PINE LIBRARY
업데이트됨 TAUtilityLib

Library "TAUtilityLib"
Technical Analysis Utility Library - Collection of functions for market analysis, smoothing, scaling, and structure detection
log_snapshot(label1, val1, label2, val2, label3, val3, label4, val4, label5, val5)
Creates formatted log snapshot with 5 labeled values
Parameters:
label1 (string)
val1 (float)
label2 (string)
val2 (float)
label3 (string)
val3 (float)
label4 (string)
val4 (float)
label5 (string)
val5 (float)
Returns: void (logs to console)
f_get_next_tf(tf, steps)
Gets next higher timeframe(s) from current
Parameters:
tf (string): Current timeframe string
steps (string): "1 TF Higher" for next TF, any other value for 2 TFs higher
Returns: Next timeframe string or na if at maximum
f_get_prev_tf(tf)
Gets previous lower timeframe from current
Parameters:
tf (string): Current timeframe string
Returns: Previous timeframe string or na if at minimum
supersmoother(_src, _length)
Ehler's SuperSmoother - low-lag smoothing filter
Parameters:
_src (float): Source series to smooth
_length (simple int): Smoothing period
Returns: Smoothed series
butter_smooth(src, len)
Butterworth filter for ultra-smooth price filtering
Parameters:
src (float): Source series
len (simple int): Filter period
Returns: Butterworth smoothed series
f_dynamic_ema(source, dynamic_length)
Dynamic EMA with variable length
Parameters:
source (float): Source series
dynamic_length (float): Dynamic period (can vary bar to bar)
Returns: Dynamically adjusted EMA
dema(source, length)
Double Exponential Moving Average (DEMA)
Parameters:
source (float): Source series
length (simple int): Period for DEMA calculation
Returns: DEMA value
f_scale_percentile(primary_line, secondary_line, x)
Scales secondary line to match primary line using percentile ranges
Parameters:
primary_line (float): Reference series for target scale
secondary_line (float): Series to be scaled
x (int): Lookback bars for percentile calculation
Returns: Scaled version of secondary_line
calculate_correlation_scaling(demamom_range, demamom_min, correlation_range, correlation_min)
Calculates scaling factors for correlation alignment
Parameters:
demamom_range (float): Range of primary series
demamom_min (float): Minimum of primary series
correlation_range (float): Range of secondary series
correlation_min (float): Minimum of secondary series
Returns: [scale_factor, offset] tuple for alignment
getBB(src, length, mult, chartlevel)
Calculates Bollinger Bands with chart level offset
Parameters:
src (float): Source series
length (simple int): MA period
mult (simple float): Standard deviation multiplier
chartlevel (simple float): Vertical offset for plotting
Returns: [upper, lower, basis] tuple
get_mrc(source, length, mult, mult2, gradsize)
Mean Reversion Channel with multiple bands and conditions
Parameters:
source (float): Price source
length (simple int): Channel period
mult (simple float): First band multiplier
mult2 (simple float): Second band multiplier
gradsize (simple float): Gradient size for zone detection
Returns: [meanline, meanrange, upband1, loband1, upband2, loband2, condition]
analyzeMarketStructure(highFractalBars, highFractalPrices, lowFractalBars, lowFractalPrices, trendDirection)
Analyzes market structure for ChoCH and BOS patterns
Parameters:
highFractalBars (array<int>): Array of high fractal bar indices
highFractalPrices (array<float>): Array of high fractal prices
lowFractalBars (array<int>): Array of low fractal bar indices
lowFractalPrices (array<float>): Array of low fractal prices
trendDirection (int): Current trend (1=up, -1=down, 0=neutral)
Returns: [choch, bos, newTrend] - change signals and new trend direction
Technical Analysis Utility Library - Collection of functions for market analysis, smoothing, scaling, and structure detection
log_snapshot(label1, val1, label2, val2, label3, val3, label4, val4, label5, val5)
Creates formatted log snapshot with 5 labeled values
Parameters:
label1 (string)
val1 (float)
label2 (string)
val2 (float)
label3 (string)
val3 (float)
label4 (string)
val4 (float)
label5 (string)
val5 (float)
Returns: void (logs to console)
f_get_next_tf(tf, steps)
Gets next higher timeframe(s) from current
Parameters:
tf (string): Current timeframe string
steps (string): "1 TF Higher" for next TF, any other value for 2 TFs higher
Returns: Next timeframe string or na if at maximum
f_get_prev_tf(tf)
