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RSI مع 5 متوسطات و5 مستوياتRSI with 5 Moving Averages and 5 Levels This indicator combines the Relative Strength Index (RSI) with five customizable moving averages and five horizontal levels to help identify momentum, overbought/oversold zones, and trend strength. • RSI: Measures the speed and change of price movements. • Levels (10, 20, 50, 80, 90): • 10 & 20 → Oversold zones (potential buy areas) • 80 & 90 → Overbought zones (potential sell areas) • 50 → Neutral midpoint (trend balance line) • Moving Averages (5, 8, 13, 21, 200): Smooth the RSI line to reveal short- and long-term momentum trends. You can choose the type (SMA, EMA, WMA), color, and line thickness. Optional alert signals can be triggered when the RSI crosses specific levels (e.g., above 80 or below 20).
Индикатор Pine Script®
от kalharbi0376
1
SMT + CVD (NQ vs ES) w/ AlertsSMT + CVD (NQ vs ES) w/ Alerts This tool combines Smart Money Technique (SMT) and Cumulative Volume Delta (CVD) to highlight high-probability inflection points on NQ (primary) versus ES (secondary). How it works SMT condition: the primary breaks its most recent swing (High for bearish / Low for bullish) while the secondary does not break the corresponding swing within a small retest window. CVD confirmation: at the same time, the primary’s CVD shows divergence (higher price but lower/equal CVD for shorts, lower price but higher/equal CVD for longs). When both align, the script plots a marker/label and draws a line from the primary swing to the signal bar. Alerts are fired. Signals & Alerts Labels: “SMT+CVD DOWN/UP” on the signal bar. Lines: connects the primary swing → signal bar so you can see the structure that produced the signal. Alert names: “SMT+CVD Bearish” and “SMT+CVD Bullish.” Inputs Primary / Secondary symbols: defaults NQ & ES (you can change them). Resolution: use chart timeframe or specify one. Swing Left/Right Bars: pivot detection depth (higher = larger swings). Break Window Bars: how many bars the secondary has to not break for SMT to be valid. CVD Up/Down By: Close vs Previous Close (default) or Close vs Open. Anchor CVD Daily: resets CVD at session/day start. CVD Smoothing (EMA): smooths the CVD line (optional show). FAST Pivots (no future bars): left-only swing detection so signals appear sooner and behave well in Replay/live. Require Secondary Pivot: if ON, SMT checks wait for a confirmed secondary swing; if OFF, signals can appear while the secondary swing is still forming (useful for Replay/testing). Show CVD line: optional, may compress price scale. Non-repaint notes With FAST Pivots ON, swings are detected with no future bars (minimal latency = leftBars). With FAST Pivots OFF, standard pivots require rightBars future bars to confirm the swing (classic, but naturally delayed). Tips For intraday futures, keep leftBars/rightBars small (e.g., 3/3) and Break Window 1–3. In Replay, enable FAST Pivots and consider disabling Require Secondary Pivot if you want signals to appear as soon as the primary breaks. Combine with session filters, execution rules, or liquidity zones for context.
