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ST – ATR Guides + Midline [Soothing Trades]Short Description A clean EMA midline with two ATR-based guides above and below price. Use the midline for trend bias and the ATR rails as a dynamic structure for entries, exits, and stop placement on any market or timeframe. Full Description What this indicator is ST – ATR Guides + Midline is a small, focused engine for trend bias and volatility-aware risk management. It gives you: • One midline (EMA-based) for objective trend direction. • Two ATR guides (long and short) that expand and contract with volatility. Together, the three lines form a simple "rail system" you can build your trading framework on. Core logic • An EMA is calculated on a user-selectable price source and used as the midline. • ATR is computed to measure current volatility. • Two guides are plotted at a configurable ATR distance above and below the midline: • The lower line acts as the long guide. • The upper line acts as the short guide. • The band between the guides adapts automatically to changing volatility conditions. Inputs & customization • Signal Source – Choose which price the EMA midline should be built from. • Fast EMA – Controls how responsive or smooth the midline is. • Show Midline – Option to hide the midline if you only want to see the guides. • Midline style – Color and line width for the midline. • ATR settings – ATR lookback and multiplier to control the size of the band. • Guide style – Individual colors and widths for the long and short guides. All parameters can be tuned directly in the TradingView settings panel. Practical use cases • Define trend bias at a glance. • Build a rule-based stop placement framework around ATR instead of arbitrary distances. • Use the guides as dynamic trailing rails for winning positions. • Identify "healthy" pullback regions in a trend. • Frame your existing entry signals (price action, volume, order flow, etc.) inside a clear volatility structure. Notes & disclaimer This is not an automatic signal generator. It is a structural tool meant to support discretionary analysis and systematic frameworks. Always test any idea thoroughly (backtests, forward tests, demo trading) before using it live. Nothing in this script or description is financial advice. Trading involves risk, and you are solely responsible for your own decisions and performance.
אינדיקטור Pine Script®
מאת ‎SOOTHING_TRADES‎
Asymmetric Market Momentum Channel█ OVERVIEW "Asymmetric Market Momentum Channel" is a dynamic channel indicator that adjusts its width based on the actual strength and asymmetry of market momentum. Thanks to the asymmetric band expansion triggered by strong candles, it significantly reduces false breakouts while remaining highly sensitive to genuine moves. █ CONCEPTS Traditional volatility channels react too slowly or too uniformly. This indicator introduces asymmetry: - After a strong bullish candle with a large body and long upper wick, the upper band is pushed much farther than the lower one. - After a strong bearish candle, the lower band expands more. As a result, the channel "remembers" the direction of the last real momentum. - With wide bands (default base_scale 200+), it excels in contrarian (reversal) strategies – price tends to return to the midline, producing clean reversal signals. - With narrow bands (base_scale set to 100–150), it behaves like a sensitive breakout channel – breakouts from a tight channel deliver very high-quality trend-continuation signals. █ FEATURES Fully adjustable asymmetric momentum channel: - length – SMA period for midline and average range (default 30) - base_scale – base channel width in % of average candle range (default 200%) - strength – asymmetry intensity (higher = stronger expansion after powerful candles) - smooth_len – EMA smoothing of the expansion (default 10) Visualization: - Upper band – red, lower band – green - Midline SMA – gray - Gradient background fill (enabled by default) – red above midline, green below; intensity controlled by Background Intensity (85 = strong, 95 = very subtle) Signal modes: - Contrarian (Reversal) – reversal signals on price returning inside the channel after exceeding it + confirming candle color - Trend Continuation (Breakout) – classic breakout signals (recommended to lower base_scale to 100–150 for faster triggers) - Both – displays both types simultaneously Visual signals: - Small green triangles below the bar → bullish signal - Small red triangles above the bar → bearish signal Alerts: Bullish Signal, Bearish Signal, Any Signal, Breakout Up, Breakout Down █ HOW TO USE Add the indicator to your TradingView chart and adjust the settings: Key parameter: - base_scale – defines the indicator’s character: → 200–300% → wide channel → Contrarian (reversal) mode → 100–150% → narrow channel → Trend Continuation (breakout) mode - strength (default 1.0) - length (30) – higher values = smoother, more trend-following behavior smooth_len (10) – lower values = faster reaction to new momentum Interpretation: - Wide channel (base_scale ≥ 200) + Contrarian mode → mean-reversion trading - Narrow channel (base_scale 100–150) + Breakout mode → aggressive trend-following on breakouts - Both mode works universally – simply change base_scale to completely switch the indicator’s behavior █ APPLICATIONS - Scalping & daytrading – narrow channel + Breakout mode on 5–15 min - Swing trading – narrow or wide channel + Both mode on H1–D1 - Mean-reversion – wide channel + Contrarian mode - Trend filter – longs only above midline, shorts only below █ NOTES - In very strong one-sided trends, contrarian signals generate many false entries – switch exclusively to Trend Continuation (Breakout) mode with a narrow channel. - Best performance on instruments with clear volatility and volume. - Always match base_scale to your strategy (wide = reversal, narrow = breakout). - Combining with volume, support/resistance levels, or indicators like MACD/RSI dramatically improves signal quality.
אינדיקטור Pine Script®
מאת ‎Uncle_the_shooter‎
Kripto Fema ind/ This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Femayakup //@version=5 indicator(title = "Kripto Fema ind", shorttitle="Kripto Fema ind", overlay=true, format=format.price, precision=2,max_lines_count = 500, max_labels_count = 500, max_bars_back=500) showEma200 = input(true, title="EMA 200") showPmax = input(true, title="Pmax") showLinreg = input(true, title="Linreg") showMavilim = input(true, title="Mavilim") showNadaray = input(true, title="Nadaraya Watson") ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) //Ema200 timeFrame = input.timeframe(defval = '240',title= 'EMA200 TimeFrame',group = 'EMA200 Settings') len200 = input.int(200, minval=1, title="Length",group = 'EMA200 Settings') src200 = input(close, title="Source",group = 'EMA200 Settings') offset200 = input.int(title="Offset", defval=0, minval=-500, maxval=500,group = 'EMA200 Settings') out200 = ta.ema(src200, len200) higherTimeFrame = request.security(syminfo.tickerid,timeFrame,out200 ,barmerge.gaps_on,barmerge.lookahead_on) ema200Plot = showEma200 ? higherTimeFrame : na plot(ema200Plot, title="EMA200", offset=offset200) //Linreq group1 = "Linreg Settings" lengthInput = input.int(100, title="Length", minval = 1, maxval = 5000,group = group1) sourceInput = input.source(close, title="Source") useUpperDevInput = input.bool(true, title="Upper Deviation", inline = "Upper Deviation", group = group1) upperMultInput = input.float(2.0, title="", inline = "Upper Deviation", group = group1) useLowerDevInput = input.bool(true, title="Lower Deviation", inline = "Lower Deviation", group = group1) lowerMultInput = input.float(2.0, title="", inline = "Lower Deviation", group = group1) group2 = "Linreg Display Settings" showPearsonInput = input.bool(true, "Show Pearson's R", group = group2) extendLeftInput = input.bool(false, "Extend Lines Left", group = group2) extendRightInput = input.bool(true, "Extend Lines Right", group = group2) extendStyle = switch extendLeftInput and extendRightInput => extend.both extendLeftInput => extend.left extendRightInput => extend.right => extend.none group3 = "Linreg Color Settings" colorUpper = input.color(color.new(color.blue, 85), "Linreg Renk", inline = group3, group = group3) colorLower = input.color(color.new(color.red, 85), "", inline = group3, group = group3) calcSlope(source, length) => max_bars_back(source, 5000) if not barstate.islast or length <= 1 else sumX = 0.0 sumY = 0.0 sumXSqr = 0.0 sumXY = 0.0 for i = 0 to length - 1 by 1 val = source per = i + 1.0 sumX += per sumY += val sumXSqr += per * per sumXY += val * per slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX) average = sumY / length intercept = average - slope * sumX / length + slope = calcSlope(sourceInput, lengthInput) startPrice = i + s * (lengthInput - 1) endPrice = i var line baseLine = na if na(baseLine) and not na(startPrice) and showLinreg baseLine := line.new(bar_index - lengthInput + 1, startPrice, bar_index, endPrice, width=1, extend=extendStyle, color=color.new(colorLower, 0)) else line.set_xy1(baseLine, bar_index - lengthInput + 1, startPrice) line.set_xy2(baseLine, bar_index, endPrice) na calcDev(source, length, slope, average, intercept) => upDev = 0.0 dnDev = 0.0 stdDevAcc = 0.0 dsxx = 0.0 dsyy = 0.0 dsxy = 0.0 periods = length - 1 daY = intercept + slope * periods / 2 val = intercept for j = 0 to periods by 1 price = high - val if price > upDev upDev := price price := val - low if price > dnDev dnDev := price price := source dxt = price - average dyt = val - daY price -= val stdDevAcc += price * price dsxx += dxt * dxt dsyy += dyt * dyt dsxy += dxt * dyt val += slope stdDev = math.sqrt(stdDevAcc / (periods == 0 ? 