Gets previous lower timeframe from current
Parameters:
tf (string): Current timeframe string
Returns: Previous timeframe string or na if at minimum
supersmoother(_src, _length)
Ehler's SuperSmoother - low-lag smoothing filter
Parameters:
_src (float): Source series to smooth
_length (simple int): Smoothing period
Returns: Smoothed series
butter_smooth(src, len)
Butterworth filter for ultra-smooth price filtering
Parameters:
src (float): Source series
len (simple int): Filter period
Returns: Butterworth smoothed series
f_dynamic_ema(source, dynamic_length)
Dynamic EMA with variable length
Parameters:
source (float): Source series
dynamic_length (float): Dynamic period (can vary bar to bar)
Returns: Dynamically adjusted EMA
dema(source, length)
Double Exponential Moving Average (DEMA)
Parameters:
source (float): Source series
length (simple int): Period for DEMA calculation
Returns: DEMA value
f_scale_percentile(primary_line, secondary_line, x)
Scales secondary line to match primary line using percentile ranges
Parameters:
primary_line (float): Reference series for target scale
secondary_line (float): Series to be scaled
x (int): Lookback bars for percentile calculation
Returns: Scaled version of secondary_line
calculate_correlation_scaling(demamom_range, demamom_min, correlation_range, correlation_min)
Calculates scaling factors for correlation alignment
Parameters:
demamom_range (float): Range of primary series
demamom_min (float): Minimum of primary series
correlation_range (float): Range of secondary series
correlation_min (float): Minimum of secondary series
Returns: [scale_factor, offset] tuple for alignment
getBB(src, length, mult, chartlevel)
Calculates Bollinger Bands with chart level offset
Parameters:
src (float): Source series
length (simple int): MA period
mult (simple float): Standard deviation multiplier
chartlevel (simple float): Vertical offset for plotting
Returns: [upper, lower, basis] tuple
get_mrc(source, length, mult, mult2, gradsize)
Mean Reversion Channel with multiple bands and conditions
Parameters:
source (float): Price source
length (simple int): Channel period
mult (simple float): First band multiplier
mult2 (simple float): Second band multiplier
gradsize (simple float): Gradient size for zone detection
Returns: [meanline, meanrange, upband1, loband1, upband2, loband2, condition]
analyzeMarketStructure(highFractalBars, highFractalPrices, lowFractalBars, lowFractalPrices, trendDirection)
Analyzes market structure for ChoCH and BOS patterns
Parameters:
highFractalBars (array<int>): Array of high fractal bar indices
highFractalPrices (array<float>): Array of high fractal prices
lowFractalBars (array<int>): Array of low fractal bar indices
lowFractalPrices (array<float>): Array of low fractal prices
trendDirection (int): Current trend (1=up, -1=down, 0=neutral)
Returns: [choch, bos, newTrend] - change signals and new trend direction
릴리즈 노트
v2Added:
f_safeArrayGet(arr, index)
Safe array access that prevents out-of-bounds errors
Parameters:
arr (array<float>): The array to access (float array)
index (int): The index to access (can be negative or exceed array size)
Returns: The value at the safe index, or 0.0 if array is empty
f_safeArrayGetInt(arr, index)
Safe array access for integer arrays
Parameters:
arr (array<int>): The array to access (int array)
index (int): The index to access
Returns: The value at the safe index, or 0 if array is empty
f_safeArrayGetBool(arr, index)
Safe array access for boolean arrays
Parameters:
arr (array<bool>): The array to access (bool array)
index (int): The index to access
Returns: The value at the safe index, or false if array is empty
f_safeArrayGetString(arr, index)
Safe array access for string arrays
Parameters:
arr (array<string>): The array to access (string array)
index (int): The index to access
Returns: The value at the safe index, or empty string if array is empty
Updated:
f_scale_percentile(primary_line, secondary_line, lookback, percentile)
Scales secondary line to match primary line using percentile ranges
Parameters:
primary_line (float): Reference series for target scale
secondary_line (float): Series to be scaled
lookback (int): Lookback bars for percentile calculation
percentile (simple float)
Returns: Scaled version of secondary_line
Removed:
calculate_correlation_scaling(demamom_range, demamom_min, correlation_range, correlation_min)
Calculates scaling factors for correlation alignment
