ล้ำจัด ใช้เทคนิคTriple Confirmation Kernel ช่วยหาจังหวะเข้าซื้อขายหุ้น บอกเลย บอกได้ครอบคลุมมากๆ เพราะใช้indicatorถึง3ตัวในการช่วยconfirmสัญญาณ

  1. เทคนิคของ Indicator:
    • ใช้วิธีการ Kernel Regression ในสามแบบเพื่อสร้าง Oscillator ที่ครอบคลุม.
    • มี Overlay Indicator เพิ่มเติมเพื่อเพิ่มความมั่นใจในสัญญาณ.
    • ตรวจจับโซน Oversold และ Overbought ด้วยการใช้ Standard Deviation.
    • ใช้ Epanechnikov, Wave, และ Logistic Kernel Regressions ในการประมวลผลข้อมูล.
  2. บอกสัญญาณซื้อและขาย:
    • ซื้อ: เมื่อทั้ง Overlay และ KRO แสดงสัญญาณโซน Oversold, มีโอกาสสูงที่จะเกิดการกลับตัวของแนวโน้ม.
    • ขาย: เมื่อทั้ง Overlay และ KRO แสดงสัญญาณโซน Overbought, มีโอกาสสูงที่แนวโน้มจะอ่อนแอลงหรือเกิดการกลับตัว.