1 : periods)) pearsonR = dsxx == 0 or dsyy == 0 ? 0 : dsxy / math.sqrt(dsxx * dsyy) = calcDev(sourceInput, lengthInput, s, a, i) upperStartPrice = startPrice + (useUpperDevInput ? upperMultInput * stdDev : upDev) upperEndPrice = endPrice + (useUpperDevInput ? upperMultInput * stdDev : upDev) var line upper = na lowerStartPrice = startPrice + (useLowerDevInput ? -lowerMultInput * stdDev : -dnDev) lowerEndPrice = endPrice + (useLowerDevInput ? -lowerMultInput * stdDev : -dnDev) var line lower = na if na(upper) and not na(upperStartPrice) and showLinreg upper := line.new(bar_index - lengthInput + 1, upperStartPrice, bar_index, upperEndPrice, width=1, extend=extendStyle, color=color.new(colorUpper, 0)) else line.set_xy1(upper, bar_index - lengthInput + 1, upperStartPrice) line.set_xy2(upper, bar_index, upperEndPrice) na if na(lower) and not na(lowerStartPrice) and showLinreg lower := line.new(bar_index - lengthInput + 1, lowerStartPrice, bar_index, lowerEndPrice, width=1, extend=extendStyle, color=color.new(colorUpper, 0)) else line.set_xy1(lower, bar_index - lengthInput + 1, lowerStartPrice) line.set_xy2(lower, bar_index, lowerEndPrice) na showLinregPlotUpper = showLinreg ? upper : na showLinregPlotLower = showLinreg ? lower : na showLinregPlotBaseLine = showLinreg ? baseLine : na linefill.new(showLinregPlotUpper, showLinregPlotBaseLine, color = colorUpper) linefill.new(showLinregPlotBaseLine, showLinregPlotLower, color = colorLower) // Pearson's R var label r = na label.delete(r ) if showPearsonInput and not na(pearsonR) and showLinreg r := label.new(bar_index - lengthInput + 1, lowerStartPrice, str.tostring(pearsonR, "#.################"), color = color.new(color.white, 100), textcolor=color.new(colorUpper, 0), size=size.normal, style=label.style_label_up) //Mavilim group4 = "Mavilim Settings" mavilimold = input(false, title="Show Previous Version of MavilimW?",group=group4) fmal=input(3,"First Moving Average length",group = group4) smal=input(5,"Second Moving Average length",group = group4) tmal=fmal+smal Fmal=smal+tmal Ftmal=tmal+Fmal Smal=Fmal+Ftmal M1= ta.wma(close, fmal) M2= ta.wma(M1, smal) M3= ta.wma(M2, tmal) M4= ta.wma(M3, Fmal) M5= ta.wma(M4, Ftmal) MAVW= ta.wma(M5, Smal) col1= MAVW>MAVW col3= MAVWpmaxsrc ? pmaxsrc-pmaxsrc : 0 vdd1=pmaxsrc ma = 0.0 if mav == "SMA" ma := ta.sma(pmaxsrc, length) ma if mav == "EMA" ma := ta.ema(pmaxsrc, length) ma if mav == "WMA" ma := ta.wma(pmaxsrc, length) ma if mav == "TMA" ma := ta.sma(ta.sma(pmaxsrc, math.ceil(length / 2)), math.floor(length / 2) + 1) ma if mav == "VAR" ma := VAR ma if mav == "WWMA" ma := WWMA ma if mav == "ZLEMA" ma := ZLEMA ma if mav == "TSF" ma := TSF ma ma MAvg=getMA(pmaxsrc, length) longStop = Normalize ? MAvg - Multiplier*atr/close : MAvg - Multiplier*atr longStopPrev = nz(longStop , longStop) longStop := MAvg > longStopPrev ? math.max(longStop, longStopPrev) : longStop shortStop = Normalize ? MAvg + Multiplier*atr/close : MAvg + Multiplier*atr shortStopPrev = nz(shortStop , shortStop) shortStop := MAvg < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop dir = 1 dir := nz(dir , dir) dir := dir == -1 and MAvg > shortStopPrev ? 1 : dir == 1 and MAvg < longStopPrev ? -1 : dir PMax = dir==1 ? longStop: shortStop plot(showsupport ? MAvg : na, color=#fbff04, linewidth=2, title="EMA9") pALL=plot(PMax, color=color.new(color.red, transp = 0), linewidth=2, title="PMax") alertcondition(ta.cross(MAvg, PMax), title="Cross Alert", message="PMax - Moving Avg Crossing!") alertcondition(ta.crossover(MAvg, PMax), title="Crossover Alarm", message="Moving Avg BUY SIGNAL!") alertcondition(ta.crossunder(MAvg, PMax), title="Crossunder Alarm", message="Moving Avg SELL SIGNAL!") alertcondition(ta.cross(pmaxsrc, PMax), title="Price Cross Alert", message="PMax - Price Crossing!") alertcondition(ta.crossover(pmaxsrc, PMax), title="Price Crossover Alarm", message="PRICE OVER PMax - BUY SIGNAL!") alertcondition(ta.crossunder(pmaxsrc, PMax), title="Price Crossunder Alarm", message="PRICE UNDER PMax - SELL SIGNAL!") buySignalk = ta.crossover(MAvg, PMax) plotshape(buySignalk and showsignalsk ? PMax*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(color.green, transp = 0), textcolor=color.white) sellSignallk = ta.crossunder(MAvg, PMax) plotshape(sellSignallk and showsignalsk ? PMax*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.red, transp = 0), textcolor=color.white) // buySignalc = ta.crossover(pmaxsrc, PMax) // plotshape(buySignalc and showsignalsc ? PMax*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=#0F18BF, textcolor=color.white) // sellSignallc = ta.crossunder(pmaxsrc, PMax) // plotshape(sellSignallc and showsignalsc ? PMax*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=#0F18BF, textcolor=color.white) // mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0,display=display.none) longFillColor = highlighting ? (MAvg>PMax ? color.new(color.green, transp = 90) : na) : na shortFillColor = highlighting ? (MAvg math.exp(-(math.pow(x, 2)/(h * h * 2))) //-----------------------------------------------------------------------------} //Append lines //-----------------------------------------------------------------------------{ n = bar_index var ln = array.new_line(0) if barstate.isfirst and repaint for i = 0 to 499 array.push(ln,line.new(na,na,na,na)) //-----------------------------------------------------------------------------} //End point method //-----------------------------------------------------------------------------{ var coefs = array.new_float(0) var den = 0. if barstate.isfirst and not repaint for i = 0 to 499 w = gauss(i, h) coefs.push(w) den := coefs.sum() out = 0. if not repaint for i = 0 to 499 out += src * coefs.get(i) out /= den mae = ta.sma(math.abs(src - out), 499) * mult upperN = out + mae lowerN = out - mae //-----------------------------------------------------------------------------} //Compute and display NWE //-----------------------------------------------------------------------------{ float y2 = na float y1 = na nwe = array.new(0) if barstate.islast and repaint sae = 0. //Compute and set NWE point for i = 0 to math.min(499,n - 1) sum = 0. sumw = 0. //Compute weighted mean for j = 0 to math.min(499,n - 1) w = gauss(i - j, h) sum += src * w sumw += w y2 := sum / sumw sae += math.abs(src - y2) nwe.push(y2) sae := sae / math.min(499,n - 1) * mult for i = 0 to math.min(499,n - 1) if i%2 and showNadaray line.new(n-i+1, y1 + sae, n-i, nwe.get(i) + sae, color = upCss) line.new(n-i+1, y1 - sae, n-i, nwe.get(i) - sae, color = dnCss) if src > nwe.get(i) + sae and src < nwe.get(i) + sae and showNadaray label.new(n-i, src , '▼', color = color(na), style = label.style_label_down, textcolor = dnCss, textalign = text.align_center) if src < nwe.get(i) - sae and src > nwe.get(i) - sae and showNadaray label.new(n-i, src , '▲', color = color(na), style = label.style_label_up, textcolor = upCss, textalign = text.align_center) y1 := nwe.get(i) //-----------------------------------------------------------------------------} //Dashboard //-----------------------------------------------------------------------------{ var tb = table.new(position.top_right, 1, 1 , bgcolor = #1e222d , border_color = #373a46 , border_width = 1 , frame_color = #373a46 , frame_width = 1) if repaint tb.cell(0, 0, 'Repainting Mode Enabled', text_color = color.white, text_size = size.small) //-----------------------------------------------------------------------------} //Plot //-----------------------------------------------------------------------------} // plot(repaint ? na : out + mae, 'Upper', upCss) // plot(repaint ? na : out - mae, 'Lower', dnCss) //Crossing Arrows // plotshape(ta.crossunder(close, out - mae) ? low : na, "Crossunder", shape.labelup, location.absolute, color(na), 0 , text = '▲', textcolor = upCss, size = size.tiny) // plotshape(ta.crossover(close, out + mae) ? high : na, "Crossover", shape.labeldown, location.absolute, color(na), 0 , text = '▼', textcolor = dnCss, size = size.tiny) //-----------------------------------------------------------------------------} ////////////////////////////////////////////////////////////////////////////////// enableD = input (true, "DIVERGANCE ON/OFF" , group="INDICATORS ON/OFF") //DIVERGANCE prd1 = input.int (defval=5 , title='PIVOT PERIOD' , minval=1, maxval=50 , group="DIVERGANCE") source = input.string(defval='HIGH/LOW' , title='SOURCE FOR PIVOT POINTS' , options= , group="DIVERGANCE") searchdiv = input.string(defval='REGULAR/HIDDEN', title='DIVERGANCE TYPE' , options= , group="DIVERGANCE") showindis = input.string(defval='FULL' , title='SHOW INDICATORS NAME' , options= , group="DIVERGANCE") showlimit = input.int(1 , title='MINIMUM NUMBER OF DIVERGANCES', minval=1, maxval=11 , group="DIVERGANCE") maxpp = input.int (defval=20 , title='MAXIMUM PIVOT POINTS TO CHECK', minval=1, maxval=20 , group="DIVERGANCE") maxbars = input.int (defval=200 , title='MAXIMUM BARS TO CHECK' , minval=30, maxval=200 , group="DIVERGANCE") showlast = input (defval=false , title='SHOW ONLY LAST DIVERGANCE' , group="DIVERGANCE") dontconfirm = input (defval=false , title="DON'T WAIT FOR CONFORMATION" , group="DIVERGANCE") showlines = input (defval=false , title='SHOW DIVERGANCE LINES' , group="DIVERGANCE") showpivot = input (defval=false , title='SHOW PIVOT POINTS' , group="DIVERGANCE") calcmacd = input (defval=true , title='MACD' , group="DIVERGANCE") calcmacda = input (defval=true , title='MACD HISTOGRAM' , group="DIVERGANCE") calcrsi = input (defval=true , title='RSI' , group="DIVERGANCE") calcstoc = input (defval=true , title='STOCHASTIC' , group="DIVERGANCE") calccci = input (defval=true , title='CCI' , group="DIVERGANCE") calcmom = input (defval=true , title='MOMENTUM' , group="DIVERGANCE") calcobv = input (defval=true , title='OBV' , group="DIVERGANCE") calcvwmacd = input (true , title='VWMACD' , group="DIVERGANCE") calccmf = input (true , title='CHAIKIN MONEY FLOW' , group="DIVERGANCE") calcmfi = input (true , title='MONEY FLOW INDEX' , group="DIVERGANCE") calcext = input (false , title='CHECK EXTERNAL INDICATOR' , group="DIVERGANCE") externalindi = input (defval=close , title='EXTERNAL INDICATOR' , group="DIVERGANCE") pos_reg_div_col = input (defval=#ffffff , title='POSITIVE REGULAR DIVERGANCE' , group="DIVERGANCE") neg_reg_div_col = input (defval=#00def6 , title='NEGATIVE REGULAR DIVERGANCE' , group="DIVERGANCE") pos_hid_div_col = input (defval=#00ff0a , title='POSITIVE HIDDEN DIVERGANCE' , group="DIVERGANCE") neg_hid_div_col = input (defval=#ff0015 , title='NEGATIVE HIDDEN DIVERGANCE' , group="DIVERGANCE") reg_div_l_style_ = input.string(defval='SOLID' , title='REGULAR DIVERGANCE LINESTYLE' , options= , group="DIVERGANCE") hid_div_l_style_ = input.string(defval='SOLID' , title='HIDDEN DIVERGANCE LINESTYLE' , options= , group="DIVERGANCE") reg_div_l_width = input.int (defval=2 , title='REGULAR DIVERGANCE LINEWIDTH' , minval=1, maxval=5 , group="DIVERGANCE") hid_div_l_width = input.int (defval=2 , title='HIDDEN DIVERGANCE LINEWIDTH' , minval=1, maxval=5 , group="DIVERGANCE") showmas = input.bool (defval=false , title='SHOW MOVING AVERAGES (50 & 200)', inline='MA' , group="DIVERGANCE") cma1col = input.color (defval=#ffffff , title='' , inline='MA' , group="DIVERGANCE") cma2col = input.color (defval=#00def6 , title='' , inline='MA' , group="DIVERGANCE") //PLOTS plot(showmas ? ta.sma(close, 50) : na, color=showmas ? cma1col : na) plot(showmas ? ta.sma(close, 200) : na, color=showmas ? cma2col : na) var reg_div_l_style = reg_div_l_style_ == 'SOLID' ? line.style_solid : reg_div_l_style_ == 'DASHED' ? line.style_dashed : line.style_dotted var hid_div_l_style = hid_div_l_style_ == 'SOLID' ? line.style_solid : hid_div_l_style_ == 'DASHED' ? line.style_dashed : line.style_dotted rsi = ta.rsi(close, 14) = ta.macd(close, 12, 26, 9) moment = ta.mom(close, 10) cci = ta.cci(close, 10) Obv = ta.obv stk = ta.sma(ta.stoch(close, high, low, 14), 3) maFast = ta.vwma(close, 12) maSlow = ta.vwma(close, 26) vwmacd = maFast - maSlow Cmfm = (close - low - (high - close)) / (high - low) Cmfv = Cmfm * volume cmf = ta.sma(Cmfv, 21) / ta.sma(volume, 21) Mfi = ta.mfi(close, 14) var indicators_name = array.new_string(11) var div_colors = array.new_color(4) if barstate.isfirst and enableD array.set(indicators_name, 0, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 1, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 2, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 3, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 4, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 5, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 6, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 7, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 8, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 9, showindis == "DON'T SHOW" ? '' : '') array.set(indicators_name, 10, showindis == "DON'T SHOW" ? '' : '') array.set(div_colors, 0, pos_reg_div_col) array.set(div_colors, 1, neg_reg_div_col) array.set(div_colors, 2, pos_hid_div_col) array.set(div_colors, 3, neg_hid_div_col) float ph1 = ta.pivothigh(source == 'CLOSE' ? close : high, prd1, prd1) float pl1 = ta.pivotlow(source == 'CLOSE' ? close : low, prd1, prd1) plotshape(ph1 and showpivot, text='H', style=shape.labeldown, color=color.new(color.white, 100), textcolor=#00def6, location=location.abovebar, offset=-prd1) plotshape(pl1 and showpivot, text='L', style=shape.labelup, color=color.new(color.white, 100), textcolor=#ffffff, location=location.belowbar, offset=-prd1) var int maxarraysize = 20 var ph_positions = array.new_int(maxarraysize, 0) var pl_positions = array.new_int(maxarraysize, 0) var ph_vals = array.new_float(maxarraysize, 0.) var pl_vals = array.new_float(maxarraysize, 0.) if ph1 array.unshift(ph_positions, bar_index) array.unshift(ph_vals, ph1) if array.size(ph_positions) > maxarraysize array.pop(ph_positions) array.pop(ph_vals) if pl1 array.unshift(pl_positions, bar_index) array.unshift(pl_vals, pl1) if array.size(pl_positions) > maxarraysize array.pop(pl_positions) array.pop(pl_vals) positive_regular_positive_hidden_divergence(src, cond) => divlen = 0 prsc = source == 'CLOSE' ? close : low if dontconfirm or src > src or close > close startpoint = dontconfirm ? 0 : 1 for x = 0 to maxpp - 1 by 1 len = bar_index - array.get(pl_positions, x) + prd1 if array.get(pl_positions, x) == 0 or len > maxbars break if len > 5 and (cond == 1 and src > src and prsc < nz(array.get(pl_vals, x)) or cond == 2 and src < src and prsc > nz(array.get(pl_vals, x))) slope1 = (src - src ) / (len - startpoint) virtual_line1 = src - slope1 slope2 = (close - close ) / (len - startpoint) virtual_line2 = close - slope2 arrived = true for y = 1 + startpoint to len - 1 by 1 if src < virtual_line1 or nz(close ) < virtual_line2 arrived := false break virtual_line1 -= slope1 virtual_line2 -= slope2 virtual_line2 if arrived divlen := len break divlen negative_regular_negative_hidden_divergence(src, cond) => divlen = 0 prsc = source == 'CLOSE' ? close : high if dontconfirm or src < src or close < close startpoint = dontconfirm ? 