Alert Sender Library [TradingFinder]Library "AlertSenderLibrary_TradingFinder"
🔵 Introduction
The "Alert Sender Library" is a management and production program for "Alert Messages" that enables the creation of unique messages for any type of signal generated by indicators or strategies.
These messages include the direction of the signal, symbol, time frame, the date and time the condition was triggered, prices related to the signal, and a personal message from you. To make better and more optimal use of this "library", you should carefully study " Key Features" and "How to Use".
🔵 Key Features
Automatic Detection of Appropriate Type :
Using two parameters, "AlertType" and "DetectionType", which you must enter at the beginning into the "AlertSender" function, the type of the alert message is determined.
For example, if you select one of the "DetectionType"s such as "Order Block Signal", "Signal", and "Setup", your alert type will be chosen based on "Long" and "Short". Whether it's "Long" or "Short" depends on the "AlertType" you have set to either "Bullish" or "Bearish".
Automatic Symbol Detection :
Whenever you add an alert for a specific symbol, if you want the name of that symbol to be in your message text, you must manually write the name of the symbol in your message. One of the capabilities of the "Alert Sender" is the automatic detection of the symbol and adding it to the message text.
Automatic Time Frame Detection :
When adding your alert, the "Alert Sender" detects the time frame of the symbol you intend to add the alert for and adds it to the text. This feature is very practical and can prevent traders from making mistakes.
For example, a trader might add alerts for a specific symbol using a specific indicator in different time frames, taking the main signal in the 1-hour time frame and only a confirmation signal in the 15-minute time frame. This feature helps to identify in which time frame the signal is set.
Detection of Date and Time When the Signal is Triggered :
You can have the date and time at the moment the message is sent. This feature has various uses. For example, if you use the Webhook URL feature to send messages to a Telegram channel, there might be issues with alert delivery on your server, causing delays, and you might receive the message when it has lost its validity.
With this feature, you can match the sending time of the message from TradingView with the receipt time in your messenger and detect if there is a delay in message delivery.
Important :
You can also set the Time Zone you wish to receive the date and time based on.
Display of "Key Prices" :
Key prices can vary based on the type of signals. For example, when the "DetectionType" is in "Order Block Signal" mode, the key prices are the "Distal" and "Proximal" prices. Or if the "DetectionType" is in "Setup" mode, the key prices are "Entry", "Stop Loss", and "Take Profit".
Receipt of Personal "Messages" :
You can enter your personal message using "input.string" or "input.text_area" in addition to the messages that are automatically created.
Beautiful and Functional Display of Messages :
The titles of messages sent by "AlertSender" are displayed using related emojis to prevent mistakes due to visual errors, enhancing beauty.
🔵 How to Use
🟣 Familiarity with Function and Parameters
AlertSender(Condition, Alert, AlertName, AlertType, DetectionType, SetupData, Frequency, UTC, MoreInfo, Message, o, h, l, c, Entry, TP, SL, Distal, Proximal)
Parameters:
- Condition (bool)
- Alert (string)
- AlertName (string)
- AlertType (string)
- DetectionType (string)
- SetupData (string)
- Frequency (string)
- UTC (string)
- MoreInfo (string)
- Message (string)
- o (float)
- h (float)
- l (float)
- c (float)
- Entry (float)
- TP (float)
- SL (float)
- Distal (float)
- Proximal (float)
To add "Alert Sender Library", you must first add the following code to your script.
import TFlab/AlertSenderLibrary_TradingFinder/1
🟣 Parameters
"Condition" : This parameter is a Boolean. You need to set it based on the condition that, when met (or fired), you want to receive an alert. The output should be either "true" or "false".
"Alert" : This parameter accepts one of two inputs, "On" or "Off". If set to "On", the alarm is active; if "Off", the alarm is deactivated. This input is useful when you have numerous alerts in an indicator or strategy and need to activate only a few of them. "Alert" is a string parameter.
Alert = input.string('On', 'Alert', , 'If you turn on the Alert, you can receive alerts and notifications after setting the "Alert".', group = 'Alert')
"AlertName" : This is a string parameter where you can enter the name you choose for your alert.
AlertName = input.string('Order Blocks Finder ', 'Alert Name', group = 'Alert')
"AlertType" : The inputs for this parameter are "Bullish" or "Bearish". If the condition selected in the "Condition" parameter is of a bullish bias, you should set this parameter to "Bullish", and if the condition is of a bearish bias, it should be set to "Bearish". "AlertType" is a string parameter.
"DetectionType" : This parameter's predefined inputs include "Order Block Signal", "Signal", "Setup", and "Analysis". You may provide other inputs, but some functionalities, like "Key Price", might be lost. "DetectionType" is a string parameter.
