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Implied Volatility RangeThe Implied Volatility Range is a forward-looking tool that transforms option market data into probability ranges for future prices. Based on the lognormal distribution of asset prices assumed in modern option pricing models, it converts the implied volatility curve into a volatility cone with dynamic labels that show the market’s expectations for the price distribution at a specific point in time. At the selected future date, it displays projected price levels and their percentage change from today’s close across 1, 2, and 3 standard deviation (σ) ranges: 1σ range = ~68.2% probability the price will remain within this range. 2σ range = ~95.4% probability the price will remain within this range. 3σ range = ~99.7% probability the price will remain within this range. What makes this indicator especially useful is its ability to incorporate implied volatility skew. When only ATM IV (%) is entered, the indicator displays the standard Black–Scholes lognormal distribution. By adding High IV (%) and Low IV (%) values tied to strikes above and below the current price, the indicator interpolates between these inputs to approximate the implied volatility skew. This adjustment produces a market-implied probability distribution that indicates whether the option market is leaning bullish or bearish, based on the data entered in the menu: ATM IV (%) = Implied volatility at the current spot price (at-the-money). High IV (%) = Implied volatility at a strike above the current spot price. High Strike = Strike price corresponding to the High IV input (OTM call). Low IV (%) = Implied volatility at a strike below the current spot price. Low Strike = Strike price corresponding to the Low IV input (OTM put). Expiration (Day, Month, Year) = Option expiration date for the projection. Once these inputs are entered, the indicator calculates implied probability ranges and, if both High IV and Low IV values are provided, adjusts for skew to approximate the option market’s distribution. If no implied volatility data is supplied, the indicator defaults to a lognormal distribution based on historical volatility, using past realized volatility over the same forward horizon. This keeps the tool functional even without implied volatility inputs, though in that case the output represents only an approximation of ATM IV, not the actual market view. In summary, the Implied Volatility Range is a powerful tool that translates implied volatility inputs into a clear and practical estimate of the market’s expectations for future prices. It allows traders to visualize the probability of price ranges while also highlighting directional bias, a dimension often difficult to interpret from traditional implied volatility charts. It should be emphasized, however, that this tool reflects only the market’s expectations at a specific point in time, which may change as new information and trading activity reshape implied volatility.
Indicador Pine Script®
por QuantitativeAlpha
1
MACD ProThe MACD Pro is a modern take on the classic MACD, designed to give traders deeper insights into market momentum, trend conditions, and potential turning points. While it keeps the standard MACD foundation, it introduces a few enhancements to make it more adaptive and visually intuitive. At its core, the indicator calculates the traditional MACD line, Signal line and Histogram. The histogram can be optionally displayed. One of the things that set this version apart is the addition of the MACD Leader, an optional feature that makes the MACD more responsive to price action. By applying an adaptive smoothing factor (Leader Sensitivity), the Leader line can provide earlier momentum cues compared to the standard MACD and help anticipate shifts before they become obvious on a standard MACD indicator. Another enhancement is the regime-based color system for the MACD line. Instead of simply coloring based on the MACD or histogram itself, this indicator identifies the overall market regime using momentum and trend strength conditions. Bullish Regime: Momentum is positive and trend strength is above average. Bearish Regime: Momentum is negative and trend strength is above average. Sideways Regime: Momentum remains weak and within noise levels. This regime detection allows the MACD line to visually adapt, giving traders an extra layer of context beyond standard MACD signals to blend momentum analysis with market conditions, helping distinguish between trending and ranging environments.
Indicador Pine Script®
por VEGAlgo
Price Action Concepts [RUDYINDICATOR]/// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org // © RUDYBANK INDICATOR - formerly know as RUDY INDICATOR //@version=5 indicator("Price Action Concepts ", shorttitle = "RUDYINDICATOR-V1 - Price Action RUDYINDICATOR ", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100) //-----------------------------------------------------------------------------{ //Boolean set //-----------------------------------------------------------------------------{ s_BOS = 0 s_CHoCH = 1 i_BOS = 2 i_CHoCH = 3 i_pp_CHoCH = 4 green_candle = 5 red_candle = 6 s_CHoCHP = 7 i_CHoCHP = 8 boolean = array.from( false , false , false , false , false , false , false , false , false ) //-----------------------------------------------------------------------------{ // User inputs //-----------------------------------------------------------------------------{ show_swing_ms = input.string ("All" , "Swing        " , inline = "1", group = "MARKET STRUCTURE" , options = ) show_internal_ms = input.string ("All" , "Internal     " , inline = "2", group = "MARKET STRUCTURE" , options = ) internal_r_lookback = input.int (5 , "" , inline = "2", group = "MARKET STRUCTURE" , minval = 2) swing_r_lookback = input.int (50 , "" , inline = "1", group = "MARKET STRUCTURE" , minval = 2) ms_mode = input.string ("Manual" , "Market Structure Mode" , inline = "a", group = "MARKET STRUCTURE" , tooltip = " Use selected lenght Use automatic lenght" ,options = ) show_mtf_str = input.bool (true , "MTF Scanner" , inline = "9", group = "MARKET STRUCTURE" , tooltip = "Display Multi-Timeframe Market Structure Trend Directions. Green = Bullish. Red = Bearish") show_eql = input.bool (false , "Show EQH/EQL" , inline = "6", group = "MARKET STRUCTURE") plotcandle_bool = input.bool (false , "Plotcandle" , inline = "3", group = "MARKET STRUCTURE" , tooltip = "Displays a cleaner colored candlestick chart in place of the default candles. (requires hiding the current ticker candles)") barcolor_bool = input.bool (false , "Bar Color" , inline = "4", group = "MARKET STRUCTURE" , tooltip = "Color the candle bodies according to market strucutre trend") i_ms_up_BOS = input.color (#089981 , "" , inline = "2", group = "MARKET STRUCTURE") i_ms_dn_BOS = input.color (#f23645 , "" , inline = "2", group = "MARKET STRUCTURE") s_ms_up_BOS = input.color (#089981 , "" , inline = "1", group = "MARKET STRUCTURE") s_ms_dn_BOS = input.color (#f23645 , "" , inline = "1", group = "MARKET STRUCTURE") lvl_daily = input.bool (false , "Day   " , inline = "1", group = "HIGHS & LOWS MTF") lvl_weekly = input.bool (false , "Week " , inline = "2", group = "HIGHS & LOWS MTF") lvl_monthly = input.bool (false , "Month" , inline = "3", group = "HIGHS & LOWS MTF") lvl_yearly = input.bool (false , "Year  " , inline = "4", group = "HIGHS & LOWS MTF") css_d = input.color (color.blue , "" , inline = "1", group = "HIGHS & LOWS MTF") css_w = input.color (color.blue , "" , inline = "2", group = "HIGHS & LOWS MTF") css_m = input.color (color.blue , "" , inline = "3", group = "HIGHS & LOWS MTF") css_y = input.color (color.blue , "" , inline = "4", group = "HIGHS & LOWS MTF") s_d = input.string ('⎯⎯⎯' , '' , inline = '1', group = 'HIGHS & LOWS MTF' , options = ) s_w = input.string ('⎯⎯⎯' , '' , inline = '2', group = 'HIGHS & LOWS MTF' , options = ) s_m = input.string ('⎯⎯⎯' , '' , inline = '3', group = 'HIGHS & LOWS MTF' , options = ) s_y = input.string ('⎯⎯⎯' , '' , inline = '4', group = 'HIGHS & LOWS MTF' , options = ) ob_show = input.bool (true , "Show Last    " , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volumetric order blocks on the chart Ammount of volumetric order blocks to show") ob_num = input.int (5 , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Orderblocks number", minval = 1, maxval = 10) ob_metrics_show = input.bool (true , "Internal Buy/Sell Activity" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volume metrics that have formed the orderblock") css_metric_up = input.color (color.new(#089981, 