커뮤니티
지표 변환 문의드립니다.
2025-04-28 20:43:02
316
글번호 190477
귀사의 무궁한 발전을 기원합니다
안녕하세요,수고 많으십니다
트레이딩뷰 지표 변환해 주시면 대단히 감사하겠습니다.
주석이 좀 많네요.
챠트상에 봉그리기 비쥬얼은 구현하기 힘들면 넘어가시고, 매수,매도 신호만 ▲, ▼ 이런식으로 넣어 주시면 안될까요. 글자가 깨지면 수식은 첨부화일에 있어요.
+++++++++
//@version=6
indicator(title="Adaptive Trend Flow [QuantAlgo]", overlay=true, max_labels_count=500)
// ╔════════════════════════════════╗ //
// ║ USER-DEFINED SETTINGS ║ //
// ╚════════════════════════════════╝ //
// Input Groups
var string trend_settings = "════════ Trend Settings ════════"
var string visual_settings = "════════ Visualization Settings ════════"
// Tooltips
tooltip_length = "Length of the trend calculation period. Higher values create smoother signals."
tooltip_smooth = "Smoothing period for volatility. Higher values reduce noise."
tooltip_sens = "Multiplier for volatility bands. Higher values create wider bands."
tooltip_bars = "Enable/disable bar coloring based on trend direction"
tooltip_bg = "Enable/disable background gradient coloring"
tooltip_signals = "Enable/disable signal markers on trend changes"
// Trend Settings
length = input.int(10, "Main Length", minval=2,
group=trend_settings, tooltip=tooltip_length)
smooth_len = input.int(14, "Smoothing Length", minval=2,
group=trend_settings, tooltip=tooltip_smooth)
sensitivity = input.float(2.0, "Sensitivity", step=0.1,
group=trend_settings, tooltip=tooltip_sens)
// Visualization Settings
bullcolor = input.color(#00ffaa, "Bullish Color", group=visual_settings)
bearcolor = input.color(#ff0000, "Bearish Color", group=visual_settings)
showbars = input.bool(true, "Color Bars?", group=visual_settings, tooltip=tooltip_bars)
showbg = input.bool(true, "Background Color?", group=visual_settings, tooltip=tooltip_bg)
showsignals = input.bool(true, "Show Signals?", group=visual_settings, tooltip=tooltip_signals)
// ╔════════════════════════════════╗ //
// ║ TREND CALCULATIONS ║ //
// ╚════════════════════════════════╝ //
calculate_trend_levels() =>
typical = hlc3
fast_ema = ta.ema(typical, length)
slow_ema = ta.ema(typical, length * 2)
basis = (fast_ema + slow_ema) / 2
vol = ta.stdev(typical, length)
smooth_vol = ta.ema(vol, smooth_len)
upper = basis + (smooth_vol * sensitivity)
lower = basis - (smooth_vol * sensitivity)
[basis, upper, lower]
get_trend_state(upper, lower, basis) =>
var float prev_level = na
var int trend = 0
if na(prev_level)
trend := close > basis ? 1 : -1
prev_level := trend == 1 ? lower : upper
if trend == 1
if close < lower
trend := -1
prev_level := upper
else
prev_level := lower
else
if close > upper
trend := 1
prev_level := lower
else
prev_level := upper
[trend, prev_level]
[basis, upper, lower] = calculate_trend_levels()
[trend, level] = get_trend_state(upper, lower, basis)
// ╔════════════════════════════════╗ //
// ║ VISUALIZATION ║ //
// ╚════════════════════════════════╝ //
// Signal detection
long_signal = trend == 1 and trend[1] == -1
short_signal = trend == -1 and trend[1] == 1
// Plot average/basis line
p2 = plot(basis, color=trend == 1 ? bullcolor : bearcolor, linewidth=2)
// Plot trend line with breaks
p1 = plot(level,
color=close > level ? bullcolor : bearcolor,
linewidth=2,
style=plot.style_linebr)
// Plot additional trend line
plot(level,
color=close > level ? bullcolor : bearcolor,
linewidth=2,
style=plot.style_linebr)
// Add labels for crossovers
if showsignals and ta.crossunder(close, level)
label.new(bar_index, level, "𝑺",
color=bearcolor,
textcolor=chart.fg_color,
style=label.style_label_lower_right)
if showsignals and ta.crossover(close, level)
label.new(bar_index, level, "𝑳",
color=bullcolor,
textcolor=chart.bg_color,
style=label.style_label_upper_right)
// Background gradient coloring
var float intensity = 0.0
var int prev_trend = 0
// Reset intensity on trend change
if trend != prev_trend
intensity := 0.0
prev_trend := trend
// Increment intensity based on trend
intensity := trend == 1 ? math.min(intensity + 1, 20) : trend == -1 ? math.min(intensity + 1, 20) : intensity
// Calculate gradient colors
color grad_color = trend == 1 ?
