Tradingview

PHP Code:

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // //@version=6 indicator('Trend System', shorttitle = '.', overlay = true) /////// // Input fastlen1 = input(2, title = 'Fast Moving Average') slowlen1 = input(3, title = 'Slow Moving Average') signallen1 = input(3, title = 'Signal Line') switch21 = input(true, title = 'Enable Moving Averages?') // Calculation fast1 = ta.ema(close, fastlen1) slow1 = ta.ema(close, slowlen1) MACD1= fast1 - slow1 signal1 = ta.ema(MACD1, signallen1) histogr1 = MACD1 - signal1 // MACD, MA colors MACDcolor1 = fast1 > slow1 ? color.lime : color.red fastcolor1 = ta.change(fast1) > 0 ? color.lime : color.red slowcolor1 = ta.change(slow1) > 0 ? color.lime: color.red MACDupdowncolor1 = ta.change(MACD1) > 0 ? color.lime : color.red // MACD histogram colors histogrMACDcolor1 = MACD1 > histogr1 ? color.lime : color.red histogrzerocolor1 = histogr1 > 0 ? color.lime : color.red histogrupdowncolor1 = ta.change(histogr1) > 0 ? color.lime : color.red // MACD signal line colors signalMACDcolor1 = MACD1 > signal1 ? color.lime : color.red signalzerocolor1 = signal1 > 0 ? color.lime : color.red signalupdowncolor1 = ta.change(signal1) > 0 ? color.lime : color.red S1 = plot(switch21 ? slow1 : na, color = MACDcolor1, linewidth = 1,title="MACD-Trend") /////////////////////// /////////////////// // @variable Length for LOWESS calculation int length = input.int(1, minval = 1, title = 'Length', group = 'LOWESS (Locally Weighted Scatterplot Smoothing)') // @variable Number of bars to the left for pivot calculation int leftBars = input.int(5, 'Length', group = 'Pivots') // @variable Number of bars to the right for pivot calculation int rightBars = leftBars - 4 // @variable Line object for high pivot var line line_h = na // @variable Line object for low pivot var line line_l = na // @variable Color for upward movements color col_up = color.yellow // @variable Color for downward movements color col_dn = color.red // Calculate pivot high and low ph = ta.pivothigh(leftBars, rightBars) pl = ta.pivotlow(leftBars, rightBars) //@function Calculates LOWESS (Locally Weighted Scatterplot Smoothing) //@param src (float) Source series //@param length (int) Lookback period //@returns (float) LOWESS value lowess(src, length) => sum_w = 0.0 sum_wx = 0.0 sum_wy = 0.0 for i = 0 to length - 1 by 1 w = math.pow(1 - math.pow(i / length, 3), 3) sum_w := sum_w + w sum_wx := sum_wx + w * i sum_wy := sum_wy + w * src[i] sum_wy a = sum_wy / sum_w b = sum_wx / sum_w a + b / (length - 1) / 2000 //@function Calculates Modified Adaptive Gaussian Moving Average //@param src (float) Source series //@param length (int) Lookback period //@returns [float, float] Gaussian MA and smoothed Gaussian MA GaussianMA(src, length) => h_l = array.new<float>(length) float gma = 0.0 float sumOfWeights = 0.0 float sigma = (ta.atr(length) + ta.stdev(close, length)) / 2 // Volatility adaption float highest = 0.0 float lowest = 0.0 float smoothed = 0.0 for i = 0 to length - 1 by 1 h_l.push(close[i]) highest := h_l.max() lowest := h_l.min() weight = math.exp(-math.pow((i - (length - 1)) / (2 * sigma), 2) / 2) value = math.max(highest[i], highest) + math.min(lowest[i], lowest) gma := gma + value * weight sumOfWeights := sumOfWeights + weight sumOfWeights gma := gma / sumOfWeights / 2 smoothed := lowess(gma, 10) [gma, smoothed] [gma, smoothed] = GaussianMA(close, length) smoothedColor = smoothed > smoothed[2] ? col_up : smoothed <= smoothed[2] ? col_dn : na plot(smoothed, 'Pivot trend', smoothedColor) /////////////////////////////

PHP Code:

//@version=6 indicator('LOWESS (Locally Weighted Scatterplot Smoothing) [ChartPrime]', '.', overlay = true, max_lines_count = 500, max_labels_count = 500) //@version=6 //// ///// /////////////// //@version=6 // Inputs a = input.int(1, title='Key Value. \"This changes the sensitivity\"') c = input.int(1, title='ATR Period') h = input.bool(true, title='Signals from Heikin Ashi Candles') xATR = ta.atr(c) nLoss = a * xATR src = h ? request.security(syminfo.tickerid, timeframe.period, close, lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_off) : close xATRTrailingStop = 0.0 iff_1 = src > nz(xATRTrailingStop[1], 0) ? src - nLoss : src + nLoss iff_2 = src < nz(xATRTrailingStop[1], 0) and src[1] < nz(xATRTrailingStop[1], 0) ? math.min(nz(xATRTrailingStop[1]), src + nLoss) : iff_1 xATRTrailingStop := src > nz(xATRTrailingStop[1], 0) and src[1] > nz(xATRTrailingStop[1], 0) ? math.max(nz(xATRTrailingStop[1]), src - nLoss) : iff_2 pos = 0 iff_3 = src[1] > nz(xATRTrailingStop[1], 0) and src < nz(xATRTrailingStop[1], 0) ? -1 : nz(pos[1], 0) pos := src[1] < nz(xATRTrailingStop[1], 0) and src > nz(xATRTrailingStop[1], 0) ? 1 : iff_3 xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue ema = ta.ema(src, 5) above = ta.crossover(ema, xATRTrailingStop) below = ta.crossover(xATRTrailingStop, ema) barbuy = src > xATRTrailingStop barsell = src < xATRTrailingStop barcolor(barbuy ? color.green : na) barcolor(barsell ? color.red : na) ////////////// ////////////////// /////////////////// ///////////////////// //@version=6 start1 = input(0.1) increment1 = input(0.1) maximum1 = input(0.1) xo = input(0.01) xpr = input(0.01) psar = 0.0 // PSAR af = 0.0 // Acceleration Factor trend_dir = 0 // Current direction of PSAR ep = 0.0 // Extreme point sar_long_to_short = trend_dir[1] == 1 and close <= psar[1] * (1 - xo) // PSAR switches from long to short and exceeds xo filter sar_short_to_long = trend_dir[1] == -1 and close >= psar[1] * (1 + xo) // PSAR switches from short to long and exceeds xo filter trend_change = barstate.isfirst[1] or sar_long_to_short or sar_short_to_long // Calculate trend direction trend_dir := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short ? -1 : sar_short_to_long ? 1 : nz(trend_dir[1]) // Calculate Acceleration Factor af := trend_change ? start1 : trend_dir == 1 and high > ep[1] or trend_dir == -1 and low < ep[1] ? math.min(maximum1, af[1] + increment1) : af[1] // Calculate extreme point ep := trend_change and trend_dir == 1 ? high : trend_change and trend_dir == -1 ? low : trend_dir == 1 ? math.max(ep[1], high * (1 + xpr)) : math.min(ep[1], low * (1 - xpr)) // Calculate PSAR psar := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change ? ep[1] : trend_dir == 1 ? psar[1] + af * (ep - psar[1]) : psar[1] - af * (psar[1] - ep) plot(psar, style = plot.style_stepline, color = trend_dir == 1 ? color.yellow : color.blue,title = "Range",linewidth = 1) //////////////////// start12 = input(0.2) increment12 = input(0.2) maximum12 = input(0.2) xo12 = input(0.01) xpr12 = input(0.01) psar12 = 0.0 // PSAR af12 = 0.0 // Acceleration Factor trend_dir12 = 0 // Current direction of PSAR ep12 = 0.0 // Extreme point sar_long_to_short12 = trend_dir12[1] == 1 and close <= psar12[1] * (1 - xo12) // PSAR switches from long to short and exceeds xo filter sar_short_to_long12 = trend_dir12[1] == -1 and close >= psar12[1] * (1 + xo12) // PSAR switches from short to long and exceeds xo filter trend_change12 = barstate.isfirst[1] or sar_long_to_short12 or sar_short_to_long12 // Calculate trend direction trend_dir12 := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short12 ? -1 : sar_short_to_long12 ? 1 : nz(trend_dir12[1]) // Calculate Acceleration Factor af12 := trend_change12 ? start12 : trend_dir12 == 1 and high > ep12[1] or trend_dir12 == -1 and low < ep12[1] ? math.min(maximum12, af12[1] + increment12) : af12[1] // Calculate extreme point ep12 := trend_change12 and trend_dir12 == 1 ? high : trend_change12 and trend_dir12 == -1 ? low : trend_dir12 == 1 ? math.max(ep12[1], high * (1 + xpr12)) : math.min(ep12[1], low * (1 - xpr12)) // Calculate PSAR psar12 := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change12 ? ep12[1] : trend_dir12 == 1 ? psar12[1] + af12 * (ep12 - psar12[1]) : psar12[1] - af12 * (psar12[1] - ep12) plot(psar12, style = plot.style_stepline, color = trend_dir12 == 1 ? color.yellow : color.blue,title = "Range",linewidth = 1) al=ta.crossover(psar, psar12) plotshape(al) al1=ta.crossover(close, psar) plotshape(al1) /////////////////////// //////

PHP Code:

//@version=6 indicator(title = '....', shorttitle = '.', overlay = true) start1 = input(0.1) increment1 = input(0.1) maximum1 = input(0.1) xo = input(0.01) xpr = input(0.01) psar = 0.0 // PSAR af = 0.0 // Acceleration Factor trend_dir = 0 // Current direction of PSAR ep = 0.0 // Extreme point sar_long_to_short = trend_dir[1] == 1 and close <= psar[1] * (1 - xo) // PSAR switches from long to short and exceeds xo filter sar_short_to_long = trend_dir[1] == -1 and close >= psar[1] * (1 + xo) // PSAR switches from short to long and exceeds xo filter trend_change = barstate.isfirst[1] or sar_long_to_short or sar_short_to_long // Calculate trend direction trend_dir := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short ? -1 : sar_short_to_long ? 1 : nz(trend_dir[1]) // Calculate Acceleration Factor af := trend_change ? start1 : trend_dir == 1 and high > ep[1] or trend_dir == -1 and low < ep[1] ? math.min(maximum1, af[1] + increment1) : af[1] // Calculate extreme point ep := trend_change and trend_dir == 1 ? high : trend_change and trend_dir == -1 ? low : trend_dir == 1 ? math.max(ep[1], high * (1 + xpr)) : math.min(ep[1], low * (1 - xpr)) // Calculate PSAR psar := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change ? ep[1] : trend_dir == 1 ? psar[1] + af * (ep - psar[1]) : psar[1] - af * (psar[1] - ep) plot(psar, style = plot.style_stepline, color = trend_dir == 1 ? color.yellow : color.blue,title = "Range",linewidth = 1) //////////////////// start12 = input(0.2) increment12 = input(0.2) maximum12 = input(0.2) xo12 = input(0.01) xpr12 = input(0.01) psar12 = 0.0 // PSAR af12 = 0.0 // Acceleration Factor trend_dir12 = 0 // Current direction of PSAR ep12 = 0.0 // Extreme point sar_long_to_short12 = trend_dir12[1] == 1 and close <= psar12[1] * (1 - xo12) // PSAR switches from long to short and exceeds xo filter sar_short_to_long12 = trend_dir12[1] == -1 and close >= psar12[1] * (1 + xo12) // PSAR switches from short to long and exceeds xo filter trend_change12 = barstate.isfirst[1] or sar_long_to_short12 or sar_short_to_long12 // Calculate trend direction trend_dir12 := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short12 ? -1 : sar_short_to_long12 ? 1 : nz(trend_dir12[1]) // Calculate Acceleration Factor af12 := trend_change12 ? start12 : trend_dir12 == 1 and high > ep12[1] or trend_dir12 == -1 and low < ep12[1] ? math.min(maximum12, af12[1] + increment12) : af12[1] // Calculate extreme point ep12 := trend_change12 and trend_dir12 == 1 ? high : trend_change12 and trend_dir12 == -1 ? low : trend_dir12 == 1 ? math.max(ep12[1], high * (1 + xpr12)) : math.min(ep12[1], low * (1 - xpr12)) // Calculate PSAR psar12 := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change12 ? ep12[1] : trend_dir12 == 1 ? psar12[1] + af12 * (ep12 - psar12[1]) : psar12[1] - af12 * (psar12[1] - ep12) plot(psar12, style = plot.style_stepline, color = trend_dir12 == 1 ? color.yellow : color.blue,title = "Range",linewidth = 1)

PHP Code:

//@version=6 indicator(title = '.', shorttitle = '.') ao = ta.sma(hl2, 5) - ta.sma(hl2, 45) plot(ao, color = ta.change(ao) <= 0 ? color.red : color.green, style = plot.style_cross, linewidth = 2)

çok...sade....

Alıntı:

Originally Posted by @yörük@

PHP Code:

//@version=6 indicator(title = '.', shorttitle = '.') ao = ta.sma(hl2, 5) - ta.sma(hl2, 45) plot(ao, color = ta.change(ao) <= 0 ? color.red : color.green, style = plot.style_cross, linewidth = 2)

çok...sade....

neden....çünkü... barın yüksek düşük/2 sini veri olarak alıp,
5barlık sma dan, 45 barlık sma....çıkarıp...
sıfırdan küçük veya büyük olmasına göre...hesaplanıp....çiziliyor....

buna strateji yazılsa....ve grafiğin üzerine atılsa ne güzel olurdu....

ama referans aralıkları farklı....

aynı grafiğe atabilmek için....

ya bar renklendirme....
ya da
zemin renklendirme yapmak gerekir...

böylece...yazılan strateji...çok rahat görülür...

örnek....
https://www.tradingview.com/x/kcpV2WUj/
https://www.tradingview.com/x/2yNlpXXL/
https://www.tradingview.com/x/CAP0Y87Q/
https://www.tradingview.com/x/ge5heEHW/

PHP Code:

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ //@version=6 indicator(".", overlay = true, max_lines_count = 500, max_labels_count=500) //////////////// MAS TREND VE BAR RENKLENDİRMESİDİR ///////////////////////// type_ma = input.string("SMA", "Type", options = ["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group = "MA") length = input.int(10, "Length", inline = "ma", group = "MA") source = input.source(hl2, "", inline = "ma", group = "MA") grp = "MA Shift Oscillator" osc_len = input.int(15, "Length", group = grp, inline = "osc") osc_threshold = input.float(0.5, "", step = 0.1, group = grp, inline = "osc") // Colors osc_col_up1 = input.color(#1dd1c2, "", inline = "c", group = "color") osc_col_up2 = input.color(#17a297, "", inline = "c", group = "color") osc_col_dn1 = input.color(color.yellow, "", inline = "c", group = "color") osc_col_dn2 = input.color(color.orange, "", inline = "c", group = "color") // Smoothing MA Calculation ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // MA MA = ma(source, length, type_ma) color = source >= MA ? osc_col_up2 : osc_col_dn2 // Osc diff = source - MA perc_r = ta.percentile_linear_interpolation(diff, 1000, 99) osc = ta.hma(ta.change(diff / perc_r, osc_len), 10) osc_col = osc > 0 ? (osc > osc[1] ? osc_col_up1 : osc_col_up2) : (osc < osc[1] ? osc_col_dn1 : osc_col_dn2) // MAs Plot plot(MA, "MAS TREND", color=color, force_overlay = true, linewidth = 2) barcolor(color) /////////////////// 40 SMA İLE TREND TAKİP HESAPLAMASIDIR /////////////////////// smaHigh = ta.sma(high, 40) smaLow = ta.sma(low, 40) mf=(smaHigh+smaLow)/2 plot(mf, title = 'SMA TREND ', color = #fd07f5, linewidth = 2) ///////////////// YÜZDEYLE TREND VE KANAL HESAPLAMASIDIR ////////////////// //@version=6 // Input for the filter smoothness parameter lambda = input.int(100, 'Smoothness Parameter (λ)', minval = 1) // Input to switch between percentage and price difference views displayMode = input.string('Percentage', 'Display Mode', options = ['Percentage', 'Price Difference']) // Function to calculate the approximate HP trend component hpFilter(src, lambda) => var float trend = na trend := na(trend[1]) ? src : (src + (lambda - 1) * nz(trend[1])) / lambda trend // Calculate the HP Filter (trend component) hp_trend = hpFilter(close, lambda) // Calculate the cycle component as both percentage and price difference cycle_pct = (close - hp_trend) / hp_trend * 100 cycle_price = close - hp_trend // Arrays to store positive and negative cycle percentage values var pos_values = array.new_float() var neg_values = array.new_float() // Collect positive and negative cycle percentage values if displayMode == 'Percentage' if cycle_pct > 0 array.push(pos_values, cycle_pct) else if cycle_pct < 0 array.push(neg_values, cycle_pct) // Calculate medians for values above and below zero pos_median = array.size(pos_values) > 0 ? array.avg(pos_values) : na neg_median = array.size(neg_values) > 0 ? array.avg(neg_values) : na // Target circles longtarget = pos_median / 100 * hp_trend + hp_trend shorttaget = neg_median / 100 * hp_trend + hp_trend // Conditional plotting based on the selected display mode //plot(displayMode == 'Percentage' ? cycle_pct : na, title = 'HP Filter Divergence (%)', color = color.blue, linewidth = 1) //plot(displayMode == 'Price Difference' ? cycle_price : na, title = 'HP Filter Divergence (Price)', color = color.blue, linewidth = 1) //hline(0, 'Zero Line', linestyle = hline.style_dashed) // Plot the cycle component in the new pane plot(hp_trend, title = 'YÖRÜK TREND', color = color.gray, linewidth = 2, force_overlay = true) plot(longtarget, title = 'YÖRÜK ÜST KANAL', color = color.gray, force_overlay = true, style = plot.style_line) plot(shorttaget, title = 'YÖRÜK ALT KANAL', color = color.gray, force_overlay = true, style = plot.style_line) // Plot horizontal lines for the median values above and below zero //plot(pos_median, 'Positive Median Line', color = color.green) //plot(neg_median, 'Negative Median Line', color = color.purple) ////////////////////// ATR TREND HESAPLAMASIDIR ///////////////////// //@version=6 var params = "Parameters" src55 = nz(input.source(close, title = "Source", group = params)) len55 = input.int(10, title = "ATR Len", group = params) multi55 = input.float(1.5, title = "Multi", step = 0.25, minval = 0, group = params) var disp = "Display" rng_tog = input.bool(true, title = "Consolidation Ranges", group = disp) atr_tog = input.bool(false, title = "ATR Channel", group = disp) var cols = "Colors" up_col = input.color(#3daa45, title = "Up Color", group = cols) down_col = input.color(#ff033e, title = "Down Color", group = cols) flat_col = input.color(color.rgb(235, 243, 6), title = "Flat Color", inline = "3", group = cols) rng_col = input.color(#004d9233, title = "", inline = "3", group = cols) //Smooths a Source similar to Rope Stabilization in a Drawing Application. OR a "Range Filter" as some might say ;) rope_smoother(float _src55, float _threshold) => var float _rope = _src55 _move = _src55 - _rope //Movement from Rope _rope += math.max(math.abs(_move) - nz(_threshold), 0) * math.sign(_move) //Directional Movement beyond the Threshold [_rope,_rope+_threshold,_rope-_threshold] //[Rope, Upper, Lower] ///_____________________________________________________________________________________________________________________ ///Rope Calcs ///‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ //Calculating Rope atr = ta.atr(len55)*multi55 [rope,upper,lower] = rope_smoother(src55,atr) //Directional Detection var dir = 0 dir := rope > rope[1] ? 1 : rope < rope[1] ? -1 : dir if ta.cross(src55,rope) dir := 0 //Directional Color Assignment col = dir > 0 ? up_col : dir < 0 ? down_col : flat_col ///_____________________________________________________________________________________________________________________ ///Consolidation Ranges ///‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ //High and Low Output Lines var float c_hi = na var float c_lo = na //Counters for Accumulating Averages var float h_sum = 0 var float l_sum = 0 var int c_count = 0 //Flip-Flop var ff = 1 //Flip Flop, Pip Slip Top, //Bear Drop, Bull Pop, Lunch Time Chop, //Tight Stop, Desktop Prop. if dir == 0 if dir[1] != 0 h_sum := 0 l_sum := 0 c_count := 0 ff := ff * -1 h_sum += upper l_sum += lower c_count += 1 c_hi := h_sum/c_count c_lo := l_sum/c_count ///_____________________________________________________________________________________________________________________ ///Display ///‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ //Rope plot(rope, linewidth = 3, color = col, title = "ATR TREND", force_overlay = true) /////////////////////////// ZEMİNİ RSİ TRENDE GÖRE RENKLENDİRME HESAPLAMASIDIR /////////////////// src88 = input.source(close,"RSI Source",group = "Connors RSI") lenrsi = input(24, "RSI Length",group = "Connors RSI") lenupdown = input(20, "UpDown Length",group = "Connors RSI") lenroc = input(75, "ROC Length",group = "Connors RSI") z_score_length = input(14, "Z-Score Lookback",group = "Filtering") threshold = input.float(1.5, "Z-Score Threshold", step=0.025,group = "Filtering") trendingLongThreshold = input.float(65, "Trending Long Threshold" ,group = "Filtering") trendingShortThreshold = input.float(35, "Trending Short Threshold",group = "Filtering") revertingLongThreshold = input.float(70, title="Reverting Long Threshold",group = "Filtering") revertingShortThreshold = input.float(30, title="Reverting Short Threshold",group = "Filtering") // ─── CONNORS RSI ────────────────────────────────────────────────────────── updown(s) => isEqual = s == s[1] isGrowing = s > s[1] ud = 0.0 ud := isEqual ? 0 : isGrowing ? (nz(ud[1]) <= 0 ? 1 : nz(ud[1])+1) : (nz(ud[1]) >= 0 ? -1 : nz(ud[1])-1) ud rsi88 = ta.rsi(src88, lenrsi) updownrsi = ta.rsi(updown(src88), lenupdown) percentrank = ta.percentrank(ta.roc(src88, 1), lenroc) crsi = math.avg(rsi88, updownrsi, percentrank) // ─── Z-SCORING ────────────────────────────────────────────────────────── mean = ta.sma(crsi, z_score_length) stdDev = ta.stdev(crsi, z_score_length) zScore88 = (crsi - mean) / stdDev isTrending = math.abs(zScore88) > threshold // ─── Signal Generation ──────────────────────────────────────────────── var int signal = 0 if barstate.isconfirmed if isTrending signal := crsi > trendingLongThreshold ? 1 : crsi < trendingShortThreshold ? -1 : signal[1] else signal := crsi > revertingLongThreshold ? 1 : crsi < revertingShortThreshold ? -1 : signal[1] trendColor = signal == 1 ? #17dfad : signal == -1 ? #dd326b : color.gray //decor = plot(crsi,"Decor",style = plot.style_columns,histbase = 50,color=trendColor,linewidth = 2) bgcolor(color.new(trendColor,75)) //plotcandle(open,high,low,close,"Candles",color=trendColor,wickcolor = trendColor,bordercolor = trendColor,force_overlay = true) ///////////// //@version=6 // Color variables upTrendColor = color.green neutralColor = #0e0e0e downTrendColor = color.red fillColor = color.rgb(12, 12, 12, 70) // Color between lines yellowColor = color.rgb(230, 214, 2) blackTextColor = color.rgb(0, 0, 0) blueColor = color.rgb(233, 217, 0) whiteTextColor = color.rgb(7, 7, 7) greenColor = color.green redColor = color.red // Source source99 = input(defval = close, title = 'Source') // Sampling Period period = input.int(defval = 50, minval = 1, title = 'Sampling Period') // Range Multiplier multiplier = input.float(defval = 3.0, minval = 0.1, title = 'Range Multiplier') // Take Profit Settings takeProfitPips = input.float(defval = 600.0, title = 'Take Profit (in pips)') // Smooth Average Range smoothRange(x, t, m) => adjustedPeriod = t * 2 - 1 avgRange = ta.ema(math.abs(x - x[1]), t) smoothRange = ta.ema(avgRange, adjustedPeriod) * m smoothRange smoothedRange = smoothRange(source99, period, multiplier) // Trend Filter trendFilter(x, r) => filtered = x filtered := x > nz(filtered[1]) ? x - r < nz(filtered[1]) ? nz(filtered[1]) : x - r : x + r > nz(filtered[1]) ? nz(filtered[1]) : x + r filtered filter = trendFilter(source, smoothedRange) // Filter Direction upCount = 0.0 upCount := filter > filter[1] ? nz(upCount[1]) + 1 : filter < filter[1] ? 0 : nz(upCount[1]) downCount = 0.0 downCount := filter < filter[1] ? nz(downCount[1]) + 1 : filter > filter[1] ? 0 : nz(downCount[1]) // Colors filterColor = upCount > 0 ? upTrendColor : downCount > 0 ? downTrendColor : neutralColor // Double Line Design //lineOffset = smoothedRange * 0.1 //upperLinePlot = plot(filter + lineOffset, color = filterColor, linewidth = 1, title = 'EMA TREND') //lowerLinePlot = plot(filter - lineOffset, color = filterColor, linewidth = 1, title = 'Düşüş Trend Çizgisi') //fill(upperLinePlot, lowerLinePlot, color = fillColor, title = 'Trend Fill') // Break Outs longCondition = bool(na) shortCondition = bool(na) longCondition := source99 > filter and source99 > source99[1] and upCount > 0 or source99 > filter and source99 < source99[1] and upCount > 0 shortCondition := source99 < filter and source99 < source99[1] and downCount > 0 or source99 < filter and source99 > source99[1] and downCount > 0 initialCondition = 0 initialCondition := longCondition ? 1 : shortCondition ? -1 : initialCondition[1] longSignal = longCondition and initialCondition[1] == -1 shortSignal = shortCondition and initialCondition[1] == 1 // Take Profit Logic var float entryPriceBuy = na var float entryPriceSell = na takeProfitSignalBuy = false takeProfitSignalSell = false if longSignal entryPriceBuy := source99 entryPriceBuy if not na(entryPriceBuy) and source99 >= entryPriceBuy + takeProfitPips * syminfo.mintick takeProfitSignalBuy := true entryPriceBuy := na entryPriceBuy if shortSignal entryPriceSell := source99 entryPriceSell if not na(entryPriceSell) and source99 <= entryPriceSell - takeProfitPips * syminfo.mintick takeProfitSignalSell := true entryPriceSell := na entryPriceSell // Alerts and Signals plotshape(longSignal, title = 'Smart Buy Signal', text = 'Al', textcolor = color.white, style = shape.labelup, size = size.small, location = location.belowbar, color = greenColor) plotshape(shortSignal, title = 'Smart Sell Signal', text = 'Sat', textcolor = color.white, style = shape.labeldown, size = size.small, location = location.abovebar, color = redColor) //plotshape(takeProfitSignalBuy, title = 'Book Profit Buy', text = 'Book Profit', textcolor = blackTextColor, style = shape.labeldown, size = size.small, location = location.abovebar, color = yellowColor) //plotshape(takeProfitSignalSell, title = 'Book Profit Sell', text = 'Book Profit', textcolor = whiteTextColor, style = shape.labelup, size = size.small, location = location.belowbar, color = blueColor) ///////////////////// FİBO TREND HESAPLAMASIDIR /////////////////// //@version=6 grp1 = "Indicator Settings" tpAggressiveness = input.string("low", "TP Aggressiveness", options=["low", "medium", "high"], group=grp1, tooltip="Controls how aggressive the Take Profit (TP) trigger is. Low = slower exits, High = faster exits.", display = display.data_window) src44 = input.source(hlc3, "Source", group=grp1, tooltip="Price source used for band calculations", display = display.data_window) len44 = input.int(10, "Length", group=grp1, tooltip="Length for the basis calculation", display = display.data_window) atrLen44 = input.int(10, "ATR Length", group=grp1, tooltip="Length for ATR or Stdev volatility basis", display = display.data_window) useATR = input.bool(true, "Use ATR", group=grp1, tooltip="Toggle between ATR or standard deviation for band width", display = display.data_window) grp2 = "Visual Options" showRej = input.bool(true, "Show Take Profit Crosses", group=grp2, display = display.data_window) showBounce = input.bool(true, "Show Basis Bounce Arrows", group=grp2, display = display.data_window) //colorbar = input.bool(true, "Custom Bar Color", group=grp2, display = display.data_window) //green = input.color(#00ffbb, "Bullish Color", group=grp2, display = display.data_window) //red = input.color(#ff1100, "Bearish Color", group=grp2, display = display.data_window) gray = input.color(color.fuchsia, "Basis Color", group=grp2, display = display.data_window) basis = ta.ema(ta.ema(src44, len44), len44) vol = useATR ? ta.atr(atrLen44) : ta.stdev(src44, len44) mult1 = 0.618 mult2 = 1.0 mult3 = 1.618 mult4 = 2.618 var int trend = 0 trend := basis > basis[1] ? 1 : basis < basis[1] ? -1 : nz(trend[1]) upper1 = basis + vol * mult1 upper2 = basis + vol * mult2 upper3 = basis + vol * mult3 upper4 = basis + vol * mult4 lower1 = basis - vol * mult1 lower2 = basis - vol * mult2 lower3 = basis - vol * mult3 lower4 = basis - vol * mult4 plot(basis, title="Fibo-Trend", color=gray, linewidth=1) ///////////////////////MACD TREND HESAPLAMASIDIR///////////////// //@version=6 // Input fastlen1 = input(2, title = 'Fast Moving Average') slowlen1 = input(3, title = 'Slow Moving Average') signallen1 = input(3, title = 'Signal Line') switch21 = input(true, title = 'Enable Moving Averages?') // Calculation fast1 = ta.ema(close, fastlen1) slow1 = ta.ema(close, slowlen1) MACD1= fast1 - slow1 signal1 = ta.ema(MACD1, signallen1) histogr1 = MACD1 - signal1 // MACD, MA colors MACDcolor1 = fast1 > slow1 ? color.lime : color.red fastcolor1 = ta.change(fast1) > 0 ? color.lime : color.red slowcolor1 = ta.change(slow1) > 0 ? color.lime: color.red MACDupdowncolor1 = ta.change(MACD1) > 0 ? color.lime : color.red // MACD histogram colors histogrMACDcolor1 = MACD1 > histogr1 ? color.lime : color.red histogrzerocolor1 = histogr1 > 0 ? color.lime : color.red histogrupdowncolor1 = ta.change(histogr1) > 0 ? color.lime : color.red // MACD signal line colors signalMACDcolor1 = MACD1 > signal1 ? color.lime : color.red signalzerocolor1 = signal1 > 0 ? color.lime : color.red signalupdowncolor1 = ta.change(signal1) > 0 ? color.lime : color.red S1 = plot(switch21 ? slow1 : na, color = MACDcolor1, linewidth = 1,title="MACD-Trend") /////////////////////// /////////////////// // @variable Length for LOWESS calculation int length77 = input.int(1, minval = 1, title = 'Length', group = 'LOWESS (Locally Weighted Scatterplot Smoothing)') // @variable Number of bars to the left for pivot calculation int leftBars = input.int(5, 'Length', group = 'Pivots') // @variable Number of bars to the right for pivot calculation int rightBars = leftBars - 4 // @variable Line object for high pivot var line line_h = na // @variable Line object for low pivot var line line_l = na // @variable Color for upward movements color col_up = color.yellow // @variable Color for downward movements color col_dn = color.red // Calculate pivot high and low ph = ta.pivothigh(leftBars, rightBars) pl = ta.pivotlow(leftBars, rightBars) //@function Calculates LOWESS (Locally Weighted Scatterplot Smoothing) //@param src (float) Source series //@param length (int) Lookback period //@returns (float) LOWESS value lowess(src79, length77) => sum_w = 0.0 sum_wx = 0.0 sum_wy = 0.0 for i = 0 to length77 - 1 by 1 w = math.pow(1 - math.pow(i / length77, 3), 3) sum_w := sum_w + w sum_wx := sum_wx + w * i sum_wy := sum_wy + w * src79[i] sum_wy a = sum_wy / sum_w b = sum_wx / sum_w a + b / (length77 - 1) / 2000 //@function Calculates Modified Adaptive Gaussian Moving Average //@param src (float) Source series //@param length (int) Lookback period //@returns [float, float] Gaussian MA and smoothed Gaussian MA GaussianMA(src79, length77) => h_l = array.new<float>(length77) float gma = 0.0 float sumOfWeights = 0.0 float sigma = (ta.atr(length77) + ta.stdev(close, length77)) / 2 // Volatility adaption float highest = 0.0 float lowest = 0.0 float smoothed = 0.0 for i = 0 to length77 - 1 by 1 h_l.push(close[i]) highest := h_l.max() lowest := h_l.min() weight = math.exp(-math.pow((i - (length77 - 1)) / (2 * sigma), 2) / 2) value = math.max(highest[i], highest) + math.min(lowest[i], lowest) gma := gma + value * weight sumOfWeights := sumOfWeights + weight sumOfWeights gma := gma / sumOfWeights / 2 smoothed := lowess(gma, 10) [gma, smoothed] [gma, smoothed] = GaussianMA(close, length) smoothedColor = smoothed > smoothed[2] ? col_up : smoothed <= smoothed[2] ? col_dn : na plot(smoothed, 'Pivot trend', smoothedColor) /////////////////////////////STOP HESAPLAMADIR//////////////////////////////////// //@version=6 length66 = input(title = 'ATR Period', defval = 10) mult66 = input.float(title = 'ATR Multiplier', step = 0.1, defval = 2) srca = input(title = 'Source', defval = ohlc4) wicks = input(title = 'Take Wicks into Account ?', defval = true) atr66 = mult66 * ta.atr(length66) highPrice = wicks ? high : close lowPrice = wicks ? low : close doji4price = open == close and open == low and open == high longStop = srca - atr66 longStopPrev = nz(longStop[1], longStop) if longStop > 0 if doji4price longStop := longStopPrev longStop else longStop := lowPrice[1] > longStopPrev ? math.max(longStop, longStopPrev) : longStop longStop else longStop := longStopPrev longStop shortStop = srca + atr66 shortStopPrev = nz(shortStop[1], shortStop) if shortStop > 0 if doji4price shortStop := shortStopPrev shortStop else shortStop := highPrice[1] < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop shortStop else shortStop := shortStopPrev shortStop var int dir66 = 1 dir66 := dir66 == -1 and highPrice > shortStopPrev ? 1 : dir66 == 1 and lowPrice < longStopPrev ? -1 : dir66 var color longColor = color.green var color shortColor = color.red buySignal = dir66 == 1 and dir66[1] == -1 plotshape(buySignal ? longStop : na, title = 'Long Stop Start', location = location.absolute, style = shape.circle, size = size.normal, color = color.new(longColor, 0)) sellSignal = dir66 == -1 and dir66[1] == 1 plotshape(sellSignal ? shortStop : na, title = 'Short Stop Start', location = location.absolute, style = shape.circle, size = size.normal, color = color.new(shortColor, 0)) /////////////////////////SAR İLE KANAL ARALIK HESAPLAMASIDIR//////////////////// //@version=6 start1 = input(0.) increment1 = input(0.1) maximum1 = input(0.9) xo = input(0.01) xpr = input(0.01) psar = 0.0 // PSAR af = 0.0 // Acceleration Factor trend_dir = 0 // Current direction of PSAR ep = 0.0 // Extreme point sar_long_to_short = trend_dir[1] == 1 and close <= psar[1] * (1 - xo) // PSAR switches from long to short and exceeds xo filter sar_short_to_long = trend_dir[1] == -1 and close >= psar[1] * (1 + xo) // PSAR switches from short to long and exceeds xo filter trend_change = barstate.isfirst[1] or sar_long_to_short or sar_short_to_long // Calculate trend direction trend_dir := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short ? -1 : sar_short_to_long ? 1 : nz(trend_dir[1]) // Calculate Acceleration Factor af := trend_change ? start1 : trend_dir == 1 and high > ep[1] or trend_dir == -1 and low < ep[1] ? math.min(maximum1, af[1] + increment1) : af[1] // Calculate extreme point ep := trend_change and trend_dir == 1 ? high : trend_change and trend_dir == -1 ? low : trend_dir == 1 ? math.max(ep[1], high * (1 + xpr)) : math.min(ep[1], low * (1 - xpr)) // Calculate PSAR psar := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change ? ep[1] : trend_dir == 1 ? psar[1] + af * (ep - psar[1]) : psar[1] - af * (psar[1] - ep) plot(psar, style = plot.style_stepline, color = trend_dir == 1 ? color.yellow : color.blue,title = "KANAL",linewidth = 1) //////////////////// start12 = input(0.) increment12 = input(0.01) maximum12 = input(0.9) xo12 = input(0.01) xpr12 = input(0.01) psar12 = 0.0 // PSAR af12 = 0.0 // Acceleration Factor trend_dir12 = 0 // Current direction of PSAR ep12 = 0.0 // Extreme point sar_long_to_short12 = trend_dir12[1] == 1 and close <= psar12[1] * (1 - xo12) // PSAR switches from long to short and exceeds xo filter sar_short_to_long12 = trend_dir12[1] == -1 and close >= psar12[1] * (1 + xo12) // PSAR switches from short to long and exceeds xo filter trend_change12 = barstate.isfirst[1] or sar_long_to_short12 or sar_short_to_long12 // Calculate trend direction trend_dir12 := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short12 ? -1 : sar_short_to_long12 ? 1 : nz(trend_dir12[1]) // Calculate Acceleration Factor af12 := trend_change12 ? start12 : trend_dir12 == 1 and high > ep12[1] or trend_dir12 == -1 and low < ep12[1] ? math.min(maximum12, af12[1] + increment12) : af12[1] // Calculate extreme point ep12 := trend_change12 and trend_dir12 == 1 ? high : trend_change12 and trend_dir12 == -1 ? low : trend_dir12 == 1 ? math.max(ep12[1], high * (1 + xpr12)) : math.min(ep12[1], low * (1 - xpr12)) // Calculate PSAR psar12 := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change12 ? ep12[1] : trend_dir12 == 1 ? psar12[1] + af12 * (ep12 - psar12[1]) : psar12[1] - af12 * (psar12[1] - ep12) plot(psar12, style = plot.style_stepline, color = trend_dir12 == 1 ? color.yellow : color.blue,title = "KANAL",linewidth = 1) //////////////////////

PHP Code:

//@version=6 indicator(title="Parabolic SAR Deviation [BigBeluga]", shorttitle="...", overlay=true, max_lines_count = 500, max_labels_count = 500) //@version=6 init = input.float(0.009, title = 'Initial Start', step = 0.001) fi = input.float(3, title = 'Increment/Start Ratio', step = 0.1) fm = input.float(9, title = 'Max/Start Ratio', step = 0.1) sar01 = ta.sar(init * 01, init * fi * 01, init * fm * 01) sar10 = ta.sar(init * 10, init * fi * 10, init * fm * 10) //plot(sar01, title = '01 SAR', style = plot.style_circles, color = renk ? sar01 > high ? color.red : color.green : color.silver, linewidth = 1) //plot(sar10, title = '10 SAR', style = plot.style_circles, color = renk ? sar10 > high ? color.red : color.green : color.silver, linewidth = 1) fd=(sar01+sar10)/2 plot(fd, title = 'SAR TREND', style = plot.style_stepline, color = renk ? fd > high ? color.red : color.green : color.silver, linewidth = 2) //////////////////////////////// //@version=6 start = input(0.) increment = input(0.1) maximum = input(0.9, "Max Value") out55 = ta.sar(start, increment, maximum) plot_color = close > out55 ? color.rgb(5, 182, 64) : close < out55 ? color.rgb(169, 7, 7) : na show_header = input(false, title="Show header?", group='Table Settings') dashboard_position = input.string("Top center", title="Position", options=["Top right", "Top center", "Middle right"], group='Table Settings') text_size = input.string('Normal', title="Size", options=["Tiny", "Small", "Normal", "Large"], group='Table Settings') text_color = input.color(color.rgb(11, 68, 224), title="Text color", group='Table Settings') table_color = input.color(color.purple, title="Border color", group='Table Settings') uptrend_indicator = "🔵" downtrend_indicator = "🟠" tf1 = input.timeframe("1", title="Timeframe 1") tf2 = input.timeframe("3", title="Timeframe 2") tf3 = input.timeframe("5", title="Timeframe 3") tf4 = input.timeframe("10", title="Timeframe 4") tf5 = input.timeframe("15", title="Timeframe 5") tf6 = input.timeframe("30", title="Timeframe 6") tf7 = input.timeframe("60", title="Timeframe 7") tf8 = input.timeframe("120", title="Timeframe 8") tf9 = input.timeframe("240", title="Timeframe 9") tf10 = input.timeframe("D", title="Timeframe 10") var table_position = dashboard_position == 'Top center' ? position.top_center : dashboard_position == 'Top center' ? position.top_center : dashboard_position == 'Middle right' ? position.middle_right : position.middle_right var table_text_size = text_size == 'Normal' ? size.normal : text_size == 'Small' ? size.small : size.normal var t = table.new(position=table_position, columns=3, rows=20, frame_color=#cdcbcb, frame_width=5, border_color=table_color, border_width=1,bgcolor =color.rgb(21, 21, 21) ) get_trend_status(trend_value) => is_uptrend = close > trend_value candle_now = is_uptrend ? uptrend_indicator : downtrend_indicator candle_now //-------------------------------------------------------------------------------------- sar_1 = request.security(syminfo.tickerid, tf1, ta.sar(start, increment, maximum)) sar_2 = request.security(syminfo.tickerid, tf2, ta.sar(start, increment, maximum)) sar_3 = request.security(syminfo.tickerid, tf3, ta.sar(start, increment, maximum)) sar_4 = request.security(syminfo.tickerid, tf4, ta.sar(start, increment, maximum)) sar_5 = request.security(syminfo.tickerid, tf5, ta.sar(start, increment, maximum)) sar_6 = request.security(syminfo.tickerid, tf6, ta.sar(start, increment, maximum)) sar_7 = request.security(syminfo.tickerid, tf7, ta.sar(start, increment, maximum)) sar_8 = request.security(syminfo.tickerid, tf8, ta.sar(start, increment, maximum)) sar_9 = request.security(syminfo.tickerid, tf9, ta.sar(start, increment, maximum)) sar_10 = request.security(syminfo.tickerid, tf10, ta.sar(start, increment, maximum)) trend_indicator_1 = get_trend_status(sar_1) trend_indicator_2 = get_trend_status(sar_2) trend_indicator_3 = get_trend_status(sar_3) trend_indicator_4 = get_trend_status(sar_4) trend_indicator_5 = get_trend_status(sar_5) trend_indicator_6 = get_trend_status(sar_6) trend_indicator_7 = get_trend_status(sar_7) trend_indicator_8 = get_trend_status(sar_8) trend_indicator_9 = get_trend_status(sar_9) trend_indicator_10 = get_trend_status(sar_10) if tf1 == "60" tf1 := "1H" if tf1 == "120" tf1 := "2H" if tf1 == "180" tf1 := "3H" if tf1 == "240" tf1 := "4H" if tf2 == "60" tf2 := "1H" if tf2 == "120" tf2 := "2H" if tf2 == "180" tf2 := "3H" if tf2 == "240" tf2 := "4H" if tf3 == "60" tf3 := "1H" if tf3 == "120" tf3 := "2H" if tf3 == "180" tf3 := "3H" if tf3 == "240" tf3 := "4H" if tf4 == "60" tf4 := "1H" if tf4 == "120" tf4 := "2H" if tf4 == "180" tf4 := "3H" if tf4 == "240" tf4 := "4H" if tf5 == "60" tf5 := "1H" if tf5 == "120" tf5 := "2H" if tf5 == "180" tf5 := "3H" if tf5 == "240" tf5 := "4H" if tf6 == "60" tf6 := "1H" if tf6 == "120" tf6 := "2H" if tf6 == "180" tf6 := "3H" if tf6 == "240" tf6 := "4H" if tf7 == "60" tf7 := "1H" if tf7 == "120" tf7 := "2H" if tf7 == "180" tf7 := "3H" if tf7 == "240" tf7 := "4H" if tf8 == "60" tf8 := "1H" if tf8 == "120" tf8 := "2H" if tf8 == "180" tf8 := "3H" if tf8 == "240" tf8 := "4H" if tf9 == "60" tf9 := "1H" if tf9 == "120" tf9 := "2H" if tf9 == "180" tf9 := "3H" if tf9 == "240" tf9 := "4H" if tf10 == "60" tf10 := "1H" if tf10 == "120" tf10 := "2H" if tf10 == "180" tf10 := "3H" if tf10 == "240" tf10 := "4H" //--------------------------------------------------------------------------------------------- // Update table with trend data //--------------------------------------------------------------------------------------------- if (barstate.islast) table.cell(t, 0, 1, tf1, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 1, text="●", text_color=trend_indicator_1==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 1, str.tostring(sar_1, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 2, tf2, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 2, text="●", text_color=trend_indicator_2==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 2, str.tostring(sar_2, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 3, tf3, text_color=color.white, text_size=table_text_size,bgcolor= color.rgb(21, 21, 21)) table.cell(t, 1, 3, text="●", text_color=trend_indicator_3==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 3, str.tostring(sar_3, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 4, tf4, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 4, text="●", text_color=trend_indicator_4==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 4, str.tostring(sar_4, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 5, tf5, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 5, text="●", text_color=trend_indicator_5==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 5, str.tostring(sar_5, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 6, tf6, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 6, text="●", text_color=trend_indicator_6==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 6, str.tostring(sar_6, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 7, tf7, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 7, text="●", text_color=trend_indicator_7==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 7, str.tostring(sar_7, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 8, tf8, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 8, text="●", text_color=trend_indicator_8==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 8, str.tostring(sar_8, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 9, tf9, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 9, text="●", text_color=trend_indicator_9==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 9, str.tostring(sar_9, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 10, tf10, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 10, text="●", text_color=trend_indicator_10==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 10, str.tostring(sar_10, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t,0,0,"Periyot",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) table.cell(t,1,0,"Trend",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) table.cell(t,2,0,"Fiyat",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) lookback = input.int(5, "Line Lookback Period", minval=1) //////////////////////////DEVİNASYON İLE SMA HESAPLAMASIDIR/////////////////////// //@version=6 bool prices = input.bool(true, "Signals", group = "SAR") color col_up = input.color(#40c3fb, "", inline = "col", group = "SAR") color col_dn = input.color(#e040fb, "", inline = "col", group = "SAR") float deviation_size = input.float(3.5, "Deviation", step = 0.1, group = "Deviation Levels") color color_na = color.new(color.black, 100) color standart_col = chart.fg_color out88 = ta.sma(close,40) deviation_levels(trend)=> float dist = ta.sma(high-low, 100)*deviation_size var lines = array.new<line>(1, line(na)) var labels = array.new<label>(1, label(na)) if trend != trend[1] for i = 1 to 4 y = trend ? close+dist*i : close-dist*i bool trend = close > out88 bool trend_up = ta.crossover(close, out88) and barstate.isconfirmed bool trend_dn = ta.crossunder(close, out88) and barstate.isconfirmed color trend_col = trend ? col_up : col_dn if prices if trend_up label.new(bar_index, out88, "▲\n" + str.tostring(close, "#,###.####"), style=label.style_label_up, textcolor = trend_col, color = color_na) if trend_dn label.new(bar_index, out88, str.tostring(close, "#,###.####") + "\n▼", style=label.style_label_down, textcolor = trend_col, color = color_na) //deviation_levels(trend) ///////////////DEVİNASYON VE 40 EMA İLE SAR TREND HESAAPLAMASIDIR////////////////////// s13 = ta.sar(0, 0.1, 0.9) lookBack13 = input(40) multi13 = input.float(1, title = 'Multiplier', minval = 0.001, maxval = 2) mean13 = ta.ema(s13, lookBack13) stddev = multi13 * ta.stdev(s13, lookBack13) b123 = mean13 + stddev s232 = mean13 - stddev meanp = plot(mean13, title = 'Sar Trend', color = color.new(color.yellow, 0)) //////////////////SAR İLE KANAL ARASI HESAPLAMASIDIR/////////////////////////// //@version=6 start1 = input(0.) increment1 = input(0.1) maximum1 = input(0.9) xo = input(0.01) xpr = input(0.01) psar = 0.0 // PSAR af = 0.0 // Acceleration Factor trend_dir = 0 // Current direction of PSAR ep = 0.0 // Extreme point sar_long_to_short = trend_dir[1] == 1 and close <= psar[1] * (1 - xo) // PSAR switches from long to short and exceeds xo filter sar_short_to_long = trend_dir[1] == -1 and close >= psar[1] * (1 + xo) // PSAR switches from short to long and exceeds xo filter trend_change = barstate.isfirst[1] or sar_long_to_short or sar_short_to_long // Calculate trend direction trend_dir := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short ? -1 : sar_short_to_long ? 1 : nz(trend_dir[1]) // Calculate Acceleration Factor af := trend_change ? start1 : trend_dir == 1 and high > ep[1] or trend_dir == -1 and low < ep[1] ? math.min(maximum1, af[1] + increment1) : af[1] // Calculate extreme point ep := trend_change and trend_dir == 1 ? high : trend_change and trend_dir == -1 ? low : trend_dir == 1 ? math.max(ep[1], high * (1 + xpr)) : math.min(ep[1], low * (1 - xpr)) // Calculate PSAR psar := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change ? ep[1] : trend_dir == 1 ? psar[1] + af * (ep - psar[1]) : psar[1] - af * (psar[1] - ep) plot(psar, style = plot.style_stepline, color = trend_dir == 1 ? color.yellow : color.blue,title = "KANAL",linewidth = 1) //////////////////// start12 = input(0.) increment12 = input(0.01) maximum12 = input(0.9) xo12 = input(0.01) xpr12 = input(0.01) psar12 = 0.0 // PSAR af12 = 0.0 // Acceleration Factor trend_dir12 = 0 // Current direction of PSAR ep12 = 0.0 // Extreme point sar_long_to_short12 = trend_dir12[1] == 1 and close <= psar12[1] * (1 - xo12) // PSAR switches from long to short and exceeds xo filter sar_short_to_long12 = trend_dir12[1] == -1 and close >= psar12[1] * (1 + xo12) // PSAR switches from short to long and exceeds xo filter trend_change12 = barstate.isfirst[1] or sar_long_to_short12 or sar_short_to_long12 // Calculate trend direction trend_dir12 := barstate.isfirst[1] and close[1] > open[1] ? 1 : barstate.isfirst[1] and close[1] <= open[1] ? -1 : sar_long_to_short12 ? -1 : sar_short_to_long12 ? 1 : nz(trend_dir12[1]) // Calculate Acceleration Factor af12 := trend_change12 ? start12 : trend_dir12 == 1 and high > ep12[1] or trend_dir12 == -1 and low < ep12[1] ? math.min(maximum12, af12[1] + increment12) : af12[1] // Calculate extreme point ep12 := trend_change12 and trend_dir12 == 1 ? high : trend_change12 and trend_dir12 == -1 ? low : trend_dir12 == 1 ? math.max(ep12[1], high * (1 + xpr12)) : math.min(ep12[1], low * (1 - xpr12)) // Calculate PSAR psar12 := barstate.isfirst[1] and close[1] > open[1] ? low[1] : barstate.isfirst[1] and close[1] <= open[1] ? high[1] : trend_change12 ? ep12[1] : trend_dir12 == 1 ? psar12[1] + af12 * (ep12 - psar12[1]) : psar12[1] - af12 * (psar12[1] - ep12) plot(psar12, style = plot.style_stepline, color = trend_dir12 == 1 ? color.yellow : color.blue,title = "KANAL",linewidth = 1) ///////////////////

PHP Code:

//@version=6 indicator('...', overlay = true, max_bars_back = 100) renk = input(true) //////başlangıç ve imza kısmıdır.//////////////// a1 = ta.sar(0., 0.043, 0.34) a2 = ta.sar(0.1, 0., 0.34) a3 = ta.sar(0.1, 0.01, 0.5) a5 = ta.sar(0., 0.04, 0.4) a6 = ta.sar(0., 0.03, 0.3) a7 = ta.sar(0., 0.02, 0.2) a8 = ta.sar(0., 0.01, 0.1) plot(a1, title='6', style=plot.style_stepline, color=renk ? a1 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth=1) plot(a2, title='4', style=plot.style_stepline, color=renk ? a2 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth=1) plot(a3, title = '1', style = plot.style_stepline, color = renk ? a3 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth = 1) plot(a5, title = '2', style = plot.style_stepline, color = renk ? a5 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth = 1) plot(a6, title='5', style=plot.style_stepline, color=renk ? a6 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth=1) plot(a7, title = '3', style = plot.style_stepline, color = renk ? a7 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth = 1) plot(a8, title='0', style=plot.style_stepline, color=renk ? a8 > close ? color.rgb(247, 3, 3, 00) : color.rgb(24, 250, 4, 00) : color.silver, linewidth=1) //////////////////// //@version=6 UV = ta.sar(0., 0.1, 0.9) OV = ta.sar(0., 0.1, 0.1) OV1 = ta.sar(0, 0.01, 0.9) plot(UV, title = '1,Döngü', style = plot.style_circles, color = renk ? UV > close ? color.red : color.lime : color.silver, linewidth = 2) plot(OV, title = '2.Döngü', style = plot.style_circles, color = renk ? OV > close ? color.red : color.lime : color.silver, linewidth = 2) plot(OV1, title = '3.Döngü', style = plot.style_circles, color = renk ? OV1 > close ? color.red : color.lime : color.silver, linewidth = 2)

https://www.tradingview.com/x/s1pj8T1T/

https://www.tradingview.com/x/JCP9Z6OV/

https://www.tradingview.com/x/kU0k03To/

https://www.tradingview.com/x/o8Pmtqzx/
https://www.tradingview.com/x/SX1JrBwB/
https://www.tradingview.com/x/QeLlcU56/

https://www.tradingview.com/x/AVUKo8rv/

https://www.tradingview.com/x/JaPNf7UV/

ath 132,70 miş...

Alıntı:

Originally Posted by @yörük@

https://www.tradingview.com/x/AVUKo8rv/

https://www.tradingview.com/x/JaPNf7UV/

ath 132,70 miş...

fiili dolaşımdaki lotun neredeyse yarısı kadar mkk kaydedilmiş....dolaşım 58.7 milyon lot kaydedilen 27milyon lot.....

https://www.kap.org.tr/tr/Bildirim/1449546 18.22de
Şirketimiz Yönetim Kurulu 17/06/2025 tarihinde toplanarak,

1- Şirketimiz tarafından Sanayi Mah. Teknopark Bul. Teknopark 4/A N1/4A/201 Pendik İstanbul adresinde mukim İstanbul Ticaret Sicil Müdürlüğü nezdinde 924793-0 ticaret numarası ile kayıtlı Altınay Savunma Teknolojileri A.Ş. ââ‚¬Ëœne ("Altınay Savunma") pay devri yoluyla Şirket tarafından iştirak edilerek yatırım yapılmasına,

2- Altınay Savunma Teknolojileri A.Ş. sermayesinin % 1,77 ââ‚¬Ëœsine tekabül eden her biri 60,00-TL itibari değerdeki 4.166.666 adet halka kapalı nama yazılı payın, 249.999.960,00 TL tutarındaki devir bedeli karşılığında Altınay Savunma'nın mevcut pay sahiplerinden Letven Capıtal Girişim Sermayesi Portföy Yönetimi A.Ş. Milres Girişim Sermayesi Yatırım Fonu'ndan devralınmasına,

3- Yukarıdaki hususlar çerçevesinde hazırlanan Pay Devir Sözleşmesi ile pay devri işlemlerinin tamamlanması için gerekli olan diğer belgelerin imzalanmasına,

4- Şirketimiz tarafından gerçekleştirilecek girişim sermayesi yatırımına ilişkin işlemler kapsamında Sermaye Piyasası Kurulu, Ticaret Sicil müdürlükler ve diğer ilgili kurumlar nezdinde her türlü başvuru, iş ve işlemlerin yapılması için Şirketimiz Genel Müdürü Sayın Ersoy Çoban'ın yetkilendirilmesine,

Toplantıya katılanların oy birliği ile karar verilmiştir.

https://www.kap.org.tr/tr/Bildirim/1449503 bu da 17.17 de
ALTNY
2
ALTINAY SAVUNMA TEKNOLOJİLERİ A.Ş.
E
BULLS GİRİŞİM SERMAYESİ YATIRIM ORTAKLIĞI ANONİM ŞİRKETİ
4.166.666,000
ALTNY
3
ALTINAY SAVUNMA TEKNOLOJİLERİ A.Ş.
E
BULLS YATIRIM MENKUL DEĞERLER A.Ş.
2.500.000,000
ALTNY
4
ALTINAY SAVUNMA TEKNOLOJİLERİ A.Ş.
E
KEMAL AKKAYA
8.592.157,000
ALTNY
5
ALTINAY SAVUNMA TEKNOLOJİLERİ A.Ş.
E
ÜMİT GÜMÜŞ
11.741.177,000

eğlenceyi bulduk:vk::drunk::evil:

kanal çizelim...
ama fiyatın hareketine göre değil...
aksine.... yüzdeleyelim....

saatliği açtık....önce....https://www.tradingview.com/x/Ro9oKP2n/ 100 değeriyle ortayı çizdik....
sonra....
yüksek ve düşük için......https://www.tradingview.com/x/H07BSP9J/

ya bu değer 250 olsaydı....https://www.tradingview.com/x/vxNWaWLI/
yine yüksek düşük.....https://www.tradingview.com/x/7zldfjzX/

ya 500 olsaydı....https://www.tradingview.com/x/cf9EUwh0/
yine yüksek düşük...https://www.tradingview.com/x/q9ZcMyxh/

sade ortaları görülse....https://www.tradingview.com/x/gvyLArnN/
bunlar geçilmesi zor olan dirençler......

hedef ve destekler ise düşük ve yüksek hesaplamaları....

endeksin niye 9000 altına düşmediği anlaşılıyor ki....
destekler burada toplanmış ama dirençler dağınık.....

h4 periyotta bakınca.....https://www.tradingview.com/x/wtiOdcQk/
500 düşüğüne temas hiç yok......

günlükte bakılınca....https://www.tradingview.com/x/QLjVQ1iz/
100 birim hesaplama dahilinde ki.... 100 birim hesaplama düşüğünü ekim-kasım 2024 de test etmiş sadece....

bakıldığında görülür ki.....250 birim hesaplamanın ortası ile 100 birimin düşüğü birbirine temas halinde ki....
8500 çok kuvvetli destek.....

sonuç hesaplama kullanırken periyot ilişkilendirmesi...
günlük için 100 https://www.tradingview.com/x/NHmnRhCP/
seanslık h4 için 250 https://www.tradingview.com/x/eY17leXO/
saatlik için 500 gibi oluyor.. https://www.tradingview.com/x/TKscqW18/

böylece doğruya en yakın kanal hesaplaması yapılmış gibi oluyor....

eğer geçerliliğine bakacak olursak...
vob https://www.tradingview.com/x/vpOJgJ58/
usd https://www.tradingview.com/x/FTVFFoI7/
ons https://www.tradingview.com/x/os6dHLDp/
djı https://www.tradingview.com/x/DNHLL6nJ/
petrol https://www.tradingview.com/x/0Ae7BS3v/
forex https://www.tradingview.com/x/o4hxrudY/
kripto https://www.tradingview.com/x/T0BrcD3h/
ereg https://www.tradingview.com/x/wwSTqaWG/

bu hesaplamayla dip çalışmaları incelendiğinde....https://www.tradingview.com/x/qZQI3rfy/

Alıntı:

Originally Posted by @yörük@

kanal çizelim...
ama fiyatın hareketine göre değil...
aksine.... yüzdeleyelim....

saatliği açtık....önce....https://www.tradingview.com/x/Ro9oKP2n/ 100 değeriyle ortayı çizdik....
sonra....
yüksek ve düşük için......https://www.tradingview.com/x/H07BSP9J/

ya bu değer 250 olsaydı....https://www.tradingview.com/x/vxNWaWLI/
yine yüksek düşük.....https://www.tradingview.com/x/7zldfjzX/

ya 500 olsaydı....https://www.tradingview.com/x/cf9EUwh0/
yine yüksek düşük...https://www.tradingview.com/x/q9ZcMyxh/

sade ortaları görülse....https://www.tradingview.com/x/gvyLArnN/
bunlar geçilmesi zor olan dirençler......

hedef ve destekler ise düşük ve yüksek hesaplamaları....

endeksin niye 9000 altına düşmediği anlaşılıyor ki....
destekler burada toplanmış ama dirençler dağınık.....

h4 periyotta bakınca.....https://www.tradingview.com/x/wtiOdcQk/
500 düşüğüne temas hiç yok......

günlükte bakılınca....https://www.tradingview.com/x/QLjVQ1iz/
100 birim hesaplama dahilinde ki.... 100 birim hesaplama düşüğünü ekim-kasım 2024 de test etmiş sadece....

bakıldığında görülür ki.....250 birim hesaplamanın ortası ile 100 birimin düşüğü birbirine temas halinde ki....
8500 çok kuvvetli destek.....

sonuç hesaplama kullanırken periyot ilişkilendirmesi...
günlük için 100 https://www.tradingview.com/x/NHmnRhCP/
seanslık h4 için 250 https://www.tradingview.com/x/eY17leXO/
saatlik için 500 gibi oluyor.. https://www.tradingview.com/x/TKscqW18/

böylece doğruya en yakın kanal hesaplaması yapılmış gibi oluyor....

eğer geçerliliğine bakacak olursak...
vob https://www.tradingview.com/x/vpOJgJ58/
usd https://www.tradingview.com/x/FTVFFoI7/
ons https://www.tradingview.com/x/os6dHLDp/
djı https://www.tradingview.com/x/DNHLL6nJ/
petrol https://www.tradingview.com/x/0Ae7BS3v/
forex https://www.tradingview.com/x/o4hxrudY/
kripto https://www.tradingview.com/x/T0BrcD3h/
ereg https://www.tradingview.com/x/wwSTqaWG/

bu hesaplamayla dip çalışmaları incelendiğinde....https://www.tradingview.com/x/qZQI3rfy/

denemek isteyenlere yinelenmiş kodu....

PHP Code:

//@version=6 indicator(title = '...', shorttitle = '.', overlay = true, max_lines_count = 100, max_labels_count=100) ye99 = input.int(100, 'P1', minval = 1) ye98 = input.string('Percentage') hpFilter(sye97, ye99) => var float ye96 = na ye96 := na(ye96[1]) ? sye97 : (sye97 + (ye99 - 1) * nz(ye96[1])) / ye99 ye96 // ye95 = hpFilter(close, ye99) ye92 = (close - ye95) / ye95 * 100 ye87 = close - ye95 var ye94 = array.new_float() var ye93 = array.new_float() if ye98 == 'Percentage' if ye92 > 0 array.push(ye94, ye92) else if ye92 < 0 array.push(ye93, ye92) // ye91 = array.size(ye94) > 0 ? array.avg(ye94) : na ye90 = array.size(ye93) > 0 ? array.avg(ye93) : na ye89 = ye91 / 100 * ye95 + ye95 ye88 = ye90 / 100 * ye95 + ye95 plot(ye95, title = '100-M ', color = color.rgb(3, 36, 247), linewidth = 2, force_overlay = true) plot(ye89, title = '100-H ', color = color.rgb(3, 36, 247), force_overlay = true, style = plot.style_line) plot(ye88, title = '100-L ', color = color.rgb(3, 36, 247), force_overlay = true, style = plot.style_line) ye993 = input.int(250, 'P1', minval = 1) ye983 = input.string('Percentage') hpFilter3(sye973, ye993) => var float ye963 = na ye963 := na(ye963[1]) ? sye973 : (sye973 + (ye993 - 1) * nz(ye963[1])) / ye993 ye963 // ye953 = hpFilter3(close, ye993) ye923 = (close - ye953) / ye953 * 100 ye873 = close - ye953 var ye943 = array.new_float() var ye933 = array.new_float() if ye983 == 'Percentage' if ye923 > 0 array.push(ye943, ye923) else if ye923 < 0 array.push(ye933, ye923) // ye913 = array.size(ye943) > 0 ? array.avg(ye943) : na ye903 = array.size(ye933) > 0 ? array.avg(ye933) : na ye893 = ye913 / 100 * ye953 + ye953 ye883 = ye903 / 100 * ye953 + ye953 plot(ye953, title = '250-M ', color = color.rgb(11, 247, 3), linewidth = 2, force_overlay = true) plot(ye893, title = '250-H ', color = color.rgb(11, 247, 3), force_overlay = true, style = plot.style_line) plot(ye883, title = '250-L ', color = color.rgb(11, 247, 3), force_overlay = true, style = plot.style_line) ye9936 = input.int(500, 'P1', minval = 1) ye9836 = input.string('Percentage') hpFilter36(sye9736, ye9936) => var float ye9636 = na ye9636 := na(ye9636[1]) ? sye9736 : (sye9736 + (ye9936 - 1) * nz(ye9636[1])) / ye9936 ye9636 // ye9536 = hpFilter36(close, ye9936) ye9236 = (close - ye9536) / ye9536 * 100 ye8736 = close - ye9536 var ye9436 = array.new_float() var ye9336 = array.new_float() if ye9836 == 'Percentage' if ye9236 > 0 array.push(ye9436, ye9236) else if ye9236 < 0 array.push(ye9336, ye9236) // ye9136 = array.size(ye9436) > 0 ? array.avg(ye9436) : na ye9036 = array.size(ye9336) > 0 ? array.avg(ye9336) : na ye8936 = ye9136 / 100 * ye9536 + ye9536 ye8836 = ye9036 / 100 * ye9536 + ye9536 plot(ye9536, title = '500-M ', color = color.rgb(247, 3, 3), linewidth = 2, force_overlay = true) plot(ye8936, title = '500-H ', color = color.rgb(247, 3, 3), force_overlay = true, style = plot.style_line) plot(ye8836, title = '500-L ', color = color.rgb(247, 3, 3), force_overlay = true, style = plot.style_line)

kanal hesaplaması içinde...trend barındırır....
ancak günlük periyotta bakıldığında....görülen rakamlar afaki kalır....

çünkü fiyatın hareketi....hangi kanal içinde ne kadar kalacak...
veya ne zaman kanal geçişleri olacak....

sorusuna cevap arayacak olursak.....

yapmamız gereken.... diğer periyotlarla ilişkilendirmektir.....

çünkü sadece günlüğe bakıldığında.....
günlük periyotta kullanılacak herhangi bir hesaplama......anlamsız olur.....

çözüm olarak ne kullanılabilir.....

kullanacağımız hesaplama....fiyatı göstermeli....
yani mom, rsi, macd gibiler.... fiyata ilişkilenmeli...
her türlü dinamik ortalamalar....fiyata ilişkilenmeli....

strateji veya kombin hesaplamalar da fiyata ilişkilenmeli....

böylece....hesaplanan şey için....
hangi periyotta sat veya al ürettiği görülmelidir....

bakınız....https://www.tradingview.com/x/kfz4dQrt/

ben hızlandırılmış psar kullanmayı tercih ettim...
böylece...gün 4h ve 1h satta olduğunu görürken diğerlerinin alda olduğunu görmüş oldum....
2h ciddi destek olduğunu anlamış olsum diyelim....

denemek isteyene kod....