Индикатор Pine Script®
от anthony32773
PHD-Points The PHD Pivot Points indicator is a professional-grade support and resistance tool that calculates key price levels based on previous day's price action and current intraday data. It provides traders with multiple reference points for identifying potential reversal zones, breakout levels, and strategic entry/exit positions. Key Components 1. Previous Day Pivot Point (P) White Line - The main pivot level calculated from previous day's High, Low, and Close Formula: P = (Previous High + Previous Low + Previous Close) / 3 Serves as the central reference point for the trading day Often acts as a psychological support/resistance level 2. Previous Day Support Levels (D1, D2, D3) Brown Lines - Three support levels below the previous day's pivot D1 (Support 1): First support level, closest to pivot D2 (Support 2): Second support level, medium-strength D3 (Support 3): Third support level, strongest support Calculated using previous day's high and low ranges 3. Previous Day Resistance Levels (H1, H2, H3) Yellow-Brown Lines - Three resistance levels above the previous day's pivot H1 (Resistance 1): First resistance level, closest to pivot H2 (Resistance 2): Second resistance level, medium-strength H3 (Resistance 3): Third resistance level, strongest resistance Calculated using previous day's high and low ranges 4. Today's Pivot Point (PT) Dark Red Line - Dynamic pivot point that updates throughout the current trading session Formula: PT = (Current High + Current Low + Current Close) / 3 Provides real-time trend reference for intraday trading Helps identify intraday momentum and trend strength 5. Today's Dynamic Levels (DD1-DD3, HH1-HH3) Calculated but not plotted by default These values represent current session's support and resistance levels Can be used for advanced intraday analysis Trading Applications Support and Resistance Trading Price tends to bounce at D1, D2, D3 levels (potential buy zones) Price tends to stall or reverse at H1, H2, H3 levels (potential sell zones) Breaks above/below these levels signal trend strength Trend Identification Price above P = Bullish bias Price below P = Bearish bias PT line angle shows intraday momentum direction
Индикатор Pine Script®
от xaubtcdxy
DD RatioThe DD Ratio (“Directional Distribution Ratio”) is a breadth indicator that shows, in real time, how many of the selected stocks (e.g., S&P 500 components) are bullish vs. bearish relative to today’s open. The DD Ratio tells you what’s really happening under the hood of the index: Futures may mislead: An index future (like ES or NQ) can rise on a few heavy-weighted stocks even while most components fall. The DD Ratio exposes that divergence. Breadth confirmation: When the futures are up and DD Ratio ≥ 0.5 → healthy rally. When futures are up but DD Ratio < 0.5 → weak, narrow advance. Intraday sentiment gauge: It updates live with each bar, reflecting “who’s winning” since the open.
Индикатор Pine Script®
от Justsayom
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5 indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)', //--------------------------------------------------------------------------------------------------------------------------------- //--- Define Colors --------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------- vWhite = #FFFFFF vViolet = #C77DF3 vIndigo = #8A2BE2 vBlue = #009CDF vGreen = #5EBD3E vYellow = #FFB900 vRed = #E23838 longColor = color.green shortColor = color.red textColor = color.white bullishColor = color.rgb(38,166,154,0) //Used in the display table bearishColor = color.rgb(239,83,79,0) //Used in the display table nomatchColor = color.silver //Used in the display table //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Functions-------------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- TF2txt(TF) => switch TF "S" => "RSI 1s:" "5S" => "RSI 5s:" "10S" => "RSI 10s:" "15S" => "RSI 15s:" "30S" => "RSI 30s" "1" => "RSI 1m:" "3" => "RSI 3m:" "5" => "RSI 5m:" "15" => "RSI 15m:" "30" => "RSI 30m" "45" => "RSI 45m" "60" => "RSI 1h:" "120" => "RSI 2h:" "180" => "RSI 3h:" "240" => "RSI 4h:" "480" => "RSI 8h:" "D" => "RSI 1D:" "1D" => "RSI 1D:" "2D" => "RSI 2D:" "3D" => "RSI 2D:" "3D" => "RSI 3W:" "W" => "RSI 1W:" "1W" => "RSI 1W:" "M" => "RSI 1M:" "1M" => "RSI 1M:" "3M" => "RSI 3M:" "6M" => "RSI 6M:" "12M" => "RSI 12M:" //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Show/Hide Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings') maShowInput = input(false, title='Show MA', group='Show/Hide Settings') showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings') rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings') rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings') rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings') DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Table Settings -------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings") rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1') rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1') rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1') rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1') rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2') rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2') rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3') rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3') rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4') rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4') rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Input Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiSourceInput = input.source(close, 'Source', group='RSI Settings') rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght') rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings') rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings') rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings') rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings') rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings') rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings') rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings") maLengthInput = input.int(14, title="MA Length", group="MA Settings") maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2 //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Input Settings --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings') lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings') lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings') lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings') plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings') plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings') plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings') plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsi = ta.rsi(rsiSourceInput, rsiLengthInput) rsiprevious = rsi = request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "Bollinger Bands" => 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) rsiMA = ma(rsi, maLengthInput, maTypeInput) rsiMAPrevious = rsiMA //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Stoch RSI Settings + Calculation -------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings') smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings') smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings') lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings') lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings') colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1") colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1") StochRSI = ta.rsi(rsiSourceInput, lengthRSI) k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line d = ta.sma(k, smoothD) //Red Line //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bearColor = color.red bullColor = color.green hiddenBullColor = color.new(color.green, 50) hiddenBearColor = color.new(color.red, 50) //textColor = color.white noneColor = color.new(color.white, 100) osc = rsi plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true _inRange(cond) => bars = ta.barssince(cond == true) lbRangeMinInput <= bars and bars <= lbRangeMaxInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define Plot & Line Colors --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Create a horizontal line at a specific price level myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2) bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2) mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3) hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false) hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false) maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1) rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none) rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1) fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud") plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1) plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Divergence ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Regular Bullish // Osc: Higher Low oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Lower Low priceLL = low < ta.valuewhen(plFound, low , 1) bullCond = plotBullInput and priceLL and oscHL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Regular Bullish", linewidth=2, color=(bullCond ? bullColor : noneColor) ) plotshape( DivergenceShowInput ? bullCond ? osc : na : na, offset=-lbrInput, title="Regular Bullish Label", text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bullish // Osc: Lower Low oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Higher Low priceHL = low > ta.valuewhen(plFound, low , 1) hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Hidden Bullish", linewidth=2, color=(hiddenBullCond ? hiddenBullColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBullCond ? osc : na : na, offset=-lbrInput, title="Hidden Bullish Label", text=" H Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Regular Bearish // Osc: Lower High oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Higher High priceHH = high > ta.valuewhen(phFound, high , 1) bearCond = plotBearInput and priceHH and oscLH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Regular Bearish", linewidth=2, color=(bearCond ? bearColor : noneColor) ) plotshape( DivergenceShowInput ? bearCond ? osc : na : na, offset=-lbrInput, title="Regular Bearish Label", text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bearish // Osc: Higher High oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Lower High priceLH = high < ta.valuewhen(phFound, high , 1) hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Hidden Bearish", linewidth=2, color=(hiddenBearCond ? hiddenBearColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBearCond ? osc : na : na, offset=-lbrInput, title="Hidden Bearish Label", text=" H Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bullTF = rsi > rsi and rsi > rsi bearTF = rsi < rsi and rsi < rsi bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2 bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2 bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2 bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2 bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2 bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2 bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2 bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2 bbTxt(bull,bear) => bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP' bbColor(bull,bear) => bull ? bullishColor : bear ? bearishColor : nomatchColor newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) => table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define RSI Table Setting ---------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- width_c0 = 0 width_c1 = 0 if rsiShowTable var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1) newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF1 newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF2 newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF3 newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF4 newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) //------------------------------------------------------ //--- Alerts ------------------------------------------- //------------------------------------------------------
Индикатор Pine Script®
от RandyDahlin
Buy/Sell Volume Tracker [wjdtks255]Indicator Description Function: Separates buy and sell volume based on candle direction (close ≥ open) and displays the buy−sell difference (hist_val) as a histogram. Visuals: Buy/sell bars are distinguished by user-selectable colors and opacity; two moving averages (MA1 and MA2) are shown to smooth the flow. Meaning: A positive histogram indicates buy dominance; a negative histogram indicates sell dominance. Limitation: The current separation is estimated from candle direction and may differ from execution-side (tick/trade-side) based data. Trading Rules (Summary) Conservative trend-following long Entry: Enter long when hist_val turns above 0 and MA1 crosses MA2 from below. Stop-loss: Exit if hist_val falls back below 0 or MA1 drops below MA2. Take-profit: Use a risk:reward of 1:1.5 or set targets based on ATR. Short-term rebound long Entry: Enter a short-term long when a large negative histogram region begins to narrow and shows a recovery sign. Stop-loss: Exit if hist_val drops below the previous low or bearish candles continue. Take-profit: Prefer quick partial profit-taking. Short (sell) strategy Entry: Enter short when hist_val falls below 0 and MA1 crosses MA2 from above. Stop-loss / Take-profit: Apply the inverse rules of the long strategy. Filters and risk management Volume filter: Only accept signals when volume exceeds a fraction of average volume to reduce noise. Entry strength: Require |hist_val| to exceed a historical average threshold (e.g., avg(|hist_val|, N) × factor) to strengthen signals. Position sizing: Size positions so that account risk per trade is within limits (e.g., 1–2% of account equity). Timeframe: Use short timeframes for scalping and 1h+ for swing trading.
