Printable View
https://tr.tradingview.com/script/lu...nge-Filter-DW/
Range Filter [DW]
99 yorum... bu script için..... görüntü bu...https://www.tradingview.com/x/w0cOQZC7/
benim üstte yaptýðým kombine....https://www.tradingview.com/x/XaHWsqI3/
ikisinin karþýlaþtýrmasý...https://www.tradingview.com/x/IuReVFoK/ sarý renklendirildi....
https://tr.tradingview.com/script/C3...T3-ChartPrime/
RSI-Adaptive T3 [ChartPrime]
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/
// © ChartPrime
//@version=6
indicator('RSI-Adaptive T3 [ChartPrime]', overlay = true)
// --------------------------------------------------------------------------------------------------------------------}
// 📌 𝙐𝙎𝙀𝙍 𝙄𝙉𝙋𝙐𝙏𝙎
// --------------------------------------------------------------------------------------------------------------------{
src = close
rsiLen = input.int(14, 'RSI Length', group = "T3")
minLen = input.int(5, 'Min T3 Length', group = "T3")
maxLen = input.int(50, 'Max T3 Length', group = "T3")
v = input.float(0.7, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// --------------------------------------------------------------------------------------------------------------------}
// 📌 𝙄𝙉𝘿𝙄𝘾𝘼𝙏𝙊𝙍 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎
// --------------------------------------------------------------------------------------------------------------------{
// Step 1: Adaptive length via RSI
rsi = ta.rsi(src, rsiLen)
rsi_scale = 1 - rsi / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src : alpha * src + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
// --------------------------------------------------------------------------------------------------------------------}
// 📌 𝙑𝙄𝙎𝙐𝘼𝙇𝙄𝙕𝘼𝙏𝙄𝙊𝙉
// --------------------------------------------------------------------------------------------------------------------{
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
fill(pt31, pt32, color.new(t3_col, 90))
pu = plot(t3 + stdv, "Upper Volatility Band", style = plot.style_cross, color = vol_col, display = show_bands ? display.all : display.none)
pl = plot(t3 - stdv, "Lower Volatility Band", style = plot.style_cross, color = vol_col, display = show_bands ? display.all : display.none)
fill(pu, pl, color.new(vol_col, 95), display = show_bands ? display.all : display.none)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "🞛", location.absolute, t3_col)
if barstate.islast
tbl = table.new(position.middle_right, 10, 10)
tbl.cell(0, 1, '', text_color = chart.fg_color, text_halign = text.align_right)
tbl.cell(1, 1, '▼' + str.tostring(maxLen), text_color = color_up)
tbl.cell(0, 3, '', text_color = chart.fg_color, text_halign = text.align_right)
tbl.cell(1, 3, '▲' + str.tostring(minLen), text_color = color_dn)
tbl.cell(0, 2, 'RSI Adaptive Length:', text_color = chart.fg_color)
tbl.cell(1, 2, str.tostring(len), text_color = color.from_gradient(len, minLen, maxLen, color_dn, color_up))
// --------------------------------------------------------------------------------------------------------------------}
https://tr.tradingview.com/script/tH...trength-Index/
Directional Strength Index
PHP Code://@ Julien_Eche
//@version=6
indicator("Directional Strength Index", overlay=true, max_labels_count=500)
length = input.int(20, title="SMEMA Length")
table_size = input.string("normal", title="Table Size", options=["small", "normal", "large"])
table_text_size = table_size
show_deviation_lines = input.bool(true, title="Show Deviation Levels")
show_tf_cells = input.bool(true, title="Show All Timeframes")
approach = input.string("Long Term", title="Overall Trend Weighting", options=["Long Term", "Swing Trading", "Short Term"])
color_bull = input.color(#00897B, title="Bull Color", inline="col")
color_bear = input.color(#C0392B, title="Bear Color", inline="col")
color_neutral = input.color(#C49A6C, title="Neutral Color", inline="col")
get_trend_arrow(score) => score >= 0.5 ? "➚" : score <= -0.5 ? "➘" : "➡"
get_trend_strength(score) => str.tostring(math.round(math.abs(score))) + "/10"
trend_col(score) => score > 0.5 ? color_bull : score < -0.5 ? color_bear : color_neutral
get_dynamic_color(score, alpha) => color.new(trend_col(score), alpha)
get_band_color(level, src, score, is_upper, col_bull, col_bear) =>
r = math.abs(src - level) / ta.percentile_linear_interpolation(math.abs(src - level), 400, 100)
c = score > 0 and is_upper ? col_bull : score < 0 and not is_upper ? col_bear : na
result = na(c) ? na : r <= 0.03 ? color.new(c, 96) : r <= 0.06 ? color.new(c, 90) : r <= 0.10 ? color.new(c, 80) : r <= 0.15 ? color.new(c, 68) : r <= 0.20 ? color.new(c, 55) : r <= 0.27 ? color.new(c, 42) : r <= 0.35 ? color.new(c, 30) : color.new(c, 18)
result
get_score_internal() =>
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
slope = sm - sm_prev
slope_ratio = slope / sm
slope_ratio := slope_ratio > 0.1 ? 0.1 : slope_ratio < -0.1 ? -0.1 : slope_ratio
slope_weight = 1.0 + slope_ratio * 10.0
bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
raw_score = (bull - bear) * 10.0 / 3.0
adjusted_score = raw_score * slope_weight
adjusted_score := adjusted_score > 10.0 ? 10.0 : adjusted_score < -10.0 ? -10.0 : adjusted_score
adjusted_score
get_score(tf) => request.security(syminfo.tickerid, tf, get_score_internal(), lookahead=barmerge.lookahead_on)
score_1H = get_score("60")
score_4H = get_score("240")
score_1D = get_score("D")
score_3D = get_score("3D")
score_1W = get_score("W")
score_1M = get_score("M")
w_1H = approach == "Short Term" ? 0.35 : approach == "Swing Trading" ? 0.10 : 0.03
w_4H = approach == "Short Term" ? 0.30 : approach == "Swing Trading" ? 0.15 : 0.07
w_1D = approach == "Short Term" ? 0.20 : approach == "Swing Trading" ? 0.25 : 0.20
w_3D = approach == "Short Term" ? 0.10 : approach == "Swing Trading" ? 0.25 : 0.25
w_1W = approach == "Short Term" ? 0.05 : approach == "Swing Trading" ? 0.15 : 0.35
w_1M = approach == "Short Term" ? 0.00 : approach == "Swing Trading" ? 0.10 : 0.10
global_score = score_1H * w_1H + score_4H * w_4H + score_1D * w_1D + score_3D * w_3D + score_1W * w_1W + score_1M * w_1M
label = "Global " + (approach == "Long Term" ? "LT" : approach == "Swing Trading" ? "SW" : "ST")
var table stats_table = table.new(position=position.top_right, columns=3, rows=8, frame_color=color.new(color.gray, 70), frame_width=1, border_width=0)
table.set_bgcolor(stats_table, color.new(color.rgb(26, 26, 26), 0))
if barstate.islast
table.cell(stats_table, 0, 0, "Timeframe", text_color=color.gray, text_size=table_text_size)
table.cell(stats_table, 1, 0, "Trend", text_color=color.gray, text_size=table_text_size)
table.cell(stats_table, 2, 0, "Strength", text_color=color.gray, text_size=table_text_size)
row_idx = 1
if show_tf_cells
for i = 0 to 5
tf = i == 0 ? "1H" : i == 1 ? "4H" : i == 2 ? "1D" : i == 3 ? "3D" : i == 4 ? "1W" : "1M"
sc = i == 0 ? score_1H : i == 1 ? score_4H : i == 2 ? score_1D : i == 3 ? score_3D : i == 4 ? score_1W : score_1M
table.cell(stats_table, 0, row_idx, tf, text_color=color.gray, text_size=table_text_size)
table.cell(stats_table, 1, row_idx, get_trend_arrow(sc), text_color=trend_col(sc), text_size=table_text_size)
table.cell(stats_table, 2, row_idx, get_trend_strength(sc), text_color=trend_col(sc), text_size=table_text_size)
row_idx := row_idx + 1
table.cell(stats_table, 0, row_idx, label, text_color=color.silver, text_size=table_text_size)
table.cell(stats_table, 1, row_idx, get_trend_arrow(global_score), text_color=trend_col(global_score), text_size=table_text_size)
table.cell(stats_table, 2, row_idx, get_trend_strength(global_score), text_color=trend_col(global_score), text_size=table_text_size)
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
sm_bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
sm_bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
sm_score = (sm_bull - sm_bear) * 10.0 / 3.0
slope = sm - sm_prev
slope_ratio = slope / step
slope_ratio := slope_ratio > 2.0 ? 2.0 : slope_ratio < -2.0 ? -2.0 : slope_ratio
slope_weight = 1.0 + slope_ratio * 0.25
adjusted_sm_score = sm_score * slope_weight
adjusted_sm_score := adjusted_sm_score > 10.0 ? 10.0 : adjusted_sm_score < -10.0 ? -10.0 : adjusted_sm_score
plot(show_deviation_lines ? sm + step * 3 : na, color=get_band_color(sm + step * 3, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step * 2 : na, color=get_band_color(sm + step * 2, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step : na, color=get_band_color(sm + step , close, adjusted_sm_score, true, color_bull, color_bear))
plot(sm, color=get_dynamic_color(adjusted_sm_score, 0), title="SMEMA", linewidth=2)
plot(show_deviation_lines ? sm - step : na, color=get_band_color(sm - step , close, adjusted_sm_score, false, color_bull, color_bear))
plot(show_deviation_lines ? sm - step * 2 : na, color=get_band_color(sm - step * 2, close, adjusted_sm_score, false, color_bull, color_bear))
plot(show_deviation_lines ? sm - step * 3 : na, color=get_band_color(sm - step * 3, close, adjusted_sm_score, false, color_bull, color_bear))
https://www.tradingview.com/x/Fbs3GFVX/PHP Code://@version=6
indicator(title = 'Master Trend BUY&SELL', shorttitle = '.', overlay = true, max_labels_count=500)
////
// === Inputs ===
fairLen = input.int(50, "Fair Value EMA Length")
zLen = input.int(100, "Z-Score Lookback Length")
zThreshold = input.float(3.0, "Z-Score Threshold")
src = input.source(close, "Source")
rsiLen = input.int(14, "RSI Length")
rsiEmaLen = input.int(7, "EMA of RSI Slope")
colorMode = input.string("None", "Bar Coloring Mode", options=[
"None",
"Reversal Solid",
"Reversal Fade",
"Exceeding Bands",
"Classic Heat"
])
enableSignals = input.bool(false,'Show Signals')
// === Smooth RGB Gradient Function
f_colorGradient(_ratio, _colA, _colB) =>
rA = color.r(_colA)
gA = color.g(_colA)
bA = color.b(_colA)
rB = color.r(_colB)
gB = color.g(_colB)
bB = color.b(_colB)
rr = rA + int((rB - rA) * _ratio)
rg = gA + int((gB - gA) * _ratio)
rb = bA + int((bB - bA) * _ratio)
color.rgb(rr, rg, rb, 0)
// === Color Scheme ===
bullMain = color.new(#5CF0D7, 0)
bearMain = color.new(#B32AC3, 0)
labelTextCol = color.white
borderCol = color.white
// === Fair Value (EMA Only) ===
fair = ta.ema(src, fairLen)
// === Z-Score Deviation
dev = src - fair
devMean = ta.sma(dev, zLen)
devStdev = ta.stdev(dev, zLen)
zScore = devStdev != 0 ? (dev - devMean) / devStdev : 0
// === Z-Bands
upperBand = fair + zThreshold * devStdev
lowerBand = fair - zThreshold * devStdev
// === Re-entry Logic
wasAbove = src[1] > upperBand[1]
wasBelow = src[1] < lowerBand[1]
backInsideFromAbove = wasAbove and src <= upperBand
backInsideFromBelow = wasBelow and src >= lowerBand
// === RSI EMA Slope Filter
rsi = ta.rsi(close, rsiLen)
rsiEma = ta.ema(rsi, rsiEmaLen)
rsiSlope = rsiEma - rsiEma[1]
slopeUp = rsiSlope > 0
slopeDown = rsiSlope < 0
// === Signal Memory (One per slope)
var bool buyFiredOnSlope = false
var bool sellFiredOnSlope = false
// Reset logic when slope flips
buyReset = ta.crossover(rsiSlope, 0)
sellReset = ta.crossunder(rsiSlope, 0)
if buyReset
buyFiredOnSlope := false
if sellReset
sellFiredOnSlope := false
// Final entry conditions
finalBuy = backInsideFromBelow and slopeUp and not buyFiredOnSlope and enableSignals
finalSell = backInsideFromAbove and slopeDown and not sellFiredOnSlope and enableSignals
if finalBuy
buyFiredOnSlope := true
if finalSell
sellFiredOnSlope := true
// === Bar Coloring Modes
// Reversal Memory (for "Reversal Solid" and "Reversal Fade")
var string lastSignal = ""
if finalBuy
lastSignal := "bull"
if finalSell
lastSignal := "bear"
// Reversal Fade Tracker
var int signalAge = 0
if finalBuy or finalSell
signalAge := 0
else
signalAge += 1
// info
var string lastTrend = ""
if close > upperBand
lastTrend := "bull"
else if close < lowerBand
lastTrend := "bear"
// === Bar Coloring Logic
var color barCol = na
// 1. Reversal Solid
if colorMode == "Reversal Solid"
barCol := lastSignal == "bull" ? color.new(bullMain, 0) : lastSignal == "bear" ? color.new(bearMain, 0) : na
if colorMode == "None"
barCol := na
// 2. Reversal Fade
if colorMode == "Reversal Fade"
fade = math.min(90, signalAge * 1)
barCol := lastSignal == "bull" ? color.new(bullMain, fade) : lastSignal == "bear" ? color.new(bearMain, fade) : na
// 4. Exceeding Bands Only (only when outside bands)
if colorMode == "Exceeding Bands"