50) , "         " , inline = "2", group = "VOLUMETRIC ORDER BLOCKS") css_metric_dn = input.color (color.new(#f23645 , 50) , "" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS") ob_swings = input.bool (false , "Swing Order Blocks" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display swing volumetric order blocks") css_swing_up = input.color (color.new(color.gray , 90) , "                 " , inline = "a", group = "VOLUMETRIC ORDER BLOCKS") css_swing_dn = input.color (color.new(color.silver, 90) , "" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS") ob_filter = input.string ("None" , "Filtering             " , inline = "d", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Filter out volumetric order blocks by BOS/CHoCH/CHoCH+", options = ) ob_mitigation = input.string ("Absolute" , "Mitigation           " , inline = "4", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Trigger to remove volumetric order blocks", options = ) ob_pos = input.string ("Precise" , "Positioning          " , inline = "k", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Position of the Order Block Cover the whole candle Cover half candle Adjust to volatility Same as Accurate but more precise", options = ) use_grayscale = input.bool (false , "Grayscale" , inline = "6", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Use gray as basic order blocks color") use_show_metric = input.bool (true , "Show Metrics" , inline = "7", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show volume associated with the orderblock and his relevance") use_middle_line = input.bool (true , "Show Middle-Line" , inline = "8", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show mid-line order blocks") use_overlap = input.bool (true , "Hide Overlap" , inline = "9", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Hide overlapping order blocks") use_overlap_method = input.string ("Previous" , "Overlap Method    " , inline = "Z", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = " Preserve the most recent volumetric order blocks Preserve the previous volumetric order blocks", options = ) ob_bull_css = input.color (color.new(#089981 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS") ob_bear_css = input.color (color.new(#f23645 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS") show_acc_dist_zone = input.bool (false , "" , inline = "1", group = "Accumulation And Distribution") zone_mode = input.string ("Fast" , "" , inline = "1", group = "Accumulation And Distribution" , tooltip = " Find small zone pattern formation Find bigger zone pattern formation" ,options = ) acc_css = input.color (color.new(#089981 , 60) , "" , inline = "1", group = "Accumulation And Distribution") dist_css = input.color (color.new(#f23645 , 60) , "" , inline = "1", group = "Accumulation And Distribution") show_lbl = input.bool (false , "Show swing point" , inline = "1", group = "High and Low" , tooltip = "Display swing point") show_mtb = input.bool (false , "Show High/Low/Equilibrium" , inline = "2", group = "High and Low" , tooltip = "Display Strong/Weak High And Low and Equilibrium") toplvl = input.color (color.red , "Premium Zone   " , inline = "3", group = "High and Low") midlvl = input.color (color.gray , "Equilibrium Zone" , inline = "4", group = "High and Low") btmlvl = input.color (#089981 , "Discount Zone    " , inline = "5", group = "High and Low") fvg_enable = input.bool (false , "        " , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap") what_fvg = input.string ("FVG" , "" , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap", options = ) fvg_num = input.int (5 , "Show Last  " , inline = "1a", group = "FAIR VALUE GAP" , tooltip = "Number of fvg to show") fvg_upcss = input.color (color.new(#089981, 80) , "" , inline = "1", group = "FAIR VALUE GAP") fvg_dncss = input.color (color.new(color.red , 80) , "" , inline = "1", group = "FAIR VALUE GAP") fvg_extend = input.int (10 , "Extend FVG" , inline = "2", group = "FAIR VALUE GAP" , tooltip = "Extend the display of the FVG.") fvg_src = input.string ("Close" , "Mitigation  " , inline = "3", group = "FAIR VALUE GAP" , tooltip = " Use the close of the body as trigger Use the extreme point of the body as trigger", options = ) fvg_tf = input.timeframe ("" , "Timeframe " , inline = "4", group = "FAIR VALUE GAP" , tooltip = "Timeframe of the fair value gap") t = color.t (ob_bull_css) invcol = color.new (color.white , 100) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - UDT } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} type bar float o = open float c = close float h = high float l = low float v = volume int n = bar_index int t = time type Zphl line top line bottom label top_label label bottom_label bool stopcross bool sbottomcross bool itopcross bool ibottomcross string txtup string txtdn float topy float bottomy float topx float bottomx float tup float tdn int tupx int tdnx float itopy float itopx float ibottomy float ibottomx float uV float dV type FVG box box line ln bool bull float top float btm int left int right type ms float p int n float l type msDraw int n float p color css string txt bool bull type obC float top float btm int left float avg float dV float cV int wM int blVP int brVP int dir float h float l int n type obD box ob box eOB box blB box brB line mL type zone chart.point points float p int c int t type hqlzone box pbx box ebx box lbx label plb label elb label lbl type ehl float pt int t float pb int b type pattern string found = "None" bool isfound = false int period = 0 bool bull = false type alerts bool chochswing = false bool chochplusswing = false bool swingbos = false bool chochplus = false bool choch = false bool bos = false bool equal = false bool ob = false bool swingob = false bool zone = false bool fvg = false bool obtouch = false //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - General Setup } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} bar b = bar.new() var pattern p = pattern.new() alerts blalert = alerts.new() alerts bralert = alerts.new() if p.isfound p.period += 1 if p.period == 50 p.period := 0 p.found := "None" p.isfound := false p.bull := na switch b.c > b.o => boolean.set(green_candle, true) b.c < b.o => boolean.set(red_candle , true) f_zscore(src, lookback) => (src - ta.sma(src, lookback)) / ta.stdev(src, lookback) var int iLen = internal_r_lookback var int sLen = swing_r_lookback vv = f_zscore(((close - close ) / close ) * 100,iLen) if ms_mode == "Dynamic" switch vv >= 1.5 or vv <= -1.5 => iLen := 10 vv >= 1.6 or vv <= -1.6 => iLen := 9 vv >= 1.7 or vv <= -1.7 => iLen := 8 vv >= 1.8 or vv <= -1.8 => iLen := 7 vv >= 1.9 or vv <= -1.9 => iLen := 6 vv >= 2.0 or vv <= -2.0 => iLen := 5 => iLen var msline = array.new(0) iH = ta.pivothigh(high, iLen, iLen) sH = ta.pivothigh(high, sLen, sLen) iL = ta.pivotlow (low , iLen, iLen) sL = ta.pivotlow (low , sLen, sLen) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - ARRAYS } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} hl () => = request.security(syminfo.tickerid , 'D' , hl() , lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid , 'W' , hl() , lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid , 'M' , hl() , lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid , '12M', hl() , lookahead = barmerge.lookahead_on) lstyle(style) => out = switch style '⎯⎯⎯' => line.style_solid '----' => line.style_dashed '····' => line.style_dotted mtfphl(h, l ,tf ,css, pdhl_style) => var line hl = line.new( na , na , na , na , xloc = xloc.bar_time , color = css , style = lstyle(pdhl_style) ) var line ll = line.new( na , na , na , na , xloc = xloc.bar_time , color = css , style = lstyle(pdhl_style) ) var label lbl = label.new( na , na , xloc = xloc.bar_time , text = str.format('P{0}L', tf) , color = invcol , textcolor = css , size = size.small , style = label.style_label_left ) var label hlb = label.new( na , na , xloc = xloc.bar_time , text = str.format('P{0}H', tf) , color = invcol , textcolor = css , size = size.small , style = label.style_label_left ) hy = ta.valuewhen(h != h , h , 1) hx = ta.valuewhen(h == high , time , 1) ly = ta.valuewhen(l != l , l , 1) lx = ta.valuewhen(l == low , time , 1) if barstate.islast extension = time + (time - time ) * 50 line.set_xy1(hl , hx , hy) line.set_xy2(hl , extension , hy) label.set_xy(hlb, extension , hy) line.set_xy1(ll , lx , ly) line.set_xy2(ll , extension , ly) label.set_xy(lbl, extension , ly) if lvl_daily mtfphl(pdh , pdl , 'D' , css_d, s_d) if lvl_weekly mtfphl(pwh , pwl , 'W' , css_w, s_w) if lvl_monthly mtfphl(pmh , pml, 'M' , css_m, s_m) if lvl_yearly mtfphl(pyh , pyl , '12M', css_y, s_y) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - Market Structure } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} method darkcss(color css, float factor, bool bull) => blue = color.b(css) * (1 - factor) red = color.r(css) * (1 - factor) green = color.g(css) * (1 - factor) color.rgb(red, green, blue, 0) method f_line(msDraw d, size, style) => var line id = na var label lbl = na id := line.new( d.n , d.p , b.n , d.p , color = d.css , width = 1 , style = style ) if msline.size() >= 250 line.delete(msline.shift()) msline.push(id) lbl := label.new( int(math.avg(d.n, b.n)) , d.p , d.txt , color = invcol , textcolor = d.css , style = d.bull ? label.style_label_down : label.style_label_up , size = size , text_font_family = font.family_monospace ) structure(bool mtf) => msDraw drw = na bool isdrw = false bool isdrwS = false var color css = na var color icss = na var int itrend = 0 var int trend = 0 bool bull_ob = false bool bear_ob = false bool s_bull_ob = false bool s_bear_ob = false n = bar_index var ms up = ms.new( array.new() , array.new< int >() , array.new() ) var ms dn = ms.new( array.new() , array.new< int >() , array.new() ) var ms sup = ms.new( array.new() , array.new< int >() , array.new() ) var ms sdn = ms.new( array.new() , array.new< int >() , array.new() ) switch show_swing_ms "All" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, true ) "CHoCH" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, false ) "CHoCH+" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, true ) "BOS" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false ) "None" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false ) => na switch show_internal_ms "All" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, true ) "CHoCH" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, false) "CHoCH+" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, true ) "BOS" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false) "None" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false) => na switch iH => up.p.unshift(b.h ) up.l.unshift(b.h ) up.n.unshift(n ) iL => dn.p.unshift(b.l ) dn.l.unshift(b.l ) dn.n.unshift(n ) sL => sdn.p.unshift(b.l ) sdn.l.unshift(b.l ) sdn.n.unshift(n ) sH => sup.p.unshift(b.h ) sup.l.unshift(b.h ) sup.n.unshift(n ) // INTERNAL BULLISH STRUCTURE if up.p.size() > 0 and dn.l.size() > 1 if ta.crossover(b.c, up.p.first()) bool CHoCH = na string txt = na if itrend < 0 CHoCH := true switch not CHoCH => txt := "BOS" css := i_ms_up_BOS blalert.bos := true if boolean.get(i_BOS) and mtf == false and na(drw) isdrw := true drw := msDraw.new( up.n.first() , up.p.first() , i_ms_up_BOS , txt , true ) CHoCH => dn.l.first() > dn.l.get(1) ? blalert.chochplus : blalert.choch txt := dn.l.first() > dn.l.get(1) ? "CHoCH+" : "CHoCH" css := i_ms_up_BOS.darkcss(0.25, true) if (dn.l.first() > dn.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw) isdrw := true drw := msDraw.new( up.n.first() , up.p.first() , i_ms_up_BOS.darkcss(0.25, true) , txt , true ) if mtf == false switch ob_filter == "None" => bull_ob := true ob_filter == "BOS" and txt == "BOS" => bull_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => bull_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => bull_ob := true itrend := 1 up.n.clear() up.p.clear() // INTERNAL BEARISH STRUCTURE if dn.p.size() > 0 and up.l.size() > 1 if ta.crossunder(b.c, dn.p.first()) bool CHoCH = na string txt = na if itrend > 0 CHoCH := true switch not CHoCH => bralert.bos := true txt := "BOS" css := i_ms_dn_BOS if boolean.get(i_BOS) and mtf == false and na(drw) isdrw := true drw := msDraw.new( dn.n.first() , dn.p.first() , i_ms_dn_BOS , txt , false ) CHoCH => if up.l.first() < up.l.get(1) bralert.chochplus := true else bralert.choch := true txt := up.l.first() < up.l.get(1) ? "CHoCH+" : "CHoCH" css := i_ms_dn_BOS.darkcss(0.25, false) if (up.l.first() < up.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw) isdrw := true drw := msDraw.new( dn.n.first() , dn.p.first() , i_ms_dn_BOS.darkcss(0.25, false) , txt , false ) if mtf == false switch ob_filter == "None" => bear_ob := true ob_filter == "BOS" and txt == "BOS" => bear_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => bear_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => bear_ob := true itrend := -1 dn.n.clear() dn.p.clear() // SWING BULLISH STRUCTURE if sup.p.size() > 0 and sdn.l.size() > 1 if ta.crossover(b.c, sup.p.first()) bool CHoCH = na string txt = na if trend < 0 CHoCH := true switch not CHoCH => blalert.swingbos := true txt := "BOS" icss := s_ms_up_BOS if boolean.get(s_BOS) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sup.n.first() , sup.p.first() , s_ms_up_BOS , txt , true ) CHoCH => if sdn.l.first() > sdn.l.get(1) blalert.chochplusswing := true else blalert.chochswing := true txt := sdn.l.first() > sdn.l.get(1) ? "CHoCH+" : "CHoCH" icss := s_ms_up_BOS.darkcss(0.25, true) if (sdn.l.first() > sdn.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sup.n.first() , sup.p.first() , s_ms_up_BOS.darkcss(0.25, true) , txt , true ) if mtf == false switch ob_filter == "None" => s_bull_ob := true ob_filter == "BOS" and txt == "BOS" => s_bull_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => s_bull_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bull_ob := true trend := 1 sup.n.clear() sup.p.clear() // SWING BEARISH STRUCTURE if sdn.p.size() > 0 and sup.l.size() > 1 if ta.crossunder(b.c, sdn.p.first()) bool CHoCH = na string txt = na if trend > 0 CHoCH := true switch not CHoCH => bralert.swingbos := true txt := "BOS" icss := s_ms_dn_BOS if boolean.get(s_BOS) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sdn.n.first() , sdn.p.first() , s_ms_dn_BOS , txt , false ) CHoCH => if sup.l.first() < sup.l.get(1) bralert.chochplusswing := true else bralert.chochswing := true txt := sup.l.first() < sup.l.get(1) ? "CHoCH+" : "CHoCH" icss := s_ms_dn_BOS.darkcss(0.25, false) if (sup.l.first() < sup.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw) isdrwS := true drw := msDraw.new( sdn.n.first() , sdn.p.first() , s_ms_dn_BOS.darkcss(0.25, false) , txt , false ) if mtf == false switch ob_filter == "None" => s_bear_ob := true ob_filter == "BOS" and txt == "BOS" => s_bear_ob := true ob_filter == "CHoCH" and txt == "CHoCH" => s_bear_ob := true ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bear_ob := true trend := -1 sdn.n.clear() sdn.p.clear() = structure(false) if isdrw f_line(drw, size.small, line.style_dashed) if isdrwS f_line(drw, size.small, line.style_solid) = request.security("", "15" , structure(true)) = request.security("", "60" , structure(true)) = request.security("", "240" , structure(true)) = request.security("", "1440" , structure(true)) if show_mtf_str var tab = table.new(position = position.top_right, columns = 10, rows = 10, bgcolor = na, frame_color = color.rgb(54, 58, 69, 0), frame_width = 1, border_color = color.rgb(54, 58, 69, 100), border_width = 1) table.cell(tab, 0, 1, text = "15" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 0, 2, text = "1H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 0, 3, text = "4H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 0, 4, text = "1D" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2) table.cell(tab, 1, 1, text = itrend15 == 1 ? "BULLISH" : itrend15 == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend15 == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend15 == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 1, 2, text = itrend1H == 1 ? "BULLISH" : itrend1H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 1, 3, text = itrend4H == 1 ? "BULLISH" : itrend4H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend4H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend4H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 1, 4, text = itrend1D == 1 ? "BULLISH" : itrend1D == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1D == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1D == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 0, 5, text = "Detected Pattern", text_halign = text.align_center, text_size = size.normal, text_color = color.silver, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.cell(tab, 0, 6, text = p.found, text_halign = text.align_center, text_size = size.normal, text_color = na(p.bull) ? color.white : p.bull ? i_ms_up_BOS.darkcss(-0.25, true) : p.bull == false ? i_ms_dn_BOS.darkcss(0.25, false) : na, bgcolor = chart.bg_color, text_font_family = font.family_monospace) table.merge_cells(tab, 0, 5, 1, 5) table.merge_cells(tab, 0, 6, 1, 6) //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - Strong/Weak High/Low And Equilibrium } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} var phl = Zphl.new( na , na , label.new(na , na , color = invcol , textcolor = i_ms_dn_BOS , style = label.style_label_down , size = size.tiny , text = "") , label.new(na , na , color = invcol , textcolor = i_ms_up_BOS , style = label.style_label_up , size = size.tiny , text = "") , true , true , true , true , "" , "" , 0 , 0 , 0 , 0 , high , low , 0 , 0 , 0 , 0 , 0 , 0 , na , na ) zhl(len)=> upper = ta.highest(len) lower = ta.lowest(len) var float out = 0 out := b.h > upper ? 