projectiontrackingLibrary "projectiontracking"
Library contains few data structures and methods for tracking harmonic patterns and projections via pinescript.
method erase(this)
erase Harmonic Projection Drawing
Namespace types: HarmonicProjectionDrawing
Parameters:
this (HarmonicProjectionDrawing) : HarmonicProjectionDrawing object
Returns: void
method erase(this)
erase HarmonicProjection
Namespace types: HarmonicProjection
Parameters:
this (HarmonicProjection) : HarmonicProjection object
Returns: void
method draw(this)
draw HarmonicProjection
Namespace types: HarmonicProjection
Parameters:
this (HarmonicProjection) : HarmonicProjection object
Returns: HarmonicProjection object
method getRanges(projectionPrzRanges, dir)
Convert PRZRange to Projection ranges
Namespace types: array
Parameters:
projectionPrzRanges (array type from Trendoscope/HarmonicMapLib/1) : array of PrzRange objects
dir (int) : Projection direction
Returns: array
ProjectionRange
Harmonic Projection Range
Fields:
patterns (array) : array of pattern names
start (series float) : Start Range
end (series float) : End Range
status (series int) : Projection Status
ProjectionProperties
Harmonic Projection Properties
Fields:
fillMajorTriangles (series bool) : Use linefill for major triangles
fillMinorTriangles (series bool) : Use linefill for minor triangles
majorFillTransparency (series int) : transparency of major triangles
minorFillTransparency (series int) : transparency of minor triangles
showXABC (series bool) : Show XABC labels
lblSizePivots (series string) : Pivot labels size
showRatios (series bool) : Show ratio labels
useLogScaleForScan (series bool) : Log scale is used for scanning projections
activateOnB (series bool) : Activate projections on reaching B
activationRatio (series float) : Use activation ratio for activation
confirmationRatio (series float) : Confirmation ratio of projection before removal
HarmonicProjectionDrawing
Harmonic Projection Projection drawing objects
Fields:
xa (series line) : line xa
ab (series line) : line ab
bc (series line) : line bc
xb (series line) : line xb
ac (series line) : line ac
x (series label) : Pivot label x
a (series label) : Pivot label a
b (series label) : Pivot label b
c (series label) : Pivot label c
xabRatio (series label) : Label XAB Ratio
abcRatio (series label) : Label ABC Ratio
HarmonicProjection
Harmonic Projection Projection object
Fields:
patternId (series int) : id of the pattern
dir (series int) : projection direction
x (chart.point) : Pivot X
a (chart.point) : Pivot A
b (chart.point) : Pivot B
c (chart.point) : Pivot C
patternColor (series color) : Color in which pattern is displayed
przRange (PrzRange type from Trendoscope/HarmonicMapLib/1) : PRZ Range
activationPrice (series float) : Projection activation price
reversalPrice (series float) : Projection reversal price
status (series int) : Projection status
properties (ProjectionProperties) : Projection properties
projectionRanges (array) : array of Projection Ranges
initialD (series float) : Initial D pivot
d (chart.point) : Pivot D
drawing (HarmonicProjectionDrawing) : HarmonicProjectionDrawing Object
Geometri Pasaran
HarmonicMapLibLibrary "HarmonicMapLib"
Harmonic Pattern Library implementation utilising maps
method tostring(this)
convert Range value to string
Namespace types: Range
Parameters:
this (Range) : Range value
Returns: converted string representation
method tostring(this)
convert array of Range value to string
Namespace types: array
Parameters:
this (array) : array object
Returns: converted string representation
method tostring(this)
convert map of string to Range value to string
Namespace types: map
Parameters:
this (map) : map object
Returns: converted string representation
method tostring(this)
convert RatioMap to string
Namespace types: RatioMap
Parameters:
this (RatioMap) : RatioMap object
Returns: converted string representation
method tostring(this)
convert array of RatioMap to string
Namespace types: array
Parameters:
this (array) : array object
Returns: converted string representation
method tostring(this)
convert map of string to RatioMap to string
Namespace types: map
Parameters:
this (map) : map object
Returns: converted string representation
method tostring(this)
convert map of string to bool to string
Namespace types: map
Parameters:
this (map) : map object
Returns: converted string representation
method tostring(this)
convert PrzRange to string
Namespace types: PrzRange
Parameters:
this (PrzRange) : PrzRange object
Returns: converted string representation
method tostring(this)
convert array of PrzRange to string
Namespace types: array
Parameters:
this (array) : array object
Returns: converted string representation
getHarmonicMap()
Creates the RatioMap for harmonic patterns
Returns: map haronic ratio rules for all patterns
method evaluate(patternsMap, pattern, ratioRange, properties, ratioValue)
evaluates harmonic ratio range
Namespace types: map
Parameters:
patternsMap (map) : parameter containing valid pattern names
pattern (string) : Pattern type to be evaluated
ratioRange (Range) : ratio range to be checked
properties (ScanProperties) : Scan Properties
ratioValue (float)
Returns: void
method evaluate(przRange, pattern, ratioRange, priceRange, properties)
Evaluate PRZ ranges
Namespace types: map
Parameters:
przRange (map)
pattern (string) : Pattern name
ratioRange (Range) : Range of ratio for the pattern
priceRange (Range) : Price range based on ratio
properties (ScanProperties) : ScanProperties object
Returns: void
method scanRatio(currentPatterns, rules, properties, ratioName, ratioValue)
Scan for particular named ratio of harmonic pattern to filter valid patterns
Namespace types: map
Parameters:
currentPatterns (map) : Current valid patterns map
rules (map) : map Harmonic ratio rules
properties (ScanProperties) : ScanProperties object
ratioName (string) : Specific ratio name
ratioValue (float) : ratio value to be checked
Returns: updated currentPatterns object
method scanPatterns(patterns, x, a, b, c, d, properties)
Scan for patterns based on X, A, B, C, D values
Namespace types: map
Parameters:
patterns (map) : List of allowed patterns
x (float) : X coordinate
a (float) : A coordinate
b (float) : B coordinate
c (float) : C coordinate
d (float) : D coordinate
properties (ScanProperties) : ScanProperties object. If na, default values are initialised
Returns: updated valid patterns map
method scanProjections(patterns, x, a, b, c, properties)
Scan for projections based on X, A, B, C values
Namespace types: map
Parameters:
patterns (map) : List of allowed patterns
x (float) : X coordinate
a (float) : A coordinate
b (float) : B coordinate
c (float) : C coordinate
properties (ScanProperties) : ScanProperties object. If na, default values are initialised
Returns: updated valid projections map
method merge(this, other)
merge two ranges into one
Namespace types: Range
Parameters:
this (Range) : first range
other (Range) : second range
Returns: combined range
method union(this, other)
union of two ranges into one
Namespace types: Range
Parameters:
this (Range) : first range
other (Range) : second range
Returns: union range
method overlaps(this, other)
checks if two ranges intersect
Namespace types: Range
Parameters:
this (Range) : first range
other (Range) : second range
Returns: true if intersects, false otherwise
method consolidate(this)
Consolidate ranges into PRZ
Namespace types: map
Parameters:
this (map) : map of Ranges
Returns: consolidated PRZ
method consolidateMany(this)
Consolidate ranges into multiple PRZ ranges
Namespace types: map
Parameters:
this (map) : map of Ranges
Returns: consolidated array of PRZ ranges
method getRange(currentPatterns, x, a, b, c, properties)
Get D range based on X, A, B, C coordinates for the current patterns
Namespace types: map
Parameters:
currentPatterns (map) : List of valid patterns
x (float) : X coordinate
a (float) : A coordinate
b (float) : B coordinate
c (float) : C coordinate
properties (ScanProperties) : ScanProperties object. If na, default values are initialised
Returns: map of D ranges
method getPrzRange(currentPatterns, x, a, b, c, properties)
Get PRZ range based on X, A, B, C coordinates for the current patterns
Namespace types: map
Parameters:
currentPatterns (map) : List of valid patterns
x (float) : X coordinate
a (float) : A coordinate
b (float) : B coordinate
c (float) : C coordinate
properties (ScanProperties) : ScanProperties object. If na, default values are initialised
Returns: PRZRange for the pattern
method getProjectionRanges(currentPatterns, x, a, b, c, properties)
Get projection range based on X, A, B, C coordinates for the current patterns
Namespace types: map
Parameters:
currentPatterns (map) : List of valid patterns
x (float) : X coordinate
a (float) : A coordinate
b (float) : B coordinate
c (float) : C coordinate
properties (ScanProperties) : ScanProperties object. If na, default values are initialised
Returns: array of projection ranges
Range
Collection of range values
Fields:
values (array) : array of float values
RatioMap
ratio map for pattern
Fields:
ratioMap (map) : map of string to Range (array of float)
ScanProperties
Pattern Scanning properties
Fields:
strictMode (series bool) : strict scanning mode will check for overflows
logScale (series bool) : scan ratios in log scale
errorMin (series float) : min error threshold
errorMax (series float)
mintick (series float) : minimum tick value of price
PrzRange
Potential reversal zone range
Fields:
patterns (array) : array of pattern names for the given XABCD combination
prz (Range) : PRZ range
drawingutilsLibrary "drawingutils"
methods used in my scripts for some basic and customized drawings and arrays.
method line(this, p1, p2, lineColor, style, width, xloc, extend)
Draws line and adds to the array
Namespace types: array
Parameters:
this (array) : array to which the created line needs to be added
p1 (chart.point) : point1 of the line
p2 (chart.point) : point2 of the line
lineColor (color) : line color
style (string) : line style
width (int) : line width
xloc (string) : xloc.bar_index or xloc.bar_time
extend (string) : default is extend.none
Returns: line created
method label(this, p, txt, tooltip, xloc, yloc, color, style, textcolor, size, textalign)
Draws label and adds to the array
Namespace types: array
Parameters:
this (array) : array to which the created label needs to be added
p (chart.point) : point at which the label needs to be drawn
txt (string) : label text
tooltip (string) : tooltip text
xloc (string) : xloc value - xloc.bar_index or xloc.bar_time
yloc (string) : y location of the label
color (color) : label color
style (string) : label style
textcolor (color) : label text color
size (string) : Size of the label
textalign (string) : text alignment
Returns: label created
method linefill(this, ln1, ln2, fillColor, transparency)
Draws linefill and adds to array
Namespace types: array
Parameters:
this (array) : array to which the created linefill needs to be added
ln1 (line) : line1 of the fill
ln2 (line) : line2 of the fill
fillColor (color) : fill Color
transparency (int) : fill transparency
Returns: linefill created
draw_labelled_line(target, lblText, linecolor, labelcolor, index, highlight, linesArray, labelsArray, highlightSize, tinySize, yloc, textalign)
Draws labelled line
Parameters:
target (float) : target price
lblText (string) : label text
linecolor (color) : line color
labelcolor (color) : label color
index (int) : index to calculate the distance offset
highlight (bool) : highlight true/false
linesArray (array) : array of lines where the created line is added
labelsArray (array) : array of labels where the created label is added
highlightSize (string) : Size of highlighted text
tinySize (string) : size of non highlighted text
yloc (string) : y location
textalign (string) : text alignment
Returns: void
draw_labelled_box(y1, y2, labelColor, labelText, index, boxArray, labelArray, borderColor, borderStyle, borderWidth, textAlign, highlight, highLightLabel)
Draws custom labelled box
Parameters:
y1 (float) : price 1 of the box
y2 (float) : price 2 of the box
labelColor (color) : label color
labelText (string) : label text
index (int) : index to calculate the offset distance
boxArray (array) : box array to which the box needs to be added
labelArray (array) : label array to which the label needs to be added
borderColor (color) : border color
borderStyle (string) : border style
borderWidth (int) : border width
textAlign (string) : text align of the label
highlight (bool) : highlight label text
highLightLabel (bool) : highlight label size
Returns: void
TrendLibrary "Trend"
calculateSlopeTrend(source, length, thresholdMultiplier)
Parameters:
source (float)
length (int)
thresholdMultiplier (float)
Purpose:
The primary goal of this function is to determine the short-term trend direction of a given data series (like closing prices). It does this by calculating the slope of the data over a specified period and then comparing that slope against a dynamic threshold based on the data's recent volatility. It classifies the trend into one of three states: Upward, Downward, or Flat.
Parameters:
`source` (Type: `series float`): This is the input data series you want to analyze. It expects a series of floating-point numbers, typically price data like `close`, `open`, `hl2` (high+low)/2, etc.
`length` (Type: `int`): This integer defines the lookback period. The function will analyze the `source` data over the last `length` bars to calculate the slope and standard deviation.
`thresholdMultiplier` (Type: `float`, Default: `0.1`): This is a sensitivity factor. It's multiplied by the standard deviation to determine how steep the slope needs to be before it's considered a true upward or downward trend. A smaller value makes it more sensitive (detects trends earlier, potentially more false signals), while a larger value makes it less sensitive (requires a stronger move to confirm a trend).