Индикатор Pine Script®
от wjdtks255
1
BX-Indicator The BX-ndicator is a comprehensive multi-timeframe technical analysis tool that combines trend-following, momentum, and volatility indicators to provide traders with clear visual signals for market analysis and decision-making. Key Components 1. TEMA (Triple Exponential Moving Average) TEMA21 (Yellow line): Fast-reacting trend indicator that reduces lag compared to traditional moving averages TEMA55 (Red line): Medium-term trend confirmation line These lines help identify short to medium-term trend direction and momentum shifts 2. Moving Average System MA21 (Green): Short-term trend reference MA34 (Orange): Swing trading reference MA55 (Magenta): Medium-term trend line MA89 (Blue): Intermediate trend filter MA144 (Dark Red): Long-term trend baseline 3. Exponential Moving Averages (EMA) EMA21 (Dark Green): Fast exponential trend EMA55 (Purple): Medium exponential trend EMA144 (Pink): Long-term exponential support/resistance 4. Dynamic Bands (Filled Zones) Three colored bands provide visual trend zones: Green Band (21-period): SMA21/EMA21 envelope - short-term volatility zone Purple Band (55/62-period): SMA55/SMA62 envelope - medium-term consolidation zone Red Band (144/233-period): EMA144/EMA233 envelope - long-term trend channel 5. VWAP (Volume Weighted Average Price) White line representing the average price weighted by volume Resets based on selected anchor period (Session/Week/Month/Year/All Time) Critical reference point for institutional trading levels 6. Bollinger Bands 21-period SMA with 2 standard deviation bands (Cyan lines) Measures price volatility and identifies overbought/oversold conditions Helps identify potential breakout or mean reversion opportunities Trading Applications Trend Identification: Multiple MA/EMA crossovers confirm trend direction Support/Resistance: Dynamic bands and VWAP provide key price levels Volatility Assessment: Bollinger Bands measure market volatility expansion/contraction Entry/Exit Timing: TEMA lines provide early trend reversal signals Risk Management: Colored bands help visualize position relative to different timeframe trends
Индикатор Pine Script®
от xaubtcdxy
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens. It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility. How it works • Premium (%) = (Perp – Spot) ÷ Spot × 100 The script fetches both spot and perpetual prices and calculates their percentage difference each minute. • Rolling Mean & Z-Score Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is. • Dynamic ±2σ Bands highlight statistically extreme premiums or discounts. • Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows. Colour & Label Interpretation Visual cue Meaning Trading Implication 🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening 🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation ⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk ⚪ Grey bars Neutral Balanced conditions Alerts • Bull Pressure Alert → funding & premium rising (momentum building) • Bear Pressure Alert → premium falling (deleveraging) • Extreme Premium Alert → crowded longs; potential top • Extreme Discount Alert → capitulation; possible bottom Use case Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules: • Enter only when your oscillators are low → curling up and Bull Pressure triggers. • Trim or exit when Bear Pressure or Extreme Premium appears. • Watch for Extreme Discount during flushes as an early bottoming clue.