barCol := close > upperBand ? color.new(bullMain, 0) : close < lowerBand ? color.new(bearMain, 0) : na
// 5. Classic Heat — correct: strongest color near bands, fade near fair
// 5. Classic Heat — fixed: most intense near boundaries, fades toward fair
// 6. Gradient Flow — RGB blend from bull to bear based on band distance
if colorMode == "Classic Heat"
bandRange = upperBand - lowerBand
ratioRaw = (close - lowerBand) / bandRange
ratioClamped = math.max(0.0, math.min(ratioRaw, 1.0))
barCol := f_colorGradient(ratioClamped, bullMain, bearMain)
barcolor(barCol)
// === Table Position Setting
enableTable = input.bool(true,'Enable Table')
tablePos = input.string("Top Right", "Table Position", options=["Top Left", "Top Right", "Bottom Left", "Bottom Right"])
pos = tablePos == "Top Left" ? position.top_left :
tablePos == "Top Right" ? position.top_right :
tablePos == "Bottom Left" ? position.bottom_left :
position.bottom_right
// === Scoring Logic
score_z = zScore < -zThreshold ? +1 : zScore > zThreshold ? -1 : 0
score_slope = rsiSlope > 0 ? +1 : rsiSlope < 0 ? -1 : 0
score_price = close > fair ? +1 : close < fair ? -1 : 0
score_trend = lastTrend == "bull" ? +1 : lastTrend == "bear" ? -1 : 0
score_reentry = finalBuy ? +1 : finalSell ? -1 : 0
// === Score Aggregation
totalScore = score_z + score_slope + score_price + score_trend + score_reentry
scoreCount = 5
avgScore = totalScore / scoreCount
finalSignal = avgScore > 0.1 ? "AL" : avgScore < -0.1 ? "SAT" : "Nötr"
finalColor = avgScore > 0.1 ? bullMain : avgScore < -0.1 ? bearMain : color.gray
// === Shared Style
bgcolor = color.new(#000000, 0)
textCol = color.white
// === Table Drawing
if bar_index % 2 == 0 and enableTable
var table scoreTable = table.new(pos, 2, 7,frame_width = 1, border_width=1, frame_color=color.white, border_color=color.white)
table.cell(scoreTable, 0, 0, "Ýnd", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 0, "Puan", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 1, "Z-Score", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 1, str.tostring(score_z), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 2, "RSI", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 2, str.tostring(score_slope), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 3, "Fiyat", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 3, str.tostring(score_price), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 4, "Trend ", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 4, str.tostring(score_trend), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 5, "R Giriþ", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 5, str.tostring(score_reentry),bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 6, "Sonuç", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 6, finalSignal, bgcolor=bgcolor, text_color=finalColor)
table.cell_set_text_font_family(scoreTable,0,0,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,0,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,1,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,1,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,2,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,2,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,3,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,3,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,4,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,4,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,5,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,5,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,6,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,6,font.family_monospace)
/////////////////
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(rsi, 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)
/////////////
src77 = close
rsiLen77 = input.int(1, 'RSI Length', group = "T3")
minLen = input.int(3, 'Min T3 Length', group = "T3")
maxLen = input.int(5, 'Max T3 Length', group = "T3")
v = input.float(0.34, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// Step 1: Adaptive length via RSI
rsi77 = ta.rsi(src77, rsiLen77)
rsi_scale = 1 - rsi77 / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src : alpha * src + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "🞛", location.absolute, t3_col)
////////////
//@ Julien_Eche
//@version=6
length = input.int(20, title="SMEMA Length")
table_size = input.string("normal", title="Table Size", options=["small", "normal", "large"])
table_text_size = table_size
show_deviation_lines = input.bool(true, title="Show Deviation Levels")
show_tf_cells = input.bool(true, title="Show All Timeframes")
approach = input.string("Swing Trading", title="Overall Trend Weighting", options=["Long Term", "Swing Trading", "Short Term"])
color_bull = input.color(#ecf405, title="Bull Color", inline="col")
color_bear = input.color(color.rgb(5, 29, 247), title="Bear Color", inline="col")
color_neutral = input.color(color.rgb(205, 2, 246), title="Neutral Color", inline="col")
get_trend_arrow(score) => score >= 0.5 ? "➚" : score <= -0.5 ? "➘" : "➡"
get_trend_strength(score) => str.tostring(math.round(math.abs(score))) + "/10"
trend_col(score) => score > 0.5 ? color_bull : score < -0.5 ? color_bear : color_neutral
get_dynamic_color(score, alpha) => color.new(trend_col(score), alpha)
get_band_color(level, src, score, is_upper, col_bull, col_bear) =>
r = math.abs(src - level) / ta.percentile_linear_interpolation(math.abs(src - level), 400, 100)
c = score > 0 and is_upper ? col_bull : score < 0 and not is_upper ? col_bear : na
result = na(c) ? na : r <= 0.03 ? color.new(c, 96) : r <= 0.06 ? color.new(c, 90) : r <= 0.10 ? color.new(c, 80) : r <= 0.15 ? color.new(c, 68) : r <= 0.20 ? color.new(c, 55) : r <= 0.27 ? color.new(c, 42) : r <= 0.35 ? color.new(c, 30) : color.new(c, 18)
result
get_score_internal() =>
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
slope = sm - sm_prev
slope_ratio = slope / sm
slope_ratio := slope_ratio > 0.1 ? 0.1 : slope_ratio < -0.1 ? -0.1 : slope_ratio
slope_weight = 1.0 + slope_ratio * 10.0
bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
raw_score = (bull - bear) * 10.0 / 3.0
adjusted_score = raw_score * slope_weight
adjusted_score := adjusted_score > 10.0 ? 10.0 : adjusted_score < -10.0 ? -10.0 : adjusted_score
adjusted_score
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
sm_bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
sm_bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
sm_score = (sm_bull - sm_bear) * 10.0 / 3.0
slope = sm - sm_prev
slope_ratio = slope / step
slope_ratio := slope_ratio > 2.0 ? 2.0 : slope_ratio < -2.0 ? -2.0 : slope_ratio
slope_weight = 1.0 + slope_ratio * 0.25
adjusted_sm_score = sm_score * slope_weight
adjusted_sm_score := adjusted_sm_score > 10.0 ? 10.0 : adjusted_sm_score < -10.0 ? -10.0 : adjusted_sm_score
plot(show_deviation_lines ? sm + step * 3 : na, color=get_band_color(sm + step * 3, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step * 2 : na, color=get_band_color(sm + step * 2, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step : na, color=get_band_color(sm + step , close, adjusted_sm_score, true, color_bull, color_bear))
plot(sm, color=get_dynamic_color(adjusted_sm_score, 0), title="SMEMA", linewidth=2)
plot(show_deviation_lines ? sm - step : na, color=get_band_color(sm - step , close, adjusted_sm_score, false, color_bull, color_bear))
plot(show_deviation_lines ? sm - step * 2 : na, color=get_band_color(sm - step * 2, close, adjusted_sm_score, false, color_bull, color_bear))
plot(show_deviation_lines ? sm - step * 3 : na, color=get_band_color(sm - step * 3, close, adjusted_sm_score, false, color_bull, color_bear))
/////////////////
kombine yapýlmýþ kod...
kombin...istediðiniz gibi deðiþtirin...
PHP Code://@version=6
indicator(title = 'Master Trend BUY&SELL', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
////
// === Inputs ===
fairLen = input.int(50, "Fair Value EMA Length")
zLen = input.int(100, "Z-Score Lookback Length")
zThreshold = input.float(3.0, "Z-Score Threshold")
src = input.source(close, "Source")
rsiLen = input.int(14, "RSI Length")
rsiEmaLen = input.int(7, "EMA of RSI Slope")
colorMode = input.string("None", "Bar Coloring Mode", options=[
"None",
"Reversal Solid",
"Reversal Fade",
"Exceeding Bands",
"Classic Heat"
])
enableSignals = input.bool(false,'Show Signals')
// === Smooth RGB Gradient Function
f_colorGradient(_ratio, _colA, _colB) =>
rA = color.r(_colA)
gA = color.g(_colA)
bA = color.b(_colA)
rB = color.r(_colB)
gB = color.g(_colB)
bB = color.b(_colB)
rr = rA + int((rB - rA) * _ratio)
rg = gA + int((gB - gA) * _ratio)
rb = bA + int((bB - bA) * _ratio)
color.rgb(rr, rg, rb, 0)
// === Color Scheme ===
bullMain = color.new(#5CF0D7, 0)
bearMain = color.new(#B32AC3, 0)
labelTextCol = color.white
borderCol = color.white
// === Fair Value (EMA Only) ===
fair = ta.ema(src, fairLen)
// === Z-Score Deviation
dev = src - fair
devMean = ta.sma(dev, zLen)
devStdev = ta.stdev(dev, zLen)
zScore = devStdev != 0 ? (dev - devMean) / devStdev : 0
// === Z-Bands
upperBand = fair + zThreshold * devStdev
lowerBand = fair - zThreshold * devStdev
// === Re-entry Logic
wasAbove = src[1] > upperBand[1]
wasBelow = src[1] < lowerBand[1]
backInsideFromAbove = wasAbove and src <= upperBand
backInsideFromBelow = wasBelow and src >= lowerBand
// === RSI EMA Slope Filter
rsi = ta.rsi(close, rsiLen)
rsiEma = ta.ema(rsi, rsiEmaLen)
rsiSlope = rsiEma - rsiEma[1]
slopeUp = rsiSlope > 0
slopeDown = rsiSlope < 0
// === Signal Memory (One per slope)
var bool buyFiredOnSlope = false
var bool sellFiredOnSlope = false
// Reset logic when slope flips
buyReset = ta.crossover(rsiSlope, 0)
sellReset = ta.crossunder(rsiSlope, 0)
if buyReset
buyFiredOnSlope := false
if sellReset
sellFiredOnSlope := false
// Final entry conditions
finalBuy = backInsideFromBelow and slopeUp and not buyFiredOnSlope and enableSignals
finalSell = backInsideFromAbove and slopeDown and not sellFiredOnSlope and enableSignals
if finalBuy
buyFiredOnSlope := true
if finalSell
sellFiredOnSlope := true
// === Bar Coloring Modes
// Reversal Memory (for "Reversal Solid" and "Reversal Fade")
var string lastSignal = ""
if finalBuy
lastSignal := "bull"
if finalSell
lastSignal := "bear"
// Reversal Fade Tracker
var int signalAge = 0
if finalBuy or finalSell
signalAge := 0
else
signalAge += 1
// info
var string lastTrend = ""
if close > upperBand
lastTrend := "bull"
else if close < lowerBand
lastTrend := "bear"
// === Bar Coloring Logic
var color barCol = na
// 1. Reversal Solid
if colorMode == "Reversal Solid"
barCol := lastSignal == "bull" ? color.new(bullMain, 0) : lastSignal == "bear" ? color.new(bearMain, 0) : na
if colorMode == "None"
barCol := na
// 2. Reversal Fade
if colorMode == "Reversal Fade"
fade = math.min(90, signalAge * 1)
barCol := lastSignal == "bull" ? color.new(bullMain, fade) : lastSignal == "bear" ? color.new(bearMain, fade) : na
// 4. Exceeding Bands Only (only when outside bands)
if colorMode == "Exceeding Bands"
barCol := close > upperBand ? color.new(bullMain, 0) : close < lowerBand ? color.new(bearMain, 0) : na
// 5. Classic Heat — correct: strongest color near bands, fade near fair
// 5. Classic Heat — fixed: most intense near boundaries, fades toward fair
// 6. Gradient Flow — RGB blend from bull to bear based on band distance
if colorMode == "Classic Heat"
bandRange = upperBand - lowerBand
ratioRaw = (close - lowerBand) / bandRange
ratioClamped = math.max(0.0, math.min(ratioRaw, 1.0))
barCol := f_colorGradient(ratioClamped, bullMain, bearMain)
barcolor(barCol)
// === Table Position Setting
enableTable = input.bool(true,'Enable Table')
tablePos = input.string("Top Right", "Table Position", options=["Top Left", "Top Right", "Bottom Left", "Bottom Right"])
pos = tablePos == "Top Left" ? position.top_left :
tablePos == "Top Right" ? position.top_right :
tablePos == "Bottom Left" ? position.bottom_left :
position.bottom_right
// === Scoring Logic
score_z = zScore < -zThreshold ? +1 : zScore > zThreshold ? -1 : 0
score_slope = rsiSlope > 0 ? +1 : rsiSlope < 0 ? -1 : 0
score_price = close > fair ? +1 : close < fair ? -1 : 0
score_trend = lastTrend == "bull" ? +1 : lastTrend == "bear" ? -1 : 0
score_reentry = finalBuy ? +1 : finalSell ? -1 : 0
// === Score Aggregation
totalScore = score_z + score_slope + score_price + score_trend + score_reentry