"SetupData" :
If "DetectionType" is set to "Setup", you must specify "SetupData" as either "Basic" or "Full". In "Basic" mode, only the "Entry" price needs to be defined in the function, and "TP" (Take Profit) and "SL" (Stop Loss) can be any number or NA. In "Full" mode, you need to define "Entry", "SL", and "TP". "Setup" is a string parameter.
"Frequency" : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Frequency = input.string('Once Per Bar', 'Message Frequency', , 'The triggering frequency. Possible values are: All (all function calls trigger the alert), Once Per Bar (the first function call during the bar triggers the alert), Per Bar Close (the function call triggers the alert only when it occurs during the last script iteration of the real-time bar, when it closes). The default is alert.freq_once_per_bar.', group = 'Alert')
"UTC" : With this parameter, you can set the Time Zone for the date and time of the alert's dispatch. "UTC" is a string parameter and can be set as "UTC-4", "UTC+1", "UTC+9", or any other Time Zone.
UTC = input.string('UTC', 'Show Alert time by Time Zone', group = 'Alert')
"MoreInfo" : This parameter can take one of two inputs, "On" or "Off", which are strings. Additional information, including "Time" and "Key Price", is included. If set to "On", this information is received; if "Off", it is not displayed in the sent message.
MoreInfo = input.string('On', 'Display More Info', , group = 'Alert')
"Message" : This parameter captures the user's personal message through an input and displays it at the end of the sent message. It is a string input.
MessageBull = input.text_area('Long Position', 'Long Signal Message', group = 'Alert') MessageBear = input.text_area('Short Position', 'Short Signal Message', group = 'Alert')
"o" (Open Price): A floating-point number representing the opening price of the candle. This input is necessary when the "DetectionType" is set to "Signal". Otherwise, it can be any number or "na".
"h" (High Price): A float variable for the highest price of the candle. Required when "DetectionType" is "Signal"; in other cases, any number or "na" is acceptable.
"l" (Low Price): A float representing the lowest price of the candle. This field must be filled if "DetectionType" is "Signal". If not, it can be any number or "na".
"c" (Close Price): A floating-point variable indicating the closing price of the candle. Needed for "Signal" type detections; otherwise, it can take any value or "na".
"Entry" : A float variable indicating the entry price into a trading setup. This is relevant when "DetectionType" is in "Setup" mode. In other scenarios, it can be any number or "na". It denotes the price at which the trade setup is entered.
"TP" (Take Profit): A float that is necessary when "DetectionType" is "Setup" and "SetupData" is "Full". Otherwise, it can be any number or "na". It signifies the price target for taking profits in a trading setup.
"SL" (Stop Loss): A float required when "DetectionType" is "Setup" and "SetupData" is "Full". It can be any number or "na" in other cases. This value represents the price at which a stop loss is set to limit losses.
"Distal" : A float important for "Order Block Signal" detection. It can be any number or "na" if not in use. This variable indicates the price reaching the distal line of an order block.
"Proximal" : A float needed for "Order Block Signal" detection mode. It can take any value or "na" otherwise. It marks the price reaching the proximal line of an order block.
Display
footpint_drovingLibrary "footpint_droving"
methods for printing all footprint objects
method print_droving(foot_bar, sup)
printing all footprint objects
Namespace types: footprint_type.Footprint_bar
Parameters:
foot_bar (Footprint_bar type from dboichenko/footprint_type/1) : instance of Footprint_bar type
sup (Support_objects type from dboichenko/footprint_type/1) : instance of Support_objects type
Returns: Void.