Индикатор Pine Script®
от TokenTrendTracker
Livelli OI-PNCOI-PNC Levels is a script that displays the open interest (OI) and net short positions (PNC) of a selection of 20 of the most significant stocks in terms of traded value on the Italian market. PNC are indicated by red dotted lines starting from the close of the last reported change date; The most significant open interest by number of contracts (Top 10 Calls and Top 10 Puts) are displayed using labels, all on a single line (Strike, CALL, PUT); A summary table can be activated. the data is hardcoded using static arrays and must be updated periodically. Data updated of 03/11/2025 ########### Italiano ############ Livelli OI-PNC è uno script che permette di visualizzare gli open interest (OI) e le Posizioni Nette Corte (PNC) di una selezione di 20 titoli tra i più significativi per controvalore movimentato del mercato italiano. Le PNC vengono indicate tramite Linee tratteggiate rosse che partono dal close della data di ultima variazione comunicata; Sono riportati tramite labels, gli Open Interest più significativi per num.Contratti (Top 10 Call e top 10 Put) tutto su una unica riga per ogni strike (Strike, CALL, PUT); E' attivabile una Tabella di riepilogo. Poiché Pine Script non può leggere direttamente file da URL esterni, i dati sono hardcorati tramite array statici e vanno aggiornati periodicamente. Dati aggiornati al 03/11/2025
Индикатор Pine Script®
от Peiorg
OmniTraderOmniTrader — What It Does A pragmatic intraday toolkit that keeps your chart readable while surfacing the levels traders actually use: EMAs across timeframes, VWAP, yesterday’s high/low, Asian/London/NY session ranges, and a configurable Opening Range Breakout (ORB). Multi-Timeframe EMAs (EMA 1 & 2) — Pick any TF per EMA (e.g., 5m EMA on a 1m chart). VWAP — Toggle on/off for quick mean/flow context. Session High/Low (live → frozen) Tracks Asian / London / New York in your chart/exchange timezone. Rays auto-extend; labels optional. Previous Day High/Low — Daily levels with optional labels; auto-resets each new day. Opening Range Breakout (ORB) Choose session (NY/London/Asian) and 15m or 30m window. Levels update live during the window, then lock. Separate colors for ORB High & ORB Low + labels. Style & Clarity Controls — Per-group color pickers, line width/style, label size & visibility. Designed to minimize clutter while keeping essentials visible.
Индикатор Pine Script®
от hankthuhtank
Buy on Blue, Sell on Red (EMA + optional RSI) TyusEThis indicator is a trend-following system that helps traders identify potential buy and sell opportunities using a combination of EMA crossovers and an optional RSI filter for confirmation. It plots: 🔵 Blue dots (BUY signals) when the fast EMA crosses above the slow EMA — signaling bullish momentum. 🔴 Red dots (SELL signals) when the fast EMA crosses below the slow EMA — signaling bearish momentum. You can optionally filter these signals using the RSI (Relative Strength Index) to avoid false breakouts — for example, only taking BUY signals when RSI is above 55 (showing strength) and SELL signals when RSI is below 45 (showing weakness). ⚙️ Features Adjustable Fast EMA and Slow EMA lengths Optional RSI confirmation filter Customizable RSI thresholds for entries “Confirm on bar close” setting to reduce repainting Built-in alert conditions for real-time notifications 💡 How to Use Use blue dots as potential long entries and red dots as potential short entries. Confirm direction with overall trend, structure, or higher timeframe alignment. Combine with support/resistance, volume, or price action for best results. ⚠️ Note This is a technical tool, not financial advice. Always backtest and use proper risk management before trading live markets. T.E
Индикатор Pine Script®
от Tyusearly1995
Volume Area 80 Rule Pro - Adaptive RTHSummary in one paragraph Adaptive value area 80 percent rule for index futures large cap equities liquid crypto and major FX on intraday timeframes. It focuses activity only when multiple context gates align. It is original because the classic prior day value area traverse is fused with a daily regime classifier that remaps the operating parameters in real time. Scope and intent • Markets. ES NQ SPY QQQ large cap equities BTC ETH major FX pairs and other liquid RTH instruments • Timeframes. One minute to one hour with daily regime context • Default demo used in the publication. ES1 on five minutes • Purpose. Trade only the balanced days where the 80 percent traverse has edge while standing aside or tightening rules during trend or shock Originality and usefulness • Unique fusion. Prior day value area logic plus a rolling daily regime classifier using percentile ranks of realized volatility and ADX. The regime remaps hold