0 : 1 for x = 0 to maxpp - 1 by 1 len = bar_index - array.get(ph_positions, x) + prd1 if array.get(ph_positions, x) == 0 or len > maxbars break if len > 5 and (cond == 1 and src < src and prsc > nz(array.get(ph_vals, x)) or cond == 2 and src > src and prsc < nz(array.get(ph_vals, x))) slope1 = (src - src ) / (len - startpoint) virtual_line1 = src - slope1 slope2 = (close - nz(close )) / (len - startpoint) virtual_line2 = close - slope2 arrived = true for y = 1 + startpoint to len - 1 by 1 if src > virtual_line1 or nz(close ) > virtual_line2 arrived := false break virtual_line1 -= slope1 virtual_line2 -= slope2 virtual_line2 if arrived divlen := len break divlen //CALCULATIONS calculate_divs(cond, indicator_1) => divs = array.new_int(4, 0) array.set(divs, 0, cond and (searchdiv == 'REGULAR' or searchdiv == 'REGULAR/HIDDEN') ? positive_regular_positive_hidden_divergence(indicator_1, 1) : 0) array.set(divs, 1, cond and (searchdiv == 'REGULAR' or searchdiv == 'REGULAR/HIDDEN') ? negative_regular_negative_hidden_divergence(indicator_1, 1) : 0) array.set(divs, 2, cond and (searchdiv == 'HIDDEN' or searchdiv == 'REGULAR/HIDDEN') ? positive_regular_positive_hidden_divergence(indicator_1, 2) : 0) array.set(divs, 3, cond and (searchdiv == 'HIDDEN' or searchdiv == 'REGULAR/HIDDEN') ? negative_regular_negative_hidden_divergence(indicator_1, 2) : 0) divs var all_divergences = array.new_int(44) array_set_divs(div_pointer, index) => for x = 0 to 3 by 1 array.set(all_divergences, index * 4 + x, array.get(div_pointer, x)) array_set_divs(calculate_divs(calcmacd , macd) , 0) array_set_divs(calculate_divs(calcmacda , deltamacd) , 1) array_set_divs(calculate_divs(calcrsi , rsi) , 2) array_set_divs(calculate_divs(calcstoc , stk) , 3) array_set_divs(calculate_divs(calccci , cci) , 4) array_set_divs(calculate_divs(calcmom , moment) , 5) array_set_divs(calculate_divs(calcobv , Obv) , 6) array_set_divs(calculate_divs(calcvwmacd, vwmacd) , 7) array_set_divs(calculate_divs(calccmf , cmf) , 8) array_set_divs(calculate_divs(calcmfi , Mfi) , 9) array_set_divs(calculate_divs(calcext , externalindi), 10) total_div = 0 for x = 0 to array.size(all_divergences) - 1 by 1 total_div += math.round(math.sign(array.get(all_divergences, x))) total_div if total_div < showlimit array.fill(all_divergences, 0) var pos_div_lines = array.new_line(0) var neg_div_lines = array.new_line(0) var pos_div_labels = array.new_label(0) var neg_div_labels = array.new_label(0) delete_old_pos_div_lines() => if array.size(pos_div_lines) > 0 for j = 0 to array.size(pos_div_lines) - 1 by 1 line.delete(array.get(pos_div_lines, j)) array.clear(pos_div_lines) delete_old_neg_div_lines() => if array.size(neg_div_lines) > 0 for j = 0 to array.size(neg_div_lines) - 1 by 1 line.delete(array.get(neg_div_lines, j)) array.clear(neg_div_lines) delete_old_pos_div_labels() => if array.size(pos_div_labels) > 0 for j = 0 to array.size(pos_div_labels) - 1 by 1 label.delete(array.get(pos_div_labels, j)) array.clear(pos_div_labels) delete_old_neg_div_labels() => if array.size(neg_div_labels) > 0 for j = 0 to array.size(neg_div_labels) - 1 by 1 label.delete(array.get(neg_div_labels, j)) array.clear(neg_div_labels) delete_last_pos_div_lines_label(n) => if n > 0 and array.size(pos_div_lines) >= n asz = array.size(pos_div_lines) for j = 1 to n by 1 line.delete(array.get(pos_div_lines, asz - j)) array.pop(pos_div_lines) if array.size(pos_div_labels) > 0 label.delete(array.get(pos_div_labels, array.size(pos_div_labels) - 1)) array.pop(pos_div_labels) delete_last_neg_div_lines_label(n) => if n > 0 and array.size(neg_div_lines) >= n asz = array.size(neg_div_lines) for j = 1 to n by 1 line.delete(array.get(neg_div_lines, asz - j)) array.pop(neg_div_lines) if array.size(neg_div_labels) > 0 label.delete(array.get(neg_div_labels, array.size(neg_div_labels) - 1)) array.pop(neg_div_labels) pos_reg_div_detected = false neg_reg_div_detected = false pos_hid_div_detected = false neg_hid_div_detected = false var last_pos_div_lines = 0 var last_neg_div_lines = 0 var remove_last_pos_divs = false var remove_last_neg_divs = false if pl1 remove_last_pos_divs := false last_pos_div_lines := 0 last_pos_div_lines if ph1 remove_last_neg_divs := false last_neg_div_lines := 0 last_neg_div_lines divergence_text_top = '' divergence_text_bottom = '' distances = array.new_int(0) dnumdiv_top = 0 dnumdiv_bottom = 0 top_label_col = color.white bottom_label_col = color.white old_pos_divs_can_be_removed = true old_neg_divs_can_be_removed = true startpoint = dontconfirm ? 0 : 1 for x = 0 to 10 by 1 div_type = -1 for y = 0 to 3 by 1 if array.get(all_divergences, x * 4 + y) > 0 div_type := y if y % 2 == 1 dnumdiv_top += 1 top_label_col := array.get(div_colors, y) top_label_col if y % 2 == 0 dnumdiv_bottom += 1 bottom_label_col := array.get(div_colors, y) bottom_label_col if not array.includes(distances, array.get(all_divergences, x * 4 + y)) array.push(distances, array.get(all_divergences, x * 4 + y)) new_line = showlines ? line.new(x1=bar_index - array.get(all_divergences, x * 4 + y), y1=source == 'CLOSE' ? close : y % 2 == 0 ? low : high , x2=bar_index - startpoint, y2=source == 'CLOSE' ? close : y % 2 == 0 ? low : high , color=array.get(div_colors, y), style=y < 2 ? reg_div_l_style : hid_div_l_style, width=y < 2 ? reg_div_l_width : hid_div_l_width) : na if y % 2 == 0 if old_pos_divs_can_be_removed old_pos_divs_can_be_removed := false if not showlast and remove_last_pos_divs delete_last_pos_div_lines_label(last_pos_div_lines) last_pos_div_lines := 0 last_pos_div_lines if showlast delete_old_pos_div_lines() array.push(pos_div_lines, new_line) last_pos_div_lines += 1 remove_last_pos_divs := true remove_last_pos_divs if y % 2 == 1 if old_neg_divs_can_be_removed old_neg_divs_can_be_removed := false if not showlast and remove_last_neg_divs delete_last_neg_div_lines_label(last_neg_div_lines) last_neg_div_lines := 0 last_neg_div_lines if showlast delete_old_neg_div_lines() array.push(neg_div_lines, new_line) last_neg_div_lines += 1 remove_last_neg_divs := true remove_last_neg_divs if y == 0 pos_reg_div_detected := true pos_reg_div_detected if y == 1 neg_reg_div_detected := true neg_reg_div_detected if y == 2 pos_hid_div_detected := true pos_hid_div_detected if y == 3 neg_hid_div_detected := true neg_hid_div_detected if div_type >= 0 divergence_text_top += (div_type % 2 == 1 ? showindis != "DON'T SHOW" ? array.get(indicators_name, x) + ' ' : '' : '') divergence_text_bottom += (div_type % 2 == 0 ? showindis != "DON'T SHOW" ? array.get(indicators_name, x) + ' ' : '' : '') divergence_text_bottom if showindis != "DON'T SHOW" if dnumdiv_top > 0 divergence_text_top += str.tostring(dnumdiv_top) divergence_text_top if dnumdiv_bottom > 0 divergence_text_bottom += str.tostring(dnumdiv_bottom) divergence_text_bottom if divergence_text_top != '' if showlast delete_old_neg_div_labels() array.push(neg_div_labels, label.new(x=bar_index, y=math.max(high, high ), color=top_label_col, style=label.style_diamond, size = size.auto)) if divergence_text_bottom != '' if showlast delete_old_pos_div_labels() array.push(pos_div_labels, label.new(x=bar_index, y=math.min(low, low ), color=bottom_label_col, style=label.style_diamond, size = size.auto)) // POSITION AND SIZE PosTable = input.string(defval="Bottom Right", title="Position", options= , group="Table Location & Size", inline="1") SizTable = input.string(defval="Auto", title="Size", options= , group="Table Location & Size", inline="1") Pos1Table = PosTable == "Top Right" ? position.top_right : PosTable == "Middle Right" ? position.middle_right : PosTable == "Bottom Right" ? position.bottom_right : PosTable == "Top Center" ? position.top_center : PosTable == "Middle Center" ? position.middle_center : PosTable == "Bottom Center" ? position.bottom_center : PosTable == "Top Left" ? position.top_left : PosTable == "Middle Left" ? position.middle_left : position.bottom_left Siz1Table = SizTable == "Auto" ? size.auto : SizTable == "Huge" ? size.huge : SizTable == "Large" ? size.large : SizTable == "Normal" ? size.normal : SizTable == "Small" ? size.small : size.tiny tbl = table.new(Pos1Table, 21, 16, border_width = 1, border_color = color.gray, frame_color = color.gray, frame_width = 1) // Kullanıcı tarafından belirlenecek yeşil ve kırmızı zaman dilimi sayısı greenThreshold = input.int(5, minval=1, maxval=10, title="Yeşil Zaman Dilimi Sayısı", group="Alarm Ayarları") redThreshold = input.int(5, minval=1, maxval=10, title="Kırmızı Zaman Dilimi Sayısı", group="Alarm Ayarları") // TIMEFRAMES OPTIONS box01 = input.bool(true, "TF ", inline = "01", group="Select Timeframe") tf01 = input.timeframe("1", "", inline = "01", group="Select Timeframe") box02 = input.bool(false, "TF ", inline = "02", group="Select Timeframe") tf02 = input.timeframe("3", "", inline = "02", group="Select Timeframe") box03 = input.bool(true, "TF ", inline = "03", group="Select Timeframe") tf03 = input.timeframe("5", "", inline = "03", group="Select Timeframe") box04 = input.bool(true, "TF ", inline = "04", group="Select Timeframe") tf04 = input.timeframe("15", "", inline = "04", group="Select Timeframe") box05 = input.bool(false, "TF ", inline = "05", group="Select Timeframe") tf05 = input.timeframe("30", "", inline = "05", group="Select Timeframe") box06 = input.bool(true, "TF ", inline = "01", group="Select Timeframe") tf06 = input.timeframe("60", "", inline = "01", group="Select Timeframe") box07 = input.bool(false, "TF ", inline = "02", group="Select Timeframe") tf07 = input.timeframe("120", "", inline = "02", group="Select