footprint_typeLibrary "footprint_type"
Contains all types for calculating and rendering footprints
Inputs
Inputs objects
Fields:
inbalance_percent (series int) : percentage coefficient to determine the Imbalance of price levels
stacked_input (series int) : minimum number of consecutive Imbalance levels required to draw extended lines
show_summary_footprint (series bool) : bool input for show summary footprint
procent_volume_area (series int) : definition size Value area
show_vah (series bool) : bool input for show VAH
show_poc (series bool) : bool input for show POC
show_val (series bool) : bool input for show VAL
color_vah (series color) : color VAH line
color_poc (series color) : color POC line
color_val (series color) : color VAL line
show_volume_profile (series bool)
new_imbalance_cond (series bool) : bool input for setup alert on new imbalance buy and sell
new_imbalance_line_cond (series bool) : bool input for setup alert on new imbalance line buy and sell
stop_past_imbalance_line_cond (series bool) : bool input for setup alert on stop past imbalance line buy and sell
Constants
Constants all Constants objects
Fields:
imbalance_high_char (series string) : char for printing buy imbalance
imbalance_low_char (series string) : char for printing sell imbalance
color_title_sell (series color) : color for footprint sell
color_title_buy (series color) : color for footprint buy
color_line_sell (series color) : color for sell line
color_line_buy (series color) : color for buy line
color_title_none (series color) : color None
Calculation_data
Calculation_data data for calculating
Fields:
detail_open (array) : array open from calculation timeframe
detail_high (array) : array high from calculation timeframe
detail_low (array) : array low from calculation timeframe
detail_close (array) : array close from calculation timeframe
detail_vol (array) : array volume from calculation timeframe
previos_detail_close (array) : array close from calculation timeframe
isBuyVolume (series bool) : attribute previosly bar buy or sell
Footprint_row
Footprint_row objects one footprint row
Fields:
price (series float) : row price
buy_vol (series float) : buy volume
sell_vol (series float) : sell volume
imbalance_buy (series bool) : attribute buy inbalance
imbalance_sell (series bool) : attribute sell imbalance
buy_vol_box (series box) : for ptinting buy volume
sell_vol_box (series box) : for printing sell volume
buy_vp_box (series box) : for ptinting volume profile buy
sell_vp_box (series box) : for ptinting volume profile sell
row_line (series label) : for ptinting row price
empty (series bool) : = true attribute row with zero volume buy and zero volume sell
Value_area
Value_area objects for calculating and printing Value area
Fields:
vah_price (series float) : VAH price
poc_price (series float) : POC price
val_price (series float) : VAL price
vah_label (series label) : label for VAH
poc_label (series label) : label for POC
val_label (series label) : label for VAL
vah_line (series line) : line for VAH
poc_level (series line) : line for POC
val_line (series line) : line for VAL
Imbalance_line_var_object
Imbalance_line_var_object var objects printing and calculation imbalance line
Fields:
cum_buy_line (array) : line array for saving all history buy imbalance line
cum_sell_line (array) : line array for saving all history sell imbalance line
Imbalance_line
Imbalance_line objects printing and calculation imbalance line
Fields:
buy_price_line (array) : float array for saving buy imbalance price level
sell_price_line (array) : float array for saving sell imbalance price level
var_imba_line (Imbalance_line_var_object) : var objects this type
Footprint_info_var_object
Footprint_info_var_object var objects for info printing
Fields:
cum_delta (series float) : var delta volume
cum_total (series float) : var total volume
cum_buy_vol (series float) : var buy volume
cum_sell_vol (series float) : var sell volume
cum_info (series table) : table for ptinting
Footprint_info
Footprint_info objects for info printing
Fields:
var_info (Footprint_info_var_object) : var objects this type
total (series label) : total volume
delta (series label) : delta volume
summary_label (series label) : label for ptinting
Footprint_bar
Footprint_bar all objects one bar with footprint
Fields:
foot_rows (array) : objects one row footprint
val_area (Value_area) : objects Value area
imba_line (Imbalance_line) : objects imbalance line
info (Footprint_info) : objects info - table,label and their variable
row_size (series float) : size rows
total_vol (series float) : total volume one footprint bar
foot_buy_vol (series float) : buy volume one footprint bar
foot_sell_vol (series float) : sell volume one footprint bar
foot_max_price_vol (map) : map with one value - price row with max volume buy + sell
calc_data (Calculation_data) : objects with detail data from calculation resolution
Support_objects
Support_objects support object for footprint calculation
Fields:
consts (Constants) : all consts objects
inp (Inputs) : all input objects
bar_index_show_condition (series bool) : calculation bool value for show all objects footprint
row_line_color (series color) : calculation value - color for row price
ZigZag Library [TradingFinder]🔵 Introduction
The "Zig Zag" indicator is an analytical tool that emerges from pricing changes. Essentially, it connects consecutive high and low points in an oscillatory manner. This method helps decipher price changes and can also be useful in identifying traditional patterns.
By sifting through partial price changes, "Zig Zag" can effectively pinpoint price fluctuations within defined time intervals.
🔵 Key Features
1. Drawing the Zig Zag based on Pivot points :
The algorithm is based on pivots that operate consecutively and alternately (switch between high and low swing). In this way, zigzag lines are connected from a swing high to a swing low and from a swing low to a swing high.
Also, with a very low probability, it is possible to have both low pivots and high pivots in one candle. In these cases, the algorithm tries to make the best decision to make the most suitable choice.
You can control what period these decisions are based on through the "PiPe" parameter.
2.Naming and labeling each pivot based on its position as "Higher High" (HH), "Lower Low" (LL), "Higher Low" (HL), and "Lower High" (LH).
Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis.
" HH ": When the price is higher than the previous peak (Higher High).
" HL ": When the price is higher than the previous low (Higher Low).
" LH ": When the price is lower than the previous peak (Lower High).
" LL ": When the price is lower than the previous low (Lower Low).
🔵 How to Use
First, you can add the library to your code as shown in the example below.
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
Function "ZigZag" Parameters :
🟣 Logical Parameters
1. HIGH : You should place the "high" value here. High is a float variable.
2. LOW : You should place the "low" value here. Low is a float variable.
3. BAR_INDEX : You should place the "bar_index" value here. Bar_index is an integer variable.
4. PiPe : The desired pivot period for plotting Zig Zag is placed in this parameter. For example, if you intend to draw a Zig Zag with a Swing Period of 5, you should input 5.
PiPe is an integer variable.
Important :
Apart from the "PiPe" indicator, which is part of the customization capabilities of this indicator, you can create a multi-time frame mode for the indicator using 3 parameters "High", "Low" and "BAR_INDEX". In this way, instead of the data of the current time frame, use the data of other time frames.
Note that it is better to use the current time frame data, because using the multi-time frame mode is associated with challenges that may cause bugs in your code.
🟣 Setting Parameters
5. SHOW_LINE : It's a boolean variable. When true, the Zig Zag line is displayed, and when false, the Zig Zag line display is disabled.
6. STYLE_LINE : In this variable, you can determine the style of the Zig Zag line. You can input one of the 3 options: line.style_solid, line.style_dotted, line.style_dashed. STYLE_LINE is a constant string variable.
7. COLOR_LINE : This variable takes the input of the line color.
8. WIDTH_LINE : The input for this variable is a number from 1 to 3, which is used to adjust the thickness of the line that draws the Zig Zag. WIDTH_LINE is an integer variable.
9. SHOW_LABEL : It's a boolean variable. When true, labels are displayed, and when false, label display is disabled.
10. COLOR_LABEL : The color of the labels is set in this variable.
11. SIZE_LABEL : The size of the labels is set in this variable. You should input one of the following options: size.auto, size.tiny, size.small, size.normal, size.large, size.huge.
12. Show_Support : It's a boolean variable that, when true, plots the last support line, and when false, disables its plotting.
13. Show_Resistance : It's a boolean variable that, when true, plots the last resistance line, and when false, disables its plotting.
Suggestion :
You can use the following code snippet to import Zig Zag into your code for time efficiency.
//import Library
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
// Input and Setting
// Zig Zag Line
ShZ = input.bool(true , 'Show Zig Zag Line', group = 'Zig Zag') //Show Zig Zag
PPZ = input.int(5 ,'Pivot Period Zig Zag Line' , group = 'Zig Zag') //Pivot Period Zig Zag
ZLS = input.string(line.style_dashed , 'Zig Zag Line Style' , options = , group = 'Zig Zag' )
//Zig Zag Line Style
ZLC = input.color(color.rgb(0, 0, 0) , 'Zig Zag Line Color' , group = 'Zig Zag') //Zig Zag Line Color
ZLW = input.int(1 , 'Zig Zag Line Width' , group = 'Zig Zag')//Zig Zag Line Width
// Label
ShL = input.bool(true , 'Label', group = 'Label') //Show Label
LC = input.color(color.rgb(0, 0, 0) , 'Label Color' , group = 'Label')//Label Color
LS = input.string(size.tiny , 'Label size' , options = , group = 'Label' )//Label size
Show_Support= input.bool(false, 'Show Last Support',
tooltip = 'Last Support' , group = 'Support and Resistance')
Show_Resistance = input.bool(false, 'Show Last Resistance',
tooltip = 'Last Resistance' , group = 'Support and Resistance')
//Call Function
ZZ.ZigZag(high ,low ,bar_index ,PPZ , ShZ ,ZLS , ZLC, ZLW ,ShL , LC , LS , Show_Support , Show_Resistance )
MTF TREND-PANEL-(AS)
0). INTRODUCTION: "MTF TREND-PANEL-(AS)" is a technical tool for traders who often perform multi-timeframe analysis.
This simple tool is meant for traders who wish to monitor and keep track of trend directions simultaneously on various timeframes, ranging from 1MIN to 3MONTHS (or other - 'DIFF')
script enhances decision-making efficiency and provides a clearer picture of market condition by integrating multiple timeframe analysis into a single panel.
1). WARNING!:
-script doesn't make any calculations on its own really but is more of a tool for traders to remember what is happening on other time frames
- use tooltips to navigate settings easier
2). MAIN OPTIONS:
- Keeps track of up to 7 timeframes. (NUMBER of TimeFrames setting, from 1-7)
- Customizable Display: Choose to display nothing, upward/downward arrows, or a range indication for each timeframe.