scoreCount = 5
avgScore = totalScore / scoreCount
finalSignal = avgScore > 0.1 ? "AL" : avgScore < -0.1 ? "SAT" : "Nötr"
finalColor = avgScore > 0.1 ? bullMain : avgScore < -0.1 ? bearMain : color.gray
// === Shared Style
bgcolor = color.new(#000000, 0)
textCol = color.white
// === Table Drawing
if bar_index % 2 == 0 and enableTable
var table scoreTable = table.new(pos, 2, 7,frame_width = 1, border_width=1, frame_color=color.white, border_color=color.white)
table.cell(scoreTable, 0, 0, "Ýnd", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 0, "Puan", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 1, "Z-Score", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 1, str.tostring(score_z), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 2, "RSI", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 2, str.tostring(score_slope), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 3, "Fiyat", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 3, str.tostring(score_price), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 4, "Trend ", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 4, str.tostring(score_trend), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 5, "R Giriþ", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 5, str.tostring(score_reentry),bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 6, "Sonuç", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 6, finalSignal, bgcolor=bgcolor, text_color=finalColor)
table.cell_set_text_font_family(scoreTable,0,0,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,0,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,1,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,1,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,2,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,2,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,3,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,3,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,4,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,4,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,5,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,5,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,6,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,6,font.family_monospace)
/////////////////
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(rsi, 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,90))
//plotcandle(open,high,low,close,"Candles",color=trendColor,wickcolor = trendColor,bordercolor = trendColor,force_overlay = true)
/////////////
src77 = close
rsiLen77 = input.int(1, 'RSI Length', group = "T3")
minLen = input.int(3, 'Min T3 Length', group = "T3")
maxLen = input.int(5, 'Max T3 Length', group = "T3")
v = input.float(0.34, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// Step 1: Adaptive length via RSI
rsi77 = ta.rsi(src77, rsiLen77)
rsi_scale = 1 - rsi77 / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src : alpha * src + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "🞛", location.absolute, t3_col)
////////////
//@ Julien_Eche
//@version=6
length = input.int(20, title="SMEMA Length")
table_size = input.string("normal", title="Table Size", options=["small", "normal", "large"])
table_text_size = table_size
show_deviation_lines = input.bool(true, title="Show Deviation Levels")
show_tf_cells = input.bool(true, title="Show All Timeframes")
approach = input.string("Swing Trading", title="Overall Trend Weighting", options=["Long Term", "Swing Trading", "Short Term"])
color_bull = input.color(#ecf405, title="Bull Color", inline="col")
color_bear = input.color(color.rgb(5, 29, 247), title="Bear Color", inline="col")
color_neutral = input.color(color.rgb(205, 2, 246), title="Neutral Color", inline="col")
get_trend_arrow(score) => score >= 0.5 ? "➚" : score <= -0.5 ? "➘" : "➡"
get_trend_strength(score) => str.tostring(math.round(math.abs(score))) + "/10"
trend_col(score) => score > 0.5 ? color_bull : score < -0.5 ? color_bear : color_neutral
get_dynamic_color(score, alpha) => color.new(trend_col(score), alpha)
get_band_color(level, src, score, is_upper, col_bull, col_bear) =>
r = math.abs(src - level) / ta.percentile_linear_interpolation(math.abs(src - level), 400, 100)
c = score > 0 and is_upper ? col_bull : score < 0 and not is_upper ? col_bear : na
result = na(c) ? na : r <= 0.03 ? color.new(c, 96) : r <= 0.06 ? color.new(c, 90) : r <= 0.10 ? color.new(c, 80) : r <= 0.15 ? color.new(c, 68) : r <= 0.20 ? color.new(c, 55) : r <= 0.27 ? color.new(c, 42) : r <= 0.35 ? color.new(c, 30) : color.new(c, 18)
result
get_score_internal() =>
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
slope = sm - sm_prev
slope_ratio = slope / sm
slope_ratio := slope_ratio > 0.1 ? 0.1 : slope_ratio < -0.1 ? -0.1 : slope_ratio
slope_weight = 1.0 + slope_ratio * 10.0
bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
raw_score = (bull - bear) * 10.0 / 3.0
adjusted_score = raw_score * slope_weight
adjusted_score := adjusted_score > 10.0 ? 10.0 : adjusted_score < -10.0 ? -10.0 : adjusted_score
adjusted_score
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
sm_bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
sm_bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
sm_score = (sm_bull - sm_bear) * 10.0 / 3.0
slope = sm - sm_prev
slope_ratio = slope / step
slope_ratio := slope_ratio > 2.0 ? 2.0 : slope_ratio < -2.0 ? -2.0 : slope_ratio
slope_weight = 1.0 + slope_ratio * 0.25
adjusted_sm_score = sm_score * slope_weight
adjusted_sm_score := adjusted_sm_score > 10.0 ? 10.0 : adjusted_sm_score < -10.0 ? -10.0 : adjusted_sm_score
//plot(show_deviation_lines ? sm + step * 3 : na, color=get_band_color(sm + step * 3, close, adjusted_sm_score, true, color_bull, color_bear))
//plot(show_deviation_lines ? sm + step * 2 : na, color=get_band_color(sm + step * 2, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step : na, color=get_band_color(sm + step , close, adjusted_sm_score, true, color_bull, color_bear))
//plot(sm, color=get_dynamic_color(adjusted_sm_score, 0), title="SMEMA", linewidth=2)
plot(show_deviation_lines ? sm - step : na, color=get_band_color(sm - step , close, adjusted_sm_score, false, color_bull, color_bear))
//plot(show_deviation_lines ? sm - step * 2 : na, color=get_band_color(sm - step * 2, close, adjusted_sm_score, false, color_bull, color_bear))
//plot(show_deviation_lines ? sm - step * 3 : na, color=get_band_color(sm - step * 3, close, adjusted_sm_score, false, color_bull, color_bear))
/////////////////
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Darkoexe
//@version=6
ATRwithTrendFactor = input(4.5, 'ATR with trend factor')
ATRagainstTrendFactor = input(1.5, 'ATR against trend factor')
ATRperiod = input(14, 'ATR period')
color ColorStartUpTrend = input.color(color.green, 'Start Up Trend Color')
color ColorStartDownTrend = input.color(color.red, 'Start Down Trend Color')
color ColorEndTrend = input.color(color.purple, 'End Trend Color')
color ColorBoth = input.color(color.gray, 'Color when start and end trend are the same')
var bool endTrend = false
var float fullTrendChecker = 0.0
var float counterTrendChecker = close - close[1] > 0.0 ? 0.1 : -0.1
var bool UpTrend = false
var bool DownTrend = false
var StartTrendBarTime = time
var EndTrendBarTime = time
var float previous_EndTrendBarTime = time
var float EndTrendClose = close
var bool reversal = false
if bar_index > 1
fullTrendChecker := fullTrendChecker + close - close[1]
fullTrendChecker
if UpTrend and reversal
counterTrendChecker := counterTrendChecker + close - close[1]
counterTrendChecker
else if UpTrend and close - close[1] < 0.0 and counterTrendChecker == 0.1
counterTrendChecker := close - close[1]
EndTrendBarTime := time[1]
reversal := true
EndTrendClose := close[1]
endTrend := true
endTrend
if DownTrend and reversal
counterTrendChecker := counterTrendChecker + close - close[1]
counterTrendChecker
else if DownTrend and close - close[1] > 0.0 and counterTrendChecker == -0.1
counterTrendChecker := close - close[1]
EndTrendBarTime := time[1]
reversal := true
EndTrendClose := close[1]
endTrend := true
endTrend
var float endTrendATR = 0
endTrendATR := endTrend ? ta.atr(ATRperiod)[1] : endTrendATR
endTrend := false
var float startTrendATR = 0
var upWick = 0.0
var downWick = 0.0
if bar_index > 1
if close - close[1] > 0.0
upWick := high - close
upWick
else
upWick := high - close
upWick
if close - close[1] < 0.0
downWick := low - close
downWick
else
downWick := low - close
downWick
findIndex(TIME) =>
int i = 0
while true
if time[i] == TIME
findIndex = i
break
i := i + 1
i
if counterTrendChecker + upWick >= ATRagainstTrendFactor * endTrendATR and DownTrend //Checks if the trend has ended
fullTrendChecker := fullTrendChecker + EndTrendClose - close
if fullTrendChecker <= -ATRwithTrendFactor * startTrendATR //Checks if the trend was atleast the size of "ATRwithTrendFactor" multiplied by the ATR at the start of the trend
if StartTrendBarTime == previous_EndTrendBarTime
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Trend Kontrol', color = ColorBoth)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Trend Devam', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=ColorBoth, width=4, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
else
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Düþüþ Baþladý', color = ColorStartDownTrend)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Düþüþ Bitti', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=lineColorStartTrend, width=2, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
previous_EndTrendBarTime := EndTrendBarTime
previous_EndTrendBarTime
//ATR := ta.atr(ATRperiod)
if counterTrendChecker < 0.0
StartTrendBarTime := time[1]
startTrendATR := ta.atr(ATRperiod)[1]
fullTrendChecker := close - open
counterTrendChecker := -0.1
reversal := false
reversal
else
StartTrendBarTime := EndTrendBarTime
startTrendATR := endTrendATR
fullTrendChecker := counterTrendChecker
counterTrendChecker := 0.1
UpTrend := true
DownTrend := false
reversal := false
reversal
else if counterTrendChecker + downWick <= -(ATRagainstTrendFactor * endTrendATR) and UpTrend //Checks if the trend has ended
fullTrendChecker := fullTrendChecker + EndTrendClose - close
if fullTrendChecker >= ATRwithTrendFactor * startTrendATR //Checks if the trend was atleast the size of "ATRwithTrendFactor" multiplied by the ATR at the start of the trend
if StartTrendBarTime == previous_EndTrendBarTime
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Trend Kontrol', color = ColorBoth)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Trend Devam', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=ColorBoth, width=4, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
else
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Yükseliþ Baþladý', color = ColorStartUpTrend)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Yükseliþ Bitti', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=lineColorStartTrend, width=2, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
previous_EndTrendBarTime := EndTrendBarTime
previous_EndTrendBarTime
//ATR := ta.atr(ATRperiod)
if counterTrendChecker > 0.0
StartTrendBarTime := time[1]
startTrendATR := ta.atr(ATRperiod)[1]
fullTrendChecker := close - open
counterTrendChecker := 0.1
reversal := false
reversal
else
StartTrendBarTime := EndTrendBarTime
startTrendATR := endTrendATR
fullTrendChecker := counterTrendChecker
counterTrendChecker := -0.1
DownTrend := true
UpTrend := false
reversal := false
reversal
if reversal and UpTrend and close - close[1] > 0.0 and counterTrendChecker > 0.0
reversal := false
counterTrendChecker := 0.1
counterTrendChecker
else if reversal and DownTrend and close - close[1] < 0.0 and counterTrendChecker < 0.0
reversal := false
counterTrendChecker := -0.1
counterTrendChecker
if fullTrendChecker > 0.0
UpTrend := true
DownTrend := false
DownTrend
else if fullTrendChecker < 0.0
UpTrend := false
DownTrend := true
DownTrend
/////////////////
https://i.hizliresim.com/5thlpwm.jpg
bu grafikte ne görülür... burayý okuyanlar....
bunun kombine edilmiþ kod olduðunu,
arka zemine hesaplama yapýldýðýný,
içindeki stratejilerin tablo ve label kullanýlarak görselleþtiðini,
ve hesaplamalarýn teyit için deðerler deðiþtirildiðini görür.....
