================================================================ // Create a professional table for current readings var color tableBgColor = #1a2332 // Dark blue background var table infoTable = table.new(position.middle_right, 2, 2, border_width=1, border_color=color.new(#2962FF, 30), frame_width=1, frame_color=color.new(#2962FF, 30)) if barstate.islast // Determine status statusText = overextendedHigh ? "OVEREXTENDED ↓" : overextendedLow ? "OVEREXTENDED ↑" : smoothedDeviation > 0 ? "Buyers In Control" : "Sellers In Control" statusColor = overextendedHigh ? color.new(colorBearish, 0) : overextendedLow ? color.new(colorBullish, 0) : color.white // Background color for status cell statusBgColor = color.new(tableBgColor, 0) // Status Row table.cell(infoTable, 0, 0, "Status", bgcolor=color.new(tableBgColor, 0), text_color=color.white, text_size=size.normal) table.cell(infoTable, 1, 0, statusText, bgcolor=statusBgColor, text_color=statusColor, text_size=size.normal) // Signal Row - always show table.cell(infoTable, 0, 1, "Signal", bgcolor=color.new(tableBgColor, 0), text_color=color.white, text_size=size.normal) // Show signal if flags are set (will stay visible during the bar) if showBuyOnDashboard or showSellOnDashboard // Green dot (buy signal) = "Long Entry/Short TP" with arrow up, white text on green background // Red dot (sell signal) = "Long TP/Short Entry" with arrow down, white text on red background signalText = showBuyOnDashboard ? "↑ Long Entry/Short TP" : "↓ Long TP/Short Entry" signalColor = showBuyOnDashboard ? color.new(colorBullish, 0) : color.new(colorBearish, 0) table.cell(infoTable, 1, 1, signalText, bgcolor=signalColor, text_color=color.white, text_size=size.normal) else table.cell(infoTable, 1, 1, "Watching...", bgcolor=color.new(tableBgColor, 0), text_color=color.new(color.white, 60), text_size=size.normal)
Индикатор Pine Script®
от gyslainrastel