Calculation Steps:
Linear Regression: It first calculates the value of a linear regression line fitted to the `source` data over the specified `length` (`ta.linreg(source, length, 0)`). Linear regression finds the "best fit" straight line through the data points.
Slope Calculation: It then determines the slope of this linear regression line. Since `ta.linreg` gives the *value* of the line on the current bar, the slope is calculated as the difference between the current bar's linear regression value (`linRegValue`) and the previous bar's value (`linRegValue `). A positive difference means an upward slope, negative means downward.
Volatility Measurement: It calculates the standard deviation (`ta.stdev(source, length)`) of the `source` data over the same `length`. Standard deviation is a measure of how spread out the data is, essentially quantifying its recent volatility.
Adaptive Threshold: An adaptive threshold (`threshold`) is calculated by multiplying the standard deviation (`stdDev`) by the `thresholdMultiplier`. This is crucial because it means the definition of a "flat" trend adapts to the market's volatility. In volatile times, the threshold will be wider, requiring a larger slope to signal a trend. In quiet times, the threshold will be narrower.
Trend Determination: Finally, it compares the calculated `slope` to the adaptive `threshold`:
If the `slope` is greater than the positive `threshold`, the trend is considered **Upward**, and the function returns `1`.
If the `slope` is less than the negative `threshold` (`-threshold`), the trend is considered **Downward**, and the function returns `-1`.
If the `slope` falls between `-threshold` and `+threshold` (inclusive of 0), the trend is considered **Flat**, and the function returns `0`.
Return Value:
The function returns an integer representing the determined trend direction:
`1`: Upward trend
`-1`: Downward trend
`0`: Flat trend
In essence, this library function provides a way to gauge trend direction using linear regression, but with a smart filter (the adaptive threshold) to avoid classifying minor noise or low-volatility periods as significant trends.
ChartPatternSetupsLibrary "ChartPatternSetups"
detectSymmetricalTriangle(lookback)
Detects a Symmetrical Triangle (Bullish or Bearish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isBullish, isBearish, entry, sl, tp).
detectAscendingTriangle(lookback)
Detects an Ascending Triangle (Bullish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
detectDescendingTriangle(lookback)
Detects a Descending Triangle (Bearish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
detectFallingWedge(lookback)
Detects a Falling Wedge (Bullish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
detectRisingWedge(lookback)
Detects a Rising Wedge (Bearish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
chartpatternsLibrary "chartpatterns"
Library having complete chart pattern implementation
method draw(this)
draws pattern on the chart
Namespace types: Pattern
Parameters:
this (Pattern) : Pattern object that needs to be drawn
Returns: Current Pattern object
method erase(this)
erase the given pattern on the chart
Namespace types: Pattern
Parameters:
this (Pattern) : Pattern object that needs to be erased
Returns: Current Pattern object
method findPattern(this, properties, patterns)
Find patterns based on the currect zigzag object and store them in the patterns array
Namespace types: zg.Zigzag
Parameters:
this (Zigzag type from Trendoscope/ZigzagLite/2) : Zigzag object containing pivots
properties (PatternProperties) : PatternProperties object
patterns (Pattern ) : Array of Pattern objects
Returns: Current Pattern object
PatternProperties
Object containing properties for pattern scanning
Fields:
offset (series int) : Zigzag pivot offset. Set it to 1 for non repainting scan.
numberOfPivots (series int) : Number of pivots to be used in pattern search. Can be either 5 or 6
errorRatio (series float) : Error Threshold to be considered for comparing the slope of lines
flatRatio (series float) : Retracement ratio threshold used to determine if the lines are flat
checkBarRatio (series bool) : Also check bar ratio are within the limits while scanning the patterns
barRatioLimit (series float) : Bar ratio limit used for checking the bars. Used only when checkBarRatio is set to true
avoidOverlap (series bool)
patternLineWidth (series int) : Line width of the pattern trend lines
showZigzag (series bool) : show zigzag associated with pattern
zigzagLineWidth (series int) : line width of the zigzag lines. Used only when showZigzag is set to true
zigzagLineColor (series color) : color of the zigzag lines. Used only when showZigzag is set to true
showPatternLabel (series bool) : display pattern label containing the name
patternLabelSize (series string) : size of the pattern label. Used only when showPatternLabel is set to true
showPivotLabels (series bool) : Display pivot labels of the patterns marking 1-6
pivotLabelSize (series string) : size of the pivot label. Used only when showPivotLabels is set to true
pivotLabelColor (series color) : color of the pivot label outline. chart.bg_color or chart.fg_color are the appropriate values.
allowedPatterns (bool ) : array of bool encoding the allowed pattern types.
themeColors (color ) : color array of themes to be used.
Pattern
Object containing Individual Pattern data
Fields:
pivots (Pivot type from Trendoscope/ZigzagLite/2) : array of Zigzag Pivot points
trendLine1 (Line type from Trendoscope/LineWrapper/1) : First trend line joining pivots 1, 3, 5
trendLine2 (Line type from Trendoscope/LineWrapper/1) : Second trend line joining pivots 2, 4 (, 6)
properties (PatternProperties) : PatternProperties Object carrying common properties
patternColor (series color) : Individual pattern color. Lines and labels will be using this color.
ratioDiff (series float) : Difference between trendLine1 and trendLine2 ratios
zigzagLine (series polyline) : Internal zigzag line drawing Object
pivotLabels (label ) : array containning Pivot labels
patternLabel (series label) : pattern label Object
patternType (series int) : integer representing the pattern type
patternName (series string) : Type of pattern in string
Fibonacci 3-D🟩 The Fibonacci 3-D indicator is a visual tool that introduces a three-dimensional approach to Fibonacci projections, leveraging market geometry. Unlike traditional Fibonacci tools that rely on two points and project horizontal levels, this indicator leverages slopes derived from three points to introduce a dynamic element into the calculations. The Fibonacci 3-D indicator uses three user-defined points to form a triangular structure, enabling multi-dimensional projections based on the relationships between the triangle’s sides.
This triangular framework forms the foundation for the indicator’s calculations, with each slope (⌳AB, ⌳AC, and ⌳BC) representing the rate of price change between its respective points. By incorporating these slopes into Fibonacci projections, the indicator provides an alternate approach to identifying potential support and resistance levels. The Fibonacci 3-D expands on traditional methods by integrating both historical price trends and recent momentum, offering deeper insights into market dynamics and aligning with broader market geometry.
The indicator operates across three modes, each defined by the triangular framework formed by three user-selected points (A, B, and C):
1-Dimensional (1-D): Fibonacci levels are based on a single side of the triangle, such as AB, AC, or BC. The slope of the selected side determines the angle of the projection, allowing users to analyze linear trends or directional price movements.
2-Dimensional (2-D): Combines two slopes derived from the sides of the triangle, such as AB and BC or AC and BC. This mode adds depth to the projections, accounting for both historical price swings and recent market momentum.
3-Dimensional (3-D): Integrates all three slopes into a unified projection. This mode captures the full geometric relationship between the points, revealing a comprehensive view of geometric market structure.
🌀 THEORY & CONCEPT 🌀
The Fibonacci 3-D indicator builds on the foundational principles of traditional Fibonacci analysis while expanding its scope to capture more intricate market structures. At its core, the indicator operates based on three user-selected points (A, B, and C), forming the vertices of a triangle that provides the structural basis for all calculations. This triangle determines the slopes, projections, and Fibonacci levels, aligning with the unique geometric relationships between the chosen points. By introducing multiple dimensions and leveraging this triangular framework, the indicator enables a deeper examination of price movements.
1️⃣ First Dimension (1-D)
In technical analysis, traditional Fibonacci retracement and extension tools operate as one-dimensional instruments. They rely on two price points, often a swing high and a swing low, to calculate and project horizontal levels at predefined Fibonacci ratios. These levels identify potential support and resistance zones based solely on the price difference between the selected points.
A one-dimensional Fibonacci showing levels derived from two price points (B and C).
The Fibonacci 3-D indicator extends this one-dimensional concept by introducing Ascending and Descending projection options. These options calculate the levels to align with the directional movement of price, creating sloped projections instead of purely horizontal levels.
1-D mode with an ascending projection along the ⌳BC slope aligned to the market's slope. Potential support is observed at 0.236 and 0.382, while resistance appears at 1.0 and 0.5.
2️⃣ Second Dimension (2-D)
The second dimension incorporates a second side of the triangle, introducing relationships between two slopes (e.g., ⌳AB and ⌳BC) to form a more dynamic three-point structure (A, B, and C) on the chart. This structure enables the indicator to move beyond the single-axis (price) calculations of traditional Fibonacci tools. The sides of the triangle (AB, AC, BC) represent slopes calculated as the rate of price change over time, capturing distinct components of market movement, such as trend direction and momentum.
2-D mode of the Fibonacci 3-D indicator using the ⌳AC slope with a descending projection. The Fibonacci projections align closely with observed market behavior, providing support at 0.236 and resistance at 0.618. Unlike traditional zigzag setups, this configuration uses two swing highs (A and B) and a swing low (C). The alignment along the descending slope highlights the geometric relationships between selected points in identifying potential support and resistance levels.
3️⃣ Third Dimension (3-D)
The third dimension expands the analysis by integrating all three slopes into a unified calculation, encompassing the entire triangle structure formed by points A, B, and C. Unlike the second dimension, which analyzes pairwise slope relationships, the 3-D mode reflects the combined geometry of the triangle. Each slope contributes a distinct perspective: AB and AC provide historical context, while BC emphasizes the most recent price movement and is given greater weight in the calculations to ensure projections remain responsive to current dynamics.
Using this integrated framework, the 3-D mode dynamically adjusts Fibonacci projections to balance long-term patterns and short-term momentum. The projections extend outward in alignment with the triangle’s geometry, offering a comprehensive framework for identifying potential support and resistance zones and capturing market structures beyond the scope of simpler 1-D or 2-D modes.
Three-dimensional Fibonacci projection using the ⌳AC slope, aligning closely with the market's directional movement. The projection highlights key levels: resistance at 0.0 and 0.618, and support at 1.0, 0.786, and 0.382.
By leveraging all three slopes simultaneously, the 3-D mode introduces a level of complexity particularly suited for volatile or non-linear markets. The weighted slope calculations ensure no single price movement dominates the analysis, allowing the projections to adapt dynamically to the broader market structure while remaining sensitive to recent momentum.
Three-dimensional ascending projection. In 3D mode, the indicator integrates all three slopes to calculate the angle of projection for the Fibonacci levels. The resulting projections adapt dynamically to the overall geometry of the ABC structure, aligning with the market’s current direction.
🔂 Interactions: Dimensions. Slope Source, Projections, and Orientation
The Dimensions , Projections , and Orientation settings work together to define Fibonacci projections within the triangular framework. Each setting plays a specific role in the geometric analysis of price movements.
♾️ Dimension determines which of the three modes (1-D, 2-D, or 3-D) is used for Fibonacci projections. In 1-D mode, the projections are based on a single side of the triangle, such as AB, AC, or BC. In 2-D mode, two sides are combined, producing levels based on their geometric relationship. The 3-D mode integrates all three sides of the triangle, calculating projections using weighted averages that emphasize the BC side for its relevance to recent price movement while maintaining historical context from the AB and AC sides.
A one-dimensional Fibonacci projection using the ⌳AB slope with a neutral projection. Important levels of interaction are highlighted: repeated resistance at Level 1.0 and repeated support at Levels 0.5 and 0.618. The projection aligns horizontally, reflecting the relationship between points A, B, and C while identifying recurring zones of market structure.
🧮 Slope Source determines which side of the triangle (AB, AC, or BC) serves as the foundation for Fibonacci projections. This selection directly impacts the calculations by specifying the slope that anchors the geometric relationships within the chosen Dimension mode (1-D, 2-D, or 3-D).
In 1-D mode, the selected Source defines the single side used for the projection. In 2-D and 3-D modes, the Source works in conjunction with other settings to refine projections by integrating the selected slope into the multi-dimensional framework.
One-dimensional Fibonacci projection using the ⌳AC Slope Source and Ascending projection. The projection continues on the AC slope line.
🎯 Projection controls the direction and alignment of Fibonacci levels. Neutral projections produce horizontal levels, similar to traditional Fibonacci tools. Ascending and Descending projections adjust the levels along the calculated slope to reflect market trends. These options allow the indicator’s outputs to align with different market behaviors.
An ascending projection along the ⌳BC slope aligns with resistance levels at 1.0, 0.618, and 0.236. The geometric relationship between points A, B, and C illustrates how the projection adapts to market structure, identifying resistance zones that may not be captured by traditional Fibonacci tools.
🧭 Orientation modifies the alignment of the setup area defined by points A, B, and C, which influences Fibonacci projections in 2-D and 3-D modes. In Default mode, the triangle aligns naturally based on the relative positions of points B and C. In Inverted mode, the geometric orientation of the setup area is reversed, altering the slope calculations while preserving the projection direction specified in the Projection setting. In 1-D mode, Orientation has no effect since only one side is used for the projection.