color.from_gradient(intensity, 0, 20, color.new(bullcolor, 95), color.new(bullcolor, 80)) :
color.from_gradient(intensity, 0, 20, color.new(bearcolor, 95), color.new(bearcolor, 80))
bgcolor(showbg ? grad_color : na)
// Fill between the lines
fill(p1, p2, level, basis, trend == 1 ? bullcolor : bearcolor, na)
fill(p1, p2, level, basis, trend == 1 ? bullcolor : bearcolor, na)
// Bar Coloring
barcolor(showbars ? (trend == 1 ? color.new(bullcolor, 15) : color.new(bearcolor, 15)) : na)
// ╔════════════════════════════════╗ //
// ║ ALERTS ║ //
// ╚════════════════════════════════╝ //
alertcondition(long_signal, title="Adaptive Trend Flow Long",
message="Adaptive Trend Flow Long {{exchange}}:{{ticker}}")
alertcondition(short_signal, title="Adaptive Trend Flow Short",
message="Adaptive Trend Flow Short {{exchange}}:{{ticker}}")
// ╔════════════════════════════════╗ //
// ║ CREATED BY ║ //
// ╚════════════════════════════════╝ //
- 1. 191329_1.xlsx (0.01 MB)
답변 1
예스스탁 예스스탁 답변
2025-04-29 11:09:55
안녕하세요
예스스탁입니다.
input : length(10),smooth_len(14),sensitivity(2.0);
input : bullcolor(Cyan);
input : bearcolor(Red);
input : showbars(true);
input : showbg(true);
input : showsignals(true);
var : typical(0),fast_ema(0),slow_ema(0),basis(0);
var : vol(0),smooth_vol(0),upper(0),lower(0);
typical = (h+l+c)/3;
fast_ema = ema(typical, length);
slow_ema = ema(typical, length * 2);
basis = (fast_ema + slow_ema) / 2;
vol = std(typical, length);
smooth_vol = ema(vol, smooth_len);
upper = basis + (smooth_vol * sensitivity);
lower = basis - (smooth_vol * sensitivity);
var : Level(Nan),trend(0);
if IsNaN(level) == true Then
{
trend = iff(close > basis , 1 , -1);
level = iff(trend == 1 , lower , upper);
}
if trend == 1 Then
{
if close < lower Then
{
trend = -1;
level = upper;
}
else
{
level = lower;
}
}
else
{
if close > upper Then
{
trend = 1;
level = lower;
}
else
{
level = upper;
}
}
var : long_signal(False),short_signal(False),tx(0);
long_signal = trend == 1 and trend[1] == -1;
short_signal = trend == -1 and trend[1] == 1;
plot1(basis,"basis",iff(trend == 1 , bullcolor , bearcolor));
plot2(level,"level1",iff(close > level , bullcolor , bearcolor));
// Add labels for crossovers
if showsignals and CrossDown(close, level) Then
{
tx = Text_New(sDate,sTime,level,"▼");
Text_SetColor(tx,bearcolor);
Text_SetStyle(tx,2,1);
Text_SetSize(tx,20);
}
if showsignals and CrossUp(close, level) Then
{
tx = Text_New(sDate,sTime,level,"▲");
Text_SetColor(tx,bullcolor);
Text_SetStyle(tx,2,0);
Text_SetSize(tx,20);
}
즐거운 하루되세요
> knoll 님이 쓴 글입니다.
> 제목 : 지표 변환 문의드립니다.
> 귀사의 무궁한 발전을 기원합니다
안녕하세요,수고 많으십니다
트레이딩뷰 지표 변환해 주시면 대단히 감사하겠습니다.
주석이 좀 많네요.
챠트상에 봉그리기 비쥬얼은 구현하기 힘들면 넘어가시고, 매수,매도 신호만 ▲, ▼ 이런식으로 넣어 주시면 안될까요. 글자가 깨지면 수식은 첨부화일에 있어요.
+++++++++
//@version=6
indicator(title="Adaptive Trend Flow [QuantAlgo]", overlay=true, max_labels_count=500)
// ╔════════════════════════════════╗ //
// ║ USER-DEFINED SETTINGS ║ //
// ╚════════════════════════════════╝ //
// Input Groups
var string trend_settings = "════════ Trend Settings ════════"
var string visual_settings = "════════ Visualization Settings ════════"
// Tooltips
tooltip_length = "Length of the trend calculation period. Higher values create smoother signals."
tooltip_smooth = "Smoothing period for volatility. Higher values reduce noise."
tooltip_sens = "Multiplier for volatility bands. Higher values create wider bands."