PHP Code:

//@version=6 indicator(title = '...', shorttitle = '.', overlay = true, max_lines_count = 100, max_labels_count=100) ye99 = input.int(100, 'P1', minval = 1) ye98 = input.string('Percentage') hpFilter(sye97, ye99) => var float ye96 = na ye96 := na(ye96[1]) ? sye97 : (sye97 + (ye99 - 1) * nz(ye96[1])) / ye99 ye96 // ye95 = hpFilter(close, ye99) ye92 = (close - ye95) / ye95 * 100 ye87 = close - ye95 var ye94 = array.new_float() var ye93 = array.new_float() if ye98 == 'Percentage' if ye92 > 0 array.push(ye94, ye92) else if ye92 < 0 array.push(ye93, ye92) // ye91 = array.size(ye94) > 0 ? array.avg(ye94) : na ye90 = array.size(ye93) > 0 ? array.avg(ye93) : na ye89 = ye91 / 100 * ye95 + ye95 ye88 = ye90 / 100 * ye95 + ye95 plot(ye95, title = '100-M ', color = color.rgb(3, 36, 247), linewidth = 2, force_overlay = true) plot(ye89, title = '100-H ', color = color.rgb(3, 36, 247), force_overlay = true, style = plot.style_line) plot(ye88, title = '100-L ', color = color.rgb(3, 36, 247), force_overlay = true, style = plot.style_line) ye993 = input.int(250, 'P1', minval = 1) ye983 = input.string('Percentage') hpFilter3(sye973, ye993) => var float ye963 = na ye963 := na(ye963[1]) ? sye973 : (sye973 + (ye993 - 1) * nz(ye963[1])) / ye993 ye963 // ye953 = hpFilter3(close, ye993) ye923 = (close - ye953) / ye953 * 100 ye873 = close - ye953 var ye943 = array.new_float() var ye933 = array.new_float() if ye983 == 'Percentage' if ye923 > 0 array.push(ye943, ye923) else if ye923 < 0 array.push(ye933, ye923) // ye913 = array.size(ye943) > 0 ? array.avg(ye943) : na ye903 = array.size(ye933) > 0 ? array.avg(ye933) : na ye893 = ye913 / 100 * ye953 + ye953 ye883 = ye903 / 100 * ye953 + ye953 plot(ye953, title = '250-M ', color = color.rgb(11, 247, 3), linewidth = 2, force_overlay = true) plot(ye893, title = '250-H ', color = color.rgb(11, 247, 3), force_overlay = true, style = plot.style_line) plot(ye883, title = '250-L ', color = color.rgb(11, 247, 3), force_overlay = true, style = plot.style_line) ye9936 = input.int(500, 'P1', minval = 1) ye9836 = input.string('Percentage') hpFilter36(sye9736, ye9936) => var float ye9636 = na ye9636 := na(ye9636[1]) ? sye9736 : (sye9736 + (ye9936 - 1) * nz(ye9636[1])) / ye9936 ye9636 // ye9536 = hpFilter36(close, ye9936) ye9236 = (close - ye9536) / ye9536 * 100 ye8736 = close - ye9536 var ye9436 = array.new_float() var ye9336 = array.new_float() if ye9836 == 'Percentage' if ye9236 > 0 array.push(ye9436, ye9236) else if ye9236 < 0 array.push(ye9336, ye9236) // ye9136 = array.size(ye9436) > 0 ? array.avg(ye9436) : na ye9036 = array.size(ye9336) > 0 ? array.avg(ye9336) : na ye8936 = ye9136 / 100 * ye9536 + ye9536 ye8836 = ye9036 / 100 * ye9536 + ye9536 plot(ye9536, title = '500-M ', color = color.rgb(247, 3, 3), linewidth = 2, force_overlay = true) plot(ye8936, title = '500-H ', color = color.rgb(247, 3, 3), force_overlay = true, style = plot.style_line) plot(ye8836, title = '500-L ', color = color.rgb(247, 3, 3), force_overlay = true, style = plot.style_line) //////////////////////////////////////////////////////////////////MTF SAR HESAPLAMASIDIR/////////////// start46 = input(0.) increment46 = input(0.1) maximum46 = input(0.9, "Max Value") out55 = ta.sar(start46, increment46, maximum46) plot_color = close > out55 ? color.rgb(5, 182, 64) : close < out55 ? color.rgb(169, 7, 7) : na show_header = input(false, title="Show header?", group='Table Settings') dashboard_position = input.string("Top center", title="Position", options=["Top right", "Top center", "Middle right"], group='Table Settings') text_size = input.string('Normal', title="Size", options=["Tiny", "Small", "Normal", "Large"], group='Table Settings') text_color = input.color(color.rgb(11, 68, 224), title="Text color", group='Table Settings') table_color = input.color(color.purple, title="Border color", group='Table Settings') uptrend_indicator = "🔵" downtrend_indicator = "🟠" tf11 = input.timeframe("1", title="Timeframe 1") tf22 = input.timeframe("3", title="Timeframe 2") tf33 = input.timeframe("5", title="Timeframe 3") tf4 = input.timeframe("10", title="Timeframe 4") tf5 = input.timeframe("15", title="Timeframe 5") tf6 = input.timeframe("30", title="Timeframe 6") tf7 = input.timeframe("60", title="Timeframe 7") tf8 = input.timeframe("120", title="Timeframe 8") tf9 = input.timeframe("240", title="Timeframe 9") tf10 = input.timeframe("D", title="Timeframe 10") var table_position = dashboard_position == 'Top center' ? position.middle_left : dashboard_position == 'Top center' ? position.middle_left : dashboard_position == 'Middle right' ? position.middle_right : position.middle_right var table_text_size = text_size == 'Normal' ? size.normal : text_size == 'Small' ? size.small : size.normal var t = table.new(position=table_position, columns=3, rows=20, frame_color=#cdcbcb, frame_width=5, border_color=table_color, border_width=1,bgcolor =color.rgb(21, 21, 21) ) get_trend_status(trend_value) => is_uptrend = close > trend_value candle_now = is_uptrend ? uptrend_indicator : downtrend_indicator candle_now //-------------------------------------------------------------------------------------- sar_1 = request.security(syminfo.tickerid, tf11, ta.sar(start46, increment46, maximum46)) sar_2 = request.security(syminfo.tickerid, tf22, ta.sar(start46, increment46, maximum46)) sar_3 = request.security(syminfo.tickerid, tf33, ta.sar(start46, increment46, maximum46)) sar_4 = request.security(syminfo.tickerid, tf4, ta.sar(start46, increment46, maximum46)) sar_5 = request.security(syminfo.tickerid, tf5, ta.sar(start46, increment46, maximum46)) sar_6 = request.security(syminfo.tickerid, tf6, ta.sar(start46, increment46, maximum46)) sar_7 = request.security(syminfo.tickerid, tf7, ta.sar(start46, increment46, maximum46)) sar_8 = request.security(syminfo.tickerid, tf8, ta.sar(start46, increment46, maximum46)) sar_9 = request.security(syminfo.tickerid, tf9, ta.sar(start46, increment46, maximum46)) sar_10 = request.security(syminfo.tickerid, tf10, ta.sar(start46, increment46, maximum46)) trend_indicator_1 = get_trend_status(sar_1) trend_indicator_2 = get_trend_status(sar_2) trend_indicator_3 = get_trend_status(sar_3) trend_indicator_4 = get_trend_status(sar_4) trend_indicator_5 = get_trend_status(sar_5) trend_indicator_6 = get_trend_status(sar_6) trend_indicator_7 = get_trend_status(sar_7) trend_indicator_8 = get_trend_status(sar_8) trend_indicator_9 = get_trend_status(sar_9) trend_indicator_10 = get_trend_status(sar_10) if tf11 == "60" tf11 := "1H" if tf11 == "120" tf11 := "2H" if tf11 == "180" tf11 := "3H" if tf11 == "240" tf11 := "4H" if tf22 == "60" tf22 := "1H" if tf22 == "120" tf22 := "2H" if tf22 == "180" tf22 := "3H" if tf22 == "240" tf22 := "4H" if tf33 == "60" tf33 := "1H" if tf33 == "120" tf33 := "2H" if tf33 == "180" tf33 := "3H" if tf33 == "240" tf33 := "4H" if tf4 == "60" tf4 := "1H" if tf4 == "120" tf4 := "2H" if tf4 == "180" tf4 := "3H" if tf4 == "240" tf4 := "4H" if tf5 == "60" tf5 := "1H" if tf5 == "120" tf5 := "2H" if tf5 == "180" tf5 := "3H" if tf5 == "240" tf5 := "4H" if tf6 == "60" tf6 := "1H" if tf6 == "120" tf6 := "2H" if tf6 == "180" tf6 := "3H" if tf6 == "240" tf6 := "4H" if tf7 == "60" tf7 := "1H" if tf7 == "120" tf7 := "2H" if tf7 == "180" tf7 := "3H" if tf7 == "240" tf7 := "4H" if tf8 == "60" tf8 := "1H" if tf8 == "120" tf8 := "2H" if tf8 == "180" tf8 := "3H" if tf8 == "240" tf8 := "4H" if tf9 == "60" tf9 := "1H" if tf9 == "120" tf9 := "2H" if tf9 == "180" tf9 := "3H" if tf9 == "240" tf9 := "4H" if tf10 == "60" tf10 := "1H" if tf10 == "120" tf10 := "2H" if tf10 == "180" tf10 := "3H" if tf10 == "240" tf10 := "4H" //--------------------------------------------------------------------------------------------- // Update table with trend data //--------------------------------------------------------------------------------------------- if (barstate.islast) table.cell(t, 0, 1, tf11, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 1, text="●", text_color=trend_indicator_1==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 1, str.tostring(sar_1, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 2, tf22, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 2, text="●", text_color=trend_indicator_2==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 2, str.tostring(sar_2, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 3, tf33, text_color=color.white, text_size=table_text_size,bgcolor= color.rgb(21, 21, 21)) table.cell(t, 1, 3, text="●", text_color=trend_indicator_3==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 3, str.tostring(sar_3, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 4, tf4, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 4, text="●", text_color=trend_indicator_4==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 4, str.tostring(sar_4, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 5, tf5, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 5, text="●", text_color=trend_indicator_5==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 5, str.tostring(sar_5, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 6, tf6, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 6, text="●", text_color=trend_indicator_6==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 6, str.tostring(sar_6, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 7, tf7, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 7, text="●", text_color=trend_indicator_7==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 7, str.tostring(sar_7, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 8, tf8, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 8, text="●", text_color=trend_indicator_8==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 8, str.tostring(sar_8, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 9, tf9, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 9, text="●", text_color=trend_indicator_9==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 9, str.tostring(sar_9, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 10, tf10, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 10, text="●", text_color=trend_indicator_10==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 10, str.tostring(sar_10, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t,0,0,"Periyot",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) table.cell(t,1,0,"Trend",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) table.cell(t,2,0,"Fiyat",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) lookback = input.int(5, "Line Lookback Period", minval=1)

yedek....incelenip....tasarlanacak.....

PHP Code:

//@version=5 // Copyright (c) 2019-present, Franklin Moormann (cheatcountry) // Reverse Moving Average Convergence Divergence [CC] script may be freely distributed under the MIT license. indicator('*', max_bars_back=500, overlay=true) ////////////////////Ana Kalıp///////////////////////// inp = input(title='Source', defval=close) res = input.timeframe(title='Resolution', defval='') rep = input(title='Allow Repainting?', defval=false) ////////////////////////////////////////////////////// src1 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] fastLength1 = input.int(title='FastLength', defval=12, minval=1) slowLength1 = input.int(title='SlowLength', defval=26, minval=1) signalLength1 = input.int(title='SignalLength', defval=9, minval=1) macdLevel1 = input.float(title='MacdLevel', defval=0, minval=0) fastAlpha1 = 2.0 / (1 + fastLength1) slowAlpha1 = 2.0 / (1 + slowLength1) fastEma1 = ta.ema(src1, fastLength1) slowEma1 = ta.ema(src1, slowLength1) pMacdEq1 = fastAlpha1 - slowAlpha1 != 0 ? ((nz(fastEma1[1]) * fastAlpha1) - (nz(slowEma1[1]) * slowAlpha1)) / (fastAlpha1 - slowAlpha1) : 0 pMacdEqSig1 = ta.ema(pMacdEq1, signalLength1) pMacdLevel1 = fastAlpha1 - slowAlpha1 != 0 ? (macdLevel1 - (nz(fastEma1[1]) * (1 - fastAlpha1)) + (nz(slowEma1[1]) * (1 - slowAlpha1))) / (fastAlpha1 - slowAlpha1) : 0 slo1 = src1 - pMacdEq1 sig1 = slo1 > 0 ? slo1 > nz(slo1[1]) ? 2 : 1 : slo1 < 0 ? slo1 < nz(slo1[1]) ? -2 : -1 : 0 rmacdColor = sig1 > 1 ? color.green : sig1 > 0 ? color.lime : sig1 < -1 ? color.maroon : sig1 < 0 ? color.red : color.white plot(pMacdEq1, title='MACD',style=plot.style_cross, color=rmacdColor, linewidth=2) plot(pMacdEqSig1, title='MacdEqSignal', color=color.rgb(255, 255, 255, 100), linewidth=1) //plot(pMacdLevel1, title='MacdLevel', color=color.blue, linewidth=2) memo1=(pMacdEq1+pMacdEqSig1+pMacdLevel1)/3 plot(memo1, title='Avarage', color=color.rgb(241, 225, 8, 100), linewidth=2) //////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////// src3 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length3 = input.int(title='Length', defval=12, minval=1) rmsLength3 = input.int(title='RMSLength', defval=50, minval=1) mom3 = src3 - nz(src3[length3]) hannLength3 = math.ceil(length3 / 1.4) filt3 = 0.0 coef3 = 0.0 for i = 1 to hannLength3 by 1 cos3 = 1 - math.cos(2 * math.pi * i / (hannLength3 + 1)) filt3 += cos3 * nz(mom3[i - 1]) coef3 += cos3 coef3 hFilt3 = coef3 != 0 ? filt3 / coef3 : 0 filtMa3 = math.sum(math.pow(hFilt3, 2), rmsLength3) / rmsLength3 rms3 = filtMa3 > 0 ? math.sqrt(filtMa3) : 0 scaledFilt3 = rms3 != 0 ? hFilt3 / rms3 : 0 a13 = math.exp(-1.414 * math.pi * math.abs(scaledFilt3) / length3) b13 = 2 * a13 * math.cos(1.414 * math.pi * math.abs(scaledFilt3) / length3) c23 = b13 c33 = -a13 * a13 c13 = 1 - c23 - c33 dsss3 = 0.0 dsss3 := c13 * ((src3 + nz(src3[1])) / 2) + c23 * nz(dsss3[1]) + c33 * nz(dsss3[2]) slo3 = src3 - dsss3 sig3 = slo3 > 0 ? slo3 > nz(slo3[1]) ? 2 : 1 : slo3 < 0 ? slo3 < nz(slo3[1]) ? -2 : -1 : 0 dsssColor = sig3 > 1 ? color.green : sig3 > 0 ? color.lime : sig3 < -1 ? color.maroon : sig3 < 0 ? color.red : color.black plot(dsss3, title='Filter', color=dsssColor, linewidth=2) /////////////////////////////////////////////////////////// src4 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length4 = input.int(title='Length', defval=27, minval=1) a14 = math.exp(-1.414 * math.pi / length4) b14 = 2 * a14 * math.cos(1.414 * math.pi / length4) c24 = b14 c34 = -a14 * a14 c14 = 1 - c24 - c34 ssf4 = 0.0 ssf4 := bar_index < 3 ? src4 : 0.5 * c14 * (src4 + nz(src4[1])) + c24 * nz(ssf4[1]) + c34 * nz(ssf4[2]) e14 = 0.0 e14 := bar_index < 3 ? 0 : c14 * (src4 - ssf4) + c24 * nz(e14[1]) + c34 * nz(e14[2]) aef4 = ssf4 + e14 slo4 = src4 - nz(aef4[1]) sig4 = slo4 > 0 ? slo4 > nz(slo4[1]) ? 2 : 1 : slo4 < 0 ? slo4 < nz(slo4[1]) ? -2 : -1 : 0 aefColor = sig4 > 1 ? color.green : sig4 > 0 ? color.lime : sig4 < -1 ? color.maroon : sig4 < 0 ? color.red : color.black //plot(aef4, title='Filter', color=aefColor, linewidth=2) ////////////////////////////////////////////////////////////// src5 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] acc5 = input.float(title='Accelerator', defval=1.0, minval=1.0, step=0.01) minLength5 = input.int(title='MinLength', defval=5, minval=1) maxLength5 = input.int(title='MaxLength', defval=50, minval=1) smoothLength5 = input.int(title='SmoothLength', defval=4, minval=1) mult5 = input.float(title='Multiple', defval=2.0, minval=.01) // We are checking current volatility to see how high it is and adjust accordingly. // If volatility is very high then we use the minLength and vice versa // Reason behind this is to hug price closely during high volatility but lag for low volatility mean5 = ta.sma(src5, maxLength5) stdDev5 = ta.stdev(src5, maxLength5) a5 = mean5 - 1.75 * stdDev5 b5 = mean5 - 0.25 * stdDev5 c5 = mean5 + 0.25 * stdDev5 d5 = mean5 + 1.75 * stdDev5 length5 = 0.0 length5 := src5 >= b5 and src5 <= c5 ? nz(length5[1], maxLength5) + 1 : src5 < a5 or src5 > d5 ? nz(length5[1], maxLength5) - 1 : nz(length5[1], maxLength5) length5 := math.max(math.min(length5, maxLength5), minLength5) len5 = math.round(length5) // We are providing a dynamic weight depending on the current momentum // When momentum is at an extreme for overbought/oversold then we give more weight to the current price mf5 = na(volume) or volume == 0 ? 100.0 - 100.0 / (1.0 + src5 / len5) : ta.mfi(src5, len5) mfScaled5 = mf5 * 2 - 100 p5 = acc5 + math.abs(mfScaled5) / 25 sum5 = 0.0 weightSum5 = 0.0 for i = 0 to len5 - 1 by 1 weight5 = math.pow(len5 - i, p5) sum5 += src5[i] * weight5 weightSum5 += weight5 weightSum5 uma5 = ta.wma(sum5 / weightSum5, smoothLength5) stdev55 = ta.stdev(src5, len5) upperBand5 = uma5 + stdev55 * mult5 lowerBand5 = uma5 - stdev55 * mult5 slo5 = src5 - uma5 sig5 = src5 > upperBand5 and nz(src5[1]) <= nz(upperBand5[1]) or src5 > lowerBand5 and nz(src5[1]) <= nz(lowerBand5[1]) ? 1 : src5 < lowerBand5 and nz(src5[1]) >= nz(lowerBand5[1]) or src5 < upperBand5 and nz(src5[1]) >= nz(upperBand5[1]) ? -1 : slo5 > 0 ? slo5 > nz(slo5[1]) ? 2 : 1 : slo5< 0 ? slo5 < nz(slo5[1]) ? -2 : -1 : 0 umaColor = sig5 > 1 ? color.green : sig5 > 0 ? color.lime : sig5 < -1 ? color.maroon : sig5 < 0 ? color.red : color.black //plot(upperBand5, title='UpperBand', linewidth=2, color=umaColor) //plot(uma5, title='MiddleBand', linewidth=1, color=color.new(color.white, 0)) //plot(lowerBand5, title='LowerBand', linewidth=2, color=umaColor) ///////////////////////////////////////////////////////////////////////////////////// src6 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] acc6 = input.float(title='Accelerator', defval=1.0, minval=1.0, step=0.01) minLength6 = input.int(title='MinLength', defval=5, minval=1) maxLength6 = input.int(title='MaxLength', defval=50, minval=1) smoothLength6 = input.int(title='SmoothLength', defval=4, minval=1) // We are checking current volatility to see how high it is and adjust accordingly. // If volatility is very high then we use the minLength and vice versa // Reason behind this is to hug price closely during high volatility but lag for low volatility mean6 = ta.sma(src6, maxLength6) stdDev6 = ta.stdev(src6, maxLength6) a6 = mean6 - 1.75 * stdDev6 b6 = mean6 - 0.25 * stdDev6 c6 = mean6 + 0.25 * stdDev6 d6 = mean6 + 1.75 * stdDev6 length6 = 0.0 length6 := src6 >= b6 and src6 <= c6 ? nz(length6[1], maxLength6) + 1 : src6 < a6 or src6 > d6 ? nz(length6[1], maxLength6) - 1 : nz(length6[1], maxLength6) length6 := math.max(math.min(length6, maxLength6), minLength6) len6 = math.round(length6) // We are providing a dynamic weight depending on the current momentum // When momentum is at an extreme for overbought/oversold then we give more weight to the current price mf6 = na(volume) or volume == 0 ? 100.0 - 100.0 / (1.0 + src6 / len6) : ta.mfi(src6, len6) mfScaled6 = mf6 * 2 - 100 p6 = acc6 + math.abs(mfScaled6) / 25 sum6 = 0.0 weightSum6 = 0.0 for i = 0 to len6 - 1 by 1 weight6 = math.pow(len6 - i, p6) sum6 += src6[i] * weight6 weightSum6 += weight6 weightSum6 uma6 = ta.wma(sum6 / weightSum6, smoothLength6) slo6 = src6 - uma6 sig6 = slo6 > 0 ? slo6 > nz(slo6[1]) ? 2 : 1 : slo6 < 0 ? slo6 < nz(slo6[1]) ? -2 : -1 : 0 umaColor6 = sig6 > 1 ? color.green : sig6 > 0 ? color.lime : sig6 < -1 ? color.maroon : sig6 < 0 ? color.red : color.black //plot(uma6, title='UMA', linewidth=2, color=umaColor6) ////////////////////////////////////////////////////////// src7 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length7 = input.int(title='Length', defval=15, minval=1) ma7 = ta.sma(src7, length7) a7 = ta.linreg(src7, length7, 0) m7 = a7 - nz(a7[1]) + ma7 ie27 = (m7 + a7) / 2 slo7 = src7 - ie27 sig7 = slo7 > 0 ? slo7 > nz(slo7[1]) ? 2 : 1 : slo7 < 0 ? slo7 < nz(slo7[1]) ? -2 : -1 : 0 ie2Color = sig7 > 1 ? color.green : sig7 > 0 ? color.lime : sig7 < -1 ? color.maroon : sig7 < 0 ? color.red : color.white //plot(ie27, title='IE2', color=ie2Color, linewidth=2) //////////////////////////////////////////////////////// src8 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length8 = input(title='Length', defval=14) sum8 = 0.0 weightSum8 = 0.0 for i = 0 to length8 - 1 by 1 weight8 = math.pow(length8 - i, 3) sum8 += src8[i] * weight8 weightSum8 += weight8 weightSum8 cwma8 = sum8 / weightSum8 sig8 = src8 > cwma8 ? 1 : src8 < cwma8 ? -1 : 0 cwmaColor = sig8 > 0 ? color.green : sig8 < 0 ? color.red : color.black //plot(cwma8, title='CWMA', linewidth=2, color=cwmaColor) //////////////////////////////////////////////////////////// src9 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length9 = input.int(title='Length', defval=15, minval=1) pi9 = 2 * math.asin(1) a9 = math.exp(-1.414 * pi9 / length9) b9 = 2 * a9 * math.cos(1.414 * pi9 / length9) c29 = b9 c39 = -a9 * a9 c19 = (1 - b9 + math.pow(a9, 2)) / 4 bf9 = 0.0 bf9 := bar_index < 3 ? src9 : c19 * (src9 + 2 * nz(src9[1]) + nz(src9[2])) + c29 * nz(bf9[1]) + c39 * nz(bf9[2]) sig9 = src9 > bf9 ? 1 : src9 < bf9 ? -1 : 0 bfColor9 = sig9 > 0 ? color.green : sig9 < 0 ? color.red : color.black //plot(bf9, title='2PBF', color=bfColor9, linewidth=2) /////////////////////////////////////////////////////// src10 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length10 = input.int(title='Length', defval=10, minval=1) pi10 = 2 * math.asin(1) a10 = math.exp(-1.414 * pi10 / length10) b10 = 2 * a10 * math.cos(1.414 * 1.25 * pi10 / length10) c210 = b10 c310 = -a10 * a10 c110 = 1 - c210 - c310 bf10 = 0.0 bf10 := c110 * src10 + c210 * nz(bf10[1]) + c310 * nz(bf10[2]) sig10 = src10 > bf10 ? 1 : src10 < bf10 ? -1 : 0 bfColor10 = sig10 > 0 ? color.green : sig10 < 0 ? color.red : color.black //plot(bf10, title='2PBF', color=bfColor10, linewidth=2) /////////////////////////////////////////////////////// src11 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length11 = input.int(title='Length', defval=15, minval=1) pi11 = 2 * math.asin(1) a111 = math.exp(-1.414 * pi11 / length11) b111 = 2 * a111 * math.cos(1.414 * pi11 / length11) coef211 = b111 coef311 = -a111 * a111 coef111 = 1 - coef211 - coef311 ssf11 = 0.0 ssf11 := bar_index < 3 ? src11 : coef111 * src11 + coef211 * nz(ssf11[1]) + coef311 * nz(ssf11[2]) sig11 = src11 > ssf11 ? 1 : src11 < ssf11 ? -1 : 0 ssfColor = sig11 > 0 ? color.green : sig11 < 0 ? color.red : color.black //plot(ssf11, title='SSF', color=ssfColor, linewidth=2) ///////////////////////////////////////////////////// src12 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length12 = input.int(title='Length', defval=10, minval=1) pi12 = 2 * math.asin(1) a12 = math.exp(-1.414 * pi12 / length12) b12 = 2 * a12 * math.cos(1.414 * pi12 / length12) c212 = b12 c312 = -a12 * a12 c112 = 1 - c212 - c312 ssf12 = 0.0 ssf12 := c112 * ((src12 + nz(src12[1])) / 2) + c212 * nz(ssf12[1]) + c312 * nz(ssf12[2]) sig12 = src12 > ssf12 ? 1 : src12 < ssf12 ? -1 : 0 ssfColor12 = sig12 > 0 ? color.green : sig12 < 0 ? color.red : color.black //plot(ssf12, title='SSF', color=ssfColor12, linewidth=2) ///////////////////////////////////////////////////// src13 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length13 = input.int(title='Length', defval=10, minval=1) pi13 = 2 * math.asin(1) a130 = math.exp(-pi13 / length13) b130 = 2 * a130 * math.cos(1.738 * pi13 / length13) c130 = a130 * a130 d213 = b130 + c130 d313 = -(c130 + b130 * c130) d413 = c130 * c130 d113 = 1 - d213 - d313 - d413 bf13 = 0.0 bf13 := d113 * src13 + d213 * nz(bf13[1]) + d313 * nz(bf13[2]) + d413 * nz(bf13[3]) sig13 = src13 > bf13 ? 1 : src13 < bf13 ? -1 : 0 bfColor13 = sig13 > 0 ? color.green : sig13 < 0 ? color.red : color.black //plot(bf13, title='3PBF', color=bfColor13, linewidth=2) ////////////////////////////////////////////////////// src14 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length14 = input.int(title='Length', defval=15, minval=1) pi14 = 2 * math.asin(1) a114 = math.exp(-pi14 / length14) b114 = 2 * a114 * math.cos(1.738 * pi14 / length14) c114 = a114 * a114 coef214 = b114 + c114 coef314 = -(c114 + b114 * c114) coef414 = c114 * c114 coef114 = (1 - b114 + c114) * (1 - c114) / 8 bf14 = 0.0 bf14 := bar_index < 4 ? src14 : coef114 * (src14 + 3 * nz(src14[1]) + 3 * nz(src14[2]) + nz(src14[3])) + coef214 * nz(bf14[1]) + coef314 * nz(bf14[2]) + coef414 * nz(bf14[3]) sig14 = src14 > bf14 ? 1 : src14 < bf14 ? -1 : 0 bfColor14 = sig14 > 0 ? color.green : sig14 < 0 ? color.red : color.black //plot(bf14, title='3PBF', color=bfColor14, linewidth=2) /////////////////////////////////////// src15 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length15 = input.int(title='Length', defval=15, minval=1) pi15 = 2 * math.asin(1) a115 = math.exp(-pi15 / length15) b115 = 2 * a115 * math.cos(1.738 * pi15 / length15) c115 = a115 * a115 coef215 = b115 + c115 coef315 = -(c115 + b115 * c115) coef415 = c115 * c115 coef115 = 1 - coef215 - coef315 - coef415 ssf15 = 0.0 ssf15 := bar_index < 4 ? src15 : coef115 * src15 + coef215 * nz(ssf15[1]) + coef315 * nz(ssf15[2]) + coef415 * nz(ssf15[3]) sig15 = src15 > ssf15 ? 1 : src15 < ssf15 ? -1 : 0 ssfColor15 = sig15 > 0 ? color.green : sig15 < 0 ? color.red : color.black //plot(ssf15, title='SSF', color=ssfColor15, linewidth=2) //////////////////////////////////////////// src16 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length16 = input.int(title='Length', defval=20, minval=1) pi16 = 2 * math.asin(1) twoPiPrd16 = 2 * pi16 / length16 alpha16 = (math.cos(twoPiPrd16) + math.sin(twoPiPrd16) - 1) / math.cos(twoPiPrd16) dec16 = 0.0 dec16 := alpha16 / 2 * (src16 + nz(src16[1])) + (1 - alpha16) * nz(dec16[1]) sig16 = src16 > dec16 ? 1 : src16 < dec16 ? -1 : 0 decColor16 = sig16 > 0 ? color.green : sig16 < 0 ? color.red : color.black //plot(dec16, title='DEC', color=decColor16, linewidth=2) //////////////////////////////// length17 = input.int(title='Length', defval=15, minval=1) src17 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] num17 = 0.0 coefSum17 = 0.0 for i = 0 to length17 - 1 by 1 distance17 = 0.0 for lb17 = 1 to length17 - 1 by 1 distance17 += math.pow(nz(src17[i]) - nz(src17[i + lb17]), 2) distance17 num17 += distance17 * nz(src17[i]) coefSum17 += distance17 coefSum17 filt17 = coefSum17 != 0 ? num17 / coefSum17 : 0 sig17 = src17 > filt17 ? 1 : src17 < filt17 ? -1 : 0 filtColor17 = sig17 > 0 ? color.green : sig17 < 0 ? color.red : color.black //plot(filt17, title='Filter', color=filtColor17, linewidth=2) /////////////////////////////// src18 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length18 = input.int(title="Length", defval=14, minval=1) pedestal18 = input.float(title="Pedestal", defval=3, minval=0.01) filt18 = 0.0, coef18 = 0.0 for i = 0 to length18 - 1 sine18 = math.sin(pedestal18 + (((math.pi - (2 * pedestal18)) * i) / (length18 - 1))) filt18 := filt18 + (sine18 * nz(src18[i])) coef18 := coef18 + sine18 filt18 := coef18 != 0 ? filt18 / coef18 : 0 slo18 = src18 - filt18 sig18 = slo18 > 0 ? slo18 > nz(slo18[1]) ? 2 : 1 : slo18 < 0 ? slo18 < nz(slo18[1]) ? -2 : -1 : 0 hmaColor18 = sig18 > 1 ? color.green : sig18 > 0 ? color.lime : sig18 < -1 ? color.maroon : sig18 < 0 ? color.red : color.white //plot(filt18, title='Hma', color=hmaColor18, linewidth=2) ////////////////////////////// src19 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length19 = input.int(title="Length", defval=14, minval=1) filt19 = 0.0, coef19 = 0.0 for i = 1 to length19 by 1 cosine19 = 1 - math.cos(2 * math.pi * i / (length19 + 1)) filt19 += cosine19 * nz(src19[i - 1]) coef19 += cosine19 filt19 := coef19 != 0 ? filt19 / coef19 : 0 slo19 = src19 - filt19 sig19 = slo19 > 0 ? slo19 > nz(slo19[1]) ? 2 : 1 : slo19 < 0 ? slo19 < nz(slo19[1]) ? -2 : -1 : 0 hmaColor19 = sig19 > 1 ? color.green : sig19 > 0 ? color.lime : sig19 < -1 ? color.maroon : sig19 < 0 ? color.red : color.white //plot(filt19, title='Hma', color=hmaColor19, linewidth=2) ///////////////////////////////////// src20 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] pi20 = 2 * math.asin(1) period20 = 0.0 smooth20 = (4 * src20 + 3 * nz(src20[1]) + 2 * nz(src20[2]) + nz(src20[3])) / 10 detrender20 = (0.0962 * smooth20 + 0.5769 * nz(smooth20[2]) - 0.5769 * nz(smooth20[4]) - 0.0962 * nz(smooth20[6])) * (0.075 * nz(period20[1]) + 0.54) q120 = (0.0962 * detrender20 + 0.5769 * nz(detrender20[2]) - 0.5769 * nz(detrender20[4]) - 0.0962 * nz(detrender20[6])) * (0.075 * nz(period20[1]) + 0.54) i120 = nz(detrender20[3]) jI20 = (0.0962 * i120 + 0.5769 * nz(i120[2]) - 0.5769 * nz(i120[4]) - 0.0962 * nz(i120[6])) * (0.075 * nz(period20[1]) + 0.54) jQ20 = (0.0962 * q120 + 0.5769 * nz(q120[2]) - 0.5769 * nz(q120[4]) - 0.0962 * nz(q120[6])) * (0.075 * nz(period20[1]) + 0.54) i220 = i120 - jQ20 i220 := 0.2 * i220 + 0.8 * nz(i220[1]) q220 = q120 + jI20 q220 := 0.2 * q220 + 0.8 * nz(q220[1]) re20 = i220 * nz(i220[1]) + q220 * nz(q220[1]) re20 := 0.2 * re20 + 0.8 * nz(re20[1]) im20= i220 * nz(q220[1]) - q220 * nz(i220[1]) im20 := 0.2 * im20 + 0.8 * nz(im20[1]) period20 := im20 != 0 and re20 != 0 ? 2 * pi20 / math.atan(im20 / re20) : 0 period20 := math.min(math.max(period20, 0.67 * nz(period20[1])), 1.5 * nz(period20[1])) period20 := math.min(math.max(period20, 6), 50) period20 := 0.2 * period20 + 0.8 * nz(period20[1]) smoothPeriod20 = 0.0 smoothPeriod20 := 0.33 * period20 + 0.67 * nz(smoothPeriod20[1]) dcPeriod20 = math.ceil(smoothPeriod20 + 0.5) iTrend20 = 0.0 for i = 0 to dcPeriod20 - 1 by 1 iTrend20 += nz(src20[i]) iTrend20 iTrend20 := dcPeriod20 > 0 ? iTrend20 / dcPeriod20 : iTrend20 trendline20 = (4 * iTrend20 + 3 * nz(iTrend20[1]) + 2 * nz(iTrend20[2]) + nz(iTrend20[3])) / 10 sig20 = smooth20 > trendline20 ? 1 : smooth20 < trendline20 ? -1 : 0 tlColor20 = sig20 > 0 ? color.green : sig20 < 0 ? color.red : color.black //plot(trendline20, title='Trendline', color=tlColor20, linewidth=2) /////////////////////////////////// src21 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] alpha21 = input.float(title='Alpha', defval=0.07, minval=0.01, step=0.01) itrend21 = 0.0 itrend21 := bar_index < 7 ? (src21 + 2 * nz(src21[1]) + nz(src21[2])) / 4 : (alpha21 - math.pow(alpha21, 2) / 4) * src21 + 0.5 * math.pow(alpha21, 2) * nz(src21[1]) - (alpha21 - 0.75 * math.pow(alpha21, 2)) * nz(src21[2]) + 2 * (1 - alpha21) * nz(itrend21[1]) - math.pow(1 - alpha21, 2) * nz(itrend21[2]) trigger21 = 2 * itrend21 - nz(itrend21[2]) sig21 = trigger21 > itrend21 ? 1 : trigger21 < itrend21 ? -1 : 0 itColor21 = sig21 > 0 ? color.green : sig21 < 0 ? color.red : color.black //plot(trigger21, title='Trigger', color=itColor21, linewidth=2) //plot(itrend21, title='ITrend', color=color.new(color.black, 0), linewidth=1) ////////////////////// src22 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length22 = input.int(title='Length', defval=20, minval=1) deltaSum22 = 0.0 for int i = 0 to length22 - 1 by 1 deltaSum22 += math.abs(nz(src22[i]) - nz(src22[i + 1])) ef22 = deltaSum22 != 0 ? math.min(math.abs(src22 - nz(src22[length22 - 1])) / deltaSum22, 1) : 0 s22 = math.pow((0.6667 * ef22) + 0.0645, 2) kama22 = 0.0 kama22 := (s22 * src22) + ((1 - s22) * nz(kama22[1])) slo22 = src22 - kama22 sig22 = slo22 > 0 ? slo22 > nz(slo22[1]) ? 2 : 1 : slo22 < 0 ? slo22 < nz(slo22[1]) ? -2 : -1 : 0 kamaColor22 = sig22 > 1 ? color.green : sig22 > 0 ? color.lime : sig22 < -1 ? color.maroon : sig22 < 0 ? color.red : color.black //plot(kama22, title='Filter', color=kamaColor22, linewidth=2) //////////////////////// src23 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] gamma23 = input.float(title='Gamma', defval=0.8, minval=0.01, step=0.01) l023 = 0.0 l023 := (1 - gamma23) * src23 + gamma23 * nz(l023[1]) l123 = 0.0 l123 := -gamma23 * l023 + nz(l023[1]) + gamma23 * nz(l123[1]) l223 = 0.0 l223 := -gamma23 * l123 + nz(l123[1]) + gamma23 * nz(l223[1]) l323 = 0.0 l323 := -gamma23 * l223 + nz(l223[1]) + gamma23 * nz(l323[1]) filt23 = (l023 + 2 * l123 + 2 * l223 + l323) / 6 fir23 = (src23 + 2 * nz(src23[1]) + 2 * nz(src23[2]) + nz(src23[3])) / 6 sig23 = fir23 > filt23 ? 1 : fir23 < filt23 ? -1 : 0 lfColor23 = sig23 > 0 ? color.green : sig23 < 0 ? color.red : color.black //plot(filt23, title='FILT', color=lfColor23, linewidth=2) //plot(fir23, title='FIR', color=color.new(color.black, 0), linewidth=1) ///////////////////////////////// src24 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] threshold24 = input.float(title='Threshold', defval=0.002, minval=0.0001, step=0.001) length24 = input.int(title='Length', defval=39, minval=1) smth24 = (src24 + (2 * nz(src24[1])) + (2 * nz(src24[2])) + nz(src24[3])) / 6 len24 = length24 v324 = 0.2, v224 = 0.0, alpha24 = 0.0 while (v324 > threshold24 and len24 > 0) alpha24 := 2.0 / (len24 + 1) v124 = ta.median(smth24, len24) v224 := (alpha24 * smth24) + ((1 - alpha24) * nz(v224[1])) v324 := v124 != 0 ? math.abs(v124 - v224) / v124 : v324 len24 -= 2 len24 := len24 < 3 ? 3 : len24 alpha24 := 2.0 / (len24 + 1) filter24 = 0.0 filter24 := (alpha24 * smth24) + ((1 - alpha24) * nz(filter24[1])) slo24 = src24 - filter24 sig24 = slo24 > 0 ? slo24 > nz(slo24[1]) ? 2 : 1 : slo24 < 0 ? slo24 < nz(slo24[1]) ? -2 : -1 : 0 maafColor24 = sig24 > 1 ? color.green : sig24 > 0 ? color.lime : sig24 < -1 ? color.maroon : sig24 < 0 ? color.red : color.black //plot(filter24, title='MAAF', linewidth=2, color=maafColor24) /////////////////////////////// src25 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] fastLimit25 = input.float(title='FastLimit', defval=0.5, minval=0.01, step=0.01) slowLimit25 = input.float(title='SlowLimit', defval=0.05, minval=0.01, step=0.01) pi25 = 2 * math.asin(1) period25 = 0.0 smooth25 = (4 * src25 + 3 * nz(src25[1]) + 2 * nz(src25[2]) + nz(src25[3])) / 10 detrender25 = (0.0962 * smooth25 + 0.5769 * nz(smooth25[2]) - 0.5769 * nz(smooth25[4]) - 0.0962 * nz(smooth25[6])) * (0.075 * nz(period25[1]) + 0.54) q125 = (0.0962 * detrender25 + 0.5769 * nz(detrender25[2]) - 0.5769 * nz(detrender25[4]) - 0.0962 * nz(detrender25[6])) * (0.075 * nz(period25[1]) + 0.54) i125 = nz(detrender25[3]) jI25 = (0.0962 * i125 + 0.5769 * nz(i125[2]) - 0.5769 * nz(i125[4]) - 0.0962 * nz(i125[6])) * (0.075 * nz(period25[1]) + 0.54) jQ25 = (0.0962 * q125 + 0.5769 * nz(q125[2]) - 0.5769 * nz(q125[4]) - 0.0962 * nz(q125[6])) * (0.075 * nz(period25[1]) + 0.54) i225 = i125 - jQ25 i225 := 0.2 * i225 + 0.8 * nz(i225[1]) q225 = q125 + jI25 q225 := 0.2 * q225 + 0.8 * nz(q225[1]) re25 = i225 * nz(i225[1]) + q225 * nz(q225[1]) re25 := 0.2 * re25 + 0.8 * nz(re25[1]) im25 = i225 * nz(q225[1]) - q225 * nz(i225[1]) im25 := 0.2 * im25 + 0.8 * nz(im25[1]) period25 := im25 != 0 and re25 != 0 ? 2 * pi25 / math.atan(im25 / re25) : 0 period25 := math.min(math.max(period25, 0.67 * nz(period25[1])), 1.5 * nz(period25[1])) period25 := math.min(math.max(period25, 6), 50) period25 := 0.2 * period25 + 0.8 * nz(period25[1]) smoothPeriod25 = 0.0 smoothPeriod25 := 0.33 * period25 + 0.67 * nz(smoothPeriod25[1]) phase25 = i125 != 0 ? math.atan(q125 / i125) * 180 / pi25 : 0 deltaPhase25 = nz(phase25[1]) - phase25 deltaPhase25 := deltaPhase25 < 1 ? 1 : deltaPhase25 alpha25 = fastLimit25 / deltaPhase25 alpha25 := alpha25 < slowLimit25 ? slowLimit25 : alpha25 mama25 = 0.0 mama25 := alpha25 * src25 + (1 - alpha25) * nz(mama25[1]) fama25 = 0.0 fama25 := 0.5 * alpha25 * mama25 + (1 - 0.5 * alpha25) * nz(fama25[1]) sig25 = mama25 > fama25 ? 1 : mama25 < fama25 ? -1 : 0 mamaColor25 = sig25 > 0 ? color.green : sig25 < 0 ? color.red : color.black //plot(mama25, title='MAMA', color=mamaColor25, linewidth=2) //plot(fama25, title='FAMA', color=color.new(color.black, 0), linewidth=1) ////////////////////////////////////// length26 = input.int(title='Length', defval=15, minval=1) momLength26 = input.int(title='MomentumLength', defval=5, minval=1) src26 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] num26 = 0.0 coefSum26 = 0.0 for i = 0 to length26 - 1 by 1 coef26 = math.abs(nz(src26[i]) - nz(src26[i + momLength26])) num26 += coef26 * nz(src26[i]) coefSum26 += coef26 coefSum26 filt26 = coefSum26 != 0 ? num26 / coefSum26 : 0 sig26 = src26 > filt26 ? 1 : src26 < filt26 ? -1 : 0 filtColor26 = sig26 > 0 ? color.green : sig26 < 0 ? color.red : color.black //plot(filt26, title='Filter', color=filtColor26, linewidth=2) ////////////////////////////////// src27 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] wma127 = (7 * src27 + 6 * nz(src27[1]) + 5 * nz(src27[2]) + 4 * nz(src27[3]) + 3 * nz(src27[4]) + 2 * nz(src27[5]) + nz(src27[6])) / 28 wma227 = (7 * wma127 + 6 * nz(wma127[1]) + 5 * nz(wma127[2]) + 4 * nz(wma127[3]) + 3 * nz(wma127[4]) + 2 * nz(wma127[5]) + nz(wma127[6])) / 28 predict27 = 2 * wma127 - wma227 trigger27 = (4 * predict27 + 3 * nz(predict27[1]) + 2 * nz(predict27[2]) + nz(predict27[3])) / 10 sig27 = predict27 > trigger27 ? 1 : predict27 < trigger27 ? -1 : 0 pmaColor27 = sig27 > 0 ? color.green : sig27 < 0 ? color.red : color.black //plot(predict27, title='Predict', color=pmaColor27, linewidth=2) //plot(trigger27, title='Trigger', color=color.new(color.black, 0), linewidth=1) ///////////////////////////////////// src28 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length28 = input.int(title="Length", defval=14, minval=1) filt28 = 0.0, coef28 = 0.0, l228 = length28 / 2.0 for i = 1 to length28 c28 = i < l228 ? i : i > l228 ? length28 + 1 - i : l228 filt28 := filt28 + (c28 * nz(src28[i - 1])) coef28 := coef28 + c28 filt28 := coef28 != 0 ? filt28 / coef28 : 0 slo28 = src28 - filt28 sig28 = slo28 > 0 ? slo28 > nz(slo28[1]) ? 2 : 1 : slo28 < 0 ? slo28 < nz(slo28[1]) ? -2 : -1 : 0 tmaColor28 = sig28 > 1 ? color.green : sig28 > 0 ? color.lime : sig28 < -1 ? color.maroon : sig28 < 0 ? color.red : color.white //plot(filt28, title='Tma', color=tmaColor28, linewidth=2) ////////////////////////////////// src29 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] shortLength29 = input.int(title='ShortLength', defval=9, minval=1) longLength29 = input.int(title='LongLength', defval=30, minval=1) shortAvg29 = ta.wma(src29, shortLength29) shortMa29 = math.sum(math.pow(src29 - shortAvg29, 2), shortLength29) / shortLength29 shortRms29 = shortMa29 > 0 ? math.sqrt(shortMa29) : 0 longAvg29 = ta.wma(src29, longLength29) longMa29 = math.sum(math.pow(src29 - longAvg29, 2), longLength29) / longLength29 longRms29 = longMa29 > 0 ? math.sqrt(longMa29) : 0 kk29 = longRms29 != 0 ? 0.2 * shortRms29 / longRms29 : 0 vidya29 = 0.0 vidya29 := kk29 * src29 + (1 - kk29) * nz(vidya29[1]) slo29 = src29 - vidya29 sig29 = slo29 > 0 ? slo29 > nz(slo29[1]) ? 2 : 1 : slo29 < 0 ? slo29 < nz(slo29[1]) ? -2 : -1 : 0 vidyaColor29 = sig29 > 1 ? color.green : sig29 > 0 ? color.lime : sig29 < -1 ? color.maroon : sig29 < 0 ? color.red : color.black //plot(vidya29, title='Vidya', color=vidyaColor29, linewidth=2) //////////////////////////////////////// src31 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length31 = input(title='Length', defval=11) offset31 = input(title='Offset', defval=4) sum31 = 0.0 weightSum31 = 0.0 for i = 0 to length31 - 1 by 1 weight31 = length31 - i - offset31 sum31 += src31[i] * weight31 weightSum31 += weight31 weightSum31 epma31 = 1 / weightSum31 * sum31 sig31 = src31 > epma31 ? 1 : src31 < epma31 ? -1 : 0 epmaColor31 = sig31 > 0 ? color.green : sig31 < 0 ? color.red : color.black //plot(epma31, title='EPMA', linewidth=2, color=epmaColor31) //////////////////////////////// src32 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length32 = input.int(title='Length', defval=14, minval=1) jsa32 = (src32 + src32[length32]) / 2 sig32 = src32 > jsa32 ? 1 : src32 < jsa32 ? -1 : 0 jsaColor32 = sig32 > 0 ? color.green : sig32 < 0 ? color.red : color.black //plot(jsa32, color=jsaColor32, linewidth=2) ///////////////////////////// src33 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] fastLength33 = input.int(title = "FastLength", defval = 14, minval = 1) slowLength33 = input.int(title = "SlowLength", defval = 30, minval = 1) leavittProjection(src33, length33) => result33 = ta.linreg(src33, length33, -1) fastLp33 = leavittProjection(src33, fastLength33) slowLp33 = leavittProjection(src33, slowLength33) slo33 = fastLp33 - slowLp33 sig33 = slo33 > 0 ? slo33 > nz(slo33[1]) ? 2 : 1 : slo33 < 0 ? slo33 < nz(slo33[1]) ? -2 : -1 : 0 lpColor33 = sig33 > 1 ? color.green : sig33 > 0 ? color.lime : sig33 < -1 ? color.maroon : sig33 < 0 ? color.red : color.white //plot(fastLp33, title = 'FastLp', color = lpColor33, linewidth = 2) //plot(slowLp33, title = 'SlowLp', color = chart.fg_color, linewidth = 1) ////////////////////////////////// src34 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length34 = input(title='Length', defval=5) k34 = input.float(title='K Constant', step=0.1, defval=0.6) mdi34 = 0.0 mdi34 := na(mdi34[1]) ? src34 : nz(mdi34[1]) + (src34 - nz(mdi34[1])) / math.max(k34 * length34 * math.pow(src34 / nz(mdi34[1]), 4), 1) sig34 = src34 > mdi34 ? 1 : src34 < mdi34 ? -1 : 0 mdiColor34 = sig34 > 0 ? color.green : sig34 < 0 ? color.red : color.black //plot(mdi34, title='MDI', linewidth=2, color=mdiColor34) //////////////////////////////////////////// src35 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length35 = input.int(title='Length', defval=10, minval=1) fastLength35 = input.int(title='FastLength', defval=2, minval=1) slowLength35 = input.int(title='SlowLength', defval=30, minval=1) // first half uses the same formula as the kaufman adaptive moving average diff35 = math.abs(src35 - nz(src35[1])) signal35 = math.abs(src35 - nz(src35[length35])) noise35 = math.sum(diff35, length35) ratio35 = noise35 != 0 ? signal35 / noise35 : 0 // this is where it differs from the kaufman adaptive moving average fastSc35 = 2 / (fastLength35 + 1) slowSc35 = 2 / (slowLength35 + 1) temp35 = ratio35 * fastSc35 + slowSc35 maaq35 = 0.0 prevMaaq35 = nz(maaq35[1], src35) maaq35 := prevMaaq35 + math.pow(temp35, 2) * (src35 - prevMaaq35) sig35 = src35 > maaq35 ? 1 : src35 < maaq35 ? -1 : 0 maaqColor35 = sig35 > 0 ? color.green : sig35 < 0 ? color.red : color.black //plot(maaq35, title='MAAQ', linewidth=2, color=maaqColor35) /////////////////////////////// src36 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] fac36 = input.float(title='Factor', defval=0.2, minval=0.01) val236 = 2 / fac36 - 1 factor36 = 2 / (val236 + 1) mwdx36 = 0.0 mwdx36 := factor36 * src36 + (1 - factor36) * nz(mwdx36[1], src36) sig36 = src36 > mwdx36 ? 1 : src36 < mwdx36 ? -1 : 0 mwdxColor36 = sig36 > 0 ? color.green : sig36 < 0 ? color.red : color.black //plot(mwdx36, title='MWDX', linewidth=2, color=mwdxColor36) //////////////////////// src37 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] fastLength37 = input.int(title='FastLength', defval=10, minval=1) slowLength37 = input.int(title='SlowLength', defval=50, minval=1) mult37 = input.int(title='Multiple', defval=1, minval=1) fastEma37 = ta.ema(src37, fastLength37) slowEma37 = ta.ema(src37, slowLength37) sqAvg37 = math.sum(math.pow(slowEma37 - fastEma37, 2), fastLength37) / fastLength37 dev37 = math.sqrt(sqAvg37) * mult37 upperBand37 = slowEma37 + dev37 lowerBand37 = slowEma37 - dev37 middleBand37 = fastEma37 sig37 = src37 > upperBand37 and nz(src37[1]) <= nz(upperBand37[1]) or src37 > lowerBand37 and nz(src37[1]) <= nz(lowerBand37[1]) ? 1 : src37 < lowerBand37 and nz(src37[1]) >= nz(lowerBand37[1]) or src37 < upperBand37 and nz(src37[1]) >= nz(upperBand37[1]) ? -1 : src37 > middleBand37 ? 1 : src37 < middleBand37 ? -1 : 0 mabColor37 = sig37 > 0 ? color.green : sig37 < 0 ? color.red : color.black //plot(upperBand37, title='MabUp', color=mabColor37, linewidth=2) //plot(middleBand37, title='MabMid', color=color.new(color.black, 0), linewidth=1) //plot(lowerBand37, title='MabLow', color=mabColor37, linewidth=2) ////////////////////////////////// src38 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length38 = input(title='Length', defval=14) sum38 = 0.0 weightSum38 = 0.0 owma38 = 0.0 for i = 0 to length38 - 1 by 1 corr38 = ta.correlation(src38, owma38, length38) weight38 = math.pow(length38 - i, corr38) sum38 += src38[i] * weight38 weightSum38 += weight38 weightSum38 owma38 := sum38/ weightSum38 sig38 = src38 > owma38 ? 1 : src38 < owma38 ? -1 : 0 owmaColor38 = sig38 > 0 ? color.green : sig38 < 0 ? color.red : color.black //plot(owma38, title='OWMA', linewidth=2, color=owmaColor38) ///////////////////////////////// src39 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] minLength39 = input.int(title='MinLength', defval=5, minval=1) maxLength39 = input.int(title='MaxLength', defval=50, minval=1) mean39 = ta.sma(src39, maxLength39) stdDev39 = ta.stdev(src39, maxLength39) a39 = mean39 - 1.75 * stdDev39 b39 = mean39 - 0.25 * stdDev39 c390 = mean39 + 0.25 * stdDev39 d39 = mean39 + 1.75 * stdDev39 length39 = 0.0 length39 := src39 >= b39 and src39 <= c390 ? nz(length39[1], maxLength39) + 1 : src39 < a39 or src39 > d39 ? nz(length39[1], maxLength39) - 1 : nz(length39[1], maxLength39) length39 := math.max(math.min(length39, maxLength39), minLength39) sc39 = 2 / (length39 + 1) vlma39 = 0.0 vlma39 := src39 * sc39 + (1 - sc39) * nz(vlma39[1], src39) sig39 = src39 > vlma39 ? 1 : src39 < vlma39 ? -1 : 0 vlmaColor39 = sig39 > 0 ? color.green : sig39 < 0 ? color.red : color.black //plot(vlma39, title='VLMA', linewidth=2, color=vlmaColor39) ////////////////////////////// src41 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length41 = input(title='Length', defval=14) p41 = input.float(title='Power', minval=0, defval=1.0) sum41 = 0.0 weightSum41 = 0.0 for i = 0 to length41 - 1 by 1 weight41 = math.pow(length41 - i, p41) sum41 += src41[i] * weight41 weightSum41 += weight41 weightSum41 vpwma41 = sum41 / weightSum41 sig41 = src41 > vpwma41 ? 1 : src41 < vpwma41 ? -1 : 0 vpwmaColor41 = sig41 > 0 ? color.green : sig41 < 0 ? color.red : color.black //plot(vpwma41, title='VPWMA', linewidth=2, color=vpwmaColor41) ///////////////////////////// src42 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length42 = input(title='Length', defval=14) sum42 = 0.0 weightSum42 = 0.0 for i = 0 to length42 - 1 by 1 weight42 = math.pow(length42 - i, 2) sum42 += src42[i] * weight42 weightSum42 += weight42 weightSum42 swma42 = sum42 / weightSum42 sig42 = src42 > swma42 ? 1 : src42 < swma42 ? -1 : 0 swmaColor42 = sig42 > 0 ? color.green : sig42 < 0 ? color.red : color.black //plot(swma42, title='SWMA', linewidth=2, color=swmaColor42) ////////////////////////// src43 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length43 = input(title='Length', defval=14) sum43 = 0.0 weightSum43 = 0.0 for i = 0 to length43 - 1 by 1 weight43 = math.pow(length43 - i, 0.5) sum43 += src43[i] * weight43 weightSum43 += weight43 weightSum43 srwma43 = sum43 / weightSum43 sig43 = src43 > srwma43 ? 1 : src43 < srwma43 ? -1 : 0 srwmaColor43 = sig43 > 0 ? color.green : sig43 < 0 ? color.red : color.black //plot(srwma43, title='SRWMA', linewidth=2, color=srwmaColor43) //////////////////////// src44 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length44 = input.int(title='Length', defval=20, minval=1) middleBandLength44 = input.int(title='MiddleBandLength', defval=21, minval=1) bandsDeviation44 = input.float(title='BandsDeviation', defval=2.4, minval=0.1) lowBandAdjust44 = input.float(title='LowBandAdjust', defval=0.9, minval=0.1) atrPeriod44 = length44 * 2 - 1 atrBuf44 = ta.atr(atrPeriod44) * bandsDeviation44 ma44 = ta.ema(src44, length44) upperBand44 = ma44 + ma44 * atrBuf44 / src44 middleBand44 = ta.ema(src44, middleBandLength44) lowerBand44 = ma44- ma44 * atrBuf44 * lowBandAdjust44 / src44 sig44 = src44 > upperBand44 and nz(src44[1]) <= nz(upperBand44[1]) or src44 > lowerBand44 and nz(src44[1]) <= nz(lowerBand44[1]) or src44 > middleBand44 ? 1 : src44 < lowerBand44 and nz(src44[1]) >= nz(lowerBand44[1]) or src44 < upperBand44 and nz(src44[1]) >= nz(upperBand44[1]) or src44 < middleBand44 ? -1 : 0 svbColor44 = sig44 > 0 ? color.green : sig44 < 0 ? color.red : color.black //plot(upperBand44, title='SVBUp', color=svbColor44, linewidth=2) //plot(middleBand44, title='SVBMid', color=color.new(color.black, 0), linewidth=1) //plot(lowerBand44, title='SVBLow', color=svbColor44, linewidth=2) ////////////////////// src45 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length45 = input.int(title='Length', defval=50, minval=2) mult45 = input.float(title='Mult', defval=10.0, minval=0.01) alpha45 = 2.0 / (length45 + 1) mom45 = src45 - nz(src45[1]) up45 = mom45 > 0 ? mom45 : 0 dn45 = mom45 < 0 ? math.abs(mom45) : 0 upMa45 = ta.ema(up45, length45) dnMa45 = ta.ema(dn45, length45) rs45 = upMa45 + dnMa45 != 0 ? math.abs(upMa45 - dnMa45) / (upMa45 + dnMa45) : 0 rsEma45 = 0.0 rsEma45 := nz(rsEma45[1]) + (alpha45 * (1 + (rs45 * mult45)) * (src45 - nz(rsEma45[1]))) slo45 = src45 - rsEma45 sig45 = slo45 > 0 ? slo45 > nz(slo45[1]) ? 2 : 1 : slo45 < 0 ? slo45 < nz(slo45[1]) ? -2 : -1 : 0 rsemaColor45 = sig45 > 1 ? color.green : sig45 > 0 ? color.lime : sig45 < -1 ? color.maroon : sig45 < 0 ? color.red : color.black //plot(rsEma45, title='RSEma', color=rsemaColor45, linewidth=2) ////////////////////// volSym46 = input.symbol(title='Volatility Symbol', defval='VIX') src46 = request.security(syminfo.tickerid, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] volSrc46 = request.security(volSym46, res, inp[rep ? 0 : barstate.isrealtime ? 1 : 0])[rep ? 0 : barstate.isrealtime ? 0 : 1] length46 = input.int(title='Length', defval=10, minval=1) maLength46 = input.int(title='MaLength', defval=10, minval=1) mult46 = input.float(title='Mult', defval=10.0, minval=.01) alpha46 = 2.0 / (length46 + 1) mom46 = src46 - nz(src46[1]) pv46 = mom46> 0 ? volSrc46 : 0 nv46 = mom46 < 0 ? volSrc46 : 0 pvMa46 = ta.ema(pv46, maLength46) nvMa46 = ta.ema(nv46, maLength46) rs46 = pvMa46 + nvMa46 != 0 ? math.abs(pvMa46 - nvMa46) / (pvMa46 + nvMa46) : 0 rsvaEma46 = 0.0 rsvaEma46 := nz(rsvaEma46[1]) + (alpha46 * (1 + (rs46 * mult46)) * (src46 - nz(rsvaEma46[1]))) slo46 = src46 - rsvaEma46 sig46 = slo46 > 0 ? slo46 > nz(slo46[1]) ? 2 : 1 : slo46 < 0 ? slo46 < nz(slo46[1]) ? -2 : -1 : 0 rsvaemaColor46 = sig46 > 1 ? color.green : sig46 > 0 ? color.lime : sig46 < -1 ? color.maroon : sig46 < 0 ? color.red : color.black //plot(rsvaEma46, title='RSEma', color=rsvaemaColor46, linewidth=2) ///////////////////////////////// float inp55 = input(title = 'Source', defval = close) string res55 = input.timeframe(title = 'Resolution', defval = '') bool rep55 = input(title = 'Allow Repainting?', defval = false) float src47 = request.security(syminfo.tickerid, res55, inp55[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] int length47 = input.int(title = 'Length', defval = 40, minval = 2) float mult47 = input.float(title = 'Mult', defval = 10.0, minval = 0.01) float alpha47 = 2.0 / (length47 + 1) float trL47 = ta.lowest(ta.tr, length47) float trH47 = ta.highest(ta.tr, length47) float trAdj47 = trH47 - trL47 != 0 ? (ta.tr - trL47) / (trH47 - trL47) : 0 float trAdjEma47 = 0.0 trAdjEma47 := nz(trAdjEma47[1]) + (alpha47 * (1 + (trAdj47 * mult47)) * (src47 - nz(trAdjEma47[1]))) float slo47 = src47 - trAdjEma47 int sig47 = slo47 > 0 ? slo47 > nz(slo47[1]) ? 2 : 1 : slo47 < 0 ? slo47 < nz(slo47[1]) ? -2 : -1 : 0 color tradjemaColor47 = sig47 > 1 ? color.green : sig47 > 0 ? color.lime : sig47 < -1 ? color.maroon : sig47 < 0 ? color.red : color.black //plot(trAdjEma47, title = 'TrAdjEma', color = tradjemaColor47, linewidth = 2) ///////////////////////////////// float src49 = request.security(syminfo.tickerid, res55, inp55[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] float tr49 = request.security(syminfo.tickerid, res55, ta.tr[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] int length49 = input.int(title = 'Length', defval = 30, minval = 2) float hhC49 = ta.highest(src49, length49) float llC49 = ta.lowest(src49, length49) float result49 = hhC49 - llC49 float effort49 = math.sum(tr49, length49) float alpha49 = effort49 != 0 ? result49 / effort49 : 0 float nama49 = 0.0 nama49 := (alpha49 * src49) + ((1 - alpha49) * nz(nama49[1])) float slo49 = src49 - nama49 int sig49 = slo49 > 0 ? slo49 > nz(slo49[1]) ? 2 : 1 : slo49 < 0 ? slo49 < nz(slo49[1]) ? -2 : -1 : 0 color namaColor49 = sig49 > 1 ? color.green : sig49 > 0 ? color.lime : sig49 < -1 ? color.maroon : sig49 < 0 ? color.red : color.black //plot(nama49, title = 'Nama', color = namaColor49, linewidth = 2) ////////////////////////////////////// float src50 = request.security(syminfo.tickerid, res55, inp55[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] float tr50 = request.security(syminfo.tickerid, res55, ta.tr[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] int length50 = input.int(title = 'Length', defval = 30, minval = 2) float result50 = math.abs(src50 - nz(src50[length50])) float effort50 = math.sum(tr50, length50) float alpha50 = effort50 != 0 ? result50 / effort50 : 0 float anama50 = 0.0 anama50 := (alpha50 * src50) + ((1 - alpha50) * nz(anama50[1])) float slo50 = src50 - anama50 int sig50 = slo50 > 0 ? slo50 > nz(slo50[1]) ? 2 : 1 : slo50 < 0 ? slo50 < nz(slo50[1]) ? -2 : -1 : 0 color anamaColor50 = sig50 > 1 ? color.green : sig50 > 0 ? color.lime : sig50 < -1 ? color.maroon : sig50 < 0 ? color.red : color.black //plot(anama50, title = 'Anama', color = anamaColor50, linewidth = 2) ///////////////////////////////////////////////////////// float src51 = request.security(syminfo.ticker, res55, inp55[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] int fastLength51 = input.int(title = 'FastLength', defval = 6, minval = 1) int slowLength51 = input.int(title = 'SlowLength', defval = 12, minval = 1) int sampleLength51 = input.int(title = 'SampleLength', defval = 5, minval = 1) hannFilter51(float sampleSrc51, int length51) => filt51 = 0.0, coef51 = 0.0 for i = 1 to length51 cosine51 = 1 - math.cos(2 * math.pi * i / (length51 + 1)) filt51 := filt51 + (cosine51 * nz(sampleSrc51[i - 1])) coef51 := coef51 + cosine51 filt51 := coef51 != 0 ? filt51 / coef51 : 0 float sample51 = 0.0 sample51 := bar_index % sampleLength51 == 0 ? src51 : nz(sample51[1]) float fastAvg51 = hannFilter51(sample51, fastLength51) float slowAvg51 = hannFilter51(sample51, slowLength51) float slo51 = fastAvg51 - slowAvg51 int sig51 = slo51 > 0 ? slo51 > nz(slo51[1]) ? 2 : 1 : slo51 < 0 ? slo51 < nz(slo51[1]) ? -2 : -1 : 0 color udsmaColor51 = sig51 > 1 ? color.green : sig51 > 0 ? color.lime : sig51 < -1 ? color.maroon : sig51 < 0 ? color.red : color.black //plot(fastAvg51, title = "FastAverage", color = udsmaColor51, linewidth = 2) //plot(slowAvg51, title = "SlowAverage", color = chart.fg_color, linewidth = 1) ////////////////////////////////// float src52 = request.security(syminfo.tickerid, res55, inp55[rep55 ? 0 : barstate.isrealtime ? 1 : 0])[rep55 ? 0 : barstate.isrealtime ? 0 : 1] fastLength52 = input.int(title = "FastLength", defval = 14, minval = 1) slowLength52 = input.int(title = "SlowLength", defval = 30, minval = 1) leavittProjection52(float src52, int length52) => float result52 = ta.linreg(src52, length52, -1) leavittConvolution52(float src52, int length52) => int sqrtLength52 = math.floor(nz(math.sqrt(length52))) float result52 = ta.linreg(leavittProjection52(src52, length52), sqrtLength52, -1) float fastConv52 = leavittConvolution52(src52, fastLength52) float slowConv52 = leavittConvolution52(src52, slowLength52) float slo52 = fastConv52 - slowConv52 int sig52 = slo52 > 0 ? slo52 > nz(slo52[1]) ? 2 : 1 : slo52 < 0 ? slo52 < nz(slo52[1]) ? -2 : -1 : 0 color lcColor52 = sig52 > 1 ? color.green : sig52 > 0 ? color.lime : sig52 < -1 ? color.maroon : sig52 < 0 ? color.red : color.white //plot(fastConv52, title = 'FastConv', color = lcColor52, linewidth = 2) //plot(slowConv52, title = 'SlowConv', color = chart.fg_color, linewidth = 1) ////////////////////////////////////////////// //////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// f_security(_symbol66, _res66, _src66, _repaint66) => request.security(_symbol66, _res66, _src66[_repaint66 ? 0 : barstate.isrealtime ? 1 : 0])[_repaint66 ? 0 : barstate.isrealtime ? 0 : 1] res66 = input.timeframe(title='Resolution', defval='') rep66 = input(title='Allow Repainting?', defval=false) length53 = input.int(title='Length', defval=14, minval=1) factor53 = input.int(title='Factor', defval=2, minval=1) p53 = f_security(syminfo.tickerid, res66, hl2, rep66) h53 = f_security(syminfo.tickerid, res66, high, rep66) l53 = f_security(syminfo.tickerid, res66, low, rep66) t53 = f_security(syminfo.tickerid, res66, ta.tr, rep66) mpEma53 = ta.ema(p53, length53) trEma53 = ta.ema(t53, length53) stdDev53 = ta.stdev(trEma53, length53) ad53 = p53 > nz(p53[1]) ? mpEma53 + trEma53 / 2 : p53 < nz(p53[1]) ? mpEma53 - trEma53 / 2 : mpEma53 adm53 = ta.ema(ad53, length53) trndDn53 = 0.0 trndDn53 := ta.crossunder(adm53, mpEma53) ? h53[2] : p53 < nz(p53[1]) ? p53 + stdDev53 * factor53 : nz(trndDn53[1], h53[2]) trndUp53 = 0.0 trndUp53 := ta.crossover(adm53, mpEma53) ? l53[2] : p53 > nz(p53[1]) ? p53 - stdDev53 * factor53 : nz(trndUp53[1], l53[2]) trndr53 = 0.0 trndr53 := adm53 < mpEma53 ? trndDn53 : adm53 > mpEma53 ? trndUp53 : nz(trndr53[1], 0) sig53 = p53 > trndr53 ? 1 : p53 < trndr53 ? -1 : 0 trndrColor53 = sig53 > 0 ? color.green : sig53 < 0 ? color.red : color.black //plot(trndr53, color=trndrColor53, linewidth=2) //plot(mpEma53, color=color.new(color.blue, 0), linewidth=2) //plot(adm53, color=color.new(color.black, 0), linewidth=1) ///////////////////////////////////////// c54 = f_security(syminfo.tickerid, res66, close, rep66) v54 = f_security(syminfo.tickerid, res66, volume, rep66) length54 = input.int(title='Length', defval=50, minval=2) mult54 = input.float(title='Mult', defval=10.0, minval=0.01) alpha54 = 2.0 / (length54 + 1) mom54 = c54 - nz(c54[1]) pv54 = mom54 > 0 ? v54 : 0 nv54 = mom54 < 0 ? v54 : 0 pvMa54 = ta.ema(pv54, length54) nvMa54 = ta.ema(nv54, length54) vs54 = pvMa54 + nvMa54 != 0 ? math.abs(pvMa54 - nvMa54) / (pvMa54 + nvMa54) : 0 rsvaEma54 = 0.0 rsvaEma54 := nz(rsvaEma54[1]) + (alpha54 * (1 + (vs54 * mult54)) * (c54 - nz(rsvaEma54[1]))) slo54 = c54 - rsvaEma54 sig54 = slo54 > 0 ? slo54 > nz(slo54[1]) ? 2 : 1 : slo54 < 0 ? slo54 < nz(slo54[1]) ? -2 : -1 : 0 rsvaemaColor54 = sig54 > 1 ? color.green : sig54 > 0 ? color.lime : sig54 < -1 ? color.maroon : sig54 < 0 ? color.red : color.black //plot(rsvaEma54, title='RSEma', color=rsvaemaColor54, linewidth=2) //////////////////////////////////// length56 = input.int(title='Length', defval=25, minval=1) h56 = f_security(syminfo.tickerid, res66, high, rep66) l56 = f_security(syminfo.tickerid, res66, low, rep66) c56 = f_security(syminfo.tickerid, res66, close, rep66) hh56 = ta.highest(h56, length56) ll56 = ta.lowest(l56, length56) atr56 = ta.atr(length56) mult56 = math.sqrt(length56) dSup56 = hh56 - atr56 * mult56 dRes56 = ll56 + atr56 * mult56 dMid56 = (dSup56 + dRes56) / 2 sig56 = c56 > dMid56 ? 1 : c56 < dMid56 ? -1 : 0 dsrColor56 = sig56 > 0 ? color.green : sig56 < 0 ? color.red : color.black //plot(dSup56, title='Support', color=color.new(color.red, 0), linewidth=2) //plot(dMid56, title='Middle', color=dsrColor56, linewidth=1) //plot(dRes56, title='Resistance', color=color.new(color.green, 0), linewidth=2) /////////////////////////////// length57 = input.int(title='Length', defval=3, minval=1) h57 = f_security(syminfo.tickerid, res66, high, rep66) l57 = f_security(syminfo.tickerid, res66, low, rep66) c57 = f_security(syminfo.tickerid, res66, close, rep66) highMa57 = ta.sma(h57, length57) lowMa57 = ta.sma(l57, length57) ghla57 = 0.0 ghla57 := c57 > nz(highMa57[1]) ? lowMa57 : c57 < nz(lowMa57[1]) ? highMa57 : nz(ghla57[1]) sig57 = c57 > ghla57 ? 1 : c57 < ghla57 ? -1 : 0 ghlaColor57 = sig57 > 0 ? color.green : sig57 < 0 ? color.red : color.black //plot(ghla57, title='GHLA', color=ghlaColor57, linewidth=2) ////////////////////////////////// lbLength58 = input.int(title='LookBackLength', defval=21, minval=1) p58 = f_security(syminfo.tickerid, res66, close, rep66) h58 = f_security(syminfo.tickerid, res66, high, rep66) l58 = f_security(syminfo.tickerid, res66, low, rep66) ll58 = ta.lowest(lbLength58) hh58 = ta.highest(lbLength58) hCount58 = 0 lCount58 = 0 cbl58 = p58 for i = 0 to lbLength58 by 1 if l58[i] == ll58 for j58 = i + 1 to i + lbLength58 by 1 lCount58 += (h58[j58] > h58[i] ? 1 : 0) if lCount58 == 2 cbl58 := h58[j58] break if h58[i] == hh58 for j58 = i + 1 to i + lbLength58 by 1 hCount58 += (l58[j58] < l58[i] ? 1 : 0) if hCount58 == 2 cbl58 := l58[j58] break sig58 = p58 > cbl58 ? 1 : p58 < cbl58 ? -1 : 0 cblColor58 = sig58 > 0 ? color.green : sig58 < 0 ? color.red : color.black //plot(cbl58, color=cblColor58, linewidth=2) ////////////////////////////// inp59 = input(title='Source', defval=close) h59 = f_security(syminfo.tickerid, res66, high, rep66) l59 = f_security(syminfo.tickerid, res66, low, rep66) c59 = f_security(syminfo.tickerid, res66, inp59, rep66) length59 = input.int(title='Length', defval=14, minval=1) mHigh59 = ta.linreg(h59, length59, 0) - ta.linreg(h59, length59, 1) mLow59 = ta.linreg(l59, length59, 0) - ta.linreg(l59, length59, 1) upperBand59 = h59, lowerBand59 = l59 for i = 0 to length59 - 1 currH59 = nz(h59[i]) prevH59 = nz(h59[i - 1]) currL59 = nz(l59[i]) prevL59 = nz(l59[i - 1]) vHigh59 = currH59 + (nz(mHigh59[i]) * i) vLow59 = currL59 + (nz(mLow59[i]) * i) upperBand59 := math.max(vHigh59, upperBand59) lowerBand59 := math.min(vLow59, lowerBand59) middleBand59 = (upperBand59 + 59) / 2 slo59 = c59 - middleBand59 sig59 = (c59 > upperBand59 and nz(c59[1]) <= nz(upperBand59[1])) or (c59 > lowerBand59 and nz(c59[1]) <= nz(lowerBand59[1])) ? 1 : (c59 < lowerBand59 and nz(c59[1]) >= nz(lowerBand59[1])) or (c59 < upperBand59 and nz(c59[1]) >= nz(upperBand59[1])) ? -1 : slo59 > 0 ? slo59 > nz(slo59[1]) ? 2 : 1 : slo59 < 0 ? slo59 < nz(slo59[1]) ? -2 : -1 : 0 pbColor59 = sig59 > 1 ? color.green : sig59 > 0 ? color.lime : sig59 < -1 ? color.maroon : sig59 < 0 ? color.red : color.black //plot(upperBand59, title="UpperBand", linewidth=2, color=pbColor59) //plot(middleBand59, title="MiddleBand", linewidth=1, color=color.white) //plot(lowerBand59, title="LowerBand", linewidth=2, color=pbColor59) /////////////////////////////////// length61 = input.int(title='Length', defval=25, minval=1) h61 = f_security(syminfo.tickerid, res66, high, rep66) l61 = f_security(syminfo.tickerid, res66, low, rep66) c61 = f_security(syminfo.tickerid, res66, close, rep66) hh61 = ta.highest(h61, length61) ll61 = ta.lowest(l61, length61) range_161 = hh61 - ll61 sup161 = ll61 - 0.25 * range_161 sup261 = ll61 - 0.5 * range_161 res161 = hh61 + 0.25 * range_161 res261 = hh61 + 0.5 * range_161 mid61 = (sup161 + sup261 + res161 + res261) / 4 sig61 = c61 > mid61 ? 1 : c61 < mid61 ? -1 : 0 psrColor61 = sig61 > 0 ? color.green : sig61 < 0 ? color.red : color.black //plot(sup161, title='Support1', color=color.new(color.red, 0), linewidth=2) //plot(sup261, title='Support2', color=color.new(color.red, 0), linewidth=2) //plot(mid61, title='Middle', color=psrColor61, linewidth=1) //plot(res161, title='Resistance1', color=color.new(color.green, 0), linewidth=2) //plot(res261, title='Resistance2', color=color.new(color.green, 0), linewidth=2) ///////////////////////////////////////////////////////////