Timeframe") box08 = input.bool(false, "TF ", inline = "03", group="Select Timeframe") tf08 = input.timeframe("180", "", inline = "03", group="Select Timeframe") box09 = input.bool(true, "TF ", inline = "04", group="Select Timeframe") tf09 = input.timeframe("240", "", inline = "04", group="Select Timeframe") box10 = input.bool(false, "TF ", inline = "05", group="Select Timeframe") tf10 = input.timeframe("D", "", inline = "05", group="Select Timeframe") // indicator('Tillson FEMA', overlay=true) length1 = input(1, 'FEMA Length') a1 = input(0.7, 'Volume Factor') e1 = ta.ema((high + low + 2 * close) / 4, length1) e2 = ta.ema(e1, length1) e3 = ta.ema(e2, length1) e4 = ta.ema(e3, length1) e5 = ta.ema(e4, length1) e6 = ta.ema(e5, length1) c1 = -a1 * a1 * a1 c2 = 3 * a1 * a1 + 3 * a1 * a1 * a1 c3 = -6 * a1 * a1 - 3 * a1 - 3 * a1 * a1 * a1 c4 = 1 + 3 * a1 + a1 * a1 * a1 + 3 * a1 * a1 FEMA = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 tablocol1 = FEMA > FEMA tablocol3 = FEMA < FEMA color_1 = col1 ? color.rgb(149, 219, 35): col3 ? color.rgb(238, 11, 11) : color.yellow plot(FEMA, color=color_1, linewidth=3, title='FEMA') tilson1 = FEMA tilson1a =FEMA // DEFINITION OF VALUES symbol = ticker.modify(syminfo.tickerid, syminfo.session) tfArr = array.new(na) tilson1Arr = array.new(na) tilson1aArr = array.new(na) // DEFINITIONS OF RSI & CCI FUNCTIONS APPENDED IN THE TIMEFRAME OPTIONS cciNcciFun(tf, flg) => = request.security(symbol, tf, ) if flg and (barstate.isrealtime ? true : timeframe.in_seconds(timeframe.period) <= timeframe.in_seconds(tf)) array.push(tfArr, na(tf) ? timeframe.period : tf) array.push(tilson1Arr, tilson_) array.push(tilson1aArr, tilson1a_) cciNcciFun(tf01, box01), cciNcciFun(tf02, box02), cciNcciFun(tf03, box03), cciNcciFun(tf04, box04), cciNcciFun(tf05, box05), cciNcciFun(tf06, box06), cciNcciFun(tf07, box07), cciNcciFun(tf08, box08), cciNcciFun(tf09, box09), cciNcciFun(tf10, box10) // TABLE AND CELLS CONFIG // Post Timeframe in format tfTxt(x)=> out = x if not str.contains(x, "S") and not str.contains(x, "M") and not str.contains(x, "W") and not str.contains(x, "D") if str.tonumber(x)%60 == 0 out := str.tostring(str.tonumber(x)/60)+"H" else out := x + "m" out if barstate.islast table.clear(tbl, 0, 0, 20, 15) // TITLES table.cell(tbl, 0, 0, "⏱", text_color=color.white, text_size=Siz1Table, bgcolor=#000000) table.cell(tbl, 1, 0, "FEMA("+str.tostring(length1)+")", text_color=#FFFFFF, text_size=Siz1Table, bgcolor=#000000) j = 1 greenCounter = 0 // Yeşil zaman dilimlerini saymak için bir sayaç redCounter = 0 if array.size(tilson1Arr) > 0 for i = 0 to array.size(tilson1Arr) - 1 if not na(array.get(tilson1Arr, i)) //config values in the cells TF_VALUE = array.get(tfArr,i) tilson1VALUE = array.get(tilson1Arr, i) tilson1aVALUE = array.get(tilson1aArr, i) SIGNAL1 = tilson1VALUE >= tilson1aVALUE ? "▲" : tilson1VALUE <= tilson1aVALUE ? "▼" : na // Yeşil oklar ve arka planı ayarla greenArrowColor1 = SIGNAL1 == "▲" ? color.rgb(0, 255, 0) : color.rgb(255, 0, 0) greenBgColor1 = SIGNAL1 == "▲" ? color.rgb(25, 70, 22) : color.rgb(93, 22, 22) allGreen = tilson1VALUE >= tilson1aVALUE allRed = tilson1VALUE <= tilson1aVALUE // Determine background color for time text timeBgColor = allGreen ? #194616 : (allRed ? #5D1616 : #000000) txtColor = allGreen ? #00FF00 : (allRed ? #FF4500 : color.white) if allGreen greenCounter := greenCounter + 1 redCounter := 0 else if allRed redCounter := redCounter + 1 greenCounter := 0 else redCounter := 0 greenCounter := 0 // Dinamik pair değerini oluşturma pair = "USDT_" + syminfo.basecurrency + "USDT" // Bot ID için kullanıcı girişi bot_id = input.int(12387976, title="Bot ID", minval=0,group ='3Comas Message', inline = '1') // Varsayılan değeri 12387976 olan bir tamsayı girişi alır // E-posta tokenı için kullanıcı girişi email_token = input("cd4111d4-549a-4759-a082-e8f45c91fa47", title="Email Token",group ='3Comas Message', inline = '1') // USER INPUT FOR DELAY delay_seconds = input.int(0, title="Delay Seconds", minval=0, maxval=86400,group ='3Comas Message', inline = '1') // Dinamik mesajın oluşturulması message = '{ "message_type": "bot", "bot_id": ' + str.tostring(bot_id) + ', "email_token": "' + email_token + '", "delay_seconds": ' + str.tostring(delay_seconds) + ', "pair": "' + pair + '"}' // Kullanıcının belirlediği yeşil veya kırmızı zaman dilimi sayısına ulaşıldığında alarmı tetikle if greenCounter >= greenThreshold alert(message, alert.freq_once_per_bar_close) // if redCounter >= redThreshold // alert(message, alert.freq_once_per_bar_close) // Kullanıcının belirlediği yeşil veya kırmızı zaman dilimi sayısına ulaşıldığında alarmı tetikle // if greenCounter >= greenThreshold // alert("Yeşil zaman dilimi sayısı " + str.tostring(greenThreshold) + " adede ulaştı", alert.freq_once_per_bar_close) // if redCounter >= redThreshold // alert("Kırmızı zaman dilimi sayısı " + str.tostring(redThreshold) + " adede ulaştı", alert.freq_once_per_bar_close) table.cell(tbl, 0, j, tfTxt(TF_VALUE), text_color=txtColor, text_halign=text.align_left, text_size=Siz1Table, bgcolor=timeBgColor) table.cell(tbl, 1, j, str.tostring(tilson1VALUE, "#.#######")+SIGNAL1, text_color=greenArrowColor1, text_halign=text.align_right, text_size=Siz1Table, bgcolor=greenBgColor1) j += 1 prd = input.int(defval=10, title='Pivot Period', minval=4, maxval=30, group='Setup') ppsrc = input.string(defval='High/Low', title='Source', options= , group='Setup') maxnumpp = input.int(defval=20, title=' Maximum Number of Pivot', minval=5, maxval=100, group='Setup') ChannelW = input.int(defval=10, title='Maximum Channel Width %', minval=1, group='Setup') maxnumsr = input.int(defval=5, title=' Maximum Number of S/R', minval=1, maxval=10, group='Setup') min_strength = input.int(defval=2, title=' Minimum Strength', minval=1, maxval=10, group='Setup') labelloc = input.int(defval=20, title='Label Location', group='Colors', tooltip='Positive numbers reference future bars, negative numbers reference histical bars') linestyle = input.string(defval='Dashed', title='Line Style', options= , group='Colors') linewidth = input.int(defval=2, title='Line Width', minval=1, maxval=4, group='Colors') resistancecolor = input.color(defval=color.red, title='Resistance Color', group='Colors') supportcolor = input.color(defval=color.lime, title='Support Color', group='Colors') showpp = input(false, title='Show Point Points') float src1 = ppsrc == 'High/Low' ? high : math.max(close, open) float src2 = ppsrc == 'High/Low' ? low : math.min(close, open) float ph = ta.pivothigh(src1, prd, prd) float pl = ta.pivotlow(src2, prd, prd) plotshape(ph and showpp, text='H', style=shape.labeldown, color=na, textcolor=color.new(color.red, 0), location=location.abovebar, offset=-prd) plotshape(pl and showpp, text='L', style=shape.labelup, color=na, textcolor=color.new(color.lime, 0), location=location.belowbar, offset=-prd) Lstyle = linestyle == 'Dashed' ? line.style_dashed : linestyle == 'Solid' ? line.style_solid : line.style_dotted //calculate maximum S/R channel zone width prdhighest = ta.highest(300) prdlowest = ta.lowest(300) cwidth = (prdhighest - prdlowest) * ChannelW / 100 var pivotvals = array.new_float(0) if ph or pl array.unshift(pivotvals, ph ? ph : pl) if array.size(pivotvals) > maxnumpp // limit the array size array.pop(pivotvals) get_sr_vals(ind) => float lo = array.get(pivotvals, ind) float hi = lo int numpp = 0 for y = 0 to array.size(pivotvals) - 1 by 1 float cpp = array.get(pivotvals, y) float wdth = cpp <= lo ? hi - cpp : cpp - lo if wdth <= cwidth // fits the max channel width? if cpp <= hi lo := math.min(lo, cpp) else hi := math.max(hi, cpp) numpp += 1 numpp var sr_up_level = array.new_float(0) var sr_dn_level = array.new_float(0) sr_strength = array.new_float(0) find_loc(strength) => ret = array.size(sr_strength) for i = ret > 0 ? array.size(sr_strength) - 1 : na to 0 by 1 if strength <= array.get(sr_strength, i) break ret := i ret ret check_sr(hi, lo, strength) => ret = true for i = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 //included? if array.get(sr_up_level, i) >= lo and array.get(sr_up_level, i) <= hi or array.get(sr_dn_level, i) >= lo and array.get(sr_dn_level, i) <= hi if strength >= array.get(sr_strength, i) array.remove(sr_strength, i) array.remove(sr_up_level, i) array.remove(sr_dn_level, i) ret else ret := false ret break ret var sr_lines = array.new_line(11, na) var sr_labels = array.new_label(11, na) for x = 1 to 10 by 1 rate = 100 * (label.get_y(array.get(sr_labels, x)) - close) / close label.set_text(array.get(sr_labels, x), text=str.tostring(label.get_y(array.get(sr_labels, x))) + '(' + str.tostring(rate, '#.