- timeframe options: '1-MIN','5-MIN','15-MIN','30-MIN','1H','4H','1D','1W','1M','3M','DIFF'
- Color Coding: Define your preferred colors for each timeframe
- set position of the table and size of text (Position/text)
- Personal Touch: Add your own trading maxim or motto for inspiration to show up when SHOW TEXT is turned on
3. )OPTIONS:
-NUMBER of TimeFrames setting: from 1-7 - how many rows to show
-SHOW TABLE: Toggle to display or hide the trend table panel.
-SHOW TEXT: Show or hide your personalized trading maxim.
-SHOW TREND: Enable to display trend direction arrows.
-SHOW_CLRS: Turn on to activate color coding for each timeframe.
-position/text size for table
-settings for each timeframe:color,time,trend
-place to type ur own text
5). How to Use the Script:
-After adding the script to your chart, use the 'NUMBER of TimeFrames' setting to select how many timeframes you want to track (1 to 7).
-Customize the appearance of each timeframe row using the color and arrow options.
-For trend analysis, the script offers arrows to indicate upward, downward, or ranging markets.
-decide what trend dominates particular TF (using other tools - script does not calculate trend on its own )
- mark trends on panel to keep track of all TF
-Enable or disable various features like the table panel, trader maxim, and color coding using the ON/OFF options.
6). just in case:
- ask me anything about the code
-don't be shy to report any bugs or offer improvements of any kind.
- originally created for @ict_whiz and made public at his request
Material Design ColorsThis library provides a standard set of colors defined in Material Design 2.0.
🔵 API
Step 1: Import this library.
import algotraderdev/material/1
// remember to check the latest version of this library and replace the 1 above.
Step 2: Get the color you like. Check the source code or the screenshot above to see all the supported colors.
material.red()
Each color function (except for `black()` and `white()`) accepts an optional `variant` parameter. You can choose any of 50, 100, 200, 300, 400, 500, 600, 700, 800, and 900. By default, 500 is chosen if this parameter is not provided.
LineWrapperLibrary "LineWrapper"
Wrapper Type for Line. Useful when you want to store the line details without drawing them. Can also be used in scnearios where you collect lines to be drawn and draw together towards the end.
method draw(this)
draws line as per the wrapper object contents
Namespace types: Line
Parameters:
this (Line) : (series Line) Line object.
Returns: current Line object
method draw(this)
draws lines as per the wrapper object array
Namespace types: Line
Parameters:
this (Line ) : (series array) Array of Line object.
Returns: current Array of Line objects
method update(this)
updates or redraws line as per the wrapper object contents
Namespace types: Line
Parameters:
this (Line) : (series Line) Line object.
Returns: current Line object
method update(this)
updates or redraws lines as per the wrapper object array
Namespace types: Line
Parameters:
this (Line ) : (series array) Array of Line object.
Returns: current Array of Line objects
method delete(this)
Deletes the underlying line drawing object
Namespace types: Line
Parameters:
this (Line) : (series Line) Line object.
Returns: Current Line object
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.
Line
Line Wrapper object
Fields:
p1 (chart.point)
p2 (chart.point)
xloc (series string) : (series string) See description of x1 argument. Possible values: xloc.bar_index and xloc.bar_time. Default is xloc.bar_index.
extend (series string) : (series string) If extend=extend.none, draws segment starting at point (x1, y1) and ending at point (x2, y2). If extend is equal to extend.right or extend.left, draws a ray starting at point (x1, y1) or (x2, y2), respectively. If extend=extend.both, draws a straight line that goes through these points. Default value is extend.none.
color (series color) : (series color) Line color.
style (series string) : (series string) Line style. Possible values: line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_left, line.style_arrow_right, line.style_arrow_both.
width (series int) : (series int) Line width in pixels.
obj (series line) : line object
TTB_TableBuilderLibrary "TTB_TableBuilder"
A helper library to make it simpler to create tables in pinescript
DefaultDarkStyle()
method Size(this, width, height)
Change the size (width, height) of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
width (int)
height (int)
Returns: Cell
method Size(this, width, height)
Change the width of all cells in that row
Namespace types: Row
Parameters:
this (Row)
width (int)
height (int)
Returns: Row
method Width(this, width)
Change the width of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
width (int)
Returns: Cell
method Width(this, width)
Change the width of all cells in that row
Namespace types: Row
Parameters:
this (Row)
width (int)
Returns: Row
method Height(this, height)
Change the height of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
height (int)
Returns: Cell
method Height(this, height)
Change the height of all cells in that row
Namespace types: Row
Parameters:
this (Row)
height (int)
Returns: Row
method Text(this, text_)
Change the text of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
text_ (string)
Returns: Cell
method Text(this, c0, c1, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26, c27, c28, c29)
Set text
Namespace types: Row
Parameters:
this (Row)
c0 (string) : ... c29
c1 (string)
c3 (string)
c4 (string)
c5 (string)
c6 (string)
c7 (string)
c8 (string)
c9 (string)
c10 (string)
c11 (string)
c12 (string)
c13 (string)
c14 (string)
c15 (string)
c16 (string)
c17 (string)
c18 (string)
c19 (string)
c20 (string)
c21 (string)
c22 (string)
c23 (string)
c24 (string)
c25 (string)
c26 (string)
c27 (string)
c28 (string)
c29 (string)
Returns: Row
method TextSize(this, text_size)
Change the text size of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
text_size (string)
Returns: Cell
method TextSize(this, text_size)
Set text size
Namespace types: Row
Parameters:
this (Row)
text_size (string)
Returns: Row
method TextColor(this, c)
Change the text color of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
c (color)
Returns: Cell
method TextColor(this, text_color)
Change the text color of all cells in that row
Namespace types: Row
Parameters:
this (Row)
text_color (color)
Returns: Row
method Bg(this, c)
Change the background color of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
c (color)
Returns: Cell
method Bg(this, bg)
Change the background color of all cells in that row
Namespace types: Row
Parameters:
this (Row)
bg (color)
Returns: Row
method Font(this, text_font_family)
Change the font family of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
text_font_family (string)
Returns: Cell
method Font(this, text_font_family)
Change the width of all cells in that row
Namespace types: Row
Parameters:
this (Row)
text_font_family (string)
Returns: Row
method AlignH(this, halign)
Change the horizontal align of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
halign (string)
Returns: Cell
method AlignH(this, halign)
Change the horizontal align of all cells in that row
Namespace types: Row
Parameters:
this (Row)
halign (string)
Returns: Cell
method AlignV(this, valign)
Change the vertical align of the table cell.
Namespace types: Cell
Parameters:
this (Cell)
valign (string)
Returns: Cell
method AlignV(this, valign)
Change the vertical of all cells in that row
Namespace types: Row
Parameters:
this (Row)
valign (string)
Returns: Cell
method C(this, column)
Get the cell corresponding to the column number
Namespace types: Row
Parameters:
this (Row)
column (int)
Returns: Cell
method C(this, column, row)
Namespace types: Table
Parameters:
this (Table)
column (int)
row (int)
method R(this, row)
Namespace types: Table
Parameters:
this (Table)
row (int)
method Style(this, style)
Namespace types: Table
Parameters:
this (Table)
style (TableStyle)
method Position(this, position)
Namespace types: Table
Parameters:
this (Table)
position (string)
new(position, columns, rows, style)
Parameters:
position (string)
columns (int)
rows (int)
style (TableStyle)
CellStyle
Fields:
text_color (series__color)
text_halign (series__string)
text_valign (series__string)
text_size (series__integer)
bgcolor (series__color)
tooltip (series__string)
text_font_family (series__string)
TableStyle
Fields:
bgcolor (series__color)
frame_color (series__color)
frame_width (series__integer)
border_color (series__color)
border_width (series__integer)
default_cell_style (|CellStyle|#OBJ)
Cell
Fields:
ref (series__table)
column (series__integer)
row (series__integer)
Row
Fields:
ref (series__table)
row (series__integer)
cells (array__|Cell|#OBJ)
Table
Fields:
body (series__table)
rows (array__|Row|#OBJ)
Mad_FibonacciboxLibrary "Mad_Fibonaccibox"
This library is designed to create and manage multiple Fibonacci boxes, which are graphical representations based on the inputs.
-----------------
exports:
f_fib_calc(_Fibonacci_box, _itemnumber)
fibonacci calc.
@description This function block uses the levels and paramters set into the type_fibonacci_box(levels) and fills the corresponding array of prices.
Parameters:
_Fibonacci_box (type_Fibonacci_box )
_itemnumber (int)
Returns: returns a type_Fibonacci_box with the filled data
f_fib_draw(_Fibonacci_box, _itemnumber)
fibonacci draw.
@description This function block uses the levels, prices and paramters set into the type_fibonacci_box(levels) and draws the fib on the chart
Parameters:
_Fibonacci_box (type_Fibonacci_box )
_itemnumber (int)
Returns: returns lines labels and fills on the chart, no data returns
type_level
s for defining a lines and texts of a fibonacci box
Fields:
level (series float)
price (series float)
drawline (series bool)
linewidth (series int)
linetype (series string)
fiblinecolor (series color)
drawlabel (series string)
labeltext (series string)
textshift (series int)
fibtextcolor (series color)
fibtextsize (series string)
transp (series int)
type_fill
s for defining the fills of a fibonaccibox
Fields:
partner_A (series int)
partner_B (series int)
fill_color (series color)
transp (series int)
type_Fibonacci_box
s for defining a fibonacci box
Fields:
bottom_price (series float)
top_price (series float)
StartBar (series int)
StopBar (series int)
levels (type_level )
fills (type_fill )
ChartisLog (series bool)
fibreverse (series bool)
fibdrawreverse (series bool)
decimals_price (series int)
decimals_percent (series int)
drawlines (series bool)
drawlabels (series bool)
drawfills (series bool)
draw_biginfo (series bool)
biginfo_textshift (series int)
rangeinfo_location (series int)
rangeinfo_color (series color)
rangeinfo_textsize (series string)
line_array (line )
linefill_array (linefill )
label_array (label )
GuageLibrary "Gauge"
The gauge library utilizes a gaugeParams object, encapsulating crucial parameters for gauge creation. Essential attributes include num (the measured value) , min (the minimum value equating to 100% on the gauge's minimum scale) , and max (the maximum value equating to 100% on the gauge's maximum scale) . The size attribute (defaulting to 10) splits the scale into increments, each representing 100% divided by the specified size.
The num value dynamically shifts within the gauge based on its percentage move from the mathematical average between min and max . When num is below the average, the minimum portion of the scale activates, displaying the appropriate percentage based on the distance from the average to the minimum. The same principle applies when num exceeds the average. The 100% scale is reached at either end when num equals min or max .
The library offers full customization, allowing users to configure color schemes, labels, and titles. The gauge can be displayed either vertically (default) or horizontally. The colors employ a gradient, adapting based on the number's movement. Overall, the gauge library provides a flexible and comprehensive tool for visualizing and interpreting numerical values within a specified range.
TableUtilsLibrary "TableUtils"
Collection of table utility functions
getTablePositionByLabel(tablePosition)
Return the position for the table by given label. Useful if you want to control the position of the table with a pine script input selector that use a more human friendly labels
Parameters:
tablePosition (string) : (string) Label of the table position. Possible values are: "Top left", "Top right", "Bottom left", "Bottom right", "Middle left", "Middle right"
Returns: the position for the table by given label. Useful if you want to control the position of the table with a pine script input selector that use a more human friendly labels
chrono_utilsLibrary "chrono_utils"
📝 Description
Collection of objects and common functions that are related to datetime windows session days and time ranges. The main purpose of this library is to handle time-related functionality and make it easy to reason about a future bar checking if it will be part of a predefined session and/or inside a datetime window. All existing session functionality I found in the documentation e.g. "not na(time(timeframe, session, timezone))" are not suitable for strategy scripts, since the execution of the orders is delayed by one bar, due to the script execution happening at the bar close. Moreover, a history operator with a negative value that looks forward is not allowed in any pinescript expression. So, a prediction for the next bar using the bars_back argument of "time()"" and "time_close()" was necessary. Thus, I created this library to overcome this small but very important limitation. In the meantime, I added useful functionality to handle session-based behavior. An interesting utility that emerged from this development is data anomaly detection where a comparison between the prediction and the actual value is happening. If those two values are different then a data inconsistency happens between the prediction bar and the actual bar (probably due to a holiday, half session day, a timezone change etc..)
🤔 How to Guide
To use the functionality this library provides in your script you have to import it first!
Copy the import statement of the latest release by pressing the copy button below and then paste it into your script. Give a short name to this library so you can refer to it later on. The import statement should look like this:
import jason5480/chrono_utils/2 as chr
To check if a future bar will be inside a window first of all you have to initialize a DateTimeWindow object.
A code example is the following:
var dateTimeWindow = chr.DateTimeWindow.new().init(fromDateTime = timestamp('01 Jan 2023 00:00'), toDateTime = timestamp('01 Jan 2024 00:00'))
Then you have to "ask" the dateTimeWindow if the future bar defined by an offset (default is 1 that corresponds th the next bar), will be inside that window:
// Filter bars outside of the datetime window
bool dateFilterApproval = dateTimeWindow.is_bar_included()
You can visualize the result by drawing the background of the bars that are outside the given window:
bgcolor(color = dateFilterApproval ? na : color.new(color.fuchsia, 90), offset = 1, title = 'Datetime Window Filter')
In the same way, you can "ask" the Session if the future bar defined by an offset it will be inside that session.
First of all, you should initialize a Session object.
A code example is the following:
var sess = chr.Session.new().from_sess_string(sess = '0800-1700:23456', refTimezone = 'UTC')
Then check if the given bar defined by the offset (default is 1 that corresponds th the next bar), will be inside the session like that:
// Filter bars outside the sessions
bool sessionFilterApproval = view.sess.is_bar_included()
You can visualize the result by drawing the background of the bars that are outside the given session:
bgcolor(color = sessionFilterApproval ? na : color.new(color.red, 90), offset = 1, title = 'Session Filter')
In case you want to visualize multiple session ranges you can create a SessionView object like that:
var view = SessionView.new().init(SessionDays.new().from_sess_string('2345'), array.from(SessionTimeRange.new().from_sess_string('0800-1600'), SessionTimeRange.new().from_sess_string('1300-2200')), array.from('London', 'New York'), array.from(color.blue, color.orange))
and then call the draw method of the SessionView object like that:
view.draw()
🏋️♂️ Please refer to the "EXAMPLE DATETIME WINDOW FILTER" and "EXAMPLE SESSION FILTER" regions of the script for more advanced code examples of how to utilize the full potential of this library, including user input settings and advanced visualization!
⚠️ Caveats
As I mentioned in the description there are some cases that the prediction of the next bar is not accurate. A wrong prediction will affect the outcome of the filtering. The main reasons this could happen are the following:
Public holidays when the market is closed
Half trading days usually before public holidays
Change in the daylight saving time (DST)
A data anomaly of the chart, where there are missing and/or inconsistent data.
A bug in this library (Please report by PM sending the symbol, timeframe, and settings)
Special thanks to @robbatt and @skinra for the constructive feedback 🏆. Without them, the exposed API of this library would be very lengthy and complicated to use. Thanks to them, now the user of this library will be able to get the most, with only a few lines of code!
TouchedLibrary "Touched"
Breakout(zone, lookback)
Tells if the zone has been broken on the current bar.
Parameters:
zone (Zone) : The definitiin of the zone.
lookback (int) : How many bars to look back.
Returns: a Touch object that tells if the zone has been broken up or down.
FalseBreakout(zone, lookback)
Tells if the zone has a false breakout on the current bar.
Parameters:
zone (Zone) : The definitiin of the zone.
lookback (int) : How many bars to look back.
Returns: a Touch object that tells if the zone has had a false breakout up or down.
Retest(zone, lookback)
Tells if the zone has been retested on the current bar.
Parameters:
zone (Zone) : The definitiin of the zone.
lookback (int) : How many bars to look back.
Returns: a Touch object that tells if the zone has been retested up or down.
Zone
Fields:
High (series__float)
Low (series__float)
BaseTime (series__integer)
Touch
Fields:
Up (series__bool)
Down (series__bool)
StrategyDashboardLibrary ”StrategyDashboard”
Hey, everybody!
I haven’t done anything here for a long time, I need to get better ^^.
In my strategies, so far private, but not about that, I constantly use dashboards, which clearly show how my strategy is working out.
Of course, you can also find a number of these parameters in the standard strategy window, but I prefer to display everything on the screen, rather than digging through a bunch of boxes and dropdowns.
At the moment I am using 2 dashboards, which I would like to share with you.
1. monthly(isShow)
this is a dashboard with the breakdown of profit by month in per cent. That is, it displays how much percentage you made or lost in a particular month, as well as for the year as a whole.
Parameters:
isShow (bool) - determine allowance to display or not.
2. total(isShow)
The second dashboard displays more of the standard strategy information, but in a table format. Information from the series “number of consecutive losers, number of consecutive wins, amount of earnings per day, etc.”.
Parameters:
isShow (bool) - determine allowance to display or not.
Since I prefer the dark theme of the interface, now they are adapted to it, but in the near future for general convenience I will add the ability to adapt to light.
The same goes for the colour scheme, now it is adapted to the one I use in my strategies (because the library with more is made by cutting these dashboards from my strategies), but will also make customisable part.
If you have any wishes, feel free to write in the comments, maybe I can implement and add them in the next versions.
Statistics TableStrategy Statistics
This library will add a table with statistics from your strategy. With this library, you won't have to switch to your strategy tester tab to view your results and positions.
Usage:
You can choose whether to set the table by input fields by adding the below code to your strategy or replace the parameters with the ones you would like to use manually.
// Statistics table options.
statistics_table_enabled = input.string(title='Show a table with statistics', defval='YES', options= , group='STATISTICS')
statistics_table_position = input.string(title='Position', defval='RIGHT', options= , group='STATISTICS')
statistics_table_margin = input