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//@version=6 indicator(title = '...', shorttitle = '.', overlay = true, max_lines_count = 100, max_labels_count=100) ye99 = input.int(100, 'P1', minval = 1) ye98 = input.string('Percentage') hpFilter(sye97, ye99) => var float ye96 = na ye96 := na(ye96[1]) ? sye97 : (sye97 + (ye99 - 1) * nz(ye96[1])) / ye99 ye96 // ye95 = hpFilter(close, ye99) ye92 = (close - ye95) / ye95 * 100 ye87 = close - ye95 var ye94 = array.new_float() var ye93 = array.new_float() if ye98 == 'Percentage' if ye92 > 0 array.push(ye94, ye92) else if ye92 < 0 array.push(ye93, ye92) // ye91 = array.size(ye94) > 0 ? array.avg(ye94) : na ye90 = array.size(ye93) > 0 ? array.avg(ye93) : na ye89 = ye91 / 100 * ye95 + ye95 ye88 = ye90 / 100 * ye95 + ye95 plot(ye95, title = '100-M ', color = color.rgb(3, 36, 247), linewidth = 2, force_overlay = true) plot(ye89, title = '100-H ', color = color.rgb(3, 36, 247), force_overlay = true, style = plot.style_line) plot(ye88, title = '100-L ', color = color.rgb(3, 36, 247), force_overlay = true, style = plot.style_line)