##') + '%)') label.set_x(array.get(sr_labels, x), x=bar_index + labelloc) label.set_color(array.get(sr_labels, x), color=label.get_y(array.get(sr_labels, x)) >= close ? color.red : color.lime) label.set_textcolor(array.get(sr_labels, x), textcolor=label.get_y(array.get(sr_labels, x)) >= close ? color.white : color.black) label.set_style(array.get(sr_labels, x), style=label.get_y(array.get(sr_labels, x)) >= close ? label.style_label_down : label.style_label_up) line.set_color(array.get(sr_lines, x), color=line.get_y1(array.get(sr_lines, x)) >= close ? resistancecolor : supportcolor) if ph or pl //because of new calculation, remove old S/R levels array.clear(sr_up_level) array.clear(sr_dn_level) array.clear(sr_strength) //find S/R zones for x = 0 to array.size(pivotvals) - 1 by 1 = get_sr_vals(x) if check_sr(hi, lo, strength) loc = find_loc(strength) // if strength is in first maxnumsr sr then insert it to the arrays if loc < maxnumsr and strength >= min_strength array.insert(sr_strength, loc, strength) array.insert(sr_up_level, loc, hi) array.insert(sr_dn_level, loc, lo) // keep size of the arrays = 5 if array.size(sr_strength) > maxnumsr array.pop(sr_strength) array.pop(sr_up_level) array.pop(sr_dn_level) for x = 1 to 10 by 1 line.delete(array.get(sr_lines, x)) label.delete(array.get(sr_labels, x)) for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2) rate = 100 * (mid - close) / close array.set(sr_labels, x + 1, label.new(x=bar_index + labelloc, y=mid, text=str.tostring(mid) + '(' + str.tostring(rate, '#.##') + '%)', color=mid >= close ? color.red : color.lime, textcolor=mid >= close ? color.white : color.black, style=mid >= close ? label.style_label_down : label.style_label_up)) array.set(sr_lines, x + 1, line.new(x1=bar_index, y1=mid, x2=bar_index - 1, y2=mid, extend=extend.both, color=mid >= close ? resistancecolor : supportcolor, style=Lstyle, width=linewidth)) f_crossed_over() => ret = false for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2) if close <= mid and close > mid ret := true ret ret f_crossed_under() => ret = false for x = 0 to array.size(sr_up_level) > 0 ? array.size(sr_up_level) - 1 : na by 1 float mid = math.round_to_mintick((array.get(sr_up_level, x) + array.get(sr_dn_level, x)) / 2) if close >= mid and close < mid ret := true ret ret alertcondition(f_crossed_over(), title='Resistance Broken', message='Resistance Broken') alertcondition(f_crossed_under(), title='Support Broken', message='Support Broken')
אינדיקטור Pine Script®
מאת ‎KRIPTOFEMA‎
Ummah X Squeeze (BB + KC)This script highlights the three phases of volatility: 🔴 Squeeze ON – Compression BB contracts inside KC, signaling reduced volatility and energy building beneath the surface. This is when smart traders begin watching closely — not trading impulsively — because the market is loading pressure. 🟢 Squeeze OFF – Expansion BB pushes outside KC, confirming volatility expansion. This is the moment when price leaves equilibrium and major directional moves often begin. The squeeze firing can lead to: Trend reversals Breakouts Momentum ignitions Rapid volatility bursts ⚪ Neutral – No Squeeze Normal volatility conditions with no actionable compression. 🔥 How Traders Use It This tool is designed to enhance: Breakout strategies Trend-following systems Scalping and intraday setups Swing trading entries Volatility-based confirmation Identifying high-probability inflection zones The squeeze does not tell you direction by itself — it tells you when a powerful move is about to start. Direction is best confirmed using: Market structure & breakout levels Volume surges EMA trend direction RSI / MACD momentum shifts 🧠 Why This Version Is Special This script is optimized for clarity and speed, with: Clean BB + KC visualization Color-coded squeeze states at the bottom of the chart Works across all assets (stocks, crypto, futures, FX) Works on all timeframes Alerts built-in for both “Squeeze ON” and “Squeeze OFF” 📌 Ideal For Momentum traders Breakout traders Options traders (pre-move volatility setups) Crypto scalpers Swing traders Anyone who wants to anticipate volatility before it hits the chart ✨ Created for the Ummah X Trading System This indicator is part of the Ummah X methodology — a structured trading approach built around: Trend confirmation Volume pressure Market structure Volatility compression & release This BB+KC squeeze module is the foundation for identifying high-probability expansion phases.
אינדיקטור Pine Script®
מאת ‎noalliance‎
Directional Imbalance Index [BigBeluga]🔵 OVERVIEW The Directional Imbalance Index is designed to track market strength by counting how often price sets new highs or lows over a defined lookback period. Every time a bar forms a new extreme, the indicator records a +1 count for either bullish (highs) or bearish (lows). These counts are aggregated into a rolling calculation, allowing traders to see which side dominates and how directional imbalance evolves. 🔵 CONCEPTS Each new highest high → adds a bullish count (+1). Each new lowest low → adds a bearish count (+1). Counts are stored inside arrays over a user-defined Calculation Period . for i = 0 to period-1 h = high l = low if h == upper countUp.push(1) if l == lower countDn.push(1) The balance between bullish and bearish counts highlights dominance and imbalance. Normalized percentages help compare both sides (e.g., 65% bullish vs 35% bearish). 🔵 FEATURES Counts new highs/lows over a chosen Highest/Lowest Length . Aggregates values over a rolling Calculation Period . Plots cumulative bullish vs bearish totals in the subchart. Displays % share of bulls vs bears from total counts. On-chart labels mark bars where a count was added. Plots reference lines of the current upper (high) and lower (low) ranges. Dynamic fill between bullish/bearish plots to visualize which side dominates. 🔵 HOW TO USE Look for persistent bullish imbalance (bull % > bear %) as confirmation of upward momentum. Look for persistent bearish imbalance (bear % > bull %) as confirmation of downward momentum. Watch for shifts in % dominance — often early signs of trend reversal or weakening strength. Use labels on the chart to visually confirm which bars contributed to directional bias. Combine with trend or volume tools to confirm whether imbalance aligns with market direction. 🔵 CONCLUSION The Directional Imbalance Index offers a systematic way to measure directional pressure. By counting how often price pushes into new territory, the indicator reveals whether bulls or bears are taking control. This makes it a valuable tool for detecting early signs of trend continuation or exhaustion, helping traders align with the side most likely to dominate.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
7
【SY】AI量化指标📌 TradingView Strategy Description (English) Strategy Overview This strategy combines trend-following and momentum confirmation to identify high-probability entries in the direction of the prevailing market trend. The objective is not to trade every move, but to capture the strongest phases of price expansion while minimizing exposure during choppy periods. How It Works A trend filter determines whether the market is currently in a bullish or bearish environment Trades are only taken in the direction of the trend — no counter-trend entries A breakout / momentum signal triggers entry when conditions align Risk management uses a combination of fixed take-profit, stop-loss and trailing stop Positions are closed when price strength weakens or when exit criteria are triggered Risk Management Fixed stop-loss protects capital during adverse movement Trailing stop locks in floating profits once the trade is in profit No martingale, grid or averaging-down — each position is managed independently Avoids overtrading during sideways markets by requiring trend confirmation Markets & Timeframes Suitable for: Crypto / Indices / Commodities / Forex Recommended timeframes: 15m – 4H Can be used for both backtesting and automated trading (Webhook / API compatible) Disclaimer This script is for educational and research purposes only and does not constitute financial advice. Past performance does not guarantee future results. Trading involves risk — manage leverage and position size responsibly. If you'd like, I can also provide: 🔹 A short description for the TradingView title area 🔹 A marketing-style preview text to drive more script saves & followers 🔹 A customized version including key terms from your strategy (EMA / KDJ / Supertrend / ATR / RSI / volatility filter / etc.)