time end of window stop buffer and value area coverage on each session • Failure mode addressed. False starts during strong trend or shock sessions and weak traverses during quiet grind • Testability. All gates are visible in Inputs and debug flags can be plotted so users can verify why a suggestion appears • Portable yardstick. The regime uses ATR divided by close and ADX percent ranks which behave consistently across symbols Method overview in plain language The script builds the prior session profile during regular trading hours. At the first regular bar it freezes yesterday value area low value area high and point of control. It then evaluates the current session open location the first thirty minute volume rank the open gap rank and an opening drive test. In parallel a daily series classifies context into Calm Balance Trend or Shock from rolling percentile ranks of realized volatility and ADX. The classifier scales the rules. Calm uses longer holds and a slightly wider value area. Trend and Shock shorten the window reduce holds and enlarge stop buffers. Base measures • Range basis. True Range smoothed over a configurable length on both the daily and intraday series • Return basis. Not required. ATR over close is the unit for regime strength Components • Prior Value Area Engine. Builds yesterday value area low value area high and point of control from a binned volume profile with automatic TPO fallback and minimum integrity guards • Opening Location. Detects whether the session opens above the prior value area or below it • Inside Hold Counter. Counts consecutive bars that hold inside the value area after a re entry • Volume Gate. Percentile of the first thirty minutes volume over a rolling sample • Gap Gate. Percentile rank of the regular session open gap over a rolling sample • Drive Gate. Opening drive check using a multiple of intraday ATR • Regime Classifier. Percentile ranks of daily ATR over close and daily ADX classify Calm Balance Trend Shock and remap parameters • Session windows optional. Windows follow the chart exchange time Fusion rule Minimum satisfied gates approach. A re entry must hold inside the value area for a regime scaled number of bars while the volume gap and drive gates allow the setup. The regime simultaneously scales value area coverage end minute time stop and stop buffer. Signal rule • Long suggestion appears when price opens below yesterday value area then re enters and holds for the required bars while all gates allow the setup • Short suggestion appears when price opens above yesterday value area then re enters and holds for the required bars while all gates allow the setup • WAIT shows implicitly when any required gate is missing • Exit labels mark target touch stop touch or a time based close Inputs with guidance Setup • Signal timeframe. Uses the chart by default • Session windows optional. Start and end minutes inside regular trading hours • Invert direction is not used. The logic is symmetric Logic • Hold bars inside value area. Typical range 3 to 12. Raising it reduces trades and favors better traverses. Lowering it increases frequency and risk of false starts • Earliest minute since RTH open and Latest minute since RTH open. Typical range 0 to 390. Reducing the latest minute cuts late session trades • Time stop bars after entry. Typical range 6 to 30. Larger values give setups more room Filters • Value area coverage. Typical range 0.70 to 0.85. Higher coverage narrows the traverse but accepts fewer days • Bin size in ticks. Typical range 1 to 8. Larger bins stabilize noisy profiles • Stop buffer ticks beyond edge. Typical range 2 to 20. Larger buffers survive noise • First thirty minute volume percentile. Typical range 0.30 to 0.70. Higher values require more active opens • Gap filter percentile. Typical range 0.70 to 0.95. Lower values block more gap days • Opening drive multiple and bars. Higher multiple or longer bars block strong directional opens Adaptivity • Lookback days for regime ranks. Typical 150 to 500 • Calm RV percentile. Typical 25 to 45 • Trend ADX percentile. Typical 55 to 75 • Shock RV percentile. Typical 75 to 90 • End minute ratio in Trend and Shock. Typical 0.5 to 0.8 • Hold and Time stop scales per regime. Use values near one to keep behavior close to static settings Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Sessions use the chart exchange time Honest limitations and failure modes • Economic releases and thin liquidity can break the balance premise • Gap heavy symbols may work better with stronger gap filters and a True Range focus • Very quiet regimes reduce signal contrast. Consider longer windows or higher thresholds Legal Education and research only. Not investment advice. Test in simulation before any live use.