Adjusting the Orientation setting provides alternative views of how Fibonacci levels align with the market's structure. By recalibrating the triangle’s setup, the inverted orientation can highlight different relationships between the sides, providing additional perspectives on support and resistance zones.
2-D inverted. The ⌳AC slope defines the projection, and the inverted orientation adjusts the alignment of the setup area, altering the angles used in level calculations. Key levels are highlighted: resistance at 0.786, strong support at 0.5 and 0.236, and a resistance-turned-support interaction at 0.618.
🛠️ CONFIGURATION AND SETTINGS 🛠️
The Fibonacci 3-D indicator includes configurable settings to adjust its functionality and visual representation. These options include customization of the dimensions (1-D, 2-D, or 3-D), slope calculations, orientations, projections, Fibonacci levels, and visual elements.
When adding the indicator to a new chart, select three reference points (A, B, and C). These are usually set to recent swing points. All three points can be easily changed at any time by clicking on the reference point and dragging it to a new location.
By default, all settings are set to Auto . The indicator uses an internal algorithm to estimate the projections based on the orientation and relative positions of the reference points. However, all values can be overridden to reflect the user's interpretation of the current market geometry.
⚙️ Core Settings
Dimensions : Defines how many sides of the triangle formed by points A, B, and C are incorporated into the calculations for Fibonacci projections. This setting determines the level of complexity and detail in the analysis. 1-D : Projects levels along the angle of a single user-selected side of the triangle.
2-D : Projects levels based on a composite slope derived from the angles of two sides of the triangle.
3-D : Projects levels based on a composite slope derived from all three sides of the triangle (A-B, A-C, and B-C), providing a multi-dimensional projection that adapts to both historical and recent market movements.
Slope Source : Determines which side of the triangle is used as the basis for slope calculations. A–B: The slope between points A and B. In 1-D mode, this determines the projection. In 2-D and 3-D modes, it contributes to the composite slope calculation.
A–C: The slope between points A and C. In 1-D mode, this determines the projection. In 2-D and 3-D modes, it contributes to the composite slope calculation.
B--C: The slope between points B and C. In 1-D mode, this determines the projection. In 2-D and 3-D modes, it contributes to the composite slope calculation.
Orientation : Defines the triangle's orientation formed by points A, B, and C, influencing slope calculations. Auto : Automatically determines orientation based on the relative positions of points B and C. If point C is to the right of point B, the orientation is "normal." If point C is to the left, the orientation is inverted.
Inverted : Reverses the orientation set in "Auto" mode. This flips the triangle, reversing slope calculations ⌳AB becomes ⌳BA).
Projection : Determines the direction of Fibonacci projections: Auto : Automatically determines projection direction based on the triangle formed by A, B, and C.
Ascending : Projects the levels upward.
Neutral : Projects the levels horizontally, similar to traditional Fibonacci retracements.
Descending : Projects the levels downward.
⚙️ Fibonacci Level Settings Show or hide specific levels.
Level Value : Adjust Fibonacci ratios for each level. The 0.0 and 1.0 levels are fixed.
Color : Set level colors.
⚙️ Visibility Settings Show Setup : Toggle the display of the setup area, which includes the projected lines used in calculations.
Show Triangle : Toggle the display of the triangle formed by points A, B, and C.
Triangle Color : Set triangle line colors.
Show Point Labels : Toggle the display of labels for points A, B, and C.
Show Left/Right Labels : Toggle price labels on the left and right sides of the chart.
Fill % : Adjust the fill intensity between Fibonacci levels (0% for no fill, 100% for full fill).
Info : Set the location or hide the Slope Source and Dimension. If Orientation is Inverted , the Slope Source will display with an asterisk (*).
⚙️ Time-Price Points : Set the time and price for points A, B, and C, which define the Fibonacci projections.
A, B, and C Points : User-defined time and price coordinates that form the foundation of the indicator's calculations.
Interactive Adjustments : Changes made to points on the chart automatically synchronize with the settings panel and update projections in real time.
Notes
Unlike traditional Fibonacci tools that include extensions beyond 1.0 (e.g., 1.618 or 2.618), the Fibonacci 3-D indicator restricts Fibonacci levels to the range between 0.0 and 1.0. This is because the projections are tied directly to the proportional relationships along the sides of the triangle formed by points A, B, and C, rather than extending beyond its defined structure.
The indicator's calculations dynamically sort the user-defined A, B, and C points by time, ensuring point A is always the earliest, point C the latest, and point B the middle. This automatic sorting allows users to freely adjust the points directly on the chart without concern for their sequence, maintaining consistency in the triangular structure.
🖼️ ADDITIONAL CHART EXAMPLES 🖼️
Three-dimensional ⌳AC slope is used with an ascending projection, even as the broader market trend moves downward. Despite the apparent contradiction, the projected Fibonacci levels align closely with price action, identifying zones of support and resistance. These levels highlight smaller countertrend movements, such as pullbacks to 0.382 and 0.236, followed by continuations at resistance levels like 0.618 and 0.786.
In 2-D mode, an ascending projection based on the BC slope highlights the market's geometric structure. A setup triangle, defined by a swing high (A), a swing low (B), and another swing high (C), reveals Fibonacci projections aligning with support at 0.236, 0.382, and 0.5, and resistance at 0.618, 0.786, and 1.0, as shown by the green and red arrows. This demonstrates the ability to uncover dynamic support and resistance levels not calculated in traditional Fibonacci tools.
In 2-D mode with an ascending projection from the ⌳AB slope, price movement is contained within the 0.5 and 0.786 levels. The 0.5 level serves as support, while the 0.786 level acts as resistance, with price action consistently interacting with these boundaries.
An AC (2-D) ascending projection is derived from two swing highs (A and B) and a swing low (C), reflecting a non-linear market structure that deviates from traditional zigzag patterns. The ascending projection aligns closely with the market's upward trajectory, forming a channel between the 0.0 and 0.5 Fibonacci levels. Note how price action interacts with the projected levels, showing support at 0.236 and 0.382, with the 0.5 level acting as a mid-channel equilibrium.
Two-dimensional ascending Fibonacci projection using the ⌳AC slope. Arrows highlight resistance at 0.786 and support at 0.0 and 0.236. The projection follows the ⌳AC slope, reflecting the geometric relationship between points A, B, and C to identify these levels.
Three-dimensional Fibonacci projection using the ⌳AC slope, aligned with the actual market's directional trend. By removing additional Fibonacci levels, the image emphasizes key areas: resistance at Level 0.0 and support at Levels 1.0 and 0.5. The projection dynamically follows the ⌳AC slope, adapting to the market's structure as defined by points A, B, and C.
A three-dimensional configuration uses the ⌳AB slope as the baseline for projections while incorporating the geometric influence of point C. Only the 0.0 and 0.618 levels are enabled, emphasizing the relationship between support at 0.0 and resistance at 0.618. Unlike traditional Fibonacci tools, which operate in a single plane, this setup reveals levels that rely on the triangular relationship between points A, B, and C. The third dimension allows for projections that align more closely with the market’s structure and reflect its multi-dimensional geometry.
The Fibonacci 3-D indicator can adapt to non-traditional point selection. Point A serves as a swing low, while points B and C are swing highs, forming an unconventional configuration. ⌳The BC slope is used in 2-D mode with an inverted orientation, flipping the projection direction and revealing resistance at Level 0.786 and support at Levels 0.618 and 0.5.
⚠️ DISCLAIMER ⚠️
The Fibonacci 3-D indicator is a visual analysis tool designed to illustrate Fibonacci relationships. While the indicator employs precise mathematical and geometric formulas, no guarantee is made that its calculations will align with other Fibonacci tools or proprietary methods. Like all technical and visual indicators, the Fibonacci projections generated by this tool may appear to visually align with key price zones in hindsight. However, these projections are not intended as standalone signals for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis.
🧠 BEYOND THE CODE 🧠
The Fibonacci 3-D indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Your feedback and insights are invaluable to refining and enhancing the Fibonacci 3-D indicator. We look forward to the creative applications, adaptations, and observations this tool inspires within the trading community.
Geo. Geo.
This library provides a comprehensive set of geometric functions based on 2 simple types for point and line manipulation, point array calculations, some vector operations (Borrowed from @ricardosantos ), angle calculations, and basic polygon analysis. It offers tools for creating, transforming, and analyzing geometric shapes and their relationships.
View the source code for detailed documentation on each function and type.
═════════════════════════════════════════════════════════════════════════
█ OVERVIEW
This library enhances TradingView's Pine Script with robust geometric capabilities. It introduces the Point and Line types, along with a suite of functions for various geometric operations. These functionalities empower you to perform advanced calculations, manipulations, and analyses involving points, lines, vectors, angles, and polygons directly within your Pine scripts. The example is at the bottom of the script. ( Commented out )
█ CONCEPTS
This library revolves around two fundamental types:
• Point: Represents a point in 2D space with x and y coordinates, along with optional 'a' (angle) and 'v' (value) fields for versatile use. Crucially, for plotting, utilize the `.to_chart_point()` method to convert Points into plottable chart.point objects.
• Line: Defined by a starting Point and a slope , enabling calculations like getting y for a given x, or finding intersection points.
█ FEATURES
• Point Manipulation: Perform operations like addition, subtraction, scaling, rotation, normalization, calculating distances, dot products, cross products, midpoints, and more with Point objects.
• Line Operations: Create lines, determine their slope, calculate y from x (and vice versa), and find the intersection points of two lines.
• Vector Operations: Perform vector addition, subtraction, multiplication, division, negation, perpendicular vector calculation, floor, fractional part, sine, absolute value, modulus, sign, round, scaling, rescaling, rotation, and ceiling operations.
• Angle Calculations: Compute angles between points in degrees or radians, including signed, unsigned, and 360-degree angles.
• Polygon Analysis: Calculate the area, perimeter, and centroid of polygons. Check if a point is inside a given polygon and determine the convex hull perimeter.
• Chart Plotting: Conveniently convert Point objects to chart.point objects for plotting lines and points on the chart. The library also includes functions for plotting lines between individual and series of points.
• Utility Functions: Includes helper functions such as square root, square, cosine, sine, tangent, arc cosine, arc sine, arc tangent, atan2, absolute distance, golden ratio tolerance check, fractional part, and safe index/check for chart plotting boundaries.
█ HOW TO USE
1 — Include the library in your script using:
import kaigouthro/geo/1
2 — Create Point and Line objects:
p1 = geo.Point(bar_index, close)
p2 = geo.Point(bar_index , open)
myLine = geo.Line(p1, geo.slope(p1, p2))
// maybe use that line to detect a crossing for an alert ... hmmm
3 — Utilize the provided functions:
distance = geo.distance(p1, p2)
intersection = geo.intersection(line1, line2)
4 — For plotting labels, lines, convert Point to chart.point :
label.new(p1.to_chart_point(), " Hi ")
line.new(p1.to_chart_point(),p2.to_chart_point())
█ NOTES
This description provides a concise overview. Consult the library's source code for in-depth documentation, including detailed descriptions, parameter types, and return values for each function and method. The source code is structured with comprehensive comments using the `//@` format for seamless integration with TradingView's auto-documentation features.
█ Possibilities..