릴리즈 노트
v3Updated:
f_scale_percentile(primary_line, secondary_line, lookback, percentile, chart_level)
Scales secondary line to match primary line using percentile ranges
Parameters:
primary_line (float): Reference series for target scale
secondary_line (float): Series to be scaled
lookback (int): Lookback bars for percentile calculation
percentile (simple float)
chart_level (float)
Returns: Scaled version of secondary_line, with chart vertical offset
릴리즈 노트
v4Added:
getfractalSweepRange(fractalBar, fractalPrice, isFractalHigh, prevFractalBar, prevFractalWasHigh)
Enhanced function to get the true sweep range for fractals
Parameters:
fractalBar (int): Bar index of the current fractal
fractalPrice (float): Price of the current fractal (high for bearish, low for bullish)
isFractalHigh (bool): True if current fractal is a HIGH fractal, false for LOW
prevFractalBar (int): Bar index of the previous fractal
prevFractalWasHigh (bool): True if previous fractal was a HIGH fractal
Returns: [rangeHigh, rangeLow] tuple representing sweep range boundaries
릴리즈 노트
v5Added:
scale_for_subchart(primary_line, secondary_line, lookback, percentile, chart_level, offset_value, offset_is_percent)
Scales and offsets a series for subchart plotting using existing f_scale_percentile
Parameters:
primary_line (float): Reference series for scaling
secondary_line (float): Series to be scaled
lookback (int): Lookback period for percentile
percentile (simple float): Percentile value (e.g., 8 for 8th/92nd)
chart_level (float): Base chart level offset
offset_value (float): Additional offset from chart level
offset_is_percent (bool): If true, offset_value is % of primary range
Returns: Scaled and offset series ready for plotting
check_pivot_crossings(pivot_bars, pivot_prices, pivot_strengths, current_bar, current_price, is_high, max_age, max_touches)
Checks if price crosses through correlation/pivot lines and counts touches
Parameters:
pivot_bars (array<int>): Array of pivot bar indices
pivot_prices (array<float>): Array of pivot prices
pivot_strengths (array<float>): Array of pivot strengths/scores
current_bar (int): Current bar index being checked
current_price (float): Current price level
is_high (bool): True if checking high pivots, false for lows
max_age (int): Maximum age of pivots to check
max_touches (int): Maximum touches before pivot expires
Returns: [bullish_score, bearish_score, touch_count, touched_pivots_string, crossed_price]
create_tooltip(title, title_icon, section_titles, section_icons, param_names, param_values, param_icons, use_dividers)
Universal tooltip builder that formats structured data into tooltip text
Parameters:
title (string): Main tooltip title
title_icon (string): Unicode icon for the main title
section_titles (array<string>): Array of section titles
section_icons (array<string>): Array of section unicode icons
param_names (array<string>): Array of parameter names (use "|" to separate sections)
param_values (array<float>): Array of parameter values (parallel to param_names)
param_icons (array<string>): Array of parameter icons (parallel to param_names)
use_dividers (bool): Whether to add dividers between sections
Returns: Formatted tooltip string
create_tooltip_str(title, title_icon, section_titles, section_icons, param_names, param_values, param_icons, use_dividers)
Alternative version that accepts string values instead of floats
Parameters:
title (string): Main tooltip title
title_icon (string): Unicode icon for the main title
section_titles (array<string>): Array of section titles
section_icons (array<string>): Array of section unicode icons
param_names (array<string>): Array of parameter names (use "|" to separate sections)
param_values (array<string>): Array of parameter values as strings
param_icons (array<string>): Array of parameter icons
use_dividers (bool): Whether to add dividers between sections
Returns: Formatted tooltip string
파인 라이브러리
진정한 트레이딩뷰 정신에 따라 작성자는 이 파인 코드를 오픈 소스 라이브러리로 공개하여 커뮤니티의 다른 파인 프로그래머들이 재사용할 수 있도록 했습니다. 작성자에게 건배! 이 라이브러리는 개인적으로 또는 다른 오픈 소스 출판물에서 사용할 수 있지만, 출판물에서 이 코드를 재사용하는 것은 하우스 룰의 적용을 받습니다.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
파인 라이브러리
진정한 트레이딩뷰 정신에 따라 작성자는 이 파인 코드를 오픈 소스 라이브러리로 공개하여 커뮤니티의 다른 파인 프로그래머들이 재사용할 수 있도록 했습니다. 작성자에게 건배! 이 라이브러리는 개인적으로 또는 다른 오픈 소스 출판물에서 사용할 수 있지만, 출판물에서 이 코드를 재사용하는 것은 하우스 룰의 적용을 받습니다.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.