ใช้งานในโปรแกรม TradingView https://www.tradingview.com/?aff_id=134641

เปิดบัญชีทดลอง: การเริ่มต้นของ Passive Income https://bit.ly/3Sdkir2

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © QuantraAI // ,/((((((((((((((((((, // *(((/. * ./(((/ // (((* .(((((((( , ,((( // /* .((/ ,((* /*. ,, *((, // (. ((/ / ,(* .,*****,. /( *(( // ( ((. *(. *((* ,((( . (( // (* ((. (* /(, ,((. ((/ .(( *( / (( // ( ,(/ (* *(. // *( (( (* * ,(/ // .( (( *( (( ( /( / (( // .( (( (, .( (* ( .(. (( (( // ( /(. (, (/ *( &@@@@@@ ( &@% *( ,( (( // /. (/ // (/ *@@.@@@@ @@,( ,# ,( *( *(* // ( (( ( .( ,* @@@.*,@@@@@*( .% ,@@%@@/ (( (* (, (( ██████╗ ██╗ ██╗ █████╗ ███╗ ██╗ ████████╗ ██████╗ █████╗ // ( (( , ,( (* (. ,@@@&@@@@@@@@*( & ( ( ,( /( ██╔═══██╗ ██║ ██║ ██╔══██╗ ████╗ ██║ ╚══██╔══╝ ██╔══██╗ ██╔══██╗ // ,* (/ * (( ( ( @@@(*@@@@(/@@% ( .* ( ( *(. ██║ ██║ ██║ ██║ ███████║ ██╔██╗ ██║ ██║ ██████╔╝ ███████║ // ,/ (( (( ( .@@@@##%@@@@@@@*( %& ( / *( .( ██║▄▄ ██║ ██║ ██║ ██╔══██║ ██║╚██╗██║ ██║ ██╔══██╗ ██╔══██║ // ( (( ( *( @@@@@@@@@@ @@@*( ......(, *( * (( /, ╚██████╔╝ ╚██████╔╝ ██║ ██║ ██║ ╚████║ ██║ ██║ ██║ ██║ ██║ // ( ,(, (. ( ( .@@%,@% %@@@@@*(,@@@@ %...@@, ( , (/ ( ╚══▀▀═╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═══╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝ // ./ (( ( ( (. *@@@ @@@@/(@@*( @ (. (( */ // /, (( ( (, ,*@@@@@@@@ ( @@@ ( /(. ( // (, (( (. ,( (@@( ( (/ . /(, ( // (* (( , *( *( ( (( .( (( .( // .( /(/ . (( (/ (( , /( ,(( /* // /* ((* . *( .(/ *((. .(( .( // (, ((( (( /(((((( /. (( ( *(( ( // // .((* , .((. ./(((/*. /((/. ((, ((/ *( // (* .((( /(((*. .,(((/. / *((/ .(. // (( *(((* ( . , ,(((/ /(. // /(, .((((((*, .*((((((, .((. // ,(((, ,/((, // // // // //@version=5 indicator("Triple Confirmation Kernel Regression Oscillator Base [QuantraAI]", "ᏦᏒᎧ 𝐁𝐚𝐬𝐞 [QuantraAI]", false, timeframe = "", timeframe_gaps = false) var string KRS = "ᏦᏒᎧ 𝐁𝐚𝐬𝐞 - Settings", var string KRU = "ᏦᏒᎧ 𝐁𝐚𝐬𝐞 - UI" // Kernel Regression Settings source = input.source(close, "Source", group = KRS) bandwidth = input.int (45, "Bandwidth", 1, group = KRS, tooltip = "Length of the Kernel Regression calculation") sdLook = input.int (150, "Standard Deviation Lookback", group = KRS, tooltip = "Length of the SD bands lookback period") sdMult = input.float (2, "Standard Deviation Extreme for OB/OS Border", group = KRS, tooltip = "Defines the outer border of the SD bands. \nThe inner border begins at 50% of the SD Multiplier", step = 0.5) Mean = input.bool (false, "Use 0 as Mid Line? ", group = KRS, tooltip = "Dynamic Mid Line") ColMode = input.string("Modern", "Color Palette Choice", ["Classic", "Modern", "Robust", "Accented", "Monochrome"], group = KRU, inline = "drop") man = input.bool (false, "Custom Palette", group = KRU, inline = "drop") manUpC = input.color (#00ff00, "Custom Up", group = KRU, inline = "man") manDnC = input.color (#ff0000, "Custom Down", group = KRU, inline = "man") BCol = input.bool (true, "Enable Bar Coloring", group = KRU) OBOS = input.bool (true, "Enable Overbought/Oversold Shading", group = KRU) TR = input.int (85, "Shading Transparency", 0, 100, group = KRU) // Initialize color variables var color UpC = na var color DnC = na var color BgC = na // Assign colors based on the selected color mode if ColMode == "Classic" UpC := color.lime DnC := color.maroon BgC := color.green if ColMode == "Modern" UpC := #5ffae0 DnC := #c22ed0 BgC := #9ef6fb if ColMode == "Robust" UpC := #ffbb00 DnC := #770737 BgC := #a23061 if ColMode == "Accented" UpC := #9618f7 DnC := #ff0078 BgC := #801155 if ColMode == "Monochrome" UpC := #dee2e6 DnC := #495057 BgC := #212529 // Switch to manual palette if selected [UpCol, DnCol] = switch man false => [UpC, DnC] true => [manUpC, manDnC] // // // Functions // // // kernel(source, bandwidth, kernel_type) => switch kernel_type "Epanechnikov" => math.abs(source) <= 1 ? 0.75 * (1 - math.pow(source, 2)) : 0.0 "Logistic" => 1/math.exp(source + 2 + math.exp(-source)) "Wave" => math.abs(source) <= 1 ? (1 - math.abs(source)) * math.cos(math.pi * source) : 0. kernelRegression(src, bandwidth, kernel_type) => sumWeightedY = 0. sumKernels = 0. for i = 0 to bandwidth - 1 base = i*i/math.pow(bandwidth, 2) kernel = kernel(base, 1, kernel_type) sumWeightedY += kernel * src[i] sumKernels += kernel (src - sumWeightedY/sumKernels)/src // Triple Confirmations Ep = kernelRegression(source, bandwidth, 'Epanechnikov' ) Lo = kernelRegression(source, bandwidth, 'Logistic' ) Wa = kernelRegression(source, bandwidth, 'Wave' ) // Average AV = math.avg(Ep, Lo, Wa) Mid = Mean? 0 : ta.sma(AV, sdLook) // // // Plots // // // // Base Plots plot(Ep, 'Epanechnikov', color.new(Ep > Mid ? UpCol : DnCol, 60), 1) plot(Lo, 'Logistic' , color.new(Lo > Mid ? UpCol : DnCol, 60), 1) plot(Wa, 'Wave' , color.new(Wa > Mid ? UpCol : DnCol, 60), 1) mid = plot(Mid, "Mid", color.gray, 2) // Calculate Dynamic OB/OS Zones stdv_bands(_src, _length, _mult) => float basis = ta.sma(_src, _length) float dev = _mult * ta.stdev(_src, _length) [basis, basis + dev, basis - dev] [_, u1, l1] = stdv_bands(AV, sdLook, sdMult/2) [_, u2, l2] = stdv_bands(AV, sdLook, sdMult) // Final Plots + Fill pu1 = plot(u1, "1.𝓢𝓓 +", color.new(DnCol, 70)) pl1 = plot(l1, "1.𝓢𝓓 -", color.new(UpCol, 70)) pu2 = plot(u2, "2.𝓢𝓓 +", color.new(DnCol, 70)) pl2 = plot(l2, "2.𝓢𝓓 -", color.new(UpCol, 70)) pAV = plot(AV, "ᏦᏒᎧ", AV > Mid ? UpCol : DnCol, 2) fill(mid, pAV, AV, Mid,color.new (AV > Mid ? UpCol : DnCol, 50), color.new(chart.bg_color, 75)) fill(pu1, pu2, u2, u1, color.new(DnCol, 60), color.new(chart.bg_color, 55)) fill(pl1, pl2, l2, l1, color.new(UpCol, 60), color.new(chart.bg_color, 55)) bgcolor (OBOS ? (AV > u2 ? color.new(DnCol, TR) : AV < l2 ? color.new(UpCol, TR) : na) : na) barcolor(BCol ? (AV > Mid ? UpCol : DnCol) : na) // Alerts symbol = "ᏦᏒᎧ 𝐁𝐚𝐬𝐞 [QuantraAI] >>> {{exchange}}:{{ticker}}" // Trend Following Alerts alertcondition(AV > Mid and AV[1] <= Mid, "Trend Up", symbol + " Trend Following - Long Entry!" ) alertcondition(AV < Mid and AV[1] >= Mid, "Trend Down", symbol + " Trend Following - Short Entry!" ) // Extremity Alerts alertcondition(AV < l2, "Extremes - OS Zone", symbol + " Extreme - OS Zone!" ) alertcondition(AV > u2, "Extremes - OB Zone", symbol + " Extreme - OB Zone!" )

https://www.tradingview.com/script/tQ7O9bpf-Triple-Confirmation-Kernel-Regression-Base-QuantraAI/

ใส่ความเห็น

อีเมลของคุณจะไม่แสดงให้คนอื่นเห็น ช่องข้อมูลจำเป็นถูกทำเครื่องหมาย *