Library "geo"
This library provides a comprehensive set of geometric functions and types, including point and line manipulation, vector operations, angle calculations, and polygon analysis. It offers tools for creating, transforming, and analyzing geometric shapes and their relationships.
sqrt(value)
Square root function
Parameters:
value (float) : (float) - The number to take the square root of
Returns: (float) - The square root of the input value
sqr(x)
Square function
Parameters:
x (float) : (float) - The number to square
Returns: (float) - The square of the input value
cos(v)
Cosine function
Parameters:
v (float) : (series float) - The value to find the cosine of
Returns: (series float) - The cosine of the input value
sin(v)
Sine function
Parameters:
v (float) : (series float) - The value to find the sine of
Returns: (series float) - The sine of the input value
tan(v)
Tangent function
Parameters:
v (float) : (series float) - The value to find the tangent of
Returns: (series float) - The tangent of the input value
acos(v)
Arc cosine function
Parameters:
v (float) : (series float) - The value to find the arc cosine of
Returns: (series float) - The arc cosine of the input value
asin(v)
Arc sine function
Parameters:
v (float) : (series float) - The value to find the arc sine of
Returns: (series float) - The arc sine of the input value
atan(v)
Arc tangent function
Parameters:
v (float) : (series float) - The value to find the arc tangent of
Returns: (series float) - The arc tangent of the input value
atan2(dy, dx)
atan2 function
Parameters:
dy (float) : (float) - The y-coordinate
dx (float) : (float) - The x-coordinate
Returns: (float) - The angle in radians
gap(_value1, __value2)
Absolute distance between any two float values
Parameters:
_value1 (float) : First value
__value2 (float)
Returns: Absolute Positive Distance
phi_tol(a, b, tolerance)
Check if the ratio is within the tolerance of the golden ratio
Parameters:
a (float) : (float) The first number
b (float) : (float) The second number
tolerance (float) : (float) The tolerance percennt as 1 = 1 percent
Returns: (bool) True if the ratio is within the tolerance, false otherwise
frac(x)
frad Fractional
Parameters:
x (float) : (float) - The number to convert to fractional
Returns: (float) - The number converted to fractional
safeindex(x, limit)
limiting int to hold the value within the chart range
Parameters:
x (float) : (float) - The number to limit
limit (int)
Returns: (int) - The number limited to the chart range
safecheck(x, limit)
limiting int check if within the chartplottable range
Parameters:
x (float) : (float) - The number to limit
limit (int)
Returns: (int) - The number limited to the chart range
interpolate(a, b, t)
interpolate between two values
Parameters:
a (float) : (float) - The first value
b (float) : (float) - The second value
t (float) : (float) - The interpolation factor (0 to 1)
Returns: (float) - The interpolated value
gcd(_numerator, _denominator)
Greatest common divisor of two integers
Parameters:
_numerator (int)
_denominator (int)
Returns: (int) The greatest common divisor
method set_x(self, value)
Set the x value of the point, and pass point for chaining
Namespace types: Point
Parameters:
self (Point) : (Point) The point to modify
value (float) : (float) The new x-coordinate
method set_y(self, value)
Set the y value of the point, and pass point for chaining
Namespace types: Point
Parameters:
self (Point) : (Point) The point to modify
value (float) : (float) The new y-coordinate
method get_x(self)
Get the x value of the point
Namespace types: Point
Parameters:
self (Point) : (Point) The point to get the x-coordinate from
Returns: (float) The x-coordinate
method get_y(self)
Get the y value of the point
Namespace types: Point
Parameters:
self (Point) : (Point) The point to get the y-coordinate from
Returns: (float) The y-coordinate
method vmin(self)
Lowest element of the point
Namespace types: Point
Parameters:
self (Point) : (Point) The point
Returns: (float) The lowest value between x and y
method vmax(self)
Highest element of the point
Namespace types: Point
Parameters:
self (Point) : (Point) The point
Returns: (float) The highest value between x and y
method add(p1, p2)
Addition
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (Point) - the add of the two points
method sub(p1, p2)
Subtraction
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (Point) - the sub of the two points
method mul(p, scalar)
Multiplication by scalar
Namespace types: Point
Parameters:
p (Point) : (Point) - The point
scalar (float) : (float) - The scalar to multiply by
Returns: (Point) - the multiplied point of the point and the scalar
method div(p, scalar)
Division by scalar
Namespace types: Point
Parameters:
p (Point) : (Point) - The point
scalar (float) : (float) - The scalar to divide by
Returns: (Point) - the divided point of the point and the scalar
method rotate(p, angle)
Rotate a point around the origin by an angle (in degrees)
Namespace types: Point
Parameters:
p (Point) : (Point) - The point to rotate
angle (float) : (float) - The angle to rotate by in degrees
Returns: (Point) - the rotated point
method length(p)
Length of the vector from origin to the point
Namespace types: Point
Parameters:
p (Point) : (Point) - The point
Returns: (float) - the length of the point
method length_squared(p)
Length squared of the vector
Namespace types: Point
Parameters:
p (Point) : (Point) The point
Returns: (float) The squared length of the point
method normalize(p)
Normalize the point to a unit vector
Namespace types: Point
Parameters:
p (Point) : (Point) - The point to normalize
Returns: (Point) - the normalized point
method dot(p1, p2)
Dot product
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (float) - the dot of the two points
method cross(p1, p2)
Cross product result (in 2D, this is a scalar)
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (float) - the cross of the two points
method distance(p1, p2)
Distance between two points
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (float) - the distance of the two points
method Point(x, y, a, v)
Point Create Convenience
Namespace types: series float, simple float, input float, const float
Parameters:
x (float)
y (float)
a (float)
v (float)
Returns: (Point) new point
method angle(p1, p2)
Angle between two points in degrees
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (float) - the angle of the first point and the second point
method angle_between(p, pivot, other)
Angle between two points in degrees from a pivot point
Namespace types: Point
Parameters:
p (Point) : (Point) - The point to calculate the angle from
pivot (Point) : (Point) - The pivot point
other (Point) : (Point) - The other point
Returns: (float) - the angle between the two points
method translate(p, from_origin, to_origin)
Translate a point from one origin to another
Namespace types: Point
Parameters:
p (Point) : (Point) - The point to translate
from_origin (Point) : (Point) - The origin to translate from
to_origin (Point) : (Point) - The origin to translate to
Returns: (Point) - the translated point
method midpoint(p1, p2)
Midpoint of two points
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (Point) - The midpoint of the two points
method rotate_around(p, angle, pivot)
Rotate a point around a pivot point by an angle (in degrees)
Namespace types: Point
Parameters:
p (Point) : (Point) - The point to rotate
angle (float) : (float) - The angle to rotate by in degrees
pivot (Point) : (Point) - The pivot point to rotate around
Returns: (Point) - the rotated point
method multiply(_a, _b)
Multiply vector _a with _b
Namespace types: Point
Parameters:
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (Point) The result of the multiplication
method divide(_a, _b)
Divide vector _a by _b
Namespace types: Point
Parameters:
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (Point) The result of the division
method negate(_a)
Negative of vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to negate
Returns: (Point) The negated point
method perp(_a)
Perpendicular Vector of _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The perpendicular point
method vfloor(_a)
Compute the floor of argument vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The floor of the point
method fractional(_a)
Compute the fractional part of the elements from vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The fractional part of the point
method vsin(_a)
Compute the sine of argument vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The sine of the point
lcm(a, b)
Least common multiple of two integers
Parameters:
a (int) : (int) The first integer
b (int) : (int) The second integer
Returns: (int) The least common multiple
method vabs(_a)
Compute the absolute of argument vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The absolute of the point
method vmod(_a, _b)
Compute the mod of argument vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
_b (float) : (float) The mod
Returns: (Point) The mod of the point
method vsign(_a)
Compute the sign of argument vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The sign of the point
method vround(_a)
Compute the round of argument vector _a
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (Point) The round of the point
method normalize_y(p, height)
normalizes the y value of a point to an input height
Namespace types: Point
Parameters:
p (Point) : (Point) - The point to normalize
height (float) : (float) - The height to normalize to
Returns: (Point) - the normalized point
centroid(points)
Calculate the centroid of multiple points
Parameters:
points (array) : (array) The array of points
Returns: (Point) The centroid point
random_point(_height, _width, _origin, _centered)
Random Point in a given height and width
Parameters:
_height (float) : (float) The height of the area to generate the point in
_width (float) : (float) The width of the area to generate the point in
_origin (Point) : (Point) The origin of the area to generate the point in (default: na, will create a Point(0, 0))
_centered (bool) : (bool) Center the origin point in the area, otherwise, positive h/w (default: false)
Returns: (Point) The random point in the given area
random_point_array(_origin, _height, _width, _centered, _count)
Random Point Array in a given height and width
Parameters:
_origin (Point) : (Point) The origin of the area to generate the array (default: na, will create a Point(0, 0))
_height (float) : (float) The height of the area to generate the array
_width (float) : (float) The width of the area to generate the array
_centered (bool) : (bool) Center the origin point in the area, otherwise, positive h/w (default: false)
_count (int) : (int) The number of points to generate (default: 50)
Returns: (array) The random point array in the given area
method sort_points(points, by_x)
Sorts an array of points by x or y coordinate
Namespace types: array
Parameters:
points (array) : (array) The array of points to sort
by_x (bool) : (bool) Whether to sort by x-coordinate (true) or y-coordinate (false)
Returns: (array) The sorted array of points
method equals(_a, _b)
Compares two points for equality
Namespace types: Point
Parameters:
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (bool) True if the points are equal, false otherwise
method max(origin, _a, _b)
Maximum of two points from origin, using dot product
Namespace types: Point
Parameters:
origin (Point)
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (Point) The maximum point
method min(origin, _a, _b)
Minimum of two points from origin, using dot product
Namespace types: Point
Parameters:
origin (Point)
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (Point) The minimum point
method avg_x(points)
Average x of point array
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (float) The average x-coordinate
method avg_y(points)
Average y of point array
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (float) The average y-coordinate
method range_x(points)
Range of x values in point array
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (float) The range of x-coordinates
method range_y(points)
Range of y values in point array
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (float) The range of y-coordinates
method max_x(points)
max of x values in point array
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (float) The max of x-coordinates
method min_y(points)
min of x values in point array
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (float) The min of x-coordinates
method scale(_a, _scalar)
Scale a point by a scalar
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to scale
_scalar (float) : (float) The scalar value
Returns: (Point) The scaled point
method rescale(_a, _length)
Rescale a point to a new magnitude
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to rescale
_length (float) : (float) The new magnitude
Returns: (Point) The rescaled point
method rotate_rad(_a, _radians)
Rotate a point by an angle in radians
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to rotate
_radians (float) : (float) The angle in radians
Returns: (Point) The rotated point
method rotate_degree(_a, _degree)
Rotate a point by an angle in degrees
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to rotate
_degree (float) : (float) The angle in degrees
Returns: (Point) The rotated point
method vceil(_a, _digits)
Ceil a point to a certain number of digits
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to ceil
_digits (int) : (int) The number of digits to ceil to
Returns: (Point) The ceiled point
method vpow(_a, _exponent)
Raise both point elements to a power
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
_exponent (float) : (float) The exponent
Returns: (Point) The point with elements raised to the power
method perpendicular_distance(_a, _b, _c)
Distance from point _a to line between _b and _c
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
_b (Point) : (Point) The start point of the line
_c (Point) : (Point) The end point of the line
Returns: (float) The perpendicular distance
method project(_a, _axis)
Project a point onto another
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to project
_axis (Point) : (Point) The point to project onto
Returns: (Point) The projected point
method projectN(_a, _axis)
Project a point onto a point of unit length
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to project
_axis (Point) : (Point) The unit length point to project onto
Returns: (Point) The projected point
method reflect(_a, _axis)
Reflect a point on another
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to reflect
_axis (Point) : (Point) The point to reflect on
Returns: (Point) The reflected point
method reflectN(_a, _axis)
Reflect a point to an arbitrary axis
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to reflect
_axis (Point) : (Point) The axis to reflect to
Returns: (Point) The reflected point
method angle_rad(_a)
Angle in radians of a point
Namespace types: Point
Parameters:
_a (Point) : (Point) The point
Returns: (float) The angle in radians
method angle_unsigned(_a, _b)
Unsigned degree angle between 0 and +180 by given two points
Namespace types: Point
Parameters:
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (float) The unsigned angle in degrees
method angle_signed(_a, _b)
Signed degree angle between -180 and +180 by given two points
Namespace types: Point
Parameters:
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (float) The signed angle in degrees
method angle_360(_a, _b)
Degree angle between 0 and 360 by given two points
Namespace types: Point
Parameters:
_a (Point) : (Point) The first point
_b (Point) : (Point) The second point
Returns: (float) The angle in degrees (0-360)
method clamp(_a, _vmin, _vmax)
Restricts a point between a min and max value
Namespace types: Point
Parameters:
_a (Point) : (Point) The point to restrict
_vmin (Point) : (Point) The minimum point
_vmax (Point) : (Point) The maximum point
Returns: (Point) The restricted point
method lerp(_a, _b, _rate_of_move)
Linearly interpolates between points a and b by _rate_of_move
Namespace types: Point
Parameters:
_a (Point) : (Point) The starting point
_b (Point) : (Point) The ending point
_rate_of_move (float) : (float) The rate of movement (0-1)
Returns: (Point) The interpolated point
method slope(p1, p2)
Slope of a line between two points
Namespace types: Point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
Returns: (float) - The slope of the line
method gety(self, x)
Get y-coordinate of a point on the line given its x-coordinate
Namespace types: Line
Parameters:
self (Line) : (Line) - The line
x (float) : (float) - The x-coordinate
Returns: (float) - The y-coordinate
method getx(self, y)
Get x-coordinate of a point on the line given its y-coordinate
Namespace types: Line
Parameters:
self (Line) : (Line) - The line
y (float) : (float) - The y-coordinate
Returns: (float) - The x-coordinate
method intersection(self, other)
Intersection point of two lines
Namespace types: Line
Parameters:
self (Line) : (Line) - The first line
other (Line) : (Line) - The second line
Returns: (Point) - The intersection point
method calculate_arc_point(self, b, p3)
Calculate a point on the arc defined by three points
Namespace types: Point
Parameters:
self (Point) : (Point) The starting point of the arc
b (Point) : (Point) The middle point of the arc
p3 (Point) : (Point) The end point of the arc
Returns: (Point) A point on the arc
approximate_center(point1, point2, point3)
Approximate the center of a spiral using three points
Parameters:
point1 (Point) : (Point) The first point
point2 (Point) : (Point) The second point
point3 (Point) : (Point) The third point
Returns: (Point) The approximate center point
createEdge(center, radius, angle)
Get coordinate from center by radius and angle
Parameters:
center (Point) : (Point) - The center point
radius (float) : (float) - The radius of the circle
angle (float) : (float) - The angle in degrees
Returns: (Point) - The coordinate on the circle
getGrowthFactor(p1, p2, p3)
Get growth factor of spiral point
Parameters:
p1 (Point) : (Point) - The first point
p2 (Point) : (Point) - The second point
p3 (Point) : (Point) - The third point
Returns: (float) - The growth factor
method to_chart_point(point)
Convert Point to chart.point using chart.point.from_index(safeindex(point.x), point.y)
Namespace types: Point
Parameters:
point (Point) : (Point) - The point to convert
Returns: (chart.point) - The chart.point representation of the input point
method plotline(p1, p2, col, width)
Draw a line from p1 to p2
Namespace types: Point
Parameters:
p1 (Point) : (Point) First point
p2 (Point) : (Point) Second point
col (color)
width (int)
Returns: (line) Line object
method drawlines(points, col, ignore_boundary)
Draw lines between points in an array
Namespace types: array
Parameters:
points (array) : (array) The array of points
col (color) : (color) The color of the lines
ignore_boundary (bool) : (bool) The color of the lines
method to_chart_points(points)
Draw an array of points as chart points on the chart with line.new(chartpoint1, chartpoint2, color=linecolor)
Namespace types: array
Parameters:
points (array) : (array) - The points to draw
Returns: (array) The array of chart points
polygon_area(points)
Calculate the area of a polygon defined by an array of points
Parameters:
points (array) : (array) The array of points representing the polygon vertices
Returns: (float) The area of the polygon
polygon_perimeter(points)
Calculate the perimeter of a polygon
Parameters:
points (array) : (array) Array of points defining the polygon
Returns: (float) Perimeter of the polygon
is_point_in_polygon(point, _polygon)
Check if a point is inside a polygon
Parameters:
point (Point) : (Point) The point to check
_polygon (array)
Returns: (bool) True if the point is inside the polygon, false otherwise
method perimeter(points)
Calculates the convex hull perimeter of a set of points
Namespace types: array
Parameters:
points (array) : (array) The array of points
Returns: (array) The array of points forming the convex hull perimeter
Point
A Point, can be used for vector, floating calcs, etc. Use the cp method for plots
Fields:
x (series float) : (float) The x-coordinate
y (series float) : (float) The y-coordinate
a (series float) : (float) An Angle storage spot
v (series float) : (float) A Value
Line
Line
Fields:
point (Point) : (Point) The starting point of the line
slope (series float) : (float) The slope of the line
GOMTRY.