0 : b.l < lower ? 1 : out top = out == 0 and out != 0 ? b.h : 0 btm = out == 1 and out != 1 ? b.l : 0 = zhl(sLen) = zhl(iLen) upphl(trend) => var label lbl = label.new( na , na , color = invcol , textcolor = toplvl , style = label.style_label_down , size = size.small ) if top phl.stopcross := true phl.txtup := top > phl.topy ? "HH" : "HL" if show_lbl topl = label.new( b.n - swing_r_lookback , top , phl.txtup , color = invcol , textcolor = toplvl , style = label.style_label_down , size = size.small ) line.delete(phl.top ) phl.top := line.new( b.n - sLen , top , b.n , top , color = toplvl) phl.topy := top phl.topx := b.n - sLen phl.tup := top phl.tupx := b.n - sLen if itop phl.itopcross := true phl.itopy := itop phl.itopx := b.n - iLen phl.tup := math.max(high, phl.tup) phl.tupx := phl.tup == high ? b.n : phl.tupx phl.uV := phl.tup != phl.tup ? b.v : phl.uV if barstate.islast line.set_xy1( phl.top , phl.tupx , phl.tup ) line.set_xy2( phl.top , b.n + 50 , phl.tup ) label.set_x( lbl , b.n + 50 ) label.set_y( lbl , phl.tup ) dist = math.abs(phl.uV / (phl.uV + phl.dV)) * 100 label.set_text (lbl, trend < 0 ? "Strong High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)" : "Weak High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)") dnphl(trend) => var label lbl = label.new( na , na , color = invcol , textcolor = btmlvl , style = label.style_label_up , size = size.small ) if btm phl.sbottomcross := true phl.txtdn := btm > phl.bottomy ? "LH" : "LL" if show_lbl btml = label.new( b.n - swing_r_lookback , btm, phl.txtdn , color = invcol , textcolor = btmlvl , style = label.style_label_up , size = size.small ) line.delete(phl.bottom ) phl.bottom := line.new( b.n - sLen , btm , b.n , btm , color = btmlvl ) phl.bottomy := btm phl.bottomx := b.n - sLen phl.tdn := btm phl.tdnx := b.n - sLen if ibtm phl.ibottomcross := true phl.ibottomy := ibtm phl.ibottomx := b.n - iLen phl.tdn := math.min(low, phl.tdn) phl.tdnx := phl.tdn == low ? b.n : phl.tdnx phl.dV := phl.tdn != phl.tdn ? b.v : phl.dV if barstate.islast line.set_xy1( phl.bottom , phl.tdnx , phl.tdn ) line.set_xy2( phl.bottom , b.n + 50 , phl.tdn ) label.set_x( lbl , b.n + 50 ) label.set_y( lbl , phl.tdn ) dist = math.abs(phl.dV / (phl.uV + phl.dV)) * 100 label.set_text (lbl, trend > 0 ? "Strong Low | " + str.tostring(phl.dV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)" : "Weak Low | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)") midphl() => avg = math.avg(phl.bottom.get_y2(), phl.top.get_y2()) var line l = line.new( y1 = avg , y2 = avg , x1 = b.n - sLen , x2 = b.n + 50 , color = midlvl , style = line.style_solid ) var label lbl = label.new( x = b.n + 50 , y = avg , text = "Equilibrium" , style = label.style_label_left , color = invcol , textcolor = midlvl , size = size.small ) if barstate.islast more = (phl.bottom.get_x1() + phl.bottom.get_x2()) > (phl.top.get_x1() + phl.top.get_x2()) ? phl.top.get_x1() : phl.bottom.get_x1() line.set_xy1(l , more , avg) line.set_xy2(l , b.n + 50, avg) label.set_x (lbl , b.n + 50 ) label.set_y (lbl , avg ) dist = math.abs((l.get_y2() - close) / close) * 100 label.set_text (lbl, "Equilibrium (" + str.tostring(math.round(dist,0)) + "%)") hqlzone() => if barstate.islast var hqlzone dZone = hqlzone.new( box.new( na , na , na , na , bgcolor = color.new(toplvl, 70) , border_color = na ) , box.new( na , na , na , na , bgcolor = color.new(midlvl, 70) , border_color = na ) , box.new( na , na , na , na , bgcolor = color.new(btmlvl, 70) , border_color = na ) , label.new(na, na, text = "Premium" , color = invcol, textcolor = toplvl, style = label.style_label_down, size = size.small) , label.new(na, na, text = "Equilibrium", color = invcol, textcolor = midlvl, style = label.style_label_left, size = size.small) , label.new(na, na, text = "Discount" , color = invcol, textcolor = btmlvl, style = label.style_label_up , size = size.small) ) dZone.pbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)) , phl.tup) dZone.pbx.set_rightbottom(b.n + 50 , 0.95 * phl.tup + 0.05 * phl.tdn) dZone.ebx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.525 * phl.tup + 0.475 * phl.tdn) dZone.ebx.set_rightbottom(b.n + 50 , 0.525 * phl.tdn + 0.475 * phl.tup) dZone.lbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.95 * phl.tdn + 0.05 * phl.tup) dZone.lbx.set_rightbottom(b.n + 50 , phl.tdn) dZone.plb.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tup) dZone.elb.set_xy( int(b.n + 50) , math.avg(phl.tup, phl.tdn)) dZone.lbl.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tdn) if show_mtb upphl (trend) dnphl (trend) hqlzone() //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - Volumetric Order Block } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} method eB(box b, bool ext, color css, bool swing) => b.unshift( box.new( na , na , na , na , xloc = xloc.bar_time , text_font_family = font.family_monospace , extend = ext ? extend.right : extend.none , border_color = swing ? color.new(css, 0) : color.new(color.white,100) , bgcolor = css , border_width = 1 ) ) method eL(line l, bool ext, bool solid, color css) => l.unshift( line.new( na , na , na , na , width = 1 , color = css , xloc = xloc.bar_time , extend = ext ? extend.right : extend.none , style = solid ? line.style_solid : line.style_dashed ) ) method drawVOB(bool cdn, bool bull, color css, int loc, bool swing) => = request.security( syminfo.tickerid , "" , , lookahead = barmerge.lookahead_off ) var obC obj = obC.new( array.new() , array.new() , array.new< int >() , array.new() , array.new() , array.new() , array.new< int >() , array.new< int >() , array.new< int >() , array.new< int >() , array.new() , array.new() , array.new< int >() ) var obD draw = obD.new( array.new() , array.new() , array.new() , array.new() , array.new() ) if barstate.isfirst for i = 0 to ob_num - 1 draw.mL .eL(false, false, use_grayscale ? color.new(color.gray, 0) : color.new(css,0)) draw.ob .eB(false, use_grayscale ? color.new(color.gray, 90) : css, swing) draw.blB.eB(false, css_metric_up , swing) draw.brB.eB(false, css_metric_dn , swing) draw.eOB.eB(true , use_grayscale ? color.new(color.gray, 90) : css, swing) float pos = ob_pos == "Full" ? (bull ? high : low) : ob_pos == "Middle" ? ohlc4 : ob_pos == "Accurate" ? hl2 : hl2 if cdn obj.h.clear() obj.l.clear() obj.n.clear() for i = 0 to math.abs((loc - b.n)) - 1 obj.h.push(hH ) obj.l.push(lL ) obj.n.push(b.t ) // obj.h.reverse() // obj.l.reverse() int iU = obj.l.indexof(obj.l.min()) + 1 int iD = obj.h.indexof(obj.h.max()) + 1 obj.dir.unshift( bull ? (b.c > b.o ? 1 : -1) : (b.c > b.o ? 1 : -1) ) obj.top.unshift( bull ? pos : obj.h.max() ) obj.btm.unshift( bull ? obj.l.min() : pos ) obj.left.unshift( bull ? obj.n.get(obj.l.indexof(obj.l.min())) : obj.n.get(obj.h.indexof(obj.h.max())) ) obj.avg.unshift( math.avg(obj.top.first(), obj.btm.first()) ) obj.cV.unshift( bull ? b.v : b.v ) if ob_pos == "Precise" switch bull true => if obj.avg.get(0) < (b.c < b.o ? b.c : b.o ) and obj.top.get(0) > hlcc4 obj.top.set(0, obj.avg.get(0)) obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first())) false => if obj.avg.get(0) > (b.c < b.o ? b.o : b.c ) and obj.btm.get(0) < hlcc4 obj.btm.set(0, obj.avg.get(0)) obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first())) obj.blVP.unshift ( 0 ) obj.brVP.unshift ( 0 ) obj.wM .unshift ( 1 ) if use_overlap int rmP = use_overlap_method == "Recent" ? 