görüntünün kodu bu.....PHP Code://@version=6
indicator(title = 'Master Trend BUY&SELL', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
////
// === Inputs ===
fairLen = input.int(50, "Fair Value EMA Length")
zLen = input.int(100, "Z-Score Lookback Length")
zThreshold = input.float(3.0, "Z-Score Threshold")
src = input.source(close, "Source")
rsiLen = input.int(14, "RSI Length")
rsiEmaLen = input.int(7, "EMA of RSI Slope")
colorMode = input.string("None", "Bar Coloring Mode", options=[
"None",
"Reversal Solid",
"Reversal Fade",
"Exceeding Bands",
"Classic Heat"
])
enableSignals = input.bool(false,'Show Signals')
// === Smooth RGB Gradient Function
f_colorGradient(_ratio, _colA, _colB) =>
rA = color.r(_colA)
gA = color.g(_colA)
bA = color.b(_colA)
rB = color.r(_colB)
gB = color.g(_colB)
bB = color.b(_colB)
rr = rA + int((rB - rA) * _ratio)
rg = gA + int((gB - gA) * _ratio)
rb = bA + int((bB - bA) * _ratio)
color.rgb(rr, rg, rb, 0)
// === Color Scheme ===
bullMain = color.new(#5CF0D7, 0)
bearMain = color.new(#B32AC3, 0)
labelTextCol = color.white
borderCol = color.white
// === Fair Value (EMA Only) ===
fair = ta.ema(src, fairLen)
// === Z-Score Deviation
dev = src - fair
devMean = ta.sma(dev, zLen)
devStdev = ta.stdev(dev, zLen)
zScore = devStdev != 0 ? (dev - devMean) / devStdev : 0
// === Z-Bands
upperBand = fair + zThreshold * devStdev
lowerBand = fair - zThreshold * devStdev
// === Re-entry Logic
wasAbove = src[1] > upperBand[1]
wasBelow = src[1] < lowerBand[1]
backInsideFromAbove = wasAbove and src <= upperBand
backInsideFromBelow = wasBelow and src >= lowerBand
// === RSI EMA Slope Filter
rsi = ta.rsi(close, rsiLen)
rsiEma = ta.ema(rsi, rsiEmaLen)
rsiSlope = rsiEma - rsiEma[1]
slopeUp = rsiSlope > 0
slopeDown = rsiSlope < 0
// === Signal Memory (One per slope)
var bool buyFiredOnSlope = false
var bool sellFiredOnSlope = false
// Reset logic when slope flips
buyReset = ta.crossover(rsiSlope, 0)
sellReset = ta.crossunder(rsiSlope, 0)
if buyReset
buyFiredOnSlope := false
if sellReset
sellFiredOnSlope := false
// Final entry conditions
finalBuy = backInsideFromBelow and slopeUp and not buyFiredOnSlope and enableSignals
finalSell = backInsideFromAbove and slopeDown and not sellFiredOnSlope and enableSignals
if finalBuy
buyFiredOnSlope := true
if finalSell
sellFiredOnSlope := true
// === Bar Coloring Modes
// Reversal Memory (for "Reversal Solid" and "Reversal Fade")
var string lastSignal = ""
if finalBuy
lastSignal := "bull"
if finalSell
lastSignal := "bear"
// Reversal Fade Tracker
var int signalAge = 0
if finalBuy or finalSell
signalAge := 0
else
signalAge += 1
// info
var string lastTrend = ""
if close > upperBand
lastTrend := "bull"
else if close < lowerBand
lastTrend := "bear"
// === Bar Coloring Logic
var color barCol = na
// 1. Reversal Solid
if colorMode == "Reversal Solid"
barCol := lastSignal == "bull" ? color.new(bullMain, 0) : lastSignal == "bear" ? color.new(bearMain, 0) : na
if colorMode == "None"
barCol := na
// 2. Reversal Fade
if colorMode == "Reversal Fade"
fade = math.min(90, signalAge * 1)
barCol := lastSignal == "bull" ? color.new(bullMain, fade) : lastSignal == "bear" ? color.new(bearMain, fade) : na
// 4. Exceeding Bands Only (only when outside bands)
if colorMode == "Exceeding Bands"
barCol := close > upperBand ? color.new(bullMain, 0) : close < lowerBand ? color.new(bearMain, 0) : na
// 5. Classic Heat — correct: strongest color near bands, fade near fair
// 5. Classic Heat — fixed: most intense near boundaries, fades toward fair
// 6. Gradient Flow — RGB blend from bull to bear based on band distance
if colorMode == "Classic Heat"
bandRange = upperBand - lowerBand
ratioRaw = (close - lowerBand) / bandRange
ratioClamped = math.max(0.0, math.min(ratioRaw, 1.0))
barCol := f_colorGradient(ratioClamped, bullMain, bearMain)
barcolor(barCol)
// === Table Position Setting
enableTable = input.bool(true,'Enable Table')
tablePos = input.string("Top Right", "Table Position", options=["Top Left", "Top Right", "Bottom Left", "Bottom Right"])
pos = tablePos == "Top Left" ? position.top_left :
tablePos == "Top Right" ? position.top_right :
tablePos == "Bottom Left" ? position.bottom_left :
position.bottom_right
// === Scoring Logic
score_z = zScore < -zThreshold ? +1 : zScore > zThreshold ? -1 : 0
score_slope = rsiSlope > 0 ? +1 : rsiSlope < 0 ? -1 : 0
score_price = close > fair ? +1 : close < fair ? -1 : 0
score_trend = lastTrend == "bull" ? +1 : lastTrend == "bear" ? -1 : 0
score_reentry = finalBuy ? +1 : finalSell ? -1 : 0
// === Score Aggregation
totalScore = score_z + score_slope + score_price + score_trend + score_reentry
scoreCount = 5
avgScore = totalScore / scoreCount
finalSignal = avgScore > 0.1 ? "AL" : avgScore < -0.1 ? "SAT" : "Nötr"
finalColor = avgScore > 0.1 ? bullMain : avgScore < -0.1 ? bearMain : color.gray
// === Shared Style
bgcolor = color.new(#000000, 0)
textCol = color.white
// === Table Drawing
if bar_index % 2 == 0 and enableTable
var table scoreTable = table.new(pos, 2, 7,frame_width = 1, border_width=1, frame_color=color.white, border_color=color.white)
table.cell(scoreTable, 0, 0, "Ýnd", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 0, "Puan", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 1, "Z-Score", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 1, str.tostring(score_z), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 2, "RSI", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 2, str.tostring(score_slope), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 3, "Fiyat", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 3, str.tostring(score_price), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 4, "Trend ", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 4, str.tostring(score_trend), bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 5, "R Giriþ", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 5, str.tostring(score_reentry),bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 0, 6, "Sonuç", bgcolor=bgcolor, text_color=textCol)
table.cell(scoreTable, 1, 6, finalSignal, bgcolor=bgcolor, text_color=finalColor)
table.cell_set_text_font_family(scoreTable,0,0,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,0,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,1,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,1,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,2,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,2,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,3,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,3,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,4,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,4,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,5,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,5,font.family_monospace)
table.cell_set_text_font_family(scoreTable,0,6,font.family_monospace)
table.cell_set_text_font_family(scoreTable,1,6,font.family_monospace)
/////////////////
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(rsi, 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,90))
//plotcandle(open,high,low,close,"Candles",color=trendColor,wickcolor = trendColor,bordercolor = trendColor,force_overlay = true)
/////////////
src77 = close
rsiLen77 = input.int(1, 'RSI Length', group = "T3")
minLen = input.int(3, 'Min T3 Length', group = "T3")
maxLen = input.int(5, 'Max T3 Length', group = "T3")
v = input.float(0.34, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// Step 1: Adaptive length via RSI
rsi77 = ta.rsi(src77, rsiLen77)
rsi_scale = 1 - rsi77 / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src : alpha * src + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "��", location.absolute, t3_col)
////////////
//@ Julien_Eche
//@version=6
length = input.int(20, title="SMEMA Length")
table_size = input.string("normal", title="Table Size", options=["small", "normal", "large"])
table_text_size = table_size
show_deviation_lines = input.bool(true, title="Show Deviation Levels")
show_tf_cells = input.bool(true, title="Show All Timeframes")
approach = input.string("Swing Trading", title="Overall Trend Weighting", options=["Long Term", "Swing Trading", "Short Term"])
color_bull = input.color(#ecf405, title="Bull Color", inline="col")
color_bear = input.color(color.rgb(5, 29, 247), title="Bear Color", inline="col")
color_neutral = input.color(color.rgb(205, 2, 246), title="Neutral Color", inline="col")
get_trend_arrow(score) => score >= 0.5 ? "➚" : score <= -0.5 ? "➘" : "➡"
get_trend_strength(score) => str.tostring(math.round(math.abs(score))) + "/10"
trend_col(score) => score > 0.5 ? color_bull : score < -0.5 ? color_bear : color_neutral
get_dynamic_color(score, alpha) => color.new(trend_col(score), alpha)
get_band_color(level, src, score, is_upper, col_bull, col_bear) =>
r = math.abs(src - level) / ta.percentile_linear_interpolation(math.abs(src - level), 400, 100)
c = score > 0 and is_upper ? col_bull : score < 0 and not is_upper ? col_bear : na
result = na(c) ? na : r <= 0.03 ? color.new(c, 96) : r <= 0.06 ? color.new(c, 90) : r <= 0.10 ? color.new(c, 80) : r <= 0.15 ? color.new(c, 68) : r <= 0.20 ? color.new(c, 55) : r <= 0.27 ? color.new(c, 42) : r <= 0.35 ? color.new(c, 30) : color.new(c, 18)
result
get_score_internal() =>
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
slope = sm - sm_prev
slope_ratio = slope / sm
slope_ratio := slope_ratio > 0.1 ? 0.1 : slope_ratio < -0.1 ? -0.1 : slope_ratio
slope_weight = 1.0 + slope_ratio * 10.0
bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
raw_score = (bull - bear) * 10.0 / 3.0
adjusted_score = raw_score * slope_weight
adjusted_score := adjusted_score > 10.0 ? 10.0 : adjusted_score < -10.0 ? -10.0 : adjusted_score
adjusted_score
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
sm_bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
sm_bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
sm_score = (sm_bull - sm_bear) * 10.0 / 3.0
slope = sm - sm_prev
slope_ratio = slope / step
slope_ratio := slope_ratio > 2.0 ? 2.0 : slope_ratio < -2.0 ? -2.0 : slope_ratio
slope_weight = 1.0 + slope_ratio * 0.25
adjusted_sm_score = sm_score * slope_weight
adjusted_sm_score := adjusted_sm_score > 10.0 ? 10.0 : adjusted_sm_score < -10.0 ? -10.0 : adjusted_sm_score
//plot(show_deviation_lines ? sm + step * 3 : na, color=get_band_color(sm + step * 3, close, adjusted_sm_score, true, color_bull, color_bear))
//plot(show_deviation_lines ? sm + step * 2 : na, color=get_band_color(sm + step * 2, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step : na, color=get_band_color(sm + step , close, adjusted_sm_score, true, color_bull, color_bear))
//plot(sm, color=get_dynamic_color(adjusted_sm_score, 0), title="SMEMA", linewidth=2)
plot(show_deviation_lines ? sm - step : na, color=get_band_color(sm - step , close, adjusted_sm_score, false, color_bull, color_bear))
//plot(show_deviation_lines ? sm - step * 2 : na, color=get_band_color(sm - step * 2, close, adjusted_sm_score, false, color_bull, color_bear))
//plot(show_deviation_lines ? sm - step * 3 : na, color=get_band_color(sm - step * 3, close, adjusted_sm_score, false, color_bull, color_bear))
/////////////////
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Darkoexe
//@version=6
ATRwithTrendFactor = input(4.5, 'ATR with trend factor')
ATRagainstTrendFactor = input(1.5, 'ATR against trend factor')
ATRperiod = input(14, 'ATR period')
color ColorStartUpTrend = input.color(color.green, 'Start Up Trend Color')
color ColorStartDownTrend = input.color(color.red, 'Start Down Trend Color')
color ColorEndTrend = input.color(color.purple, 'End Trend Color')
color ColorBoth = input.color(color.gray, 'Color when start and end trend are the same')
var bool endTrend = false
var float fullTrendChecker = 0.0
var float counterTrendChecker = close - close[1] > 0.0 ? 0.1 : -0.1
var bool UpTrend = false
var bool DownTrend = false
var StartTrendBarTime = time
var EndTrendBarTime = time
var float previous_EndTrendBarTime = time
var float EndTrendClose = close
var bool reversal = false
if bar_index > 1
fullTrendChecker := fullTrendChecker + close - close[1]
fullTrendChecker
if UpTrend and reversal
counterTrendChecker := counterTrendChecker + close - close[1]
counterTrendChecker
else if UpTrend and close - close[1] < 0.0 and counterTrendChecker == 0.1
counterTrendChecker := close - close[1]
EndTrendBarTime := time[1]
reversal := true
EndTrendClose := close[1]
endTrend := true
endTrend
if DownTrend and reversal
counterTrendChecker := counterTrendChecker + close - close[1]
counterTrendChecker
else if DownTrend and close - close[1] > 0.0 and counterTrendChecker == -0.1
counterTrendChecker := close - close[1]
EndTrendBarTime := time[1]
reversal := true
EndTrendClose := close[1]
endTrend := true
endTrend
var float endTrendATR = 0
endTrendATR := endTrend ? ta.atr(ATRperiod)[1] : endTrendATR
endTrend := false
var float startTrendATR = 0
var upWick = 0.0
var downWick = 0.0
if bar_index > 1
if close - close[1] > 0.0
upWick := high - close
upWick
else
upWick := high - close
upWick
if close - close[1] < 0.0
downWick := low - close
downWick
else
downWick := low - close
downWick
findIndex(TIME) =>
int i = 0
while true
if time[i] == TIME
findIndex = i
break
i := i + 1
i
if counterTrendChecker + upWick >= ATRagainstTrendFactor * endTrendATR and DownTrend //Checks if the trend has ended
fullTrendChecker := fullTrendChecker + EndTrendClose - close
if fullTrendChecker <= -ATRwithTrendFactor * startTrendATR //Checks if the trend was atleast the size of "ATRwithTrendFactor" multiplied by the ATR at the start of the trend
if StartTrendBarTime == previous_EndTrendBarTime
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Trend Kontrol', color = ColorBoth)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Trend Devam', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=ColorBoth, width=4, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
else
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Düþüþ Baþladý', color = ColorStartDownTrend)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Düþüþ Bitti', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=lineColorStartTrend, width=2, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
previous_EndTrendBarTime := EndTrendBarTime
previous_EndTrendBarTime
//ATR := ta.atr(ATRperiod)
if counterTrendChecker < 0.0
StartTrendBarTime := time[1]
startTrendATR := ta.atr(ATRperiod)[1]
fullTrendChecker := close - open
counterTrendChecker := -0.1
reversal := false
reversal
else
StartTrendBarTime := EndTrendBarTime
startTrendATR := endTrendATR
fullTrendChecker := counterTrendChecker
counterTrendChecker := 0.1
UpTrend := true
DownTrend := false
reversal := false
reversal
else if counterTrendChecker + downWick <= -(ATRagainstTrendFactor * endTrendATR) and UpTrend //Checks if the trend has ended
fullTrendChecker := fullTrendChecker + EndTrendClose - close
if fullTrendChecker >= ATRwithTrendFactor * startTrendATR //Checks if the trend was atleast the size of "ATRwithTrendFactor" multiplied by the ATR at the start of the trend
if StartTrendBarTime == previous_EndTrendBarTime
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Trend Kontrol', color = ColorBoth)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Trend Devam', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=ColorBoth, width=4, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
else
label.new(point = chart.point.from_time(StartTrendBarTime, close[findIndex(StartTrendBarTime)]), style = label.style_label_up, xloc = xloc.bar_time, size = size.small, text = 'Yükseliþ Baþladý', color = ColorStartUpTrend)
label.new(point = chart.point.from_time(EndTrendBarTime, close[findIndex(EndTrendBarTime)]), style = label.style_label_down, xloc = xloc.bar_time, size = size.small, text = 'Yükseliþ Bitti', color = ColorEndTrend)
// line.new(x1=StartTrendBarTime, y1=1, x2=StartTrendBarTime, y2=2, extend=extend.both, color=lineColorStartTrend, width=2, xloc=xloc.bar_time)
// line.new(x1=EndTrendBarTime, y1=1, x2=EndTrendBarTime, y2=2, extend=extend.both, color=ColorEndTrend, width=2, xloc=xloc.bar_time)
previous_EndTrendBarTime := EndTrendBarTime
previous_EndTrendBarTime
//ATR := ta.atr(ATRperiod)
if counterTrendChecker > 0.0
StartTrendBarTime := time[1]
startTrendATR := ta.atr(ATRperiod)[1]
fullTrendChecker := close - open
counterTrendChecker := 0.1
reversal := false
reversal
else
StartTrendBarTime := EndTrendBarTime
startTrendATR := endTrendATR
fullTrendChecker := counterTrendChecker
counterTrendChecker := -0.1
DownTrend := true
UpTrend := false
reversal := false
reversal
if reversal and UpTrend and close - close[1] > 0.0 and counterTrendChecker > 0.0
reversal := false
counterTrendChecker := 0.1
counterTrendChecker
else if reversal and DownTrend and close - close[1] < 0.0 and counterTrendChecker < 0.0
reversal := false
counterTrendChecker := -0.1
counterTrendChecker
if fullTrendChecker > 0.0
UpTrend := true
DownTrend := false
DownTrend
else if fullTrendChecker < 0.0
UpTrend := false
DownTrend := true
DownTrend
/////////////////
https://tr.tradingview.com/script/LvoHqRLr/
https://tr.tradingview.com/script/6yxNMb6W/
https://tr.tradingview.com/script/d3...els-Zeiierman/
müsait olunca kombin yapýlabilir...
bi görüntü olsun....
zemin ana trend gibi...
trend bulucu...ve hýzlandýrýcý gibi....