אינדיקטור Pine Script®
מאת ‎rlfstbtu‎
CPA2 PROCrypto Professional Analyzer (CPA) - Instructions Purpose: CPA is a Multi-Factor Weighted System designed to confirm signals by analyzing three key areas simultaneously: Trend Alignment, Volume Support, and Momentum Strength. Signal Types: Strong Buy/Sell: Highest confidence signals, confirmed by all major factors. Buy/Sell: Standard signals, confirmed by the majority of factors. Key Features: Risk Flags: Look for PUMP, DUMP, or FAKE (Fake Breakout) alerts to avoid potential traps. Trend Health: Monitor the ribbon colors; they indicate the overall health and direction of the EMA trend alignment. Risk Management: Use the plotted TP1 and TP2 levels (Take Profits) for planning your exits. Pro-Tip: Adjust the 'Risk Level' setting in the indicator inputs to filter signals (e.g., set to 'Low' for stricter signal requirements).
אינדיקטור Pine Script®
מאת ‎innoalgos‎
6
MTF Bollinger Bands (1-2-3 SD)MTF Bollinger Bands (1-2-3 SD) Plots Bollinger Bands from any higher timeframe (e.g., Daily or Weekly) directly on your current chart (1m, 15m, 1h, etc.). Features: Shows 1σ (blue), 2σ (orange), and 3σ (red) bands with transparent fills Fully customizable timeframe, length, and deviation multipliers Option to show/hide each band pair independently Smooth (no gaps) or stepped display Perfectly matches the native Bollinger Bands when you switch to the selected higher timeframe Great for keeping higher-timeframe structure and extreme levels in view while trading lower timeframes.
אינדיקטור Pine Script®
מאת ‎DownToCryptoTA‎
Trend or Reversal (NQ optimized)This indicator is a session-aware trade map for NQ futures that combines VWAP, an adaptive Opening Range Box (ORB), prior-day/weekly value areas, and CVD-based divergences into a single confluence engine. It scores trend and reversal setups separately on every bar, then selects one best signal per bar (long or short) so you’re never flooded with conflicting entries. Key features Adaptive ORB box (RTH only): First 5–15 minutes after 9:30 ET (length auto-adjusts with ADX). The box defines the opening auction; once it closes, those highs/lows are locked as ORB breakout levels for the rest of the session. Dynamic bias: Bias flips between bullish, bearish, or neutral based on ORB breaks and how price + EMA9 behave around VWAP. Value-area context: Uses yesterday’s and last week’s VAH/VAL (70% range model) to define “safer” long/short zones (above VAL for longs, below VAH for shorts). Session CVD & divergence: Builds a running intraday Cumulative Volume Delta and flags bullish/bearish divergences at extremes. Confluence scoring: Four internal scores—Trend Long, Trend Short, Reversal Long, Reversal Short—each built from multiple factors (bias, VWAP, ORB, value areas, divergence). The side with the stronger score that passes its threshold prints: T-LONG / T-SHORT for trend continuation R-L / R-S for mean-reversion (fade) setups How to use Treat T-signals as your primary entries in strong directional moves, aligned with VWAP and ORB/value-area structure. Treat R-signals as tactical fade opportunities into extremes, preferably at prior VAH/VAL or ORB edges and supported by CVD divergence. The indicator is not a standalone system—combine it with your own execution rules, risk management, and higher-timeframe context. Not Financial Advice
אינדיקטור Pine Script®
מאת ‎obextrade‎
Vector CPR Bands## Overview The Vector CPR Bands indicator enhances the classic Central Pivot Range (CPR) by incorporating "vector" detection—identifying periods with above-average or climactic volume. It projects CPR ranges from these high-volume periods forward as visual bands, which act as persistent support/resistance zones until invalidated by price action. Ideal for spotting key levels in trending or ranging markets, especially on higher timeframes like weekly or monthly. ## Key Features - **CPR Calculation**: Plots previous, developing (non-repainting), and repainting CPR with mid-pivot, TC (top central), and BC (bottom central) lines, plus fills. - **Vector Detection**: Scans for high-volume bars in the anchor timeframe (default weekly). Flags "above-average" (≥1.5x avg) or "large" (≥2x avg or max climax). - **Band Projection**: Creates bands from vector-qualified CPR periods. Extends them rightward until touched/revisited (configurable: invalidate on wick/close, delete or freeze/gray out). - **Customization**: - Timeframe: Set CPR anchor (e.g., 'W' for weekly, 'M' for monthly). - Display: Toggle CPR types, pivot guides. - Volume Thresholds: Adjust lookback and ratios. - De-clutter: Limit max bands, pin to period start, always extend. - **Alerts & Signals**: Built-in alerts for developing pivot crossing previous pivot (bullish/bearish). ## How to Use 1. Add to chart and set anchor timeframe (e.g., 'M' for monthly vCPR on BTC, as shown in example charts). 2. Watch bands as S/R: Virgin (untested) bands often provide strong bounces; mitigated ones fade. 3. Combine with volume/price action: Bullish bands suggest upside bias, especially if price holds above. 4. Example: On BTC weekly, vector bands from high-volume weeks highlight multi-month zones—breaks signal shifts.
אינדיקטור Pine Script®
מאת ‎godzcopilot‎
1
Pi Cycle BTC Top + Pre-Alert BandsPi Cycle BTC Top + Pre-Alert Bands is an advanced implementation of the classic Pi Cycle Top model, designed for Bitcoin cycle analysis on higher timeframes (especially 1D BTCUSD/BTCUSD·INDEX). The original Pi Cycle Top uses two moving averages: • 111-day SMA (short MA) • 350-day SMA ×2 (long MA) A Pi Top is signaled when the 111 SMA crosses above the 350×2 SMA. Historically, this has occurred near major BTC cycle highs. This script extends that idea with a 3-step early-warning sequence: • Pi Green – early compression: short/long MA ratio crosses upward into the green band (convergence from below is required). • Pi Yellow – mid-cycle warning: only fires if a valid Green has already occurred in the same cycle. • Pi Cycle Top – final top: the classic Pi Cycle cross, limited to one top signal per cycle. After a top, no new Yellow or Top signals can appear until a new Green event starts the next cycle. Background shading shows the active phase (Green / Yellow / late-cycle zone), so you can see at a glance where BTC is within its Pi-based macro structure. All logic is non-repainting: request.security() uses lookahead_off and no future data is accessed. Typical use This indicator is intended as a macro-cycle timing and risk-awareness tool, not a stand-alone entry system. Many traders use it to: • Watch for Pi Green as the start of a potential late-cycle advance. • Treat Pi Yellow as a rising-risk environment and tighten risk management. • Use the Pi Cycle Top as a historical high-risk zone where large profit-taking or hedging may be considered. Always combine this with your own analysis (trend, volume, on-chain, macro) before making decisions. How to set alerts Add the indicator to your chart (1D BTCUSD or BTCUSD·INDEX recommended). Click Alerts → Condition → Pi Cycle BTC Top + Pre-Alert Bands. Choose one of:   • Pi Cycle – Green Pre-Alert (early convergence)   • Pi Cycle – Yellow Pre-Alert (after Green only)   • Pi Cycle – TOP (Single per Cycle, after Green) Use “Once per bar close” for higher-timeframe reliability. Disclaimer This tool is for educational and analytical purposes only. The Pi Cycle concept is based on historical behavior and does not guarantee future results. This is not financial advice; always do your own research and manage risk appropriately.