1 : 0 if obj.avg.size() > 1 if bull ? obj.btm.first() < obj.top.get(1) : obj.top.first() > obj.btm.get(1) obj.wM .remove(rmP) obj.cV .remove(rmP) obj.dir .remove(rmP) obj.top .remove(rmP) obj.avg .remove(rmP) obj.btm .remove(rmP) obj.left .remove(rmP) obj.blVP .remove(rmP) obj.brVP .remove(rmP) if barstate.isconfirmed for x = 0 to ob_num - 1 tg = switch ob_mitigation "Middle" => obj.avg "Absolute" => bull ? obj.btm : obj.top for in tg if (bull ? cC < pt : cC > pt) obj.wM .remove(idx) obj.cV .remove(idx) obj.dir .remove(idx) obj.top .remove(idx) obj.avg .remove(idx) obj.btm .remove(idx) obj.left .remove(idx) obj.blVP .remove(idx) obj.brVP .remove(idx) if barstate.islast if obj.avg.size() > 0 // Alert if bull ? ta.crossunder(low , obj.top.get(0)) : ta.crossover (high, obj.btm.get(0)) switch bull true => blalert.obtouch := true false => bralert.obtouch := true float tV = 0 obj.dV.clear() seq = math.min(ob_num - 1, obj.avg.size() - 1) for j = 0 to seq tV += obj.cV.get(j) if j == seq for y = 0 to seq obj.dV.unshift( math.floor( (obj.cV.get(y) / tV) * 100) ) obj.dV.reverse() for i = 0 to math.min(ob_num - 1, obj.avg.size() - 1) dmL = draw.mL .get(i) dOB = draw.ob .get(i) dblB = draw.blB.get(i) dbrB = draw.brB.get(i) deOB = draw.eOB.get(i) dOB.set_lefttop (obj.left .get(i) , obj.top.get(i)) deOB.set_lefttop (b.t , obj.top.get(i)) dOB.set_rightbottom (b.t , obj.btm.get(i)) deOB.set_rightbottom(b.t + (b.t - b.t ) * 100 , obj.btm.get(i)) if use_middle_line dmL.set_xy1(obj.left.get(i), obj.avg.get(i)) dmL.set_xy2(b.t , obj.avg.get(i)) if ob_metrics_show dblB.set_lefttop (obj.left.get(i), obj.top.get(i)) dbrB.set_lefttop (obj.left.get(i), obj.avg.get(i)) dblB.set_rightbottom(obj.left.get(i), obj.avg.get(i)) dbrB.set_rightbottom(obj.left.get(i), obj.btm.get(i)) rpBL = dblB.get_right() rpBR = dbrB.get_right() dbrB.set_right(rpBR + (b.t - b.t ) * obj.brVP.get(i)) dblB.set_right(rpBL + (b.t - b.t ) * obj.blVP.get(i)) if use_show_metric txt = switch obj.cV.get(i) >= 1000000000 => str.tostring(math.round(obj.cV.get(i) / 1000000000,3)) + "B" obj.cV.get(i) >= 1000000 => str.tostring(math.round(obj.cV.get(i) / 1000000,3)) + "M" obj.cV.get(i) >= 1000 => str.tostring(math.round(obj.cV.get(i) / 1000,3)) + "K" obj.cV.get(i) < 1000 => str.tostring(math.round(obj.cV.get(i))) deOB.set_text( str.tostring( txt + " (" + str.tostring(obj.dV.get(i)) + "%)") ) deOB.set_text_size (size.auto) deOB.set_text_halign(text.align_left) deOB.set_text_color (use_grayscale ? color.silver : color.new(css, 0)) if ob_metrics_show and barstate.isconfirmed if obj.wM.size() > 0 for i = 0 to obj.avg.size() - 1 switch obj.dir.get(i) 1 => switch obj.wM.get(i) 1 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 2) 2 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 3) 3 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 1) -1 => switch obj.wM.get(i) 1 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 2) 2 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 3) 3 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 1) var hN = array.new(1, b.n) var lN = array.new(1, b.n) var hS = array.new(1, b.n) var lS = array.new(1, b.n) if iH hN.pop() hN.unshift(int(b.n )) if iL lN.pop() lN.unshift(int(b.n )) if sH hS.pop() hS.unshift(int(b.n )) if sL lS.pop() lS.unshift(int(b.n )) if ob_show bull_ob.drawVOB(true , ob_bull_css, hN.first(), false) bear_ob.drawVOB(false, ob_bear_css, lN.first(), false) if ob_swings s_bull_ob.drawVOB(true , css_swing_up, hS.first(), true) s_bear_ob.drawVOB(false, css_swing_dn, lS.first(), true) if bull_ob blalert.ob := true if bear_ob bralert.ob := true if s_bull_ob blalert.swingob := true if s_bear_ob blalert.swingob := true //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - End } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{ - FVG | VI | OG } //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} //{----------------------------------------------------------------------------------------------------------------------------------------------} ghl() => request.security(syminfo.tickerid, fvg_tf, [high , low , close , open ]) tfG() => request.security(syminfo.tickerid, fvg_tf, ) cG(bool bull) => = ghl() = tfG() var FVG draw = FVG.new( array.new() , array.new() ) var FVG cords = array.new() float pup = na float pdn = na bool cdn = na int pos = 2 cc = timeframe.change(fvg_tf) if barstate.isfirst for i = 0 to fvg_num - 1 draw.box.unshift(box.new (na, na, na, na, border_color = color.new(color.white, 100), xloc = xloc.bar_time)) draw.ln.unshift (line.new(na, na, na, na, xloc = xloc.bar_time, width = 1, style = line.style_solid)) switch what_fvg "FVG" => pup := bull ? gl : l pdn := bull ? h : gh cdn := bull ? gl > h and cc : gh < l and cc pos := 2 "VI" => pup := bull ? (gc > go ? go : gc) : (gc > go ? go : gc ) pdn := bull ? (gc > go ? gc : go ) : (gc > go ? gc : go) cdn := bull ? go > gc and gh > gl and gc > gc and go > go and gh < math.min(gc, go) and cc : go < gc and gl < gh and gc < gc and go < go and gl > math.max(gc, go) and cc pos := 1 "OG" => pup := bull ? b.l : gl p
Indicador Pine Script®
por tr1978tr
Simple Auto Swing Lines# Simple Auto Swing Lines ## What It Does This indicator automatically draws horizontal support and resistance lines based on swing highs and lows with line management and touch-based alerts. ## How It Works **Swing Detection:** - Uses pivot point analysis to identify significant highs and lows - Configurable pivot strength determines sensitivity (higher = more significant swings) - Draws horizontal lines from these swing points extending to current price **Line Management:** - Proximity Filter: Removes lines that are too close together to prevent clutter - Auto-Hide Feature: Lines disappear after price closes beyond them for a set number of candles - Permanent Clipping: Once a line is crossed for the threshold period, it stays hidden - Dynamic Updates: Only shows the most relevant recent swing levels **Touch-Based Alert System:** - "Swing High touched" - Alerts when price touches resistance lines from any direction - "Swing Low touched" - Alerts when price touches support lines from any direction - "Any Swing Level touched" - Combined alert for any swing line interaction ## Key Settings **Pivot Detection:** - Pivot Strength (50): Higher values = fewer, more significant swing lines - Max Lookback Bars (1000): How far back to look for swing points **Line Appearance:** - Max Lines (5): Maximum number of swing lines per side (total lines = 2x this number) - Line Thickness (1-5): Customize line width - Resistance/Support Colors: Red for highs, green for lows - Show Labels: Optional swing high/low labels (default: off) **Display Controls:** - Proximity Filter (2000 ticks): Minimum distance between lines to prevent clutter - Candles Before Hide (7): How many consecutive closes beyond a line before permanent removal
Indicador Pine Script®
por ire0n
EMA-RSI-ADX Trend Bands 📌 EMA-RSI-ADX Trend Bands (ERA Trend Bands) 🔥 Overview The ERA Trend Bands indicator combines Exponential Moving Average (EMA), Relative Strength Index (RSI), and Average Directional Index (ADX) into a powerful multi-factor trend system. It helps traders: Identify trend direction (Bullish / Bearish) Measure trend strength using EMA deviation bands Confirm momentum with RSI & ADX filters Visualize conditions with dynamic colors, labels, tables, and signals ⚡ Key Features 📍 EMA Trend Bands EMA100 with gradient glow effect showing trend bias Strength bands around EMA (Very Weak → Hyper levels) Bands color-coded for bullish/bearish extremes 📊 RSI + ADX Confluence Bullish Signal: RSI ≥ threshold & ADX ≥ threshold → 🟢 Bearish Signal: RSI ≤ threshold & ADX ≤ threshold → 🔴 Candles recolored when conditions are met Auto-generated labels show live RSI/ADX values 🧩 Strength Levels Classifies deviation from EMA into 8 levels: Neutral → Very Weak → Weak → Moderate → Strong → Very Strong → Extreme → Hyper Dashboard table shows deviation % ranges & strength colors Dynamic labels display Trend, Strength, Deviation %, RSI & ADX 🎨 Visual Enhancements Gradient EMA line with glow effect Bullish (greens) & bearish (reds) vibrant palettes Background coloring (optional) based on strength Symbols & labels for entry confirmation 🎯 How to Use Trend Direction – EMA color + deviation bands show whether market is bullish or bearish. Strength Confirmation – Use strength labels & dashboard table to gauge overextension. Entry Signals – Watch for RSI/ADX confluence (green/red labels on chart). Exits – Monitor when strength fades back toward Neutral/Weak levels. ⚙️ Settings & Inputs EMA Settings → Length, Line Width, Gradient Intensity RSI Settings → Length & Thresholds (Bullish / Bearish) ADX Settings → Length & Thresholds (Bullish / Bearish) Bands → Enable/disable EMA deviation bands Labels/Table → Toggle strength info display Colors → Fully customizable vibrant palettes 🚨 Alerts & Signals Bullish Condition → RSI & ADX above thresholds Bearish Condition → RSI & ADX below thresholds Visual confirmation with labels, candles, and background ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always backtest and use proper risk management before trading live. ✨ Add EMA-RSI-ADX Trend Bands (ERA Trend Bands) to your chart to trade with clarity, strength, and precision.