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// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © carefulCode53358 // ------------------------------------------------------------------ // RJT CRYSTALS v1.02 // [en]Version 1.1 (solved the new compilator detection errors) // Use this graphic tracer based in crystals to help interpreting // the evolution of the price under a new and different perspective. // The form of the crystals and the overlap between them will show // a new mode to predict the begin and the end of trends. // A clue... find the triangles. ;) // *Parameters: Coloured Crystals? // ------------------------------------------------------------------ // [es]Version 1.1 (resuelta la nueva detección de errores del compilador) // Utiliza este trazador gráfico a base de cristales para ayudarte // a interpretar la evolución del precio bajo una nueva y diferente // perspectiva. La forma de los cristales así como su superposición // entre ellos mostrarán un modo diferente de predecir el comienzo y // final de las tendencias. Una pista... encuentra los triángulos. ;) // *Parámetros: Coloured Crystals? (¿cristales coloreados?) // ------------------------------------------------------------------ // [ID. 0014-03-102-1300-00] // ------------------------------------------------------------------ // Author: Rafael Jiménez Tocino // Email: info@tradingrafa.com // ------------------------------------------------------------------ // Source code protected by PineCrypt v.1.0 (www.pinescripts.com) // (to renove expiry key contact the author of this script) // ------------------------------------------------------------------ //@version=2 GcFuzSqity9GSymNUaJlKX6gThDdzlqJEpAjb9JXVgOGfE='V',Ln840RhQbZP83Vr3Z5w8_SB9E45dUSKTSh5LNDSe0J4eHH=sunday, ZLlkue66ZsJ8LvP3RMiLSfYSDNVZzntMPpdCUiQH1q2s4Uc4xXvMv='l', 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by www.PineScripts.com"?na:-10000,plot(P8fadzT4TQ_9xeQE3fExvrS1WBtY_99hj0zyq3nLwpGLiqXqb4l7cIe) // Encrypt Compilation [1838] --------------------------------------- ////////////////////////SAR DÖNGÜLEME HESAPLAMASI/////////////////////////////////////////////////////////////// A1 = input(0.) B1 = input(0.1) C1 = input(0.1, ".") ABC1 = sar(A1, B1, C1) plot(ABC1, "1", style=cross, color=blue, linewidth = 3, transp=00) A11 = input(0.) B11 = input(0.1) C11 = input(0.9, ".") ABC11 = sar(A11, B11, C11) plot(ABC11, "2", style=cross, color=fuchsia, linewidth = 3, transp=00) A111 = input(0.) B111 = input(0.1) C111 = input(0.2, ".") ABC111 = sar(A111, B111, C111) plot(ABC111, "3", style=cross, color=lime, linewidth = 3, transp=00) A1112 = input(0.) B1112 = input(0.01) C1112 = input(0.1, ".") ABC1112 = sar(A1112, B1112, C1112) plot(ABC1112, "4", style=cross, color=red, linewidth = 3, transp=00) A11122 = input(0.) B11122 = input(0.9) C11122 = input(0.1, ".") ABC11122 = sar(A11122, B11122, C11122) plot(ABC11122, "5", style=cross, color=white, linewidth = 3, transp=00) A111222 = input(0.02) B111222 = input(0.02) C111222 = input(0.2, ".") ABC111222 = sar(A111222, B111222, C111222) plot(ABC111222, "6", style=cross, color=black, linewidth = 3, transp=00) ///////////////////////////////////////

PHP Code:

//@version=6 indicator(title = 'yörük 2025', shorttitle = '.', overlay = true, max_lines_count = 100, max_labels_count=100, max_boxes_count = 100, max_bars_back = 100) //////////////////////////////////////////////////////////////////MTF SAR HESAPLAMASIDIR/////////////// start46 = input(0.) increment46 = input(0.1) maximum46 = input(0.9, "Max Value") out55 = ta.sar(start46, increment46, maximum46) plot_color = close > out55 ? color.rgb(5, 182, 64) : close < out55 ? color.rgb(169, 7, 7) : na show_header = input(false, title="Show header?", group='Table Settings') dashboard_position = input.string("Top center", title="Position", options=["Top right", "Top center", "Middle right"], group='Table Settings') text_size = input.string('Normal', title="Size", options=["Tiny", "Small", "Normal", "Large"], group='Table Settings') text_color = input.color(color.rgb(11, 68, 224), title="Text color", group='Table Settings') table_color = input.color(color.purple, title="Border color", group='Table Settings') uptrend_indicator = "🔵" downtrend_indicator = "🟠" tf11 = input.timeframe("1", title="Timeframe 1") tf22 = input.timeframe("3", title="Timeframe 2") tf33 = input.timeframe("5", title="Timeframe 3") tf4 = input.timeframe("10", title="Timeframe 4") tf5 = input.timeframe("15", title="Timeframe 5") tf6 = input.timeframe("30", title="Timeframe 6") tf7 = input.timeframe("60", title="Timeframe 7") tf8 = input.timeframe("120", title="Timeframe 8") tf9 = input.timeframe("240", title="Timeframe 9") tf10 = input.timeframe("D", title="Timeframe 10") var table_position = dashboard_position == 'Top center' ? position.middle_left : dashboard_position == 'Top center' ? position.middle_left : dashboard_position == 'Middle right' ? position.middle_right : position.middle_right var table_text_size = text_size == 'Normal' ? size.normal : text_size == 'Small' ? size.small : size.normal var t = table.new(position=table_position, columns=3, rows=20, frame_color=#cdcbcb, frame_width=5, border_color=table_color, border_width=1,bgcolor =color.rgb(21, 21, 21) ) get_trend_status(trend_value) => is_uptrend = close > trend_value candle_now = is_uptrend ? uptrend_indicator : downtrend_indicator candle_now //-------------------------------------------------------------------------------------- sar_1 = request.security(syminfo.tickerid, tf11, ta.sar(start46, increment46, maximum46)) sar_2 = request.security(syminfo.tickerid, tf22, ta.sar(start46, increment46, maximum46)) sar_3 = request.security(syminfo.tickerid, tf33, ta.sar(start46, increment46, maximum46)) sar_4 = request.security(syminfo.tickerid, tf4, ta.sar(start46, increment46, maximum46)) sar_5 = request.security(syminfo.tickerid, tf5, ta.sar(start46, increment46, maximum46)) sar_6 = request.security(syminfo.tickerid, tf6, ta.sar(start46, increment46, maximum46)) sar_7 = request.security(syminfo.tickerid, tf7, ta.sar(start46, increment46, maximum46)) sar_8 = request.security(syminfo.tickerid, tf8, ta.sar(start46, increment46, maximum46)) sar_9 = request.security(syminfo.tickerid, tf9, ta.sar(start46, increment46, maximum46)) sar_10 = request.security(syminfo.tickerid, tf10, ta.sar(start46, increment46, maximum46)) trend_indicator_1 = get_trend_status(sar_1) trend_indicator_2 = get_trend_status(sar_2) trend_indicator_3 = get_trend_status(sar_3) trend_indicator_4 = get_trend_status(sar_4) trend_indicator_5 = get_trend_status(sar_5) trend_indicator_6 = get_trend_status(sar_6) trend_indicator_7 = get_trend_status(sar_7) trend_indicator_8 = get_trend_status(sar_8) trend_indicator_9 = get_trend_status(sar_9) trend_indicator_10 = get_trend_status(sar_10) if tf11 == "60" tf11 := "1H" if tf11 == "120" tf11 := "2H" if tf11 == "180" tf11 := "3H" if tf11 == "240" tf11 := "4H" if tf22 == "60" tf22 := "1H" if tf22 == "120" tf22 := "2H" if tf22 == "180" tf22 := "3H" if tf22 == "240" tf22 := "4H" if tf33 == "60" tf33 := "1H" if tf33 == "120" tf33 := "2H" if tf33 == "180" tf33 := "3H" if tf33 == "240" tf33 := "4H" if tf4 == "60" tf4 := "1H" if tf4 == "120" tf4 := "2H" if tf4 == "180" tf4 := "3H" if tf4 == "240" tf4 := "4H" if tf5 == "60" tf5 := "1H" if tf5 == "120" tf5 := "2H" if tf5 == "180" tf5 := "3H" if tf5 == "240" tf5 := "4H" if tf6 == "60" tf6 := "1H" if tf6 == "120" tf6 := "2H" if tf6 == "180" tf6 := "3H" if tf6 == "240" tf6 := "4H" if tf7 == "60" tf7 := "1H" if tf7 == "120" tf7 := "2H" if tf7 == "180" tf7 := "3H" if tf7 == "240" tf7 := "4H" if tf8 == "60" tf8 := "1H" if tf8 == "120" tf8 := "2H" if tf8 == "180" tf8 := "3H" if tf8 == "240" tf8 := "4H" if tf9 == "60" tf9 := "1H" if tf9 == "120" tf9 := "2H" if tf9 == "180" tf9 := "3H" if tf9 == "240" tf9 := "4H" if tf10 == "60" tf10 := "1H" if tf10 == "120" tf10 := "2H" if tf10 == "180" tf10 := "3H" if tf10 == "240" tf10 := "4H" //--------------------------------------------------------------------------------------------- // Update table with trend data //--------------------------------------------------------------------------------------------- if (barstate.islast) table.cell(t, 0, 1, tf11, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 1, text="●", text_color=trend_indicator_1==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 1, str.tostring(sar_1, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 2, tf22, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 2, text="●", text_color=trend_indicator_2==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 2, str.tostring(sar_2, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 3, tf33, text_color=color.white, text_size=table_text_size,bgcolor= color.rgb(21, 21, 21)) table.cell(t, 1, 3, text="●", text_color=trend_indicator_3==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 3, str.tostring(sar_3, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 4, tf4, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 4, text="●", text_color=trend_indicator_4==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 4, str.tostring(sar_4, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 5, tf5, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 5, text="●", text_color=trend_indicator_5==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 5, str.tostring(sar_5, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 6, tf6, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 6, text="●", text_color=trend_indicator_6==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 6, str.tostring(sar_6, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 7, tf7, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 7, text="●", text_color=trend_indicator_7==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 7, str.tostring(sar_7, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 8, tf8, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 8, text="●", text_color=trend_indicator_8==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 8, str.tostring(sar_8, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 9, tf9, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 9, text="●", text_color=trend_indicator_9==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 9, str.tostring(sar_9, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 0, 10, tf10, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t, 1, 10, text="●", text_color=trend_indicator_10==uptrend_indicator?color.lime:color.red,text_size = size.large) table.cell(t, 2, 10, str.tostring(sar_10, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21)) table.cell(t,0,0,"Periyot",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) table.cell(t,1,0,"Trend",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) table.cell(t,2,0,"Fiyat",text_color = color.white,bgcolor = color.rgb(21, 21, 21)) lookback = input.int(5, "Line Lookback Period", minval=1) ///////////////////SON////////////////// // ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ grp = "Standart Deviation Levels" length = input.int(5, "SMA Length", group = "SMA") mult1 = input.int(1, "Standart Deviation 1", group = grp) mult2 = input.int(2, "Standart Deviation 2", group = grp) mult3 = input.int(3, "Standart Deviation 3", group = grp) show_tp = input.bool(true, "Show", group = "Trend Distribution Profile") bins = input.int(50, "Bins Amount", group = "Trend Distribution Profile") offset = input.int(30, "Offset", group = "Trend Distribution Profile") //col_up = input.color(color.rgb(18, 209, 235), "", group = "Theme", inline = "c") //col_dn = input.color(color.rgb(250, 40, 86), "", group = "Theme", inline = "c") var start_index = int(na) var trend = bool(na) // } // ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ avg = ta.sma(close, length) atr = ta.atr(200) stdv1 = avg + atr * mult1 stdv2 = avg + atr * mult2 stdv3 = avg + atr * mult3 stdv_1 = avg - atr * mult1 stdv_2 = avg - atr * mult2 stdv_3 = avg - atr * mult3 max = stdv3 min = stdv_3 avg_diff = avg - avg[5] avg_col = avg_diff / ta.percentile_linear_interpolation(avg_diff, 500, 100) //avg_color = color.from_gradient(avg_col, -0.3, 0.3, col_dn, col_up) if ta.crossover(avg_col, 0.1) and not trend trend := true start_index := bar_index if ta.crossunder(avg_col, -0.1) and trend trend := false start_index := bar_index loockback = bar_index - start_index draw_stdv(src, mult, mid = false)=> if barstate.islast if mid line.delete(line.new(bar_index, avg, bar_index+5, avg, color = color.black, width = 2)[1]) line.delete(line.new(bar_index, src, bar_index+5, src, color = chart.fg_color, width = 2)[1]) label.delete(label.new(bar_index+5, src, color = color.new(chart.fg_color, 100), textcolor = chart.fg_color, text = mult, style = label.style_label_left)[1]) // } // ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ draw_stdv(stdv1, "+1", true) draw_stdv(stdv2, "+2") draw_stdv(stdv3, "+3") draw_stdv(stdv_1, "-1") draw_stdv(stdv_2, "-2") draw_stdv(stdv_3, "-3") // } ///////////////////////////////////////////YÜZDEYLE KANAL HESAPLAMASI/////////////////// ye99 = input.int(100, 'P1', minval = 1) ye98 = input.string('Percentage') hpFilter(sye97, ye99) => var float ye96 = na ye96 := na(ye96[1]) ? sye97 : (sye97 + (ye99 - 1) * nz(ye96[1])) / ye99 ye96 // ye95 = hpFilter(close, ye99) ye92 = (close - ye95) / ye95 * 100 ye87 = close - ye95 var ye94 = array.new_float() var ye93 = array.new_float() if ye98 == 'Percentage' if ye92 > 0 array.push(ye94, ye92) else if ye92 < 0 array.push(ye93, ye92) // ye91 = array.size(ye94) > 0 ? array.avg(ye94) : na ye90 = array.size(ye93) > 0 ? array.avg(ye93) : na ye89 = ye91 / 100 * ye95 + ye95 ye88 = ye90 / 100 * ye95 + ye95 plot(ye95, title = 'M100 ', color = color.rgb(247, 178, 3), linewidth = 2, force_overlay = true) plot(ye89, title = 'H100 ', color = color.rgb(247, 178, 3), force_overlay = true, style = plot.style_line) plot(ye88, title = 'L100 ', color = color.rgb(247, 178, 3), force_overlay = true, style = plot.style_line) //////////////////////////////ATR TREND HESAPLAMASIDIR///////////////// var params = "Parameters" src55 = nz(input.source(close, title = "Source", group = params)) len55 = input.int(5, title = "ATR Len", group = params) multi55 = input.float(1.5, title = "Multi", step = 0.25, minval = 0, group = params) var cols = "Colors" up_col = input.color(color.rgb(255, 255, 255, 00), title = "Yükseliş", group = cols) down_col = input.color(color.rgb(247, 3, 3), title = "DÜşüş", group = cols) flat_col = input.color(color.rgb(0, 0, 0, 00), title = "Flat ", inline = "3", group = cols) rope_smoother(float _src55, float _threshold) => var float _rope = _src55 _move = _src55 - _rope //Movement from Rope _rope += math.max(math.abs(_move) - nz(_threshold), 0) * math.sign(_move) //Directional Movement beyond the Threshold [_rope,_rope+_threshold,_rope-_threshold] //[Rope, Upper, Lower] ///_____________________________________________________________________________________________________________________ //Calculating Rope atr99 = ta.atr(len55)*multi55 [rope,upper,lower] = rope_smoother(src55,atr99) //Directional Detection var dir = 0 dir := rope > rope[1] ? 1 : rope < rope[1] ? -1 : dir if ta.cross(src55,rope) dir := 0 //Directional Color Assignment col = dir > 0 ? up_col : dir < 0 ? down_col : flat_col //High and Low Output Lines var float c_hi = na var float c_lo = na //Counters for Accumulating Averages var float h_sum = 0 var float l_sum = 0 var int c_count = 0 //Flip-Flop var ff = 1 if dir == 0 if dir[1] != 0 h_sum := 0 l_sum := 0 c_count := 0 ff := ff * -1 h_sum += upper l_sum += lower c_count += 1 c_hi := h_sum/c_count c_lo := l_sum/c_count /// plot(rope, linewidth = 3, color = col, title = "ATR", force_overlay = true) /////////////////////////////////////////////////MACD BAR RENKLENDİRME HESAPLAMASI////////////////////// groupFrames = 'Trend Monitoring Time Frames' tf1 = input.timeframe('1', title='TF1 - Short', group=groupFrames) tf2 = input.timeframe('5', title='TF2 - Medium', group=groupFrames) tf3 = input.timeframe('15', title='TF3 - Long', group=groupFrames) statusThreshold = input.int(4, title='Min Status Matches for Candle Color', options=[1, 2, 3, 4]) //----------------------------------------- // User Inputs - Candle Color Settings //----------------------------------------- groupBody = 'Candle Color: Body' sbBodyColor = input.color(color.white, title='KESİN AL', group=groupBody) bullBodyColor = input.color(color.rgb(255, 255, 255, 100), title='AL', group=groupBody) baseBodyColor = input.color(color.rgb(4, 4, 4), title='DİKKAT ET', group=groupBody) bearBodyColor = input.color(color.rgb(255, 82, 82, 100), title='SAT', group=groupBody) sbearBodyColor = input.color(color.rgb(255, 82, 82, 100), title='KESİN SAT', group=groupBody) ghostBodyColor = input.color(color.rgb(223, 64, 251, 100), title='TREND YOK', group=groupBody) groupBorder = 'Candle Color: Border & Wick' sbBorderColor = input.color(color.white, title='KESİN AL', group=groupBorder) bullBorderColor = input.color(color.rgb(255, 255, 255, 100), title='AL', group=groupBorder) baseBorderColor = input.color(color.rgb(4, 4, 4), title='DİKKAT ET', group=groupBorder) bearBorderColor = input.color(color.rgb(255, 82, 82, 100), title='SAT', group=groupBorder) sbearBorderColor = input.color(color.rgb(255, 82, 82, 100), title='KESİN SAT', group=groupBorder) ghostBorderColor = input.color(color.rgb(223, 64, 251, 100), title='TREND YOK', group=groupBorder) //----------------------------------------- // User Inputs - MACD Settings (at bottom per request) //----------------------------------------- groupMACD = 'MACD Settings' macdFastLen = input.int(20, title='MACD Fast Length', minval=1, group=groupMACD) macdSlowLen = input.int(40, title='MACD Slow Length', minval=1, group=groupMACD) macdSignalLen = input.int(5, title='MACD Signal Smoothing', minval=1, group=groupMACD) maType = input.string('EMA', title='MACD MA Type', options=['EMA', 'SMA', 'WMA'], group=groupMACD) //----------------------------------------- // MACD Calculation Function //----------------------------------------- calcMACD(_src, _fastLen, _slowLen, _signalLen) => fastMA = maType == 'EMA' ? ta.ema(_src, _fastLen) : maType == 'SMA' ? ta.sma(_src, _fastLen) : ta.wma(_src, _fastLen) slowMA = maType == 'EMA' ? ta.ema(_src, _slowLen) : maType == 'SMA' ? ta.sma(_src, _slowLen) : ta.wma(_src, _slowLen) macdValue = fastMA - slowMA signalLine = maType == 'EMA' ? ta.ema(macdValue, _signalLen) : maType == 'SMA' ? ta.sma(macdValue, _signalLen) : ta.wma(macdValue, _signalLen) hist = macdValue - signalLine [macdValue, signalLine, hist, fastMA, slowMA] //----------------------------------------- // MACD (10m) Logic //----------------------------------------- [macdLine, signalLine, macdHist, _, _] = request.security(syminfo.tickerid, '10', calcMACD(close, macdFastLen, macdSlowLen, macdSignalLen)) macdBullish = macdLine > signalLine macdStrong = macdBullish and macdLine > -0.25 and signalLine > -0.25 macdSuperBear = not macdBullish and macdLine < -0.25 and signalLine < -0.25 macdNeutral = not macdBullish and macdLine > -0.025 and signalLine > -0.025 and not macdSuperBear macdText = macdStrong ? 'SUPERBULL' : macdSuperBear ? 'SUPERBEAR' : macdNeutral ? 'Basing' : macdBullish ? 'Bullish' : 'Bearish' //----------------------------------------- // Timeframe Status Function //----------------------------------------- f_getStatus(tf) => [smaHigh, smaLow] = request.security(syminfo.tickerid, tf, [ta.sma(high, 20), ta.sma(low, 20)]) [macdLine_tf, signalLine_tf, _, fastMA_tf, slowMA_tf] = request.security(syminfo.tickerid, tf, calcMACD(close, macdFastLen, macdSlowLen, macdSignalLen)) price_tf = request.security(syminfo.tickerid, tf, close) macdBullish_tf = macdLine_tf > signalLine_tf aboveSMAs = price_tf > smaHigh and price_tf > smaLow belowSMAs = price_tf < smaHigh and price_tf < smaLow belowMAs = macdLine_tf < fastMA_tf and signalLine_tf < slowMA_tf status = '' statusColor = color.gray if aboveSMAs and macdBullish_tf and macdLine_tf > -0.025 status := 'SUPERBULL' else if belowSMAs and not macdBullish_tf and macdLine_tf < -0.025 and belowMAs status := 'SUPERBEAR' else if macdLine_tf > -0.025 and not macdBullish_tf status := 'Basing' else if aboveSMAs and macdBullish_tf status := 'Bullish' else if not aboveSMAs and not macdBullish_tf status := 'Bearish' [status, statusColor] //----------------------------------------- // Timeframe Status Logic //----------------------------------------- [status1, color1] = f_getStatus(tf1) [status5, color5] = f_getStatus(tf2) [status15, color15] = f_getStatus(tf3) //----------------------------------------- // Status Match Count //----------------------------------------- superbullCount = (macdText == 'SUPERBULL' ? 1 : 0) + (status1 == 'SUPERBULL' ? 1 : 0) + (status5 == 'SUPERBULL' ? 1 : 0) + (status15 == 'SUPERBULL' ? 1 : 0) superbearCount = (macdText == 'SUPERBEAR' ? 1 : 0) + (status1 == 'SUPERBEAR' ? 1 : 0) + (status5 == 'SUPERBEAR' ? 1 : 0) + (status15 == 'SUPERBEAR' ? 1 : 0) basingCount = (macdText == 'Basing' ? 1 : 0) + (status1 == 'Basing' ? 1 : 0) + (status5 == 'Basing' ? 1 : 0) + (status15 == 'Basing' ? 1 : 0) bullishCount = (macdText == 'Bullish' ? 1 : 0) + (status1 == 'Bullish' ? 1 : 0) + (status5 == 'Bullish' ? 1 : 0) + (status15 == 'Bullish' ? 1 : 0) bearishCount = (macdText == 'Bearish' ? 1 : 0) + (status1 == 'Bearish' ? 1 : 0) + (status5 == 'Bearish' ? 1 : 0) + (status15 == 'Bearish' ? 1 : 0) //----------------------------------------- // Candle Coloring Logic //----------------------------------------- candleBodyColor = ghostBodyColor candleBorderWickColor = ghostBorderColor if superbullCount >= statusThreshold candleBodyColor := sbBodyColor candleBorderWickColor := sbBorderColor else if superbearCount >= statusThreshold candleBodyColor := sbearBodyColor candleBorderWickColor := sbearBorderColor else if basingCount >= statusThreshold candleBodyColor := baseBodyColor candleBorderWickColor := baseBorderColor else if bullishCount >= statusThreshold candleBodyColor := bullBodyColor candleBorderWickColor := bullBorderColor else if bearishCount >= statusThreshold candleBodyColor := bearBodyColor candleBorderWickColor := bearBorderColor plotcandle(open, high, low, close, title='BAR', color=candleBodyColor, bordercolor=candleBorderWickColor, wickcolor=candleBorderWickColor) /////////////////////FİBO RSİ MAS İMZA ///////////////////////////////// //@version=6 var table logo = table.new(position.bottom_center, 1, 1) if barstate.islast table.cell(logo, 0, 0, '@yörük@ YATIRIM TAVSİYESİ OLARAK KULLANILAMAZ. @yörük@ ', text_size = size.normal, text_color = color.rgb(218, 241, 5)) //@version=6 import TradingView/ta/10 xx14 = ta.ema(hl2, 1) - ta.ema(hl2, 41) yy14 = math.abs(xx14) <= 0 var int zz14 = 0 if barstate.isconfirmed if yy14 zz14 := xx14 >= 0 ? 1 : xx14 <= 0 ? -1 : zz14[1] else zz14 := xx14 >= 0 ? 1 : xx14 <= 0 ? -1 : zz14[1] mf14 = zz14 == 1 ? color.lime : zz14 == -1 ? color.red : color.gray bgcolor(color.new(mf14,60)) smaHigh = ta.sma(high, 3) smaLow = ta.sma(low, 3) mf=(smaHigh+smaLow)/2 plot(mf, title = '@yörük@ ', color = #fd07f500, linewidth = 2) type_ma = input.string("EMA", "Type", options = ["SMA", "EMA"], group = "MA") length98 = input.int(3, "Length", inline = "ma", group = "MA") source98 = input.source(close, "", inline = "ma", group = "MA") grp98 = "MA Shift Oscillator" osc_len = input.int(15, "Length", group = grp98, inline = "osc") osc_threshold = input.float(0.5, "", step = 0.1, group = grp98, inline = "osc") osc_col_up2 = input.color(color.rgb(255, 255, 255, 100), "", inline = "c", group = "color") osc_col_dn2 = input.color(color.rgb(0, 0, 0, 100), "", inline = "c", group = "color") ma(source98, length98, MAtype) => switch MAtype "SMA" => ta.sma(source98, length98) "EMA" => ta.ema(source98, length98) // MA MA = ma(source98, length98, type_ma) color98 = source98 >= MA ? osc_col_up2 : osc_col_dn2 plot(MA, "MAS", color=color98, force_overlay = true, linewidth = 1) renk = input(true) grp1 = "Indicator Settings" src44 = input.source(hlc3, "Source", group=grp1, tooltip="Price source used for band calculations", display = display.data_window) len44 = input.int(3, "Length", group=grp1, tooltip="Length for the basis calculation", display = display.data_window) basis = ta.ema(ta.ema(src44, len44), len44) plot(basis, title = 'FİBO', style = plot.style_linebr, color = renk ? basis > close ? color.rgb(0, 0, 0, 100) : color.rgb(255, 255, 255, 100) : color.silver, linewidth = 2) ///////////////////////////////

https://www.tradingview.com/x/igsvpH1h/ x100
https://www.tradingview.com/x/MaEnLAGx/ s1
https://www.tradingview.com/x/r8OfhpiV/ ons
https://www.tradingview.com/x/1psf6DGY/ btc
https://www.tradingview.com/x/Gbj6p3T8/ djı
https://www.tradingview.com/x/nidPtrX3/ wtı
https://www.tradingview.com/x/Db0jS01B/ usdjpy
https://www.tradingview.com/x/P36Iu7OU/ thy
https://www.tradingview.com/x/j8o1SbKn/ ereg
https://www.tradingview.com/x/hNphhcF6/ ykb
https://www.tradingview.com/x/f98cKy7Q/ kchol
https://www.tradingview.com/x/2QATrhfi/ tuprs

x100 tr teknik..... https://tr.tradingview.com/chart/Mg4WFy0B/
mevsimsellik..... https://tr.tradingview.com/chart/Mg4WFy0B/

https://www.tradingview.com/x/pYJw0Rnm/ 5 dakkalıkta...kanal altında...
gün sonuna m100-h100 arasında sonlanabilir gibi...

https://www.tradingview.com/x/s3mjWn9u/ kanal medyanından tepki gelebilir....
eğer gelirse...saatlik kanal tepeye yönlenebilir....https://www.tradingview.com/x/UWgqP3I4/

günlükte atr üstünde hedefler.....1-5-6-4..... https://www.tradingview.com/x/2200kw0y/

https://www.tradingview.com/x/H4g5OovN/

https://www.tradingview.com/x/FodwBC1n/

115k altında 112k potada....
eğer 112k kırılırsa....
96k-103k arasında dönüş işareti aranır gibi...

özel bir tasarım....
6lı sar paketi...ikişerli üç grup....x1-x2 kısa, y1-y2 orta ve z1-z2 uzzun vade mantığyla ve birbiriyle ilişkili kendi içinde döngülü......
bu yıllardır kullandığım...ana sitemim...ve bunu tradingviewde versiyon 2 ile kullanırım....
sarlar...desttek direnç ve döngüler için....

gelelim grafik ekranına....fiyat hareketi çizgi sarı renk...gözükmüyor....

tasarımın önemli kısmı ise...
mtf bar olayını çizdirmek.....high low ve open kullanarak....1-5-15 dak, 1-4 saat ve gün....
ve en küçük periyottan... büyüğe doğru renk ayarlaması yapılmış....
boylece kanallama yapılmış ve bar içi döngüler rahat izleniyor.....
yani barın içinde tüm periyotları görme olayı...

bknz...
https://www.tradingview.com/x/mM6kzhf6/
https://www.tradingview.com/x/GedTsXF6/
https://www.tradingview.com/x/OvHBBbkK/

kullanımı 1-5 dakkalık grafik....

bu özel tasarım...içinde sar kullanımı tecrübesiyle...evlada aktarmaya çalıştım....
ancak sarların döngüsündeki hareketi....olasılık ihtimallerini anlatmak kolay ama
anlamada zorluk çekti....

bana dedi...yeni v6 versiyonda....özel kombin yapmamı istedi....
beraber istediğini sordum....

ilk dediği...ben 5 dakkalık grafik dışında...başka periyota bakmam...kafam karışıyor dedi....

asıl kısım ise ben al-sat yapıp....kazancı yemek istiyom....demesin mi....

tamam dedim...

5 dakkalık grafiğime...özel sar değerimle... tüm periyotları tablo olarak ekledim....

barın....kendi trendi ölçen....bar renklendirme yaptım...ama bunun sadece dönüş içeren durumlarını...border ve fitil ekledim....

pulback için...son 10 barın hareketini... reversal dönüşünü ekledim....

özel atr ekleyip....trendi görmesini sağladım...beyaz up-siyah nötr-kırmızı down olacak şekilde....
bu atr biraz yavaşlattım ki....

böylece fibo döngüye, mas döngüye ve yörük adındaki 10günlük sma yüksek -düşük toplaamının yarısını hesaplatıp....

atr ile beraber bu dörtlüyü....aynı renk değişimine baağladdm...

beyaz al...siyah sat şeklinde....

bknz...
https://www.tradingview.com/x/pzvSDWjM/
https://www.tradingview.com/x/rIeN4q5D/
https://www.tradingview.com/x/Kww97sv1/

öncekiyle birleşince......
https://www.tradingview.com/x/yLAxBx9g/

tradingviewde hesabı açtık...şimdilik free olandan....

henüz yatırım hesabı açıp...ilişkilendirme yapılmadı....bu yüzden canlı veri alamıyor...

https://www.tradingview.com/x/fs9Fq8K8/

şimdi tasarım görüntüleri( normalde yalnızca 1-5 dakkalık kullanılıyor)

x100 için
haf https://www.tradingview.com/x/XkWwp97F/
gün https://www.tradingview.com/x/qWdzGOMJ/
h4 https://www.tradingview.com/x/XkXj5oti/
h1 https://www.tradingview.com/x/Mw1qwyaV/
15dak https://www.tradingview.com/x/89hTnOjm/
5dak https://www.tradingview.com/x/fXvuarx0/

ve canlı olan btc için
haf https://www.tradingview.com/x/GXp1m2zT/
gün https://www.tradingview.com/x/UfzL9ngk/
h4 https://www.tradingview.com/x/e1RKJ644/
h1 https://www.tradingview.com/x/kENGxwno/
15dak https://www.tradingview.com/x/eC9L4J7X/
5dak https://www.tradingview.com/x/07qLDR9i/

z kuşağı farklı....
aslında en sade kullanımım elmas grafik okumak....ve yalnızca atr ile....
sar döngülerim vazgeçilmez.....

https://www.tradingview.com/x/zyO7tVpo/
https://www.tradingview.com/x/L9vcv0ST/

usd bakış
https://www.tradingview.com/x/xsLHgfNe/
https://www.tradingview.com/x/1GbegGfU/
https://www.tradingview.com/x/PuGFB7DR/

ath 510 usd...şimdi ise 300usd-350usd lik trend peşindeyiz...

takibe alınan
https://www.tradingview.com/x/iKffq1XB/
https://www.tradingview.com/x/V5CrIlkX/

https://www.tradingview.com/x/i7xmyBnE/
https://www.tradingview.com/x/F4MBBt1J/

https://tr.tradingview.com/script/5a...ne-ChartPrime/
rsi nın 70 ve 30 olduğu yerleri gösteriyor

https://www.tradingview.com/x/rmVcdZBk/

https://tr.tradingview.com/script/WC...tor-Zeiierman/

range aralığını hesaplıyor ve konsolide kısmın kırılımını gösteriyor

https://tr.tradingview.com/script/TN...oint-Dynamics/

dinamik dönüş noktalarını hesaplatmış....

https://tr.tradingview.com/script/Ns...Camarilla-MCF/

pivot hesaplaması

https://tr.tradingview.com/script/EJ...bability-Tool/

hareketli ortalama ile oluşacak barın olasılığını hesaplıyor...

https://tr.tradingview.com/script/6W...ile-BigBeluga/