Индикатор Pine Script®
от exlux
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model) 🔍 Purpose The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where: 0 represents Extreme Fear (capitulation, oversold conditions), and 100 represents Extreme Greed (euphoria, overbought conditions). It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment. ⚙️ How It Works in TradingView Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology. It uses a multi-factor model, converting price and volume signals into a composite sentiment score. 🧩 Components Used (Simulated Metrics) Category Metric Emotional Interpretation Volatility ATR (Average True Range) High ATR = Fear, Low ATR = Greed Momentum RSI + MACD Histogram Rising momentum = Greed, Falling = Fear Volume Activity Volume Z-Score High positive deviation = Greed, Low = Fear Trend Context SMA Regime Bias (50/200) Downtrend adds Fear penalty, Uptrend supports Greed These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights. ⚖️ CNN-Style Calibration The script follows CNN’s five sentiment bands for clarity: Range Zone Colour Description 0–25 Extreme Fear 🔴 Red Panic, forced selling, capitulation risk 25–45 Fear 🟠 Orange Uncertainty, hesitation, early accumulation phase 45–55 Neutral ⚪ Gray Balanced sentiment, indecision 55–75 Greed 🟢 Light Green Optimism, trend continuation 75–100 Extreme Greed 💚 Bright Green Euphoria, risk of reversal This structure aligns visually with CNN’s public gauge, making it easy to interpret.
Индикатор Pine Script®
от thriftyLion65492
NQ YM Correlogram Meter TypeOverview This indicator provides a real-time, visual "meter" of the correlation between the Nasdaq 100 (NQ) and the Dow Jones (YM) futures. It is designed as a clean, non-intrusive dashboard panel that displays only the current correlation value, making it an ideal companion for pairs traders who need to see the live relationship at a glance. Unlike a traditional oscillator that plots historical data, this tool focuses exclusively on the "right now" to aid in immediate trade decisions. Key Features Real-Time Correlation Meter: A single vertical bar displays the current correlation, visually mapping the -1.0 to +1.0 range. Clear Visual Cues: The bar's color gradient (from red for negative correlation to green for positive correlation) and fill level provide an instant understanding of the market relationship. Precise Value Display: The exact numerical correlation (e.g., 0.85 or -0.50) is shown clearly at the bottom of the meter. Contextual Y-Axis: Static labels (+1.0, +0.5, 0.0, -0.5) provide quick reference points for the meter's reading. Dashboard Panel: Renders cleanly as an overlay table on the right side of your chart, saving screen real estate. How to Use This indicator is best used as a confirmation tool alongside a primary pairs trading strategy or a historical correlation oscillator. High Green Bar (near +1.0): Indicates a strong positive correlation. NQ and YM are moving in sync. Bar near 0.0: Indicates little to no linear relationship. Low Red Bar (near -1.0): Indicates a strong negative (inverse) correlation. NQ and YM are moving in opposite directions. For a pairs trader, this meter provides an instant check to confirm if the two assets are in their expected state of correlation at the moment of execution. Settings & Customization Correlation Period: Set the lookback length for the correlation calculation. Symbols: Fully customizable, though it defaults to YM1! and NQ1!. Panel Appearance: Adjust the Table Size (Small/Large) and Chart Theme (Light/Dark). Text Size: Independently control the font size for the numerical Value Text and the Y-Axis Labels to perfectly fit your display.
Индикатор Pine Script®
от coldFish52
NQ YM Correlation 1 min dataOverview This indicator plots the correlation between Nasdaq 100 (NQ) and Dow Jones (YM) futures. It is specifically designed to act as an "Engine RPM" gauge for pairs traders who trade divergence or spread breakouts—not mean reversion. To ensure consistent readings, this indicator always calculates using a 1-minute timeframe data, regardless of the chart timeframe you are currently viewing. The core idea is: High Correlation (Blue Zone): "Low RPM" or "Engine Idle." NQ and YM are moving together. The spread is flat. This is a no-trade zone. Low Correlation (Red Zone): "High RPM" or "Engine Hot." NQ and YM are diverging. The spread is moving. This is the primary trade zone.