Indicador Pine Script®
por ask2maniish
Ultimate📖 Indicator Description – Ultimate The Ultimate Indicator is a complete charting framework that combines linear regression channels, dynamic deviation bands, EMA ribbons, volatility spreads, and entry/exit markers. It is designed to help traders visualize trend direction, potential reversals, and trade setups with precision. 🔹 What You See on the Chart Channel Lines (Linear Regression Bands) Green dotted line (median): Fair value trendline based on regression. Red dashed line (upper band): Dynamic resistance zone. Blue dashed line (lower band): Dynamic support zone. Mid-bands (thin dotted red/blue): Halfway between median and outer bands, useful for scaling entries or partial exits. 🔹 EMA Ribbon (Light Green Shades) Multiple EMAs (5, 8, 13, 21, 34) plotted in progressively lighter green. Helps visualize momentum shifts and trend strength. Ribbon turns more aqua/green when short-term EMAs align bullishly. 🙌Markers on Price 🔴 Red Circle (Dot): Short entry signal (price rejecting upper deviation band). 🔵 Blue Circle (Dot): Long entry signal (price bouncing off lower deviation band). ❌ Red X: Peak formation detected, potential short setup (not always valid). 🔷 Blue Diamond: Trough formation detected, potential long setup (not always valid). Numbers Above/Below Candles 🔴Red numbers (above peaks): % spread from the bottom to the peak, showing upward volatility. 🔵 Blue numbers (below troughs): % spread from the top to the trough, showing downward volatility. These values help traders gauge the strength of recent swings and compare volatility expansions. 🔹 Signal Logic🔹 🔵Long Signal (Blue Circle): Forms when price makes a trough and crosses back above the lower regression band. Confirms potential upside reversal with stop-loss guided by ATR or swing low. 🔴Short Signal (Red Circle): Forms when price makes a peak and crosses below the upper regression band. Confirms potential downside reversal with stop-loss guided by ATR or swing high. ❌ Peaks (Red X): Indicate local tops. Not all peaks convert into shorts, but they warn of resistance zones. 🔹Troughs (Blue Diamonds): Indicate local bottoms. Not all troughs convert into longs, but they warn of support zones. 🔹 Alerts When a valid long or short setup is confirmed, an alert fires with: Ticker name Entry price Suggested position size (Quantity) Stop loss level (ATR-based or HL-based) Take profit level (calculated by reward multiple) 🔹 Inputs & Customization Quantity: Lot size suggestion. Deviation: Multiplier for regression channel width. Take Profit: Risk-to-reward multiplier. Stop Loss: ATR or High/Low based. Trend Lines: Choose between extended or fixed channels. Period: Lookback window for regression. Spread Percentages: Toggle volatility labels on/off. 🔹 How to Use Trend Following: Ride price inside the channel using EMA ribbon alignment. Reversal Trading: Enter at deviation extremes with confirmation signals. Volatility Mapping: Use spread % labels to measure the strength of market swings. Risk Management: ATR-based stops adapt to volatility, while HL stops give structural support/resistance. ✅ In summary: The Ultimate Indicator is not just a regression channel—it’s a multi-layered system that highlights trend bias, entry/exit signals, volatility spreads, and adaptive risk levels. It allows traders to see at a glance whether the market is trending, ranging, or preparing for a reversal.
Indicador Pine Script®
por sunya
Volume Delta Oscillator with Divergence█ OVERVIEW The Volume Delta Oscillator with Divergence is a technical indicator designed for the TradingView platform, helping traders identify potential trend reversal points and market momentum shifts through volume delta analysis and divergence detection. The indicator combines a smoothed volume delta oscillator with moving average-based signals, overbought/oversold levels, and divergence visualization, enhanced by configurable gradients and alerts for quick decision-making. █ CONCEPT The core idea of the indicator is to measure net buying or selling pressure through volume delta, smooth it for greater clarity, and detect divergences between price action and the oscillator. The indicator does not use external data, making it a compromise but practical tool for analyzing market dynamics based on available price and volume data. It provides insights into market dynamics, overbought/oversold conditions, and potential reversal points, with an attractive visual presentation. █ WHY USE IT? - Divergence detection: Identifies bullish and bearish divergences between price and the oscillator, signaling potential reversals. - Volume delta analysis: Measures cumulative volume delta to assess buying/selling pressure, expressed as a percentage for cross-market comparability. - Signal generation: Creates buy/sell signals based on overbought/oversold level crossovers, zero line crossovers, and moving average zero line crossovers. - Visual clarity: Uses gradients, fills, and dynamic colors for intuitive chart analysis. - Flexibility: Numerous settings allow adaptation to various markets (e.g., forex, crypto, stocks) and trading strategies. █ HOW IT WORKS? - Volume delta calculation: Computes net buying/selling pressure per candle as volume * (close - open) / (high - low), aggregated over a specified period (Cumulative Delta Length). - Smoothing: Applies an EMA (Smoothing Length) to the cumulative delta percentage, creating a smoother oscillator (Delta Oscillator). - Moving Average: Calculates an SMA (Moving Average Length) of the smoothed delta for trend confirmation (Moving Average (SMA)). - Divergence detection: Identifies bullish and bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). - Normalization: Delta is expressed as a percentage of total volume, ensuring consistency across instruments and timeframes. - Signals: Generates signals for: Crossing the oversold level upward (buy) or overbought level downward (sell). Crossing the zero line by the oscillator or moving average (buy/sell). Bullish/bearish divergences, marked with labels. - Visualization: Draws the oscillator and moving average with dynamic colors, gradient fills, and transparent bands and labels, with configurable overbought/oversold levels. - Alerts: Built-in alerts for divergence detection, overbought/oversold crossovers, and zero line crossovers (both oscillator and moving average). █ SETTINGS AND CUSTOMIZATION - Cumulative Delta Length: Period for aggregating volume delta (default: 14). - Smoothing Length (EMA): EMA length for smoothing the delta oscillator (default: 2). Higher values smooth the signal but reduce the number of generated signals. - Moving Average Length (SMA): SMA length for the moving average line (default: 40). Higher values allow SMA to be analyzed as a trend indicator, but require adjusting overbought/oversold levels for MA, as longer MA oscillates less. - Pivot Length (Left/Right): Number of candles for detecting pivot highs/lows in divergence calculations (default: 2). Higher values can reduce noise but introduce a delay equal to the set value. - Overbought/Oversold Levels: Thresholds for the oscillator (default: 18/-18) and for the moving average (default: 10/-10). For the moving average, no arrows appear; instead, the band changes color from gray to green (oversold) or red (overbought), which can strengthen entry signals for delta. - Signal Type: Select signals to display: "Overbought/Oversold", "Zero Line", "MA Zero Line", "All", or "None" (default: Overbought/Oversold). - Colors and gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels. - Transparency: Adjust gradient fill transparency (default: 70) and band/label transparency (default: 40) for consistent appearance. - Visualizations: Enable/disable the moving average, gradients for zero/overbought/oversold levels, and gradient fills. █ USAGE EXAMPLES - Momentum analysis: Observe the delta oscillator above 0 for bullish momentum or below 0 for bearish momentum. The moving average (SMA), being smoothed, reacts more slowly and can confirm trend direction as a noise filter. - Reversal signals: Look for buy triangles when the oscillator crosses the oversold level upward, especially when the moving average is below the MA oversold threshold. Similarly, look for sell triangles when crossing the overbought level downward, with the moving average above the MA overbought threshold. Divergence labels (bullish/bearish) indicate potential reversals. - Divergence trading: Use bullish divergence labels (green) for potential buy opportunities and bearish labels (red) for sell opportunities, especially when confirmed by price action or other indicators. - Customization: Adjust the cumulative delta length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals. █ NOTES FOR USERS - Combine the indicator with other tools, such as Fibonacci levels, RSI, or pivot points, to increase accuracy. - Test different settings for cumulative delta length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
Indicador Pine Script®
por Uncle_the_shooter
3
TJR Session High/LowsThis indicator plots the session Highs and Lows for Tokyo (20:00–03:00), London (03:00–08:00), and New York (08:00–17:00). Each session can be toggled on or off, and you can choose whether to display only the High, only the Low, or both. Customization options include: Colors and line styles (Solid, Dashed, Dotted) for each session Line width Optional vertical markers at the session boundaries (20:00, 03:00, 08:00, 17:00) – dashed blue lines by default The indicator updates dynamically: session High/Low levels are recalculated in real time as new bars come in, and only the most recent session lines are shown (no clutter from past sessions). Default session times are set for Tokyo, London, and New York, but you can adjust them if needed.