tooltip_bars = "Enable/disable bar coloring based on trend direction"
tooltip_bg = "Enable/disable background gradient coloring"
tooltip_signals = "Enable/disable signal markers on trend changes"
// Trend Settings
length = input.int(10, "Main Length", minval=2,
group=trend_settings, tooltip=tooltip_length)
smooth_len = input.int(14, "Smoothing Length", minval=2,
group=trend_settings, tooltip=tooltip_smooth)
sensitivity = input.float(2.0, "Sensitivity", step=0.1,
group=trend_settings, tooltip=tooltip_sens)
// Visualization Settings
bullcolor = input.color(#00ffaa, "Bullish Color", group=visual_settings)
bearcolor = input.color(#ff0000, "Bearish Color", group=visual_settings)
showbars = input.bool(true, "Color Bars?", group=visual_settings, tooltip=tooltip_bars)
showbg = input.bool(true, "Background Color?", group=visual_settings, tooltip=tooltip_bg)
showsignals = input.bool(true, "Show Signals?", group=visual_settings, tooltip=tooltip_signals)
// ╔════════════════════════════════╗ //
// ║ TREND CALCULATIONS ║ //
// ╚════════════════════════════════╝ //
calculate_trend_levels() =>
typical = hlc3
fast_ema = ta.ema(typical, length)
slow_ema = ta.ema(typical, length * 2)
basis = (fast_ema + slow_ema) / 2
vol = ta.stdev(typical, length)
smooth_vol = ta.ema(vol, smooth_len)
upper = basis + (smooth_vol * sensitivity)
lower = basis - (smooth_vol * sensitivity)
[basis, upper, lower]
get_trend_state(upper, lower, basis) =>
var float prev_level = na
var int trend = 0
if na(prev_level)
trend := close > basis ? 1 : -1
prev_level := trend == 1 ? lower : upper
if trend == 1
if close < lower
trend := -1
prev_level := upper
else
prev_level := lower
else
if close > upper
trend := 1
prev_level := lower
else
prev_level := upper
[trend, prev_level]
[basis, upper, lower] = calculate_trend_levels()
[trend, level] = get_trend_state(upper, lower, basis)
// ╔════════════════════════════════╗ //
// ║ VISUALIZATION ║ //
// ╚════════════════════════════════╝ //
// Signal detection
long_signal = trend == 1 and trend[1] == -1
short_signal = trend == -1 and trend[1] == 1
// Plot average/basis line
p2 = plot(basis, color=trend == 1 ? bullcolor : bearcolor, linewidth=2)
// Plot trend line with breaks
p1 = plot(level,
color=close > level ? bullcolor : bearcolor,
linewidth=2,
style=plot.style_linebr)
// Plot additional trend line
plot(level,
color=close > level ? bullcolor : bearcolor,
linewidth=2,
style=plot.style_linebr)
// Add labels for crossovers
if showsignals and ta.crossunder(close, level)
label.new(bar_index, level, "𝑺",
color=bearcolor,
textcolor=chart.fg_color,
style=label.style_label_lower_right)
if showsignals and ta.crossover(close, level)
label.new(bar_index, level, "𝑳",
color=bullcolor,
textcolor=chart.bg_color,
style=label.style_label_upper_right)
// Background gradient coloring
var float intensity = 0.0
var int prev_trend = 0
// Reset intensity on trend change
if trend != prev_trend
intensity := 0.0
prev_trend := trend
// Increment intensity based on trend
intensity := trend == 1 ? math.min(intensity + 1, 20) : trend == -1 ? math.min(intensity + 1, 20) : intensity
// Calculate gradient colors
color grad_color = trend == 1 ?
color.from_gradient(intensity, 0, 20, color.new(bullcolor, 95), color.new(bullcolor, 80)) :
color.from_gradient(intensity, 0, 20, color.new(bearcolor, 95), color.new(bearcolor, 80))
bgcolor(showbg ? grad_color : na)
// Fill between the lines
fill(p1, p2, level, basis, trend == 1 ? bullcolor : bearcolor, na)
fill(p1, p2, level, basis, trend == 1 ? bullcolor : bearcolor, na)
// Bar Coloring
barcolor(showbars ? (trend == 1 ? color.new(bullcolor, 15) : color.new(bearcolor, 15)) : na)
// ╔════════════════════════════════╗ //
// ║ ALERTS ║ //
// ╚════════════════════════════════╝ //
alertcondition(long_signal, title="Adaptive Trend Flow Long",
message="Adaptive Trend Flow Long {{exchange}}:{{ticker}}")
alertcondition(short_signal, title="Adaptive Trend Flow Short",
message="Adaptive Trend Flow Short {{exchange}}:{{ticker}}")
// ╔════════════════════════════════╗ //
// ║ CREATED BY ║ //
// ╚════════════════════════════════╝ //
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