örnek...
https://www.tradingview.com/x/Xg4Pznln/
https://www.tradingview.com/x/a7aSrxMh/
https://www.tradingview.com/x/724iLlKr/
https://www.tradingview.com/x/nzZGbh3V/
https://www.tradingview.com/x/MQlcYbB2/
https://www.tradingview.com/x/lskzO8yH/
kombine edilmiþ bir kod örneðidir.....PHP Code://@version=6
indicator(title = 'Master Trend BUY&SELL', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
/////////////////////
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,90))
//plotcandle(open,high,low,close,"Candles",color=trendColor,wickcolor = trendColor,bordercolor = trendColor,force_overlay = true)
/////////////
src77 = close
rsiLen77 = input.int(1, 'RSI Length', group = "T3")
minLen = input.int(3, 'Min T3 Length', group = "T3")
maxLen = input.int(5, 'Max T3 Length', group = "T3")
v = input.float(0.34, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// Step 1: Adaptive length via RSI
rsi77 = ta.rsi(src77, rsiLen77)
rsi_scale = 1 - rsi77 / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src77, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src77 : alpha * src77 + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src77, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "🞛", location.absolute, t3_col)
//@version=6
length = input.int(20, title="SMEMA Length")
//table_size = input.string("normal", title="Table Size", options=["small", "normal", "large"])
//table_text_size = table_size
show_deviation_lines = input.bool(true, title="Show Deviation Levels")
show_tf_cells = input.bool(true, title="Show All Timeframes")
approach = input.string("Swing Trading", title="Overall Trend Weighting", options=["Long Term", "Swing Trading", "Short Term"])
color_bull = input.color(#ecf405, title="Bull Color", inline="col")
color_bear = input.color(color.rgb(5, 29, 247), title="Bear Color", inline="col")
color_neutral = input.color(color.rgb(205, 2, 246), title="Neutral Color", inline="col")
get_trend_arrow(score) => score >= 0.5 ? "➚" : score <= -0.5 ? "➘" : "➡"
get_trend_strength(score) => str.tostring(math.round(math.abs(score))) + "/10"
trend_col(score) => score > 0.5 ? color_bull : score < -0.5 ? color_bear : color_neutral
get_dynamic_color(score, alpha) => color.new(trend_col(score), alpha)
get_band_color(level, src, score, is_upper, col_bull, col_bear) =>
r = math.abs(src - level) / ta.percentile_linear_interpolation(math.abs(src - level), 400, 100)
c = score > 0 and is_upper ? col_bull : score < 0 and not is_upper ? col_bear : na
result = na(c) ? na : r <= 0.03 ? color.new(c, 96) : r <= 0.06 ? color.new(c, 90) : r <= 0.10 ? color.new(c, 80) : r <= 0.15 ? color.new(c, 68) : r <= 0.20 ? color.new(c, 55) : r <= 0.27 ? color.new(c, 42) : r <= 0.35 ? color.new(c, 30) : color.new(c, 18)
result
get_score_internal() =>
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
slope = sm - sm_prev
slope_ratio = slope / sm
slope_ratio := slope_ratio > 0.1 ? 0.1 : slope_ratio < -0.1 ? -0.1 : slope_ratio
slope_weight = 1.0 + slope_ratio * 10.0
bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
raw_score = (bull - bear) * 10.0 / 3.0
adjusted_score = raw_score * slope_weight
adjusted_score := adjusted_score > 10.0 ? 10.0 : adjusted_score < -10.0 ? -10.0 : adjusted_score
adjusted_score
sm = ta.sma(ta.ema(close, length), length)
sm_prev = ta.sma(ta.ema(close[1], length), length)
step = ta.atr(100)
sm_bull = (close > sm + step ? 1 : 0) + (close > sm + step * 2 ? 1 : 0) + (close > sm + step * 3 ? 1 : 0)
sm_bear = (close < sm - step ? 1 : 0) + (close < sm - step * 2 ? 1 : 0) + (close < sm - step * 3 ? 1 : 0)
sm_score = (sm_bull - sm_bear) * 10.0 / 3.0
slope = sm - sm_prev
slope_ratio = slope / step
slope_ratio := slope_ratio > 2.0 ? 2.0 : slope_ratio < -2.0 ? -2.0 : slope_ratio
slope_weight = 1.0 + slope_ratio * 0.25
adjusted_sm_score = sm_score * slope_weight
adjusted_sm_score := adjusted_sm_score > 10.0 ? 10.0 : adjusted_sm_score < -10.0 ? -10.0 : adjusted_sm_score
//plot(show_deviation_lines ? sm + step * 3 : na, color=get_band_color(sm + step * 3, close, adjusted_sm_score, true, color_bull, color_bear))
//plot(show_deviation_lines ? sm + step * 2 : na, color=get_band_color(sm + step * 2, close, adjusted_sm_score, true, color_bull, color_bear))
plot(show_deviation_lines ? sm + step : na, color=get_band_color(sm + step , close, adjusted_sm_score, true, color_bull, color_bear))
//plot(sm, color=get_dynamic_color(adjusted_sm_score, 0), title="SMEMA", linewidth=2)
plot(show_deviation_lines ? sm - step : na, color=get_band_color(sm - step , close, adjusted_sm_score, false, color_bull, color_bear))
//plot(show_deviation_lines ? sm - step * 2 : na, color=get_band_color(sm - step * 2, close, adjusted_sm_score, false, color_bull, color_bear))
//plot(show_deviation_lines ? sm - step * 3 : na, color=get_band_color(sm - step * 3, close, adjusted_sm_score, false, color_bull, color_bear))
/////////////////
hesaplamadaki dikkat edilecek kýsým....
rsi 1 deðerinin...3 ve 5 ema ile iliþkilendirilmesi....
üsteki kodu sadeleþtirsek...
ve yalnýzca rsi 1 hesaplamasýný býraksak....
https://www.tradingview.com/x/PlOzHrZ0/ görüntü bu...
bilinen rsi 14 ü....30 ve 70 aralýðý dikkate alýnarak...20-50 ema ile bakýlsa...
görüntü.....bu... https://www.tradingview.com/x/aCXru9wi/
eðer rsi 14 sabitlenip...ema diðeri gibi 3-5 yapýlýrsa görüntü bu.....https://www.tradingview.com/x/cSmCjrPx/
þimdi görüntü sadeleþtirilip...rsi 14 býrakýlýp...Alýntý:
Originally Posted by @yörük@
ortaya çýkan görüntü.....https://www.tradingview.com/x/21ELgJEu/ https://www.tradingview.com/x/44WBxifk/
dikkatli bakýlýnca....
kullanýlan https://tr.tradingview.com/v/LvoHqRLr/ Advanced MA Crossover with RSI Filter bu kod...
gereksiz duruma düþüyor...bu yüzden kombin etmeye gerek yok bence....PHP Code://@version=5
indicator("Advanced MA Crossover with RSI Filter", shorttitle="AMAC-RSI", overlay=true)
// ============================================================================
// INPUT PARAMETERS
// ============================================================================
// Moving Average Settings
ma_type = input.string("EMA", "MA Type", options=["SMA", "EMA", "WMA", "VWMA"], group="Moving Average Settings")
fast_length = input.int(20, "Fast MA Period", minval=1, group="Moving Average Settings")
slow_length = input.int(50, "Slow MA Period", minval=1, group="Moving Average Settings")
// RSI Filter Settings
use_rsi_filter = input.bool(true, "Use RSI Filter", group="RSI Filter Settings")
rsi_length = input.int(14, "RSI Period", minval=1, group="RSI Filter Settings")
rsi_oversold = input.int(30, "RSI Oversold Level", minval=1, maxval=50, group="RSI Filter Settings")
rsi_overbought = input.int(70, "RSI Overbought Level", minval=50, maxval=99, group="RSI Filter Settings")
// Alert Settings
enable_alerts = input.bool(true, "Enable Alerts", group="Alert Settings")
show_labels = input.bool(true, "Show BUY/SELL Labels", group="Visual Settings")
show_ma_lines = input.bool(true, "Show MA Lines", group="Visual Settings")
show_info_table = input.bool(true, "Show Info Table", group="Visual Settings")
// ============================================================================
// CALCULATIONS
// ============================================================================
// Moving Average Calculation Function
get_ma(source, length, ma_type) =>
switch ma_type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
=> ta.ema(source, length)
// Moving Averages
fast_ma = get_ma(close, fast_length, ma_type)
slow_ma = get_ma(close, slow_length, ma_type)
// RSI Calculation
rsi = ta.rsi(close, rsi_length)
// ============================================================================
// SIGNAL LOGIC
// ============================================================================
// Basic MA Crossover Signals
ma_cross_up = ta.crossover(fast_ma, slow_ma)
ma_cross_down = ta.crossunder(fast_ma, slow_ma)
// RSI Filter
rsi_bullish = not use_rsi_filter or (rsi > rsi_oversold and rsi < rsi_overbought)
rsi_bearish = not use_rsi_filter or (rsi < rsi_overbought and rsi > rsi_oversold)
// Trend Filter (Price above/below MAs)
price_above_mas = close > fast_ma and close > slow_ma
price_below_mas = close < fast_ma and close < slow_ma
// Final Signals
long_signal = ma_cross_up and rsi_bullish and price_above_mas
short_signal = ma_cross_down and rsi_bearish and price_below_mas
// ============================================================================
// ALERT SYSTEM
// ============================================================================
// BUY Signal Alert
if long_signal and enable_alerts
alert("🟢 BUY SIGNAL: " + syminfo.ticker + " - Price: " + str.tostring(close, "#.##") + " - MA Cross Up + RSI Filter", alert.freq_once_per_bar)
// SELL Signal Alert
if short_signal and enable_alerts
alert("🔴 SELL SIGNAL: " + syminfo.ticker + " - Price: " + str.tostring(close, "#.##") + " - MA Cross Down + RSI Filter", alert.freq_once_per_bar)
// ============================================================================
// VISUALIZATION
// ============================================================================
// MA Lines
plot(show_ma_lines ? fast_ma : na, "Fast MA", color=color.blue, linewidth=2)
plot(show_ma_lines ? slow_ma : na, "Slow MA", color=color.red, linewidth=2)
// MA Fill Area
fill_color = fast_ma > slow_ma ? color.new(color.green, 90) : color.new(color.red, 90)
fill(plot(fast_ma), plot(slow_ma), color=fill_color, title="MA Fill")
// BUY/SELL Labels
if show_labels and long_signal
label.new(bar_index, low - (high - low) * 0.1, "BUY\n💰",
color=color.green, textcolor=color.white,
style=label.style_label_up, size=size.normal)
if show_labels and short_signal
label.new(bar_index, high + (high - low) * 0.1, "SELL\n📉",
color=color.red, textcolor=color.white,
style=label.style_label_down, size=size.normal)
// ============================================================================
// INFORMATION TABLE
// ============================================================================
if show_info_table and barstate.islast
var table info_table = table.new(position.top_right, 2, 6, bgcolor=color.white, border_width=1)
table.cell(info_table, 0, 0, "Parameter", text_color=color.black, bgcolor=color.gray)
table.cell(info_table, 1, 0, "Value", text_color=color.black, bgcolor=color.gray)
table.cell(info_table, 0, 1, "Fast MA", text_color=color.black)
table.cell(info_table, 1, 1, str.tostring(fast_length) + " " + ma_type, text_color=color.blue)
table.cell(info_table, 0, 2, "Slow MA", text_color=color.black)
table.cell(info_table, 1, 2, str.tostring(slow_length) + " " + ma_type, text_color=color.red)
table.cell(info_table, 0, 3, "RSI", text_color=color.black)
table.cell(info_table, 1, 3, str.tostring(math.round(rsi, 2)), text_color=color.purple)
table.cell(info_table, 0, 4, "Trend", text_color=color.black)
trend_text = fast_ma > slow_ma ? "UP ⬆️" : "DOWN ⬇️"
trend_color = fast_ma > slow_ma ? color.green : color.red
table.cell(info_table, 1, 4, trend_text, text_color=trend_color)
table.cell(info_table, 0, 5, "Last Signal", text_color=color.black)
signal_text = long_signal ? "BUY 🟢" : short_signal ? "SELL 🔴" : "NONE ⚪"
signal_color = long_signal ? color.green : short_signal ? color.red : color.gray
table.cell(info_table, 1, 5, signal_text, text_color=signal_color)
// ============================================================================
// SIGNAL SHAPES
// ============================================================================
// BUY/SELL signals as shapes
plotshape(long_signal, title="BUY Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(short_signal, title="SELL Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
https://tr.tradingview.com/v/60GMm8mE/ ALEX - ATR Extensions + ADR + Table
deðiþik hesaplamalarýn olduðu kodda atr ve 21-50 deðerleri dikkate alýnmýþ....
görüntü için..çizgiler ve tablo aktif edilince....
görüntü örnekleri..... https://www.tradingview.com/x/PxdSLj16/ https://www.tradingview.com/x/aIOuLtJ0/
https://www.tradingview.com/x/fUTAY3vl/
burda... bakmayý bilen... anýnda tabloda deðiþmeyen dðerleri görür ki....
kodun hesaplamasýnda mtf olduðunu anlar....
zaten kod....aþýrý satýþ yerlerini... bir nevi gösterirken....beyaz 21den pembe 50 den hesaplanýyor ki....
ortak satýþ için 2-5 deðerleri kullanýlmýþ....
mtf de gün esas alýnmýþ.....
ayarlarda gün deðiþtirme olmayýnca....ya koddan deðiþiklik yapmalý ya da deðerleri hýzlandýrmak için küçültmelidir.....