Indicador Pine Script®
por kondrix15
Anil's Momentum Scanner with Buy/Sell ArrowsThis script will: Plot green arrows when bullish momentum is strong. Plot red arrows when bearish momentum is strong. Use VWAP, RSI, Volume, and EMA crossovers to confirm momentum. Works ONLY with 2h timeframe. ✅ BUY (Green Arrow) appears when: Price is above VWAP Fast EMA > Slow EMA (trend up) RSI > 70 (momentum positive) Volume > 1.1x average ✅ SELL (Red Arrow) appears when: Price is below VWAP Fast EMA < Slow EMA (trend down) RSI < 50 (momentum weak) Volume > 1.1x average
Indicador Pine Script®
por AlexTeddy7
The Maker StrategyDESCRIPTION The Maker Strategy is a trend-following system built around exponential moving averages (EMAs). By analyzing the alignment of multiple EMAs, the strategy identifies strong bullish or bearish momentum and generates precise entry signals. This method is designed to capture sustained trends while filtering out sideways or noisy market conditions. USER INPUTS : • EMA 1 Length (Default: 30) • EMA 2 Length (Default: 35) • EMA 3 Length (Default: 40) • EMA 4 Length (Default: 45) • EMA 5 Length (Default: 50) • EMA 6 Length (Default: 60) LONG CONDITION : A long signal is triggered when all EMAs are perfectly aligned in ascending order: EMA1 > EMA2 > EMA3 > EMA4 > EMA5 > EMA6 SHORT CONDITION : A short signal is triggered when all EMAs are perfectly aligned in descending order: EMA1 < EMA2 < EMA3 < EMA4 < EMA5 < EMA6 WHY IT IS UNIQUE: Unlike traditional EMA crossover systems that rely on just 2 or 3 moving averages, The Maker Strategy uses 6 EMAs in sequence. This ensures that trades are only taken when there is clear and strong market momentum. The approach minimizes false signals in ranging markets and focuses on capturing trends with higher probability setups. HOW USER CAN BENEFIT FROM IT : • Clear entry alerts for both long and short positions. • Visual confirmation through candle coloring and EMA band fills. • Works on multiple timeframes and instruments (stocks, forex, crypto, indices). • Helps traders stay on the right side of the trend while avoiding whipsaws. • A simple yet effective tool for those who want a disciplined, rules-based strategy.
Indicador Pine Script®
por Shivam_Mandrai
1
Omega ATR Indicator📖 Introduction The Ω ATR Indicator was created to provide a more complete and professional framework for volatility analysis than the classic Average True Range (ATR). While the traditional ATR is a useful tool, it has limitations: it delivers a simple rolling average of volatility, but it does not adapt to market regimes, it does not highlight extreme events, and it often leaves the trader with incomplete information about risk. The Ω ATR takes the same foundation and elevates it into a multi-dimensional volatility dashboard, adding statistical layers, adaptive calculations, and clear visual references that allow traders to interpret volatility in a way that is immediately actionable. 🔎 What makes it different from a standard ATR? This indicator introduces several features beyond the classic formula: True Range Core – plots the raw True Range (TR) for each bar, providing a direct, bar-by-bar view of volatility impulses. Standard & Adjusted ATR – includes both the conventional ATR (smoothed average) and an Adjusted ATR that automatically corrects for extreme conditions by incorporating percentile rescaling. Percentile Volatility Levels – dynamically calculated extreme thresholds (99.8%, 75%, 50%, 25%), plotted as dotted levels across the chart. These act as reference lines for “normal” vs. “abnormal” volatility, useful for spotting unusual price expansions or contractions. Linear Regression Volatility Trend – overlays a regression line of volatility, showing whether the market is moving toward expansion (rising vol), contraction (falling vol), or stability. Monetary Value Translation – the indicator converts volatility into points, ticks, and dollar values (based on the instrument’s point value). This allows futures traders and high-value instruments users to immediately see how much volatility is “worth” in cash terms. Interactive Table Display – a real-time statistics table is displayed directly on the chart, showing: SMA of ATR in $ and points Percentile-based volatility range (VAR) in $ and points Tick equivalences, for quick position sizing ⚡ How traders can use it The Ω ATR Indicator is designed to be versatile, fitting both discretionary traders and systematic strategy developers. Risk Management: ATR-based stop losses and position sizing are significantly improved by using the adjusted ATR and percentile thresholds. Traders can size their positions according to volatility regimes, not just raw averages. Breakout & Exhaustion Detection: When TR or ATR values spike above the 99.8% or 95% percentile levels, this often corresponds to breakout conditions or volatility exhaustion — useful for breakout strategies, mean-reversion setups, and volatility fades. Market Regime Identification: The regression line helps distinguish if volatility is rising (trending environment, larger swings expected) or compressing (range-bound environment, lower risk opportunities). Multi-Asset Flexibility: Works equally well on equities, futures, crypto, and FX. Its point/tick/dollar conversion makes it especially powerful for futures traders who need to quantify risk precisely. Scalping to Swing Trading: On lower timeframes, it acts as a micro-volatility detector; on higher timeframes, it functions as a strategic risk gauge for position management. ⚙️ Settings and Customization Length: The ATR lookback period (default = 34). Shorter lengths (14–21) for intraday traders who want fast response. Longer lengths (34–55) for swing/position traders who want smoother readings. AVG / ADJ AVG: Toggle to display the standard ATR or the adjusted ATR. Volatility Levels: Enable/disable up to 4 percentile-based levels (1st = 25%, 2nd = 50%, 3rd = 75%, 4th = 99.8%). Recommended: keep 3 levels active for clarity. Color Controls: All plots and levels are fully customizable to match your chart style. Table Display: Positioned on the chart (default: middle-right) with key values updated in real time. 🧭 Best Practices for Use Combine with Trend Tools: Volatility readings are most powerful when combined with trend filters or volume analysis. For example, a breakout with both high volatility and trend confirmation is stronger than either alone. ATR Stops: Use the Adjusted ATR rather than the standard one when trailing stops in highly volatile instruments like crypto or Nasdaq futures, as it adapts to outlier spikes. Dollar Risk Translation: Use the dollar-value outputs to predefine maximum acceptable risk per trade (e.g., “I only risk $250 per position”). This bridges volatility to portfolio risk management. Event Monitoring: Around economic events or earnings, expect volatility spikes above higher percentile levels. The indicator makes these moves instantly visible. 📌 Summary The Ω ATR Indicator is not just “another ATR.” It is a comprehensive volatility framework that transforms volatility from a simple statistic into an actionable trading signal. By combining: the classic ATR, an adjusted ATR, percentile extremes, regression-based volatility trends, and real-time dollar conversions, …this tool allows traders to precisely understand, visualize, and act on volatility in ways that a standard ATR simply cannot provide. Whether you are scalping intraday moves, swing trading equities, or managing futures positions, the Ω ATR equips you with a professional-grade volatility dashboard that clarifies risk, highlights opportunity, and adapts across all markets and timeframes. 👉 Designed and developed by OmegaTools for traders who demand precision, clarity, and adaptability in their volatility analysis.