KwakPineHelperLibrary "KwakPineHelper"
TODO: add library description here
fun(x)
TODO: add function description here
Parameters:
x (float) : TODO: add parameter x description here
Returns: TODO: add what function returns
all_opentrades_size()
get all opentrades size
Returns: (float) size
recent_opentrade_profit()
get recent opentrade profit
Returns: (float) profit
all_opentrades_profit()
get all opentrades profit
Returns: (float) profit
recent_closedtrade_profit()
get recent closedtrade profit
Returns: (float) profit
recent_opentrade_max_runup()
get recent opentrade max runup
Returns: (float) runup
recent_closedtrade_max_runup()
get recent closedtrade max runup
Returns: (float) runup
recent_opentrade_max_drawdown()
get recent opentrade maxdrawdown
Returns: (float) mdd
recent_closedtrade_max_drawdown()
get recent closedtrade maxdrawdown
Returns: (float) mdd
max_open_trades_drawdown()
get max open trades drawdown
Returns: (float) mdd
recent_opentrade_commission()
get recent opentrade commission
Returns: (float) commission
recent_closedtrade_commission()
get recent closedtrade commission
Returns: (float) commission
qty_by_percent_of_equity(percent)
get qty by percent of equtiy
Parameters:
percent (float) : (series float) percent that you want to set
Returns: (float) quantity
qty_by_percent_of_position_size(percent)
get size by percent of position size
Parameters:
percent (float) : (series float) percent that you want to set
Returns: (float) size
is_day_change()
get bool change of day
Returns: (bool) day is change or not
is_in_trade(numberOfBars)
get bool using number of bars
Parameters:
numberOfBars (int)
Returns: (bool) allowedToTrade
api_msg_system(chat_id, message)
Parameters:
chat_id (string)
message (string)
is_first_day()
Check if today is the first day
Returns: (bool) true if today is the first day, false otherwise
is_last_day()
Check if today is the last day
Returns: (bool) true if today is the last day, false otherwise
is_entry()
Check if trade is open
Returns: (bool) true if trade is open, false otherwise
is_close()
Check if trade is closed
Returns: (bool) true if trade is closed, false otherwise
is_win()
Check if trade is win
Returns: (bool) true if trade is win, false otherwise
is_loss()
Check if trade is loss
Returns: (bool) true if trade is loss, false otherwise
FibRatiosLibrary "FibRatios"
Library with calculation logic for fib retracement, extension and ratios
retracement(a, b, ratio, logScale, precision)
Calculates the retracement for points a, b with given ratio and scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
ratio (float) : Ratio for which we need to calculate retracement c
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1
Returns: retracement point c for points a,b with given ratio and scale
retracementRatio(a, b, c, logScale, precision)
Calculates the retracement ratio for points a, b, c with given scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3
Returns: retracement ratio for points a,b,c on given scale
extension(a, b, c, ratio, logScale, precision)
Calculates the extensions for points a, b, c with given ratio and scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
ratio (float) : Ratio for which we need to calculate extension d
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1
Returns: extensoin point d for points a,b,c with given ratio and scale
extensionRatio(a, b, c, d, logScale, precision)
Calculates the extension ratio for points a, b, c, d with given scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
d (float) : Extension point. d should be placed beyond a, c. But, can be with b,c or beyond b
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3
Returns: extension ratio for points a,b,c,d on given scale
lib_setLibrary "lib_set"
This is a convenience lib that bundles different setter functions allowing to update all coordinates and of line/box in one call, and coordinates and text for label.
method set_xy_text(this, x, y, txt, tooltip)
Updates a label object with new data (equals redrawing it)
Namespace types: series label
Parameters:
this (label)
x (int) : reassigns the x coordinate, optional param, no effect if x = na (same as draw(extend_only = true) for Line objects). Avoiding to reassign x can prevent errors for invalid params passed to set_x***
y (float) : reassigns the y coordinate
txt (string) : reassigns the label text
tooltip (string) : reassigns the label tooltip
method set_xy1_xy2(this, x1, y1, x2, y2)
Updates a line object with new data (equals redrawing it)
Namespace types: series line
Parameters:
this (line)
x1 (int) : reassigns the x1 coordinate, optional param, no effect if x1 = na (same as draw(extend_only = true) for Line objects). Avoiding to reassign x1 can prevent errors for invalid params passed to set_x***
y1 (float) : reassigns the y1 coordinate
x2 (int) : reassigns the x2 coordinate
y2 (float) : reassigns the y2 coordinate
method set_left_top_right_bottom(this, left, top, right, bottom)
Updates a box object with new data (equals redrawing it)
Namespace types: series box
Parameters:
this (box)
left (int) : reassigns the left coordinate, optional param, no effect if left = na (same as draw(extend_only = true) for Box objects). Avoiding to reassign 'left' can prevent errors for invalid params passed to set_x***
top (float) : reassigns the top coordinate
right (int) : reassigns the right coordinate
bottom (float) : reassigns the bottom coordinate
WavesLibrary "Waves"
Methods for elliot wave detection
method delete(this)
deletes the subwave drawing
Namespace types: Subwave
Parameters:
this (Subwave) : Subwave object to be deleted
Returns: deleted subwave object
method delete(this)
deletes the wave drawing and the corresponding subwaves
Namespace types: Wave
Parameters:
this (Wave) : Wave object to be deleted
Returns: deleted wave object
method createWave(pivot, lineColor, waves, limit)
Create wave object
Namespace types: zg.Pivot
Parameters:
pivot (Pivot type from Trendoscope/Zigzag/7) : pivot object where the wave needs to be created
lineColor (color) : color of the wave to be drawn
waves (array) : array of existing waves
limit (int) : max number of waves to be shown in the chart
Returns: wave object created
method createSubWaves(wave, subwavePivots)
Create sub waves for the wave
Namespace types: Wave
Parameters:
wave (Wave)
subwavePivots (array) : array of sub wave pivots
Returns: wave object created
method draw(subWave)
Draw subwave
Namespace types: Subwave
Parameters:
subWave (Subwave)
Returns: subwsubWave object
method draw(wave, limitSubwaves)
Draw Wave
Namespace types: Wave
Parameters:
wave (Wave) : Wave object to be drawn
limitSubwaves (bool) : limit the number of subwave combinations within the wave
Returns: wave object
method checkMotiveWave(prices)
based on the price array, check if there is motive wave and identify the type
Namespace types: array
Parameters:
prices (array) : float array of prices
Returns: WaveType representing the identified wave type. na otherwise
method scanMotiveWave(pivot, lastPivot, existingWaves, allowedTypes)
Scan for motive wave
Namespace types: zg.Pivot
Parameters:
pivot (Pivot type from Trendoscope/Zigzag/7) : Zigzag pivot that will be checked for motive wave
lastPivot (Pivot type from Trendoscope/Zigzag/7) : previous Zigzag pivot
existingWaves (array) : array of existing waves
allowedTypes (array) : allowed Wave types to filter them
Returns: array of subwave pivots
SubwavePivots
SubwavePivots represents the sub pivots of the main wave
Fields:
waveType (series WaveType) : Type of the Wave
indices (array) : Bar index values of sub waves
subPivots (array type from Trendoscope/Zigzag/7) : sub pivot objects of the wave
Subwave
Subwave represents the drawing of sub waves
Fields:
waves (array type from Trendoscope/Drawing/1) : array of sub wave lines
points (array type from Trendoscope/Drawing/1) : Array of subwave pivot labels
subwavePivots (SubwavePivots) : array of subwave pivots being drawn
Wave
Wave object type
Fields:
pivot (Pivot type from Trendoscope/Zigzag/7) : starting point of the wave
wave (Line type from Trendoscope/Drawing/1) : Line representing the wave
waveLabel (Label type from Trendoscope/Drawing/1) : label containing wave details
subWaves (array) : array of sub waves
DrawingLibrary "Drawing"
User Defined types and methods for basic drawing structure. Consolidated from the earlier libraries - DrawingTypes and DrawingMethods
method get_price(this, bar)
get line price based on bar
Namespace types: Line
Parameters:
this (Line) : (series Line) Line object.
bar (int) : (series/int) bar at which line price need to be calculated
Returns: line price at given bar.
method init(this)
Namespace types: PolyLine
Parameters:
this (PolyLine)
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Point object to string representation
Namespace types: chart.point
Parameters:
this (chart.point) : DrawingTypes/Point object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Point
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/LineProperties object to string representation
Namespace types: LineProperties
Parameters:
this (LineProperties) : DrawingTypes/LineProperties object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/LineProperties
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Line object to string representation
Namespace types: Line
Parameters:
this (Line) : DrawingTypes/Line object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Line
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/LabelProperties object to string representation
Namespace types: LabelProperties
Parameters:
this (LabelProperties) : DrawingTypes/LabelProperties object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/LabelProperties
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Label object to string representation
Namespace types: Label
Parameters:
this (Label) : DrawingTypes/Label object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Label
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Linefill object to string representation
Namespace types: Linefill
Parameters:
this (Linefill) : DrawingTypes/Linefill object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Linefill
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/BoxProperties object to string representation
Namespace types: BoxProperties
Parameters:
this (BoxProperties) : DrawingTypes/BoxProperties object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/BoxProperties
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/BoxText object to string representation
Namespace types: BoxText
Parameters:
this (BoxText) : DrawingTypes/BoxText object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/BoxText
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Box object to string representation
Namespace types: Box
Parameters:
this (Box) : DrawingTypes/Box object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Box
method delete(this)
Deletes line from DrawingTypes/Line object
Namespace types: Line
Parameters:
this (Line) : DrawingTypes/Line object
Returns: Line object deleted
method delete(this)
Deletes label from DrawingTypes/Label object
Namespace types: Label
Parameters:
this (Label) : DrawingTypes/Label object
Returns: Label object deleted
method delete(this)
Deletes Linefill from DrawingTypes/Linefill object
Namespace types: Linefill
Parameters:
this (Linefill) : DrawingTypes/Linefill object
Returns: Linefill object deleted
method delete(this)
Deletes box from DrawingTypes/Box object
Namespace types: Box
Parameters:
this (Box) : DrawingTypes/Box object
Returns: DrawingTypes/Box object deleted
method delete(this)
Deletes lines from array of DrawingTypes/Line objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Line objects
Returns: Array of DrawingTypes/Line objects
method delete(this)
Deletes labels from array of DrawingTypes/Label objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
method delete(this)
Deletes linefill from array of DrawingTypes/Linefill objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Linefill objects
Returns: Array of DrawingTypes/Linefill objects
method delete(this)
Deletes boxes from array of DrawingTypes/Box objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Box objects
Returns: Array of DrawingTypes/Box objects
method clear(this)
clear items from array of DrawingTypes/Line while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method clear(this)
clear items from array of DrawingTypes/Label while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method clear(this)
clear items from array of DrawingTypes/Linefill while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method clear(this)
clear items from array of DrawingTypes/Box while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method draw(this)
Creates line from DrawingTypes/Line object
Namespace types: Line
Parameters:
this (Line) : DrawingTypes/Line object
Returns: line created from DrawingTypes/Line object
method draw(this)
Creates lines from array of DrawingTypes/Line objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Line objects
Returns: Array of DrawingTypes/Line objects
method draw(this)
Creates label from DrawingTypes/Label object
Namespace types: Label
Parameters:
this (Label) : DrawingTypes/Label object
Returns: label created from DrawingTypes/Label object
method draw(this)
Creates labels from array of DrawingTypes/Label objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
method draw(this)
Creates linefill object from DrawingTypes/Linefill
Namespace types: Linefill
Parameters:
this (Linefill) : DrawingTypes/Linefill objects
Returns: linefill object created
method draw(this)
Creates linefill objects from array of DrawingTypes/Linefill objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Linefill objects
Returns: Array of DrawingTypes/Linefill used for creating linefills
method draw(this)
Creates box from DrawingTypes/Box object
Namespace types: Box
Parameters:
this (Box) : DrawingTypes/Box object
Returns: box created from DrawingTypes/Box object
method draw(this)
Creates labels from array of DrawingTypes/Label objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
method createLabel(this, lblText, tooltip, properties)
Creates DrawingTypes/Label object from DrawingTypes/Point
Namespace types: chart.point
Parameters:
this (chart.point) : DrawingTypes/Point object
lblText (string) : Label text
tooltip (string) : Tooltip text. Default is na
properties (LabelProperties) : DrawingTypes/LabelProperties object. Default is na - meaning default values are used.