Индикатор Pine Script®
от coldFish52
Dual Harmonic-based AHR DCA (Default :BTC-ETH)A panel indicator designed for dual-asset BTC/ETH DCA (Dollar Cost Averaging) decisions. It is inspired by the Chinese community indicator "AHR999" proposed by “Jiushen”. How to use: Lower HM-based AHR → cheaper (potential buy zone). Higher HM-based AHR → more expensive (potential risk zone). Higher than Risk Threshold → consider to sell, but not suitable for DCA. When both AHR lines are below the Risk threshold → buy the cheaper one (or split if similar). If one AHR is above Risk → buy the other asset. If both are above Risk → simulation shows “STOP (both risk)”. Not limited to BTC/ETH — you can freely change symbols in the input panel to build any dual-asset DCA pair you want (e.g., BTC/BNB, ETH/SOL, etc.). What you’ll see: Two lines: AHR BTC (HM) and AHR ETH (HM) Two dashed lines: OppThreshold (green) and RiskThreshold (red) Colored fill showing which asset is cheaper (BTC or ETH) Buy markers: - B = Buy BTC - E = Buy ETH - D = Dual (split budget) Top-right table: prices, AHRs, thresholds, qOpp/qRisk%, simulation, P&L Labels showing last-bar AHR values Core idea: Use an AHR based on Harmonic Moving Average (HM) — a ratio that measures how “cheap or expensive” price is relative to both its short-term mean and long-term trend. The original AHR999 used SMA and was designed for BTC only. This indicator extends it with cross-exchange percentile mapping, allowing the empirical “opportunity/risk” zones of the AHR999 (on Bitstamp) to adapt automatically to the current market pair. The indicator derives two adaptive thresholds: OppThreshold – opportunity zone RiskThreshold – risk zone These thresholds are compared with the current HM-based AHR of BTC and ETH to decide which asset is cheaper, and whether it is good to DCA or not, or considering to sell(When it in risk area). This version uses Display base: Binance (default: perpetual) with HM-based AHR Percentile base: Bitstamp spot SMA-AHR (complete, stable history) Rolling window: 2920 daily bars (~8 years) for percentile tracking Concept summary AHR measures the ratio of price to its long-term regression and short-term mean. HM replaces SMA to better reflect equal-fiat-cost DCA behavior. Cross-exchange percentile mapping (Bitstamp → Binance) keeps thresholds consistent with the original AHR999 interpretation. Recommended settings (1D): DCA length (harmonic): 200 Log-regression lookback: 1825 (≈5 years) Rolling window: 2920 (≈8 years) Reference thresholds: 0.45 / 1.20 (AHR999 empirical priors) Tie split tolerance (ΔAHR): 0.05 Daily budget: 15 USDT (simulation) All display options can be toggled: table, markers, labels, etc. Notes: When the rolling window is filled (2920 bars by default), thresholds are first calculated and then visually backfilled as left-extended lines. The “buy markers” and “decision table” are light simulations without fees or funding costs — for rhythm and relative analysis, not backtesting.
Индикатор Pine Script®
от Anoria_4RICH
1
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances. Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
Стратегия Pine Script®
от gerasymenko_nazarr
3
Minervini breakout - AndurilThis indicator checks the Mark Minerivini trend template as well checks consolidation areas and breakout. Checks the highest closing price of last x days (default 20 days), exluding current day and draws a white dashed line, Calculates the relative volume of the current day. Calculates EMA 21, EMA50 and EMA200 and draws on the graph to define trend. Gives a buy signal in green (writing relative strength of that day inside of green arrow) if: 1)       Current price> breakout price* 0.98 2)       Current price > EMA21 >EMA50>EMA200 3)       Current price > 52 week high*0.75 4)       Current price > 52 week low*1.3 5)       EMA 200 of today > EMA 200 of 10 bar ago > EMA 200 of 20 bar ago 6)       Relative volume of the day > 1.5
Индикатор Pine Script®
от ozgenaltintas