Indicador Pine Script®
por OmegaTools
EMA/SMA Stack Analysis Table (Lite – Current Only)📘 EMA/SMA Stack Analysis Table (Lite – Current Only) This script is a simplified learning tool designed for novice traders who want to understand how moving averages (MAs) stack up in different market conditions. The table displays: Current MA stack (e.g., 9 > 20 > 50 > 100 > 200) Interpretation (Perfect Bullish, Perfect Bearish, Mixed, etc.) Risk label (Low, Medium, High) A novice-friendly “Allowed?” guide with score ✅ YES (Buy on dips / Starter) ⏳ WAIT (no clear edge) ❌ NO (Avoid longs) Why this matters A Perfect Bullish stack (9 > 20 > 50 > 100 > 200) suggests a strong uptrend. A Perfect Bearish stack (200 > 100 > 50 > 20 > 9) indicates a strong downtrend. Mixed stacks can reflect transitions, pauses, or pullbacks. The score helps summarize multiple factors into one line for beginners. The full script is too long to publish. ⚠️ Important Warnings Moving averages lag price. By themselves, they can be misleading and should never be the sole basis for trading. Always use confirmatory indicators (RSI, volume, price action, support/resistance, etc.) before making decisions. This script is intended as a learning aid for novices — not a standalone trading system. I built this primarily to help myself (a beginner) learn how to read trend structure. Disclaimer This script is provided as is, for educational purposes only. It is not financial advice. Please test thoroughly and use at your own risk.
Indicador Pine Script®
por randy1as
VIM (Volume in Money)Volume in Money + MA (Short Numbers & Coloring) This indicator visualizes the monetary volume traded in each candle, calculated as: Money Volume = Volume × Close Price Money Volume=Volume×Close Price 🔹 Features: Plots bars representing the money volume (total traded value). Coloring options: • Prev Close → Green if the current close is higher than the previous close, Red if lower. • Candle Direction → Green if the candle is bullish (close > open), Red if bearish (close < open). Moving Average (default length: 14) applied on the money volume for trend analysis. Axis values and labels displayed in a shortened format (K, M, B, T) for readability. 📊 This helps traders quickly identify whether large amounts of money flowed into or out of the asset, making it easier to detect unusual activity compared to regular volume indicators.
Indicador Pine Script®
por tbtb1111
1
Candle Sweep Alert - MoonThis Pine Script is designed to detect Bearish Sweep and Bullish Sweep patterns on a TradingView chart and trigger alerts and notifications. Bearish Sweep occurs when the current candle’s high is higher than the previous high, the close is lower than the open (bearish), and the current low is either lower or higher than the previous low. Bullish Sweep occurs when the current candle’s low is lower than the previous low, the close is higher than the open (bullish), and the current high is either lower or higher than the previous high. Alerts and notifications will be triggered when these conditions are met, helping traders monitor market movements automatically.
Indicador Pine Script®
por groupyphantom
Low Float Discord Levels (Custom Colors)This script allows you to instantly paste levels from Discord (or any text source) directly into your chart. Each level is plotted with a customizable color, so you can separate daily, cautionary, and key levels without clutter. Designed for low float traders who want quick, clean reference points right on their charts. How to Use Add the Script to Your Chart Open your indicator list in TradingView and load Low Float Levels with Custom Colors. Paste Your Levels Copy your levels from Discord (or another source). Open the script settings. Paste your levels into the input box at the top. Customize Colors Scroll to the color section at the bottom of settings. Assign unique colors for each group of levels (daily, cautionary, custom, etc.). Labels and arrows will automatically match your chosen colors. View on Your Chart Levels will plot instantly across your chart. Clean, organized, and easy to track while trading low float stocks. ⚡ Tip: Keep separate color themes for different types of levels so you can quickly spot which lines matter most in real time.
Indicador Pine Script®
por tdizzle1408
DMI Histogram IndicatorThe Directional Movement Index (DMI) was originally developed by J. Welles Wilder Jr. in 1978. Wilder introduced the DMI along with the Average Directional Index (ADX) in his book, “New Concepts in Technical Trading Systems,” which became a foundational reference for technical analysis. The indicator can be a bit intimidating for people to interpret if they aren't familiar with it. So this DMI Histogram uses the underlying DMI data to present a different way to visualize the price movement and trend. The goal is to help provide insight into the rising or falling momentum behind the price, at times when the chart itself may not be as obvious. This could potentially help spot a momentum divergence before it plays out on the chart. The user has the option of displaying ADX reversals as red and green arrows. The ADX is the trend indicator portion of the DMI. When it changes direction, that sometimes leads to shift in who is exerting the most influence on the price, buyers or sellers. The user also has the option of coloring the candlesticks to match the histogram. This indicator is meant to be combined with other indicators and other chart analysis tools.
Indicador Pine Script®
por Chart0bserver
macd + stochastic cryptosmart## macd + stochastic cryptosmart This indicator is a technical analysis tool designed to find high-probability trading signals by merging two of the most powerful oscillators: the MACD and the Stochastic. The core strategy is not just to use each indicator separately, but to identify moments of confluence, where both send the same message. When a momentum signal from the MACD occurs while the Stochastic is in an extreme zone, the probability of a strong, sustained move increases significantly. ## The Confluence Logic: The Core Strategy ✨ The power of this indicator lies in the confirmation of signals. Instead of acting on a single clue, you wait for two experts to give you the same recommendation. 📈 High-Probability Buy Signal (Bullish Confluence) A buy signal is considered especially strong when the following two conditions occur at nearly the same time: Stochastic at an Extreme: The Stochastic oscillator is in the oversold zone (typically below 20), indicating that selling pressure may be exhausted and the price is "cheap." MACD Crossover: The MACD line crosses above its signal line (a bullish crossover). This confirms that the market's momentum is beginning to shift in favor of the buyers. The logic is: The Stochastic tells you when the market is ready for a potential bounce, and the MACD crossover gives you the confirmation that the bounce is starting with force. 📉 High-Probability Sell Signal (Bearish Confluence) A high-quality sell signal occurs when: Stochastic at an Extreme: The Stochastic is in the overbought zone (above 80), suggesting the asset may be overvalued and ready for a correction. MACD Crossover: The MACD line crosses below its signal line (a bearish crossover). This confirms that momentum is turning negative. The logic is: The Stochastic alerts you to a potential price "bubble," and the MACD crossover confirms that the bubble is beginning to deflate. ## Key Features MACD Normalization: To make comparison easier, the indicator can normalize the MACD to the same 0-100 scale as the Stochastic. This allows you to view both oscillators in a similar context. Smart Visualization: The indicator's background changes color depending on whether the Stochastic is in an overbought, oversold, or neutral zone. The "shadow" between the MACD lines is colored green or red to show you at a glance whether momentum is bullish or bearish. In summary, this indicator doesn't reinvent the MACD or the Stochastic but integrates them in a smart, visual way so you can apply a confluence strategy more effectively, filtering out weak signals and focusing on those with the highest probability of success.
Indicador Pine Script®
por edwardflores194
VSA Volume MonitorDescription This script provides a clear and adaptable visual representation of volume activity, helping traders understand how current participation compares to recent norms. It calculates a moving average of volume over a user-defined smoothing window and uses that baseline to classify each bar’s volume into several intensity levels. Bars are color-coded to reflect these levels: • Blue for below-average activity • Green for moderate activity • Yellow for above-average surges • Red for exceptionally high or climactic volume In addition to color-coded bars, the script plots two reference bands that represent the typical (baseline) and elevated (climactic) volume zones. These bands form a shaded cloud that helps visually separate normal market participation from periods of unusual crowd activity or volatility. The purpose of this indicator is purely visual and informational — it does not generate buy or sell signals, and it does not predict future price movement. Instead, it gives traders an at-a-glance view of how market interest is shifting, so they can combine that context with their own analysis or strategy. This tool is lightweight, easy to read, and designed for use alongside other forms of technical analysis, making it suitable for traders who want to build their own framework for understanding volume behavior.
Indicador Pine Script®
por deep_in_the_tape_1
oscillator fast cryptosmartThe oscillator fast cryptosmart is a high-sensitivity momentum indicator designed to generate signals more rapidly than many traditional oscillators, such as the MACD. It is engineered to detect potential price breakouts by analyzing short-term market cycles. At its core, the indicator uses a Detrended Price Oscillator (DPO) to remove the longer-term trend from price action, allowing it to focus purely on the underlying momentum cycles. It then calculates dynamic volatility bands around this oscillator line. Signals are generated when momentum breaks out from a normal range, providing traders with an early warning of a potential acceleration in price. How to Interpret the Signals: Buy Signal (Green Vertical Line): A buy signal is generated when the oscillator's main line (yellow) crosses above its upper statistical band. This indicates a sharp surge in positive momentum, suggesting a potential upward move is beginning. Sell Signal (Red Vertical Line): A sell signal is generated when the oscillator's main line crosses below its lower statistical band. This indicates a significant increase in negative momentum, suggesting a potential downward move is starting. By focusing on momentum breakouts rather than lagging moving average crossovers, the oscillator fast cryptosmart aims to provide an edge in identifying opportunities in fast-moving markets.
Indicador Pine Script®
por edwardflores194