Returns: DrawingTypes/Label object
method createLine(this, other, properties)
Creates DrawingTypes/Line object from one DrawingTypes/Point to other
Namespace types: chart.point
Parameters:
this (chart.point) : First DrawingTypes/Point object
other (chart.point) : Second DrawingTypes/Point object
properties (LineProperties) : DrawingTypes/LineProperties object. Default set to na - meaning default values are used.
Returns: DrawingTypes/Line object
method createLinefill(this, other, fillColor, transparency)
Creates DrawingTypes/Linefill object from DrawingTypes/Line object to other DrawingTypes/Line object
Namespace types: Line
Parameters:
this (Line) : First DrawingTypes/Line object
other (Line) : Other DrawingTypes/Line object
fillColor (color) : fill color of linefill. Default is color.blue
transparency (int) : fill transparency for linefill. Default is 80
Returns: Array of DrawingTypes/Linefill object
method createBox(this, other, properties, textProperties)
Creates DrawingTypes/Box object from one DrawingTypes/Point to other
Namespace types: chart.point
Parameters:
this (chart.point) : First DrawingTypes/Point object
other (chart.point) : Second DrawingTypes/Point object
properties (BoxProperties) : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.
textProperties (BoxText) : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn
Returns: DrawingTypes/Box object
method createBox(this, properties, textProperties)
Creates DrawingTypes/Box object from DrawingTypes/Line as diagonal line
Namespace types: Line
Parameters:
this (Line) : Diagonal DrawingTypes/PoLineint object
properties (BoxProperties) : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.
textProperties (BoxText) : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn
Returns: DrawingTypes/Box object
LineProperties
Properties of line object
Fields:
xloc (series string) : X Reference - can be either xloc.bar_index or xloc.bar_time. Default is xloc.bar_index
extend (series string) : Property which sets line to extend towards either right or left or both. Valid values are extend.right, extend.left, extend.both, extend.none. Default is extend.none
color (series color) : Line color
style (series string) : Line style, valid values are line.style_solid, line.style_dashed, line.style_dotted, line.style_arrow_left, line.style_arrow_right, line.style_arrow_both. Default is line.style_solid
width (series int) : Line width. Default is 1
Line
Line object created from points
Fields:
start (chart.point) : Starting point of the line
end (chart.point) : Ending point of the line
properties (LineProperties) : LineProperties object which defines the style of line
object (series line) : Derived line object
LabelProperties
Properties of label object
Fields:
xloc (series string) : X Reference - can be either xloc.bar_index or xloc.bar_time. Default is xloc.bar_index
yloc (series string) : Y reference - can be yloc.price, yloc.abovebar, yloc.belowbar. Default is yloc.price
color (series color) : Label fill color
style (series string) : Label style as defined in Tradingview Documentation. Default is label.style_none
textcolor (series color) : text color. Default is color.black
size (series string) : Label text size. Default is size.normal. Other values are size.auto, size.tiny, size.small, size.normal, size.large, size.huge
textalign (series string) : Label text alignment. Default if text.align_center. Other allowed values - text.align_right, text.align_left, text.align_top, text.align_bottom
text_font_family (series string) : The font family of the text. Default value is font.family_default. Other available option is font.family_monospace
Label
Label object
Fields:
point (chart.point) : Point where label is drawn
lblText (series string) : label text
tooltip (series string) : Tooltip text. Default is na
properties (LabelProperties) : LabelProperties object
object (series label) : Pine label object
Linefill
Linefill object
Fields:
line1 (Line) : First line to create linefill
line2 (Line) : Second line to create linefill
fillColor (series color) : Fill color
transparency (series int) : Fill transparency range from 0 to 100
object (series linefill) : linefill object created from wrapper
BoxProperties
BoxProperties object
Fields:
border_color (series color) : Box border color. Default is color.blue
bgcolor (series color) : box background color
border_width (series int) : Box border width. Default is 1
border_style (series string) : Box border style. Default is line.style_solid
extend (series string) : Extend property of box. default is extend.none
xloc (series string) : defines if drawing needs to be done based on bar index or time. default is xloc.bar_index
BoxText
Box Text properties.
Fields:
boxText (series string) : Text to be printed on the box
text_size (series string) : Text size. Default is size.auto
text_color (series color) : Box text color. Default is color.yellow.
text_halign (series string) : horizontal align style - default is text.align_center
text_valign (series string) : vertical align style - default is text.align_center
text_wrap (series string) : text wrap style - default is text.wrap_auto
text_font_family (series string) : Text font. Default is
Box
Box object
Fields:
p1 (chart.point) : Diagonal point one
p2 (chart.point) : Diagonal point two
properties (BoxProperties) : Box properties
textProperties (BoxText) : Box text properties
object (series box) : Box object created
PolyLineProperties
Fields:
curved (series bool)
closed (series bool)
xloc (series string)
lineColor (series color)
fillColor (series color)
lineStyle (series string)
lineWidth (series int)
PolyLine
Fields:
points (array)
properties (PolyLineProperties)
object (series polyline)
CandleAnalysisLibrary "CandleAnalysis"
A collection of frequently used candle analysis functions in my scripts.
isBullish(barsBack)
Checks if a specific bar is bullish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bullish, otherwise returns false.
isBearish(barsBack)
Checks if a specific bar is bearish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bearish, otherwise returns false.
isBE(barsBack)
Checks if a specific bar is break even.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is break even, otherwise returns false.
getBodySize(barsBack, inPriceChg)
Calculates a specific candle's body size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the body size as a price change value. The default is false (in points).
Returns: The candle's body size in points.
getTopWickSize(barsBack, inPriceChg)
Calculates a specific candle's top wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's top wick size in points.
getBottomWickSize(barsBack, inPriceChg)
Calculates a specific candle's bottom wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's bottom wick size in points.
getBodyPercent(barsBack)
Calculates a specific candle's body size as a percentage of its entire size including its wicks.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: The candle's body size percentage.
isHammer(fib, bullish, barsBack)
Checks if a specific bar is a hammer candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bullish (bool) : (bool) True if the candle must to be green. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a hammer candle, otherwise returns false.
isShootingStar(fib, bearish, barsBack)
Checks if a specific bar is a shooting star candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bearish (bool) : (bool) True if the candle must to be red. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a shooting star candle, otherwise returns false.
isDoji(wickSize, bodySize, barsBack)
Checks if a specific bar is a doji candle based on a given wick and body size.
Parameters:
wickSize (float) : (float) The maximum top wick size compared to the bottom and vice versa. The default is 1.5.
bodySize (float) : (bool) The maximum body size as a percentage compared to the entire candle size. The default is 5.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a doji candle.
isBullishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bullish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum top wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bullish engulfing candle.
isBearishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bearish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum bottom wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bearish engulfing candle.
MarketAnalysisLibrary "MarketAnalysis"
A collection of frequently used market analysis functions in my scripts.
bullFibRet(priceLow, priceHigh, fibLevel)
Calculates a bullish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bearFibRet(priceLow, priceHigh, fibLevel)
Calculates a bearish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bullFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bullish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
bearFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bearish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
MarcosLibraryLibrary "MarcosLibrary"
A colection of frequently used functions in my scripts.
bullFibRet(priceLow, priceHigh, fibLevel)
Calculates a bullish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bearFibRet(priceLow, priceHigh, fibLevel)
Calculates a bearish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bullFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bullish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
bearFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bearish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
isBullish(barsBack)
Checks if a specific bar is bullish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bullish, otherwise returns false.
isBearish(barsBack)
Checks if a specific bar is bearish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bearish, otherwise returns false.
isBE(barsBack)
Checks if a specific bar is break even.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is break even, otherwise returns false.
getBodySize(barsBack, inPriceChg)
Calculates a specific candle's body size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the body size as a price change value. The default is false (in points).
Returns: The candle's body size in points.
getTopWickSize(barsBack, inPriceChg)
Calculates a specific candle's top wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's top wick size in points.
getBottomWickSize(barsBack, inPriceChg)
Calculates a specific candle's bottom wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's bottom wick size in points.
getBodyPercent(barsBack)
Calculates a specific candle's body size as a percentage of its entire size including its wicks.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: The candle's body size percentage.
isHammer(fib, bullish, barsBack)
Checks if a specific bar is a hammer candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bullish (bool) : (bool) True if the candle must to be green. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a hammer candle, otherwise returns false.
isShootingStar(fib, bearish, barsBack)
Checks if a specific bar is a shooting star candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bearish (bool) : (bool) True if the candle must to be red. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a shooting star candle, otherwise returns false.
isDoji(wickSize, bodySize, barsBack)
Checks if a specific bar is a doji candle based on a given wick and body size.
Parameters:
wickSize (float) : (float) The maximum top wick size compared to the bottom and vice versa. The default is 1.5.
bodySize (float) : (bool) The maximum body size as a percentage compared to the entire candle size. The default is 5.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a doji candle.
isBullishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bullish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum top wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bullish engulfing candle.
isBearishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bearish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum bottom wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bearish engulfing candle.
mathLibrary "math"
It's a library of discrete aproximations of a price or Series float it uses Fourier Discrete transform, Laplace Discrete Original and Modified transform and Euler's Theoreum for Homogenus White noice operations. Calling functions without source value it automatically take close as the default source value.
Here is a picture of Laplace and Fourier approximated close prices from this library:
Copy this indicator and try it yourself:
import AutomatedTradingAlgorithms/math/1 as math
//@version=5
indicator("Close Price with Aproximations", shorttitle="Close and Aproximations", overlay=false)
// Sample input data (replace this with your own data)
inputData = close
// Plot Close Price
plot(inputData, color=color.blue, title="Close Price")
ltf32_result = math.LTF32(a=0.01)
plot(ltf32_result, color=color.green, title="LTF32 Aproximation")
fft_result = math.FFT()
plot(fft_result, color=color.red, title="Fourier Aproximation")
wavelet_result = math.Wavelet()
plot(wavelet_result, color=color.orange, title="Wavelet Aproximation")
wavelet_std_result = math.Wavelet_std()
plot(wavelet_std_result, color=color.yellow, title="Wavelet_std Aproximation")
DFT3(xval, _dir)
Discrete Fourier Transform with last 3 points
Parameters:
xval (float) : Source series
_dir (int) : Direction parameter
Returns: Aproxiated source value
DFT2(xval, _dir)
Discrete Fourier Transform with last 2 points
Parameters:
xval (float) : Source series
_dir (int) : Direction parameter
Returns: Aproxiated source value
FFT(xval)
Fast Fourier Transform once. It aproximates usig last 3 points.
Parameters:
xval (float) : Source series
Returns: Aproxiated source value
DFT32(xval)
Combined Discrete Fourier Transforms of DFT3 and DTF2 it aproximates last point by first
aproximating last 3 ponts and than using last 2 points of the previus.
Parameters:
xval (float) : Source series
Returns: Aproxiated source value
DTF32(xval)
Combined Discrete Fourier Transforms of DFT3 and DTF2 it aproximates last point by first
aproximating last 3 ponts and than using last 2 points of the previus.