אינדיקטור Pine Script®
מאת ‎KOMMODO_IO‎
Enhanced ML-FRAMA with HTFCore Concept FRAMA (Fractal Adaptive Moving Average) is an adaptive moving average that automatically adjusts its sensitivity based on market volatility using fractal geometry. This indicator enhances it with Machine Learning predictions and multi-timeframe analysis. Key Components: 1. ML-Enhanced FRAMA ML Enhancement: Uses machine learning to adjust FRAMA's sensitivity Dynamic Adaptation: ML predictions modify the smoothing constant based on market conditions 2. Machine Learning System Three ML Models Combined: K-Nearest Neighbors (KNN): Finds similar historical patterns Trend Model: Uses EMA crossovers for trend detection Momentum Model: Combines RSI, ROC, and volume for momentum Features Used: RSI, MACD, ATR, Rate of Change Volume ratio and momentum VWAP deviation Higher timeframe RSI Daily EMA trend 3. Higher Timeframe Integration HTF1: 1-hour timeframe HTF2: 4-hour timeframe Confluence Trading: Requires agreement across multiple timeframes 4. Visual Features Support/Resistance Circles: Dynamic levels based on ATR volatility Color Coding: Green: Bullish signals Red: Bearish signals Purple/Orange: HTF indicators Trend Detection: Colors change based on direction Requirements for Bullish Signal: Price crosses above ML-FRAMA ML prediction > 60% bullish High confidence (>30%) Volume 20% above average Both HTF timeframes bullish Performance Tracking: Adaptive Weights: Automatically adjusts model weights based on recent accuracy Dynamic K: Adjusts KNN neighbors based on market volatility Outlier Detection: Filters unusual bars from training data Trading Philosophy: Multi-Timeframe Confirmation Avoids false signals by requiring HTF agreement Reduces noise by focusing on higher probability setups Volume Confirmation Requires above-average volume for valid signals Volume momentum adds conviction Machine Learning Edge Learns from historical patterns Adapts to changing market conditions Combines multiple analysis techniques Use Cases: Trend Following: ML-FRAMA as dynamic support/resistance Breakout Trading: Price crosses with volume and HTF confirmation Mean Reversion: Support/resistance circles as reversal zones Swing Trading: HTF confluence for higher probability setups Strengths: Adaptive: Adjusts to market volatility Multi-timeframe: Reduces false signals Volume-confirmed: Adds conviction ML-enhanced: Learns from market behavior Visual: Clear support/resistance levels Ideal For: Swing traders looking for high-probability entries Trend followers wanting adaptive moving averages Technical analysts who value multi-timeframe confirmation Traders who want machine learning without complexity The indicator essentially creates a "smart" adaptive moving average that learns from the market and only provides signals when multiple timeframes and technical factors align.
אינדיקטור Pine Script®
מאת ‎akhlaque16g55‎
Trend Drawing + OB Signal (MTF) [ASCII]Script Description: Advanced Multi-Timeframe Trend Lines & OB/OS Signal Overview This advanced Pine Script indicator is designed to identify and project key support and resistance levels using pivot-based trend lines across multiple timeframes. It combines this powerful trend analysis with a sophisticated Overbought/Oversold (OB/OS) detection system using CCI and Bollinger Bands, providing clear trading signals with integrated alert functionality. Key Features 1. Multi-Timeframe Trend Lines Automated Pivot Detection: Automatically identifies significant swing highs and lows based on user-defined left/right bar parameters Smart Timeframe Adaptation: Uses different sensitivity settings for each timeframe (15min to 1Week) for optimal pivot detection Dynamic Line Projection: Draws trend lines connecting the two most recent pivots and extends them forward Flexible Source Selection: Choose between Close price, Wick extremes, or Auto mode (Auto uses Wick for higher timeframes, Close for lower timeframes) 2. Advanced OB/OS Detection System Dual Indicator Confirmation: Combines CCI momentum and Bollinger Band position for reliable signals Customizable Parameters: Adjustable CCI length, OB/OS thresholds, and Bollinger Band settings Bar Confirmation Option: Optional wait-for-close confirmation to avoid false signals Visual Markers: Clear triangle markers above/below bars for quick signal identification 3. Timeframe Support Available Timeframes: 15min, 30min, 1h, 2h, 4h, 8h, 12h, 1D, 1W Independent Settings: Custom left/right bar parameters for each timeframe Automatic Adaptation: Script automatically applies the correct settings for your current chart timeframe Input Parameters Trend Lines Configuration Left/Right Bars: Defines the pivot detection sensitivity for each timeframe Line Length: Controls how far trend lines extend into the future Line Source: Choose between Close, Wick, or Auto selection Colors: Customizable support/resistance line colors OB/OS Signal Settings CCI Parameters: Length and OB/OS thresholds Bollinger Bands: Length and multiplier for band width Plot Options: Toggle OB markers and bar confirmation Signal Logic OB UP Signal (Short Bias) Conditions: CCI ≥ OB threshold AND Close ≥ Upper Bollinger Band Marker: Red triangle down above bar Alert Direction: SHORT OB DOWN Signal (Long Bias) Conditions: CCI ≤ OS threshold AND Close ≤ Lower Bollinger Band Marker: Green triangle up below bar Alert Direction: LONG Alert System The script includes pre-formatted JSON alerts for external integration: Structured data format with symbol, timeframe, direction, and signal type Secret key for authentication (replace "MY_SECRET" with your actual key) Compatible with webhook services and custom alert handlers Usage Tips Timeframe Selection: Use higher timeframes (4H-Daily) for major levels, lower timeframes for precise entries Parameter Tuning: Adjust left/right bars based on market volatility - increase for smoother trends, decrease for more reactive lines Confirmation: Combine trend line breaks with OB/OS signals for high-probability setups Risk Management: Always use proper stop losses - trend lines indicate potential areas, not guaranteed reversals Technical Notes Built with Pine Script v6 Maximum 200 lines/labels to maintain performance Works on all asset types (forex, stocks, crypto) Optimized for real-time and historical analysis This script provides institutional-grade trend analysis with retail-friendly signals, making complex multi-timeframe analysis accessible to traders of all experience levels. This description covers all the technical aspects while being accessible for users.
אינדיקטור Pine Script®
מאת ‎aytacguven‎
KC-BB Squeeze Trend Trader█ OVERVIEW The KC-BB Squeeze Trend Trader identifies volatility compression and expansion by detecting when Bollinger Bands contract inside Keltner Channels and then release with confirmed momentum. It highlights potential trend-starting breakouts by combining squeeze detection, directional momentum, trend bias, and optional volume filters. During periods of low volatility, price consolidates and energy builds. When volatility expands again, strong directional moves often follow. This tool helps traders spot those opportunities early with clear visual cues and optional performance tracking. █ KEY FEATURES Squeeze detection using Bollinger Bands inside Keltner Channels Automatic identification of volatility expansion after the squeeze ends Optional filters for momentum, trend direction, volume, and signal cooldown Dynamic color fills for squeeze, bullish expansion, bearish expansion, and neutral states Dashboard showing squeeze duration, tightness, momentum, trend, and volume context Optional win-rate analytics using ATR-based target and stop evaluation Multi-timeframe confirmation for higher-quality breakouts █ HOW IT WORKS A squeeze occurs when both Bollinger Bands sit inside the Keltner Channels. A breakout begins when the Bollinger Bands expand outside the KCs. Long signals appear when squeeze release aligns with bullish momentum and trend strength. Short signals appear when bearish momentum and trend conditions agree. Volume and cooldown filters help reduce noise and avoid low-quality entries. █ HOW TO USE Wait for a squeeze period (yellow fill). Monitor duration and tightness: longer/tighter squeezes often lead to stronger moves. When a long or short signal appears, use the plotted ATR-based target and stop as reference levels. Watch for contraction or exit hints when momentum fades or volatility narrows again. Higher timeframes generally provide cleaner and more reliable signals. █ TIMEFRAME GUIDANCE Crypto: 4H or 1D; consider increasing KC multiplier for high volatility. Forex: 1H–4H; longer squeeze duration can improve selectivity. Stocks: 1D–1W; consider slightly higher BB multiplier on slow-moving markets. █ SETTINGS SUMMARY Adjustable Bollinger Band and Keltner Channel lengths and multipliers Three momentum modes: Linear Regression, Price–SMA, or ROC Trend and volume filters (optional) Configurable minimum squeeze duration and signal cooldown ATR-based target and stop multipliers Optional historically tight squeeze filter (percentile-based) █ ALERTS Squeeze Detected Squeeze Released Long Entry Short Entry Exit Hint Historically Tight Squeeze █ NOTES ATR-based win-rate calculations provide simplified performance estimates. Past behavior does not guarantee future movement. Use position sizing and risk management appropriate for the instrument and timeframe. █ CREDITS Inspired by the Bollinger Band and Keltner Channel squeeze concept popularized by John Carter’s TTM Squeeze, with added enhancements for squeeze strength, filtering, and real-time performance metrics.
אינדיקטור Pine Script®
מאת ‎kingthies‎
1
Z-Score IndicatorA Z-Score measures how many standard deviations a value is from its mean. In finance, it indicates how far the current price is from its historical average in statistical terms. Practically speaking, the Z-Score quantifies price anomalies and serves as the statistical foundation behind mean-reversion strategies and dispersion analysis (pairs trading, Z-bands, etc.). ±1σ: normal movement. ±2σ: moderate overextension. ±3σ: statistically extreme event (≈ 0.3% probability under a normal distribution).
אינדיקטור Pine Script®
מאת ‎yamilbocanegra‎