örnek...
https://www.tradingview.com/x/lD58uR53/ https://www.tradingview.com/x/WXrpJdXO/ https://www.tradingview.com/x/MxhpQOdI/
bakýlýnca...rsi 1 kodumuza kombine etmeye deðer mi....
1-2 barlýk kayma var...günlükte....sanki öncü gibi....
lakin...kesiþime sinyal yazýlsa...testere piyasada iþ görmez halde...
görsel sadeleþme yapýlýnca...https://www.tradingview.com/x/1Hj5FDxH/ yani sadece aþýrý satýþ olan char kýsmý býrakýlýnca böyle....
kod benim açýmdan kombine edilmesine grek yok...
ama koddaki...hesaplamayý anlayan...koddaki lazým olan kýsmý görür ki....
mtf...gün deðilde saat yaparsanýz.....
bakýn görüntüye.....
https://www.tradingview.com/x/rNawwild/ https://www.tradingview.com/x/SPaWG1bN/ https://www.tradingview.com/x/kr0wal5h/ https://www.tradingview.com/x/zvv4qdPV/ ne güzel oldu deðil mi....aþýrý satýþ yerleri belli oldu....
bakýnýz rsi1 koduna kombine olsaydý.... görüntü....
https://www.tradingview.com/x/uQLZN3bh/ https://www.tradingview.com/x/lTs9uqZQ/
https://tr.tradingview.com/v/YYrxRhi9/ ATR Rope
konusu....konsildasyon ve trendi...atr ile iliþkilendirme....
kodun deðerleri oynanmadan görüntüsü https://www.tradingview.com/x/T1GMF0GU/
rsi1 koduyla beraber görüntü https://www.tradingview.com/x/z49dxh1h/
kodu kombine etmeye karar vermeden önce....
bir önerme kuralým....
en çok favorilenen kod scriptimi
ya da
favarisi düþük olan mý
faydalýdýr sorusunda.....
devreye.... rasyonellik girer ki.....
en çok favoriyi herkes bilince....herkesin ayný tepkiyi göstereceði yerde....
aykýrý olan düþüncenin oluþmasý için..... reset gerekir....
reset dediðim þey.... herkesin bildiði kullanmak deðil....
aksine... ümmi.....bakmak anlamýnda....
ne demek istedim....
bu kodu yazan kiþi....atr 14 deðerini...1.5 ile sýnýrlandýrýp....0.25le bölümlemiþ....
yani bir dikdörtgeni....0.25 birim deðerle....enine büyültüp küçültüyor....
boyuna uzunlukla da....zayýflýk ve güçlülük ayrýmýný yapýyor....
bu rasyonel bakýþ....
https://www.tradingview.com/x/eUB7fALD/ https://www.tradingview.com/x/u2KigktN/ bakýldýðýnda trend yönü, gücü hakkýnda bakýþ saðlýyor.... sade ve güzel....herkes böyle görecek....hepimiz ayný þeyi düþüneceðiz....
aykýrý düþünce içinse....bildiðimizi bilmiyormuþ gibi yaparak....
https://www.tradingview.com/x/SXv27B0r/ bu görüntü...deðerleri deðiþtirme ile elde edip....
burdan....19mart ile 8mayýs arasýndaki...bütünlüðün görmek....
ve hedefin....ralli olsa bile....12237 ye kadar olduðunu görebilmek gibi....
rsi1 koduna kombine yapalým....sizde istediðiniz deðeri kullanabilirsiniz....
https://www.tradingview.com/x/SaQRKmKc/
range çizgileri ve doldurmasý iptal edilmiþ hali....yalnýzca rope...trend olarak gözüksün....
https://www.tradingview.com/x/4VuxiXPF/
bu da...denemek isteyene....veya deðerlerini deðiþtirmek isteyen için....
rsi1 koduna kombine hali...
PHP Code://@version=6
indicator(title = 'kombine edilmiþtir dilediðiniz deðiþikliði ve deðer deðiþimlerini yapabilirsiniz keyif sizin', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
//////////////////////////////////
src77 = close
rsiLen77 = input.int(1, 'RSI Length', group = "T3")
minLen = input.int(3, 'Min T3 Length', group = "T3")
maxLen = input.int(5, 'Max T3 Length', group = "T3")
v = input.float(0.34, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// Step 1: Adaptive length via RSI
rsi77 = ta.rsi(src77, rsiLen77)
rsi_scale = 1 - rsi77 / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src77, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src77 : alpha * src77 + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src77, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "🞛", location.absolute, t3_col)
//////////////////
//@version=6
var params = "Parameters"
src55 = nz(input.source(close, title = "Source", group = params))
len55 = input.int(1, 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]
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//Rope
plot(rope, linewidth = 3, color = col, title = "Trend", force_overlay = true)
//Channel
//plot(upper, display = atr_tog?display.all:display.none, color = col, title = "Upper", force_overlay = true)
//plot(lower, display = atr_tog?display.all:display.none, color = col, title = "Lower", force_overlay = true)
//Consolidation Ranges
//h1 = plot(ff>0?na:c_hi, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range High 1")
//l1 = plot(ff>0?na:c_lo, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range Low 1")
//h2 = plot(ff<0?na:c_hi, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range High 2")
//l2 = plot(ff<0?na:c_lo, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range Low 2")
//fill(h1,l1,rng_col, display = rng_tog?display.all:display.none, title = "Range 1 Fill")
//fill(h2,l2,rng_col, display = rng_tog?display.all:display.none, title = "Range 2 Fill")
/////////////////////////////
Auto Trend Signal TP SL Manager | SSL Strategy Tool [THANHCONG]
https://tr.tradingview.com/v/6yxNMb6W/
hazýr þablon( içine farklý kod parçacýðý yerleþtirmek için) niyetine kullanýlabilir....
COV Bands ~ C H I P A
https://tr.tradingview.com/v/2VyRIJGW/
https://www.tradingview.com/x/A0Bqfu3p/ görüntü bu...bar renklendirme için...
denemek isteyene kombine kod...
PHP Code://@version=6
indicator(title = 'kombine edilmiþtir dilediðiniz deðiþikliði ve deðer deðiþimlerini yapabilirsiniz keyif sizin', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
//////////////////////////////////
src77 = close
rsiLen77 = input.int(1, 'RSI Length', group = "T3")
minLen = input.int(3, 'Min T3 Length', group = "T3")
maxLen = input.int(5, 'Max T3 Length', group = "T3")
v = input.float(0.34, 'T3 Volume Factor', step = 0.01, maxval = 2, minval = 0.1, group = "T3")
color_up = input.color(#21b8f3)
color_dn = input.color(#fd761b)
grp_vol_b = 'Volatility Bands'
show_bands = input.bool(true, 'Display', group = grp_vol_b, inline = "vol")
vol_col = input.color(#21c9f380, "", group = grp_vol_b, inline = "vol")
volat = input.int(100, 'Volatility', group = grp_vol_b)
// Step 1: Adaptive length via RSI
rsi77 = ta.rsi(src77, rsiLen77)
rsi_scale = 1 - rsi77 / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src77, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum[1]) ? src77 : alpha * src77 + (1 - alpha) * nz(sum[1])
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src77, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
t3_col = t3 > t3[2] ? color_up : color_dn
stdv = ta.stdev(t3, volat)
pt31 = plot(t3, color = t3_col, linewidth = 1, editable = false)
pt32 = plot(t3[2], color = t3_col, linewidth = 1, editable = false)
plotchar(ta.crossover(t3, t3[2]) or ta.crossunder(t3, t3[2]) ? t3 : na, "", "🞛", location.absolute, t3_col)
//////////////////
//@version=6
var params = "Parameters"
src55 = nz(input.source(close, title = "Source", group = params))
len55 = input.int(1, 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]
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//Rope
plot(rope, linewidth = 3, color = col, title = "Trend", force_overlay = true)
//Channel
//plot(upper, display = atr_tog?display.all:display.none, color = col, title = "Upper", force_overlay = true)
//plot(lower, display = atr_tog?display.all:display.none, color = col, title = "Lower", force_overlay = true)
//Consolidation Ranges
//h1 = plot(ff>0?na:c_hi, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range High 1")
//l1 = plot(ff>0?na:c_lo, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range Low 1")
//h2 = plot(ff<0?na:c_hi, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range High 2")
//l2 = plot(ff<0?na:c_lo, style = plot.style_linebr, color = color.new(rng_col,0), display = rng_tog?display.all:display.none, title = "Range Low 2")
//fill(h1,l1,rng_col, display = rng_tog?display.all:display.none, title = "Range 1 Fill")
//fill(h2,l2,rng_col, display = rng_tog?display.all:display.none, title = "Range 2 Fill")
/////////////////////////////
//@version=6
// Inputs
var string ii = 'Indicator Inputs'
length = input.int (5, "Period Length", group = ii)
upper_band_multi = input.float (1.2, "Upper Band Multiplier", step=0.02, group = ii)
lower_band_multi = input.float (0.3, "Lower Band Multiplier", step=0.02, group = ii)
stddev = input.int (31, "Standard Deviation", group = ii)
// Calculations
mean = ta.sma(close, length)
std_dev = ta.stdev(close, stddev)
cov = std_dev / mean
// Bands Calculation
upper_band = mean + (mean * cov * upper_band_multi)
lower_band = mean - (mean * cov * lower_band_multi)
// Trend Logic
var cb = 0
if close > upper_band
cb := 1
if close < lower_band
cb := -1
// Coloring
var color gray = color.rgb(150, 150, 160)
var color grayfade = color.new(color.rgb(150, 150, 160), 70)
var color coloring = na
if cb == 1
coloring := color.rgb(0, 180, 255)
else if cb == -1
coloring := color.rgb(255, 80, 60)
// Plotting Bands
var string ls = 'Long Signals'
var string ss = 'Short Singals'
var string L = 'Long'
var string S = 'Short'
plotcandle (open, high, low, close, "Bar", coloring, coloring, true, 10000,coloring)
///////////////////////
IU Pivot Zones + GMA https://tr.tradingview.com/v/4WmVYVjh/ repaint yapýyor...
https://youtube.com/shorts/Ot5AtoFQN...BJdZ9RHyxztrMo
daire deyip geçmeyin....
en son kombin yapmaya çalýþtýðýmýz kodun görüntüsü buydu...
https://www.tradingview.com/x/9OTd5VWR/
kodu sadeleþtirip....https://www.tradingview.com/x/QkVe5Sfy/ bu þekle çevirip....
kombine devam...
Trend Impulse Channels (Zeiierman) https://tr.tradingview.com/v/d3IaFa7c/
bu kodu ekleseydik görüntü....https://www.tradingview.com/x/cDAvUkKM/
saatlik.... https://www.tradingview.com/x/0V2aF42V/ böyle...
bence eklemeye deðmez....
Fibonacci Optimal Entry Zone [OTE] (Zeiierman) https://tr.tradingview.com/v/PbuqFZ9F/
bu kod eklense....görüntü bu...https://www.tradingview.com/x/XwFOjLvd/
Fibonacci Entry Bands [AlgoAlpha] https://tr.tradingview.com/v/UkJ3jOEF/
bu kod sadeleþtirilip kullanýlsa görüntü bu.....https://www.tradingview.com/x/kzo810he/
https://www.tradingview.com/x/DPSjRNwi/ https://www.tradingview.com/x/Qhok1gDb/
bar renklendirmesi ve trend çizgisini takipte daha güzel gibi oldu...
sade görüntü....https://www.tradingview.com/x/4UAE8JMT/Alýntý:
Originally Posted by @yörük@
kodu
PHP Code://@version=6
indicator(title = 'kombine edilmiþtir dilediðiniz deðiþikliði ve deðer deðiþimlerini yapabilirsiniz keyif sizin', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
///////////////////////////////////////////////////
//@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]
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//Rope
plot(rope, linewidth = 3, color = col, title = "Trend", force_overlay = true)
/////////////////////////////
//@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)
src = input.source(hlc3, "Source", group=grp1, tooltip="Price source used for band calculations", display = display.data_window)
len = input.int(21, "Length", group=grp1, tooltip="Length for the basis calculation", display = display.data_window)
atrLen = input.int(14, "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(src, len), len)
vol = useATR ? ta.atr(atrLen) : ta.stdev(src, len)
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="F Trend", color=gray, linewidth=1)
//upper1_plot = plot(trend == -1 ? upper1 : na, title="Upper 0.618", color=color.new(red, 60), style=plot.style_linebr)
upper4_plot = plot(trend == -1 ? upper4 : na, title="Upper 2.618", color=color.new(red, 30), style=plot.style_linebr)
//lower1_plot = plot(trend == 1 ? lower1 : na, title="Lower 0.618", color=color.new(green, 60), style=plot.style_linebr)
lower4_plot = plot(trend == 1 ? lower4 : na, title="Lower 2.618", color=color.new(green, 30), style=plot.style_linebr)
//plot(trend == -1 ? upper2 : na, title="Upper 1.0", color=color.new(red, 50), style=plot.style_linebr)
//plot(trend == -1 ? upper3 : na, title="Upper 1.618", color=color.new(red, 40), style=plot.style_linebr)
//plot(trend == 1 ? lower2 : na, title="Lower 1.0", color=color.new(green, 50), style=plot.style_linebr)
//plot(trend == 1 ? lower3 : na, title="Lower 1.618", color=color.new(green, 40), style=plot.style_linebr)
aslýnda kodu...görsel daha sadeleþtirsek....https://www.tradingview.com/x/DTfp80Bi/
https://www.tradingview.com/x/zPefReJy/
ve görüntüdeki gibi....kesiþime strateji konsa....daha kolay anlaþýlýr gibi olacak...