Parameters:
xval (float) : Source series
Returns: Aproxiated source value
LFT3(xval, _dir, a)
Discrete Laplace Transform with last 3 points
Parameters:
xval (float) : Source series
_dir (int) : Direction parameter
a (float) : laplace coeficient
Returns: Aproxiated source value
LFT2(xval, _dir, a)
Discrete Laplace Transform with last 2 points
Parameters:
xval (float) : Source series
_dir (int) : Direction parameter
a (float) : laplace coeficient
Returns: Aproxiated source value
LFT(xval, a)
Fast Laplace Transform once. It aproximates usig last 3 points.
Parameters:
xval (float) : Source series
a (float) : laplace coeficient
Returns: Aproxiated source value
LFT32(xval, a)
Combined Discrete Laplace Transforms of LFT3 and LTF2 it aproximates last point by first
aproximating last 3 ponts and than using last 2 points of the previus.
Parameters:
xval (float) : Source series
a (float) : laplace coeficient
Returns: Aproxiated source value
LTF32(xval, a)
Combined Discrete Laplace Transforms of LFT3 and LTF2 it aproximates last point by first
aproximating last 3 ponts and than using last 2 points of the previus.
Parameters:
xval (float) : Source series
a (float) : laplace coeficient
Returns: Aproxiated source value
whitenoise(indic_, _devided, minEmaLength, maxEmaLength, src)
Ehler's Universal Oscillator with White Noise, without extra aproximated src.
It uses dinamic EMA to aproximate indicator and thus reducing noise.
Parameters:
indic_ (float) : Input series for the indicator values to be smoothed
_devided (int) : Divisor for oscillator calculations
minEmaLength (int) : Minimum EMA length
maxEmaLength (int) : Maximum EMA length
src (float) : Source series
Returns: Smoothed indicator value
whitenoise(indic_, dft1, _devided, minEmaLength, maxEmaLength, src)
Ehler's Universal Oscillator with White Noise and DFT1.
It uses src and sproxiated src (dft1) to clearly define white noice.
It uses dinamic EMA to aproximate indicator and thus reducing noise.
Parameters:
indic_ (float) : Input series for the indicator values to be smoothed
dft1 (float) : Aproximated src value for white noice calculation
_devided (int) : Divisor for oscillator calculations
minEmaLength (int) : Minimum EMA length
maxEmaLength (int) : Maximum EMA length
src (float) : Source series
Returns: Smoothed indicator value
smooth(dft1, indic__, _devided, minEmaLength, maxEmaLength, src)
Smoothing source value with help of indicator series and aproximated source value
It uses src and sproxiated src (dft1) to clearly define white noice.
It uses dinamic EMA to aproximate src and thus reducing noise.
Parameters:
dft1 (float) : Value to be smoothed.
indic__ (float) : Optional input for indicator to help smooth dft1 (default is FFT)
_devided (int) : Divisor for smoothing calculations
minEmaLength (int) : Minimum EMA length
maxEmaLength (int) : Maximum EMA length
src (float) : Source series
Returns: Smoothed source (src) series
smooth(indic__, _devided, minEmaLength, maxEmaLength, src)
Smoothing source value with help of indicator series
It uses dinamic EMA to aproximate src and thus reducing noise.
Parameters:
indic__ (float) : Optional input for indicator to help smooth dft1 (default is FFT)
_devided (int) : Divisor for smoothing calculations
minEmaLength (int) : Minimum EMA length
maxEmaLength (int) : Maximum EMA length
src (float) : Source series
Returns: Smoothed src series
vzo_ema(src, len)
Volume Zone Oscillator with EMA smoothing
Parameters:
src (float) : Source series
len (simple int) : Length parameter for EMA
Returns: VZO value
vzo_sma(src, len)
Volume Zone Oscillator with SMA smoothing
Parameters:
src (float) : Source series
len (int) : Length parameter for SMA
Returns: VZO value
vzo_wma(src, len)
Volume Zone Oscillator with WMA smoothing
Parameters:
src (float) : Source series
len (int) : Length parameter for WMA
Returns: VZO value
alma2(series, windowsize, offset, sigma)
Arnaud Legoux Moving Average 2 accepts sigma as series float
Parameters:
series (float) : Input series
windowsize (int) : Size of the moving average window
offset (float) : Offset parameter
sigma (float) : Sigma parameter
Returns: ALMA value
Wavelet(src, len, offset, sigma)
Aproxiates srt using Discrete wavelet transform.
Parameters:
src (float) : Source series
len (int) : Length parameter for ALMA
offset (simple float)
sigma (simple float)
Returns: Wavelet-transformed series
Wavelet_std(src, len, offset, mag)
Aproxiates srt using Discrete wavelet transform with standard deviation as a magnitude.
Parameters:
src (float) : Source series
len (int) : Length parameter for ALMA
offset (float) : Offset parameter for ALMA
mag (int) : Magnitude parameter for standard deviation
Returns: Wavelet-transformed series
LaplaceTransform(xval, N, a)
Original Laplace Transform over N set of close prices
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
Returns: Aproxiated source value
NLaplaceTransform(xval, N, a, repeat)
Y repetirions on Original Laplace Transform over N set of close prices, each time N-k set of close prices
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
repeat (int) : number of repetitions
Returns: Aproxiated source value
LaplaceTransformsum(xval, N, a, b)
Sum of 2 exponent coeficient of Laplace Transform over N set of close prices
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
Returns: Aproxiated source value
NLaplaceTransformdiff(xval, N, a, b, repeat)
Difference of 2 exponent coeficient of Laplace Transform over N set of close prices
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
repeat (int) : number of repetitions
Returns: Aproxiated source value
N_divLaplaceTransformdiff(xval, N, a, b, repeat)
N repetitions of Difference of 2 exponent coeficient of Laplace Transform over N set of close prices, with dynamic rotation
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
repeat (int) : number of repetitions
Returns: Aproxiated source value
LaplaceTransformdiff(xval, N, a, b)
Difference of 2 exponent coeficient of Laplace Transform over N set of close prices
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
Returns: Aproxiated source value
NLaplaceTransformdiffFrom2(xval, N, a, b, repeat)
N repetitions of Difference of 2 exponent coeficient of Laplace Transform over N set of close prices, second element has for 1 higher exponent factor
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
repeat (int) : number of repetitions
Returns: Aproxiated source value
N_divLaplaceTransformdiffFrom2(xval, N, a, b, repeat)
N repetitions of Difference of 2 exponent coeficient of Laplace Transform over N set of close prices, second element has for 1 higher exponent factor, dynamic rotation
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
repeat (int) : number of repetitions
Returns: Aproxiated source value
LaplaceTransformdiffFrom2(xval, N, a, b)
Difference of 2 exponent coeficient of Laplace Transform over N set of close prices, second element has for 1 higher exponent factor
Parameters:
xval (float) : series to aproximate
N (int) : number of close prices in calculations
a (float) : laplace coeficient
b (float) : second laplace coeficient
Returns: Aproxiated source value
divergingchartpatternLibrary "divergingchartpattern"
Library having implementation of converging chart patterns
getPatternNameByType(patternType)
Returns pattern name based on type
Parameters:
patternType (int) : integer value representing pattern type
Returns: string name of the pattern
method find(this, sProperties, dProperties, patterns, ohlcArray)
find converging patterns for given zigzag
Namespace types: zg.Zigzag
Parameters:
this (Zigzag type from Trendoscope/ZigzagLite/2) : Current zigzag Object
sProperties (ScanProperties) : ScanProperties Object
dProperties (DrawingProperties type from Trendoscope/abstractchartpatterns/5) : DrawingProperties Object
patterns (array type from Trendoscope/abstractchartpatterns/5) : array of existing patterns to check for duplicates
ohlcArray (array type from Trendoscope/ohlc/1) : array of OHLC values for historical reference
Returns: string name of the pattern
ScanProperties
Object containing properties for pattern scanning
Fields:
baseProperties (ScanProperties type from Trendoscope/abstractchartpatterns/5) : Object of Base Scan Properties
convergingDistanceMultiplier (series float)
regressionsLibrary "regressions"
This library computes least square regression models for polynomials of any form for a given data set of x and y values.
fit(X, y, reg_type, degrees)
Takes a list of X and y values and the degrees of the polynomial and returns a least square regression for the given polynomial on the dataset.
Parameters:
X (array) : (float ) X inputs for regression fit.
y (array) : (float ) y outputs for regression fit.
reg_type (string) : (string) The type of regression. If passing value for degrees use reg.type_custom
degrees (array) : (int ) The degrees of the polynomial which will be fit to the data. ex: passing array.from(0, 3) would be a polynomial of form c1x^0 + c2x^3 where c2 and c1 will be coefficients of the best fitting polynomial.
Returns: (regression) returns a regression with the best fitting coefficients for the selecected polynomial
regress(reg, x)
Regress one x input.
Parameters:
reg (regression) : (regression) The fitted regression which the y_pred will be calulated with.
x (float) : (float) The input value cooresponding to the y_pred.
Returns: (float) The best fit y value for the given x input and regression.
predict(reg, X)
Predict a new set of X values with a fitted regression. -1 is one bar ahead of the realtime
Parameters:
reg (regression) : (regression) The fitted regression which the y_pred will be calulated with.
X (array)
Returns: (float ) The best fit y values for the given x input and regression.
generate_points(reg, x, y, left_index, right_index)
Takes a regression object and creates chart points which can be used for plotting visuals like lines and labels.
Parameters:
reg (regression) : (regression) Regression which has been fitted to a data set.
x (array) : (float ) x values which coorispond to passed y values
y (array) : (float ) y values which coorispond to passed x values
left_index (int) : (int) The offset of the bar farthest to the realtime bar should be larger than left_index value.
right_index (int) : (int) The offset of the bar closest to the realtime bar should be less than right_index value.
Returns: (chart.point ) Returns an array of chart points
plot_reg(reg, x, y, left_index, right_index, curved, close, line_color, line_width)
Simple plotting function for regression for more custom plotting use generate_points() to create points then create your own plotting function.
Parameters:
reg (regression) : (regression) Regression which has been fitted to a data set.
x (array)
y (array)
left_index (int) : (int) The offset of the bar farthest to the realtime bar should be larger than left_index value.
right_index (int) : (int) The offset of the bar closest to the realtime bar should be less than right_index value.
curved (bool) : (bool) If the polyline is curved or not.
close (bool) : (bool) If true the polyline will be closed.
line_color (color) : (color) The color of the line.
line_width (int) : (int) The width of the line.
Returns: (polyline) The polyline for the regression.
series_to_list(src, left_index, right_index)
Convert a series to a list. Creates a list of all the cooresponding source values
from left_index to right_index. This should be called at the highest scope for consistency.
Parameters:
src (float) : (float ) The source the list will be comprised of.
left_index (int) : (float ) The left most bar (farthest back historical bar) which the cooresponding source value will be taken for.
right_index (int) : (float ) The right most bar closest to the realtime bar which the cooresponding source value will be taken for.
Returns: (float ) An array of size left_index-right_index
range_list(start, stop, step)
Creates an from the start value to the stop value.
Parameters:
start (int) : (float ) The true y values.
stop (int) : (float ) The predicted y values.
step (int) : (int) Positive integer. The spacing between the values. ex: start=1, stop=6, step=2:
Returns: (float ) An array of size stop-start
regression
Fields:
coeffs (array__float)
degrees (array__float)
type_linear (series__string)
type_quadratic (series__string)
type_cubic (series__string)
type_custom (series__string)
_squared_error (series__float)
X (array__float)
ZigZag LibraryThis is yet another ZigZag library.
🔵 Key Features
1. Lightning-Fast Performance : Optimized code ensures minimal lag and swift chart updates.
2. Real-Time Swing Detection : No more waiting for swings to finalize! This library continuously identifies the latest swing formation.
3. Amplitude-Aware : Discover significant swings earlier, even if they haven't reached the standard bar length.
4. Customizable Visualization : Draw ZigZag on-demand using polylines for a tailored analysis experience.
Stay tuned for more features as this library is being continuously enhanced. For the latest updates, please refer to the release information.
🔵 API
// Import this library. Remember to check the latest version of this library and replace the version number below.
import algotraderdev/zigzag/1 as zz
// Initialize the ZigZag instance.
var zz.ZigZag zig = zz.ZigZag.new().init(
zz.Settings.new(
swingLen = 5,
lineColor = color.blue,
lineStyle = line.style_solid,
lineWidth = 1))
// Analyze the ZigZag using the latest bar's data.
zig.tick()
// Draw the ZigZag.
if barstate.islast
zig.draw()
aproxLibrary "aprox"
It's a library of the aproximations of a price or Series float it uses Fourier transform and
Euler's Theoreum for Homogenus White noice operations. Calling functions without source value it automatically take close as the default source value.