Dynamic Flow Ribbons [BigBeluga] https://tr.tradingview.com/v/hRtkESO4/
bu kodu siz olsanýz ekler miydiniz....
https://www.tradingview.com/x/0OKltgLn/
https://www.tradingview.com/x/RBpitZz4/
https://www.tradingview.com/x/JN0xz5dR/
ben eklemezdim....neredeyse ayný hesaplama var gibi.....
kalabalýk yapar bence... gerek yok...
SMA/EMA Trade Signal https://tr.tradingview.com/v/bk7MwPZd/
https://www.tradingview.com/x/491aJRFU/
görüntüye bakýnca uzak durmak gerektiði hemen anlaþýlýr....stratejide hata var....bence kullanýlmamalý...
bar renklendirme koyalým...macd hesaplamalý...
MACD Breakout SuperCandles https://tr.tradingview.com/v/rW20MRXs/ kod bu...
https://www.tradingview.com/x/SieC4woJ/ kodun görüntüsü...
https://www.tradingview.com/x/97VWteZG/ kombie ile beraber görüntüsü...
kodda bar renklerinin açýklamasý yazýyor....Alýntý:
Originally Posted by @yörük@
yeþil al, mavi güçlü al, sarý konsildasyon, kýrmýzý sat, ben beyaza çevirdim güçlü sat, siyah nötr anlamýnda....
https://www.tradingview.com/x/2tDHEPsm/
https://www.tradingview.com/x/OIoSBID5/
PHP Code://@version=6
indicator(title = 'kombine edilmiþtir dilediðiniz deðiþikliði ve deðer deðiþimlerini yapabilirsiniz keyif sizin', shorttitle = '.', overlay = true, max_lines_count = 500, max_labels_count=500)
///////////////////////////////////////////////////
//@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]
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//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
///_____________________________________________________________________________________________________________________
//Rope
plot(rope, linewidth = 3, color = col, title = "Trend", force_overlay = true)
/////////////////////////////
//@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)
src = input.source(hlc3, "Source", group=grp1, tooltip="Price source used for band calculations", display = display.data_window)
len = input.int(21, "Length", group=grp1, tooltip="Length for the basis calculation", display = display.data_window)
atrLen = input.int(14, "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(src, len), len)
vol = useATR ? ta.atr(atrLen) : ta.stdev(src, len)
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="F Trend", color=gray, linewidth=1)
///////////////////////////
//@version=6
//-----------------------------------------
// User Inputs - Time Frames & Display Settings
//-----------------------------------------
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(3, 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.blue, title='SUPERBULL Body', group=groupBody)
bullBodyColor = input.color(color.green, title='Bullish Body', group=groupBody)
baseBodyColor = input.color(color.yellow, title='Basing Body', group=groupBody)
bearBodyColor = input.color(color.red, title='Bearish Body', group=groupBody)
sbearBodyColor = input.color(color.maroon, title='SUPERBEAR Body', group=groupBody)
ghostBodyColor = input.color(color.black, title='Ghost Candle Body (No Match)', group=groupBody)
groupBorder = 'Candle Color: Border & Wick'
sbBorderColor = input.color(color.blue, title='SUPERBULL Border/Wick', group=groupBorder)
bullBorderColor = input.color(color.green, title='Bullish Border/Wick', group=groupBorder)
baseBorderColor = input.color(color.yellow, title='Basing Border/Wick', group=groupBorder)
bearBorderColor = input.color(color.red, title='Bearish Border/Wick', group=groupBorder)
sbearBorderColor = input.color(color.maroon, title='SUPERBEAR Border/Wick', group=groupBorder)
ghostBorderColor = input.color(color.black, title='Ghost Candle Border/Wick (No Match)', 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='Colored Candles',
color=candleBodyColor,
bordercolor=candleBorderWickColor,
wickcolor=candleBorderWickColor)
///////////////////////////////
Moving Average Shift [ChartPrime] https://tr.tradingview.com/v/aApUyBnk/
görüntüde bar renklendiren kod bu.....https://www.tradingview.com/x/ncgkHTbr/ 10 deðeri kullanýldý....
pembe ise sma.. 40 deðeri kullanýlarak....filtreleme yapýyor....
Hodrick-Prescott Cycle Component (YavuzAkbay) https://tr.tradingview.com/v/rGcdoCKx/
bu kod güzel....fiyat hareketinin yüzdesiyle... kanal ciziyor gibi düþünün......
bakýnýz....https://www.tradingview.com/x/wG8PfC4s/
sadeleþtirilecek...kendime notPHP Code:
//@version=6
indicator(title="Parabolic SAR Deviation [BigBeluga]", shorttitle="...", overlay=true, max_lines_count = 500, max_labels_count = 500)
//@version=6
start = input(0.)
increment = input(0.1)
maximum = input(0.9, "Max Value")
//-------------------------------------------------------------------------------------
// SAR calculation for the chart's main timeframe
//-------------------------------------------------------------------------------------
out1 = ta.sar(start, increment, maximum)
plot_color = close > out1 ? color.rgb(5, 182, 64) : close < out1 ? color.rgb(169, 7, 7) : na
//-------------------------------------------------------------------------------------
// Table settings
//-------------------------------------------------------------------------------------
show_header = input(false, title="Show header?", group='Table Settings')
dashboard_position = input.string("Top center", title="Position", options=["Top right", "Bottom right", "Top left", "Bottom left", "Top center", "Bottom 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 = input.string("🔵", title="Uptrend indicator", group='Table Settings')
//downtrend_indicator = input.string("🟠", title="Downtrend indicator", group='Table Settings')
uptrend_indicator = "🔵"
downtrend_indicator = "🟠"
//--------------------------------------------------------------------------------------
// Timeframe settings
// User selects 10 different timeframes
//--------------------------------------------------------------------------------------
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")
//--------------------------------------------------------------------------------------
// Table positioning and sizing
//--------------------------------------------------------------------------------------
var table_position = dashboard_position == 'Top center' ? position.top_center :
dashboard_position == 'Top left' ? position.top_left :
dashboard_position == 'Top center' ? position.top_center :
dashboard_position == 'Bottom right' ? position.bottom_right :
dashboard_position == 'Bottom left' ? position.bottom_left :
dashboard_position == 'Bottom center' ? position.bottom_center :
dashboard_position == 'Middle right' ? position.middle_right : position.middle_right
var table_text_size = text_size == 'Normal' ? size.normal :
text_size == 'Large' ? size.large :
text_size == 'Tiny' ? size.tiny :
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) )
//--------------------------------------------------------------------------------------
// Function to determine trend status
//--------------------------------------------------------------------------------------
get_trend_status(trend_value) =>
is_uptrend = close > trend_value
candle_now = is_uptrend ? uptrend_indicator : downtrend_indicator
candle_now
//--------------------------------------------------------------------------------------
// Calculate trend and SAR value for all selected timeframes
//--------------------------------------------------------------------------------------
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)
//////////////////////////
//@version=6
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
//float start = input.float(0.004, step = 0.001, group = "SAR")
//float increment = input.float(0.004, step = 0.001, group = "SAR")
//int maximum = 1
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
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
out = ta.sma(close,50)
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 > out
bool trend_up = ta.crossover(close, out) and barstate.isconfirmed
bool trend_dn = ta.crossunder(close, out) and barstate.isconfirmed
color trend_col = trend ? col_up : col_dn
// }
// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
if prices
if trend_up
label.new(bar_index, out, "▲\n" + str.tostring(close, "#,###.####"), style=label.style_label_up, textcolor = trend_col, color = color_na)
if trend_dn
label.new(bar_index, out, str.tostring(close, "#,###.####") + "\n▼", style=label.style_label_down, textcolor = trend_col, color = color_na)
deviation_levels(trend)
// }
/////////////////////
//////////
SAR = ta.sar(0., 0.1, 0.9)
sqzOn = ta.valuewhen(open[0] < SAR, SAR, 0)
sqzOff = ta.valuewhen(open[0] > SAR, SAR, 0)
BE = ta.valuewhen(SAR < sqzOn, SAR + 2 * (sqzOn - SAR), 0)
plot(BE, title = 'BE', linewidth = 2, style = plot.style_cross, color = color.new(color.aqua, 50))
SE = ta.valuewhen(SAR > sqzOff, SAR - 2 * (SAR - sqzOff), 0)
plot(SE, title = 'SE', linewidth = 2, style = plot.style_cross, color = color.new(color.aqua, 50))
/////////////////
s13 = ta.sar(0, 0.1, 0.9)
lookBack13 = input(20)
multi13 = input.float(2, 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))
bsign = plot(b123, title = 'Sar-Üst Kanal ', color = color.new(color.green, 100), linewidth = 2)
ssign = plot(s232, title = 'Sar-Alt Kanal ', color = color.new(color.red, 100), linewidth = 2)
//////////////////
PHP Code:// Inputs
string TrendMode = input.string('Normal', 'Trend Mode', options = ['Tight', 'Normal', 'Loose', 'FOMC', 'Net'], group = 'Settings', tooltip = 'There are several trend modes available. The mods are lined up based on the aggressiveness of the ATR. Tight & Normal modes are the going to flip way much often whereas the Loose or FOMC will provide much higher wiggle room. The good rule of thumb to use is to just stick with first two modes when trading less volatile sessions or ranges, and use the other two on fast moving expanding environments. The Net mode provides the combination of all modes in one giant net. Some might prefer this mode since it suits well to the scale in scale out methods. ')
string HTFMode = input.string('Auto', 'HTF Mode', options = ['Auto', 'Manual'], group = 'Settings', tooltip = 'Changes the higher time frame mode. The HTF mode set to auto will automatically change the HTF Trend System time frame for you. The auto mode is choosing the most suitable time frames based on the pre-defined time frame pairs that are the most suitable ones. If you prefer your own time frame choose the manual mode.')
TimeFrameM = input.timeframe('60', 'HTF Aggregation', options = ['1', '2', '3', '5', '10', '15', '20', '30', '45', '60', '120', '180', '240', 'D', '2D', '3D', '4D', 'W', '2W', '3W', 'M', '2M', '3M'], group = 'Settings', tooltip = 'Set the manual time frame for the HTF Trend System.')
ShowTrendBars = input(defval = true, title = 'Show Trend Bars', group = 'Trend Bars', tooltip = 'Trend Bars are based on the DMI and ADX indicators. Whenever the DMI is bearish and ADX is above 20 the candles paint themselfs red. And vice versa for the green candles and bullish DMI. Whenever the ADX falls below the 20, candles are netural which means there is no real trend in place.')
TrendBarBullish = input(#27c22e, title = 'Bullish', group = 'Trend Bars')
TrendBarBearish = input(#ff0000, title = 'Bearish', group = 'Trend Bars')
TrendBarNeutral = input(#f4f4ee, title = 'Neutral', group = 'Trend Bars')
ShowTrend = input(defval = true, title = 'Show Trend Line', group = 'Trend Line', tooltip = 'Trend Line is the first part of the L&L Trend System. The trend line is nothing simplier than the 13 exponential moving average. The color of the Trend Line depends on the position of multiple exponential averages and whether they are stacked on top of each other or not.')
TrendBullish = input(#27c22e, title = 'Bullish', group = 'Trend Line')
TrendBearish = input(#ff0000, title = 'Bearish', group = 'Trend Line')
TrendNeutral = input(#f4f4ee, title = 'Neutral', group = 'Trend Line')
ShowStop = input(defval = true, title = 'Show Stop Line', group = 'Stop Line', tooltip = 'Stop Line is the main and most important part of the system. It is based on a special ATR calculation that takes into consideration the past ATRs and prices of the 13 EMA. Stop Line provides zones that no moving average can. To make it simple it is something like a moving average that uses the ATR not the average price of the previous bars.')
StopBullish = input(#27c22e, title = 'Bullish', group = 'Stop Line')
StopBearish = input(#ff0000, title = 'Bearish', group = 'Stop Line')
ShowTrend2 = input(defval = false, title = 'Show HTF Trend Line', group = 'Higher Time Frame Trend Line', tooltip = 'Higher Time Frame Trend Line.')
TrendBullish2 = input(#27c22e, title = 'Bullish', group = 'Higher Time Frame Trend Line')
TrendBearish2 = input(#ff0000, title = 'Bearish', group = 'Higher Time Frame Trend Line')
TrendNeutral2 = input(#f4f4ee, title = 'Neutral', group = 'Higher Time Frame Trend Line')
ShowStop2 = input(defval = false, title = 'Show HTF Stop Line', group = 'Higher Time Frame Stop Line', tooltip = 'Higher Time Frame Stop Line')
StopBullish2 = input(#27c22e, title = 'Bullish', group = 'Higher Time Frame Stop Line')
StopBearish2 = input(#ff0000, title = 'Bearish', group = 'Higher Time Frame Stop Line')
ShowCloud = input(defval = true, title = 'Show Cloud', group = 'Trend Cloud', tooltip = 'Cloud will paint the area behind the Trend Line and Stop Line with custom color.')
CloudBullish = input(color.rgb(39, 194, 46, 85), title = 'Bullish', group = 'Trend Cloud')
CloudBearish = input(color.rgb(255, 0, 0, 85), title = 'Bearish', group = 'Trend Cloud')
ShowHTFCloud = input(defval = false, title = 'Show HTF Cloud', group = 'Higher Time Frame Trend Cloud', tooltip = 'Higher Time Frame Cloud.')
CloudBullish2 = input(color.rgb(39, 194, 46, 85), title = 'Bullish', group = 'Higher Time Frame Trend Cloud')
CloudBearish2 = input(color.rgb(255, 0, 0, 85), title = 'Bearish', group = 'Higher Time Frame Trend Cloud')
// Trend Bars (DMI Colored Candles)
BullishDMI = high - high[1] > low[1] - low and high - high[1] > 0 ? high - high[1] : 0
BearishDMI = low[1] - low > high - high[1] and low[1] - low > 0 ? low[1] - low : 0
DMIUp = 100 * ta.rma(BullishDMI, 14) / ta.rma(ta.tr(true), 14)
DMIDown = 100 * ta.rma(BearishDMI, 14) / ta.rma(ta.tr(true), 14)
ADXx = DMIUp + DMIDown > 0 ? 100 * math.abs(DMIUp - DMIDown) / (DMIUp + DMIDown) : na
ADX = ta.rma(ADXx, 14)
ColorBars = ShowTrendBars and DMIUp > DMIDown and ADX > 20 ? TrendBarBullish : ShowTrendBars and DMIUp < DMIDown and ADX > 20 ? TrendBarBearish : ShowTrendBars ? TrendBarNeutral : na
barcolor(color = ColorBars, editable = false)
// Trend System (First Time Frame)
ema8 = ta.vwma(close, 8)
ema13 = ta.vwma(close, 13)
ema21 = ta.vwma(close, 21)
ema34 = ta.vwma(close, 34)
emaup = ema8 > ema13 and ema13 > ema21 and ema21 > ema34
emadn = ema8 < ema13 and ema13 < ema21 and ema21 < ema34
Trend = ta.ema(close, 13)
TrendColor = ShowTrend and emadn and close <= Trend ? TrendBearish : ShowTrend and emaup and close >= Trend ? TrendBullish : ShowTrend ? TrendNeutral : na
plot(Trend, title = 'Atr-Trend-1', color = TrendColor, linewidth = 2, editable = false)
ATRLength = if TrendMode == 'Tight'
60
else if TrendMode == 'Normal'
80
else if TrendMode == 'Loose'
100
else if TrendMode == 'FOMC'
120
else if TrendMode == 'Net'
140
ATR = ATRLength / 100 * ta.ema(ta.tr(true), 8)
Up = close > Trend + ATR
Down = close < Trend - ATR
var T = 0.0
T := Up ? 1 : Down ? -1 : T[1]
StopLineColor = ShowStop and T == 1 ? StopBullish : ShowStop ? StopBearish : na
plotchar(T == 1 ? Trend - ATR : T == -1 ? Trend + ATR : T[1], title = 'StopLine', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor, editable = false)
ATRA = (ATRLength - 20) / 100 * ta.ema(ta.tr(true), 8)
Up11 = close > Trend + ATRA
Down11 = close < Trend - ATRA
var T11 = 0.0
T11 := Up11 ? 1 : Down11 ? -1 : T11[1]
StopLineColor1 = ShowStop and T11 == 1 ? StopBullish : ShowStop ? StopBearish : na
plotchar(T11 == 1 ? Trend - ATRA : T11 == -1 ? Trend + ATRA : T11[1], title = 'StopLine2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor1, editable = false)
ATRNET = TrendMode == 'Net' ? (ATRLength - 40) / 100 * ta.ema(ta.tr(true), 8) : na
UpNET = close > Trend + ATRNET
DownNET = close < Trend - ATRNET
var TNET = 0.0
TNET := UpNET ? 1 : DownNET ? -1 : TNET[1]
StopLineColorNET = ShowStop and TNET == 1 ? StopBullish : ShowStop ? StopBearish : na
plotchar(TNET == 1 ? Trend - ATRNET : TNET == -1 ? Trend + ATRNET : TNET[1], title = 'StopLineNET', char = '-', location = location.absolute, size = size.tiny, color = StopLineColorNET, editable = false)
ATRNET1 = TrendMode == 'Net' ? (ATRLength - 60) / 100 * ta.ema(ta.tr(true), 8) : na
UpNET1 = close > Trend + ATRNET1
DownNET1 = close < Trend - ATRNET1
var TNET1 = 0.0
TNET1 := UpNET1 ? 1 : DownNET1 ? -1 : TNET1[1]
StopLineColorNET1 = ShowStop and TNET1 == 1 ? StopBullish : ShowStop ? StopBearish : na
plotchar(TNET1 == 1 ? Trend - ATRNET1 : TNET1 == -1 ? Trend + ATRNET1 : TNET1[1], title = 'StopLineNET1', char = '-', location = location.absolute, size = size.tiny, color = StopLineColorNET1, editable = false)
ATRNET2 = TrendMode == 'Net' ? (ATRLength - 80) / 100 * ta.ema(ta.tr(true), 8) : na
UpNET2 = close > Trend + ATRNET2
DownNET2 = close < Trend - ATRNET2
var TNET2 = 0.0
TNET2 := UpNET2 ? 1 : DownNET2 ? -1 : TNET2[1]
StopLineColorNET2 = ShowStop and TNET2 == 1 ? StopBullish : ShowStop ? StopBearish : na
plotchar(TNET2 == 1 ? Trend - ATRNET2 : TNET2 == -1 ? Trend + ATRNET2 : TNET2[1], title = 'StopLineNET2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColorNET2, editable = false)
// Higher Time Frame Aggregations
TimeFrameA = timeframe.period == '1' ? '5' : timeframe.period == '2' ? '5' : timeframe.period == '3' ? '5' : timeframe.period == '4' ? '5' : timeframe.period == '5' ? '30' : timeframe.period == '10' ? '30' : timeframe.period == '15' ? '30' : timeframe.period == '30' ? '240' : timeframe.period == '60' ? '240' : timeframe.period == '120' ? '240' : timeframe.period == '180' ? 'D' : timeframe.period == '240' ? 'D' : timeframe.period == 'D' ? 'W' : timeframe.period == 'W' ? 'M' : timeframe.period == 'M' ? '3M' : timeframe.period
TimeFrame = if HTFMode == 'Auto'
TimeFrameA
else if HTFMode == 'Manual'
TimeFrameM
// Trend System (Second Time Frame)
ema82 = request.security(syminfo.tickerid, TimeFrame, ta.vwma(close, 8))
ema132 = request.security(syminfo.tickerid, TimeFrame, ta.vwma(close, 13))
ema212 = request.security(syminfo.tickerid, TimeFrame, ta.vwma(close, 21))
ema342 = request.security(syminfo.tickerid, TimeFrame, ta.vwma(close, 34))
emaup2 = ema82 > ema132 and ema132 > ema212 and ema212 > ema342
emadn2 = ema82 < ema132 and ema132 < ema212 and ema212 < ema342
Trend2 = request.security(syminfo.tickerid, TimeFrame, ta.ema(close, 13))
TrendColor2 = ShowTrend2 and emadn2 and request.security(syminfo.tickerid, TimeFrame, close) <= Trend2 ? TrendBearish2 : ShowTrend2 and emaup2 and request.security(syminfo.tickerid, TimeFrame, close) >= Trend2 ? TrendBullish2 : ShowTrend2 ? TrendNeutral2 : na
plot(Trend2, title = 'Atr-Trend-2', color = TrendColor2, linewidth = 2, editable = false)
ATRLength2 = if TrendMode == 'Tight'
60
else if TrendMode == 'Normal'
80
else if TrendMode == 'Loose'
100
else if TrendMode == 'FOMC'
120
else if TrendMode == 'Net'
140
ATR2 = ATRLength2 / 100 * request.security(syminfo.tickerid, TimeFrame, ta.ema(ta.tr(true), 8))
Up2 = request.security(syminfo.tickerid, TimeFrame, close) > Trend2 + ATR2
Down2 = request.security(syminfo.tickerid, TimeFrame, close) < Trend2 - ATR2
var T2 = 0.0
T2 := Up2 ? 1 : Down2 ? -1 : T2[1]
StopLineColor2 = ShowStop2 and T2 == 1 ? StopBullish2 : ShowStop2 ? StopBearish2 : na
plotchar(T2 == 1 ? Trend2 - ATR2 : T2 == -1 ? Trend2 + ATR2 : T2[1], title = 'StopLine2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor2, editable = false)
ATR2A = (ATRLength2 - 20) / 100 * request.security(syminfo.tickerid, TimeFrame, ta.ema(ta.tr(true), 8))
Up2A = request.security(syminfo.tickerid, TimeFrame, close) > Trend2 + ATR2A
Down2A = request.security(syminfo.tickerid, TimeFrame, close) < Trend2 - ATR2A
var T2A = 0.0
T2A := Up2A ? 1 : Down2A[1] ? -1 : T2A[1]
StopLineColor2A = ShowStop2 and T2A == 1 ? StopBullish2 : ShowStop2 ? StopBearish2 : na
plotchar(T2A == 1 ? Trend2 - ATR2A : T2A == -1 ? Trend2 + ATR2A : T2A[1], title = 'StopLine2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor2A, editable = false)
ATR2ANET = TrendMode == 'Net' ? (ATRLength2 - 40) / 100 * request.security(syminfo.tickerid, TimeFrame, ta.ema(ta.tr(true), 8)) : na
Up2ANET = request.security(syminfo.tickerid, TimeFrame, close) > Trend2 + ATR2ANET
Down2ANET = request.security(syminfo.tickerid, TimeFrame, close) < Trend2 - ATR2ANET
var T2ANET = 0.0
T2ANET := Up2ANET ? 1 : Down2ANET[1] ? -1 : T2ANET[1]
StopLineColor2ANET = ShowStop2 and T2ANET == 1 ? StopBullish2 : ShowStop2 ? StopBearish2 : na
plotchar(T2ANET == 1 ? Trend2 - ATR2ANET : T2ANET == -1 ? Trend2 + ATR2ANET : T2ANET[1], title = 'StopLine2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor2ANET, editable = false)
ATR2ANET1 = TrendMode == 'Net' ? (ATRLength2 - 60) / 100 * request.security(syminfo.tickerid, TimeFrame, ta.ema(ta.tr(true), 8)) : na
Up2ANET1 = request.security(syminfo.tickerid, TimeFrame, close) > Trend2 + ATR2ANET1
Down2ANET1 = request.security(syminfo.tickerid, TimeFrame, close) < Trend2 - ATR2ANET1
var T2ANET1 = 0.0
T2ANET1 := Up2ANET1 ? 1 : Down2ANET1[1] ? -1 : T2ANET1[1]
StopLineColor2ANET1 = ShowStop2 and T2ANET1 == 1 ? StopBullish2 : ShowStop2 ? StopBearish2 : na
plotchar(T2ANET1 == 1 ? Trend2 - ATR2ANET1 : T2ANET1 == -1 ? Trend2 + ATR2ANET1 : T2ANET1[1], title = 'StopLine2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor2ANET1, editable = false)
ATR2ANET2 = TrendMode == 'Net' ? (ATRLength2 - 80) / 100 * request.security(syminfo.tickerid, TimeFrame, ta.ema(ta.tr(true), 8)) : na
Up2ANET2 = request.security(syminfo.tickerid, TimeFrame, close) > Trend2 + ATR2ANET2
Down2ANET2 = request.security(syminfo.tickerid, TimeFrame, close) < Trend2 - ATR2ANET2
var T2ANET2 = 0.0
T2ANET2 := Up2ANET2 ? 1 : Down2ANET2[1] ? -1 : T2ANET2[1]
StopLineColor2ANET2 = ShowStop2 and T2ANET2 == 1 ? StopBullish2 : ShowStop2 ? StopBearish2 : na
plotchar(T2ANET2 == 1 ? Trend2 - ATR2ANET2 : T2ANET2 == -1 ? Trend2 + ATR2ANET2 : T2ANET2[1], title = 'StopLine2', char = '-', location = location.absolute, size = size.tiny, color = StopLineColor2ANET2, editable = false)
// Trend Clouds
p1 = plot(Trend, title = 'Trend Line', color = TrendColor, linewidth = 2, display = display.none, editable = false)
p2 = plot(T == 1 ? Trend - ATR : T == -1 ? Trend + ATR : T[1], title = 'StopLine ', color = StopLineColor, linewidth = 2, display = display.none, editable = false)
Cloud = ShowCloud and T == 1 ? CloudBullish : ShowCloud ? CloudBearish : na
//fill(p1, p2, title = 'TrendCloud', color = Cloud, editable = false)
p3 = plot(Trend2, title = 'Trend Line 2', color = TrendColor2, linewidth = 2, display = display.none, editable = false)
p4 = plot(T2 == 1 ? Trend2 - ATR2 : T2 == -1 ? Trend2 + ATR2 : T2[1], title = 'StopLine 2', color = StopLineColor2, linewidth = 2, display = display.none, editable = false)
Cloud2 = ShowHTFCloud and T2 == 1 ? CloudBullish2 : ShowHTFCloud ? CloudBearish2 : na
//fill(p3, p4, title = 'TrendCloud2', color = Cloud2, editable = false)