Copy this indicator to see how each approximations interact between each other.
import Celje_2300/aprox/1 as aprox
//@version=5
indicator("Close Price with Aproximations", shorttitle="Close and Aproximations", overlay=false)
// Sample input data (replace this with your own data)
inputData = close
// Plot Close Price
plot(inputData, color=color.blue, title="Close Price")
dtf32_result = aprox.DTF32()
plot(dtf32_result, color=color.green, title="DTF32 Aproximation")
fft_result = aprox.FFT()
plot(fft_result, color=color.red, title="DTF32 Aproximation")
wavelet_result = aprox.Wavelet()
plot(wavelet_result, color=color.orange, title="Wavelet Aproximation")
wavelet_std_result = aprox.Wavelet_std()
plot(wavelet_std_result, color=color.yellow, title="Wavelet_std Aproximation")
DFT3(xval, _dir)
Parameters:
xval (float)
_dir (int)
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - DFT3", shorttitle="DFT3 Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply DFT3
result = aprox.DFT3(inputData, 2)
// Plot the result
plot(result, color=color.blue, title="DFT3 Result")
DFT2(xval, _dir)
Parameters:
xval (float)
_dir (int)
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - DFT2", shorttitle="DFT2 Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply DFT2
result = aprox.DFT2(inputData, inputData, 1)
// Plot the result
plot(result, color=color.green, title="DFT2 Result")
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - DFT2", shorttitle="DFT2 Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply DFT2
result = aprox.DFT2(inputData, 1)
// Plot the result
plot(result, color=color.green, title="DFT2 Result")
FFT(xval)
FFT: Fast Fourier Transform
Parameters:
xval (float)
Returns: Aproxiated source value
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - FFT", shorttitle="FFT Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply FFT
result = aprox.FFT(inputData)
// Plot the result
plot(result, color=color.red, title="FFT Result")
DTF32(xval)
DTF32: Combined Discrete Fourier Transforms
Parameters:
xval (float)
Returns: Aproxiated source value
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - DTF32", shorttitle="DTF32 Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply DTF32
result = aprox.DTF32(inputData)
// Plot the result
plot(result, color=color.purple, title="DTF32 Result")
whitenoise(indic_, _devided, minEmaLength, maxEmaLength, src)
whitenoise: Ehler's Universal Oscillator with White Noise, without extra aproximated src
Parameters:
indic_ (float)
_devided (int)
minEmaLength (int)
maxEmaLength (int)
src (float)
Returns: Smoothed indicator value
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - whitenoise", shorttitle="whitenoise Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply whitenoise
result = aprox.whitenoise(aprox.FFT(inputData))
// Plot the result
plot(result, color=color.orange, title="whitenoise Result")
whitenoise(indic_, dft1, _devided, minEmaLength, maxEmaLength, src)
whitenoise: Ehler's Universal Oscillator with White Noise and DFT1
Parameters:
indic_ (float)
dft1 (float)
_devided (int)
minEmaLength (int)
maxEmaLength (int)
src (float)
Returns: Smoothed indicator value
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - whitenoise with DFT1", shorttitle="whitenoise-DFT1 Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply whitenoise with DFT1
result = aprox.whitenoise(inputData, aprox.DFT1(inputData))
// Plot the result
plot(result, color=color.yellow, title="whitenoise-DFT1 Result")
smooth(dft1, indic__, _devided, minEmaLength, maxEmaLength, src)
smooth: Smoothing source value with help of indicator series and aproximated source value
Parameters:
dft1 (float)
indic__ (float)
_devided (int)
minEmaLength (int)
maxEmaLength (int)
src (float)
Returns: Smoothed source series
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - smooth", shorttitle="smooth Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply smooth
result = aprox.smooth(inputData, aprox.FFT(inputData))
// Plot the result
plot(result, color=color.gray, title="smooth Result")
smooth(indic__, _devided, minEmaLength, maxEmaLength, src)
smooth: Smoothing source value with help of indicator series
Parameters:
indic__ (float)
_devided (int)
minEmaLength (int)
maxEmaLength (int)
src (float)
Returns: Smoothed source series
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - smooth without DFT1", shorttitle="smooth-NoDFT1 Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply smooth without DFT1
result = aprox.smooth(aprox.FFT(inputData))
// Plot the result
plot(result, color=color.teal, title="smooth-NoDFT1 Result")
vzo_ema(src, len)
vzo_ema: Volume Zone Oscillator with EMA smoothing
Parameters:
src (float)
len (simple int)
Returns: VZO value
vzo_sma(src, len)
vzo_sma: Volume Zone Oscillator with SMA smoothing
Parameters:
src (float)
len (int)
Returns: VZO value
vzo_wma(src, len)
vzo_wma: Volume Zone Oscillator with WMA smoothing
Parameters:
src (float)
len (int)
Returns: VZO value
alma2(series, windowsize, offset, sigma)
alma2: Arnaud Legoux Moving Average 2 accepts sigma as series float
Parameters:
series (float)
windowsize (int)
offset (float)
sigma (float)
Returns: ALMA value
Wavelet(src, len, offset, sigma)
Wavelet: Wavelet Transform
Parameters:
src (float)
len (int)
offset (simple float)
sigma (simple float)
Returns: Wavelet-transformed series
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - Wavelet", shorttitle="Wavelet Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply Wavelet
result = aprox.Wavelet(inputData)
// Plot the result
plot(result, color=color.blue, title="Wavelet Result")
Wavelet_std(src, len, offset, mag)
Wavelet_std: Wavelet Transform with Standard Deviation
Parameters:
src (float)
len (int)
offset (float)
mag (int)
Returns: Wavelet-transformed series
//@version=5
import Celje_2300/aprox/1 as aprox
indicator("Example - Wavelet_std", shorttitle="Wavelet_std Example", overlay=true)
// Sample input data (replace this with your own data)
inputData = close
// Apply Wavelet_std
result = aprox.Wavelet_std(inputData)
// Plot the result
plot(result, color=color.green, title="Wavelet_std Result")
convergingpatternsLibrary "convergingpatterns"
Library having implementation of converging chart patterns
getPatternNameByType(patternType)
Returns pattern name based on type
Parameters:
patternType (int) : integer value representing pattern type
Returns: string name of the pattern
method find(this, sProperties, dProperties, patterns, ohlcArray)
find converging patterns for given zigzag
Namespace types: zg.Zigzag
Parameters:
this (Zigzag type from Trendoscope/ZigzagLite/2) : Current zigzag Object
sProperties (ScanProperties) : ScanProperties Object
dProperties (DrawingProperties type from Trendoscope/abstractchartpatterns/5) : DrawingProperties Object
patterns (array type from Trendoscope/abstractchartpatterns/5) : array of existing patterns to check for duplicates
ohlcArray (array type from Trendoscope/ohlc/1) : array of OHLC values for historical reference
Returns: string name of the pattern
ScanProperties
Object containing properties for pattern scanning
Fields:
baseProperties (ScanProperties type from Trendoscope/abstractchartpatterns/5) : Object of Base Scan Properties
convergingDistanceMultiplier (series float) : when multiplied with pattern size gets the max number of bars within which the pattern should converge
basechartpatternsLibrary "basechartpatterns"
Library having complete chart pattern implementation
getPatternNameById(id)
Returns pattern name by id
Parameters:
id (int) : pattern id
Returns: Pattern name
method find(points, properties, dProperties, ohlcArray)
Find patterns based on array of points
Namespace types: chart.point
Parameters:
points (chart.point ) : array of chart.point objects
properties (ScanProperties type from Trendoscope/abstractchartpatterns/1) : ScanProperties object
dProperties (DrawingProperties type from Trendoscope/abstractchartpatterns/1) : DrawingProperties object
ohlcArray (OHLC type from Trendoscope/ohlc/1)
Returns: Flag indicating if the pattern is valid, Current Pattern object
method find(this, properties, dProperties, patterns, ohlcArray)
Find patterns based on the currect zigzag object but will not store them in the pattern array.
Namespace types: zg.Zigzag
Parameters:
this (Zigzag type from Trendoscope/ZigzagLite/2) : Zigzag object containing pivots
properties (ScanProperties type from Trendoscope/abstractchartpatterns/1) : ScanProperties object
dProperties (DrawingProperties type from Trendoscope/abstractchartpatterns/1) : DrawingProperties object
patterns (Pattern type from Trendoscope/abstractchartpatterns/1) : Array of Pattern objects
ohlcArray (OHLC type from Trendoscope/ohlc/1)
Returns: Flag indicating if the pattern is valid, Current Pattern object
abstractchartpatternsLibrary "abstractchartpatterns"
Library having abstract types and methods for chart pattern implementations
checkBarRatio(p1, p2, p3, properties)
checks if three zigzag pivot points are having uniform bar ratios
Parameters:
p1 (chart.point) : First pivot point
p2 (chart.point) : Second pivot point
p3 (chart.point) : Third pivot point
properties (ScanProperties)
Returns: true if points are having uniform bar ratio
getRatioDiff(p1, p2, p3)
gets ratio difference between 3 pivot combinations
Parameters:
p1 (chart.point)
p2 (chart.point)
p3 (chart.point)
Returns: returns the ratio difference between pivot2/pivot1 ratio and pivot3/pivot2 ratio
method inspect(points, stratingBar, endingBar, direction, ohlcArray)
Creates a trend line between 2 or 3 points and validates and selects best combination
Namespace types: chart.point
Parameters:
points (chart.point ) : Array of chart.point objects used for drawing trend line
stratingBar (int) : starting bar of the trend line
endingBar (int) : ending bar of the trend line
direction (float) : direction of the last pivot. Tells whether the line is joining upper pivots or the lower pivots
ohlcArray (OHLC type from Trendoscope/ohlc/1) : Array of OHLC values
Returns: boolean flag indicating if the trend line is valid and the trend line object as tuple
method draw(this)
draws pattern on the chart
Namespace types: Pattern
Parameters:
this (Pattern) : Pattern object that needs to be drawn
Returns: Current Pattern object
method erase(this)
erase the given pattern on the chart
Namespace types: Pattern
Parameters:
this (Pattern) : Pattern object that needs to be erased
Returns: Current Pattern object
method push(this, p, maxItems)
push Pattern object to the array by keeping maxItems limit
Namespace types: Pattern
Parameters:
this (Pattern ) : array of Pattern objects
p (Pattern) : Pattern object to be added to array
@oaram maxItems Max number of items the array can hold
maxItems (int)
Returns: Current Pattern array
method deepcopy(this)
Perform deep copy of a chart point array
Namespace types: chart.point
Parameters:
this (chart.point ) : array of chart.point objects
Returns: deep copy array
DrawingProperties
Object containing properties for pattern drawing
Fields:
patternLineWidth (series int) : Line width of the pattern trend lines
showZigzag (series bool) : show zigzag associated with pattern
zigzagLineWidth (series int) : line width of the zigzag lines. Used only when showZigzag is set to true
zigzagLineColor (series color) : color of the zigzag lines. Used only when showZigzag is set to true
showPatternLabel (series bool) : display pattern label containing the name
patternLabelSize (series string) : size of the pattern label. Used only when showPatternLabel is set to true
showPivotLabels (series bool) : Display pivot labels of the patterns marking 1-6
pivotLabelSize (series string) : size of the pivot label. Used only when showPivotLabels is set to true
pivotLabelColor (series color) : color of the pivot label outline. chart.bg_color or chart.fg_color are the appropriate values.
deleteOnPop (series bool) : delete the pattern when popping out from the array of Patterns.
Pattern
Object containing Individual Pattern data
Fields:
points (chart.point )
originalPoints (chart.point )
trendLine1 (Line type from Trendoscope/LineWrapper/1) : First trend line joining pivots 1, 3, 5
trendLine2 (Line type from Trendoscope/LineWrapper/1) : Second trend line joining pivots 2, 4 (, 6)
properties (DrawingProperties) : DrawingProperties Object carrying common properties
patternColor (series color) : Individual pattern color. Lines and labels will be using this color.
ratioDiff (series float) : Difference between trendLine1 and trendLine2 ratios
zigzagLine (series polyline) : Internal zigzag line drawing Object
pivotLabels (label ) : array containning Pivot labels
patternLabel (series label) : pattern label Object
patternType (series int) : integer representing the pattern type
patternName (series string) : Type of pattern in string
ScanProperties
Object containing properties for pattern scanning
Fields:
offset (series int) : Zigzag pivot offset. Set it to 1 for non repainting scan.
numberOfPivots (series int) : Number of pivots to be used in pattern search. Can be either 5 or 6
errorRatio (series float) : Error Threshold to be considered for comparing the slope of lines
flatRatio (series float) : Retracement ratio threshold used to determine if the lines are flat
checkBarRatio (series bool) : Also check bar ratio are within the limits while scanning the patterns
barRatioLimit (series float) : Bar ratio limit used for checking the bars. Used only when checkBarRatio is set to true
avoidOverlap (series bool) : avoid overlapping patterns.
allowedPatterns (bool ) : array of bool encoding the allowed pattern types.
allowedLastPivotDirections (int ) : array of int representing allowed last pivot direction for each pattern types
themeColors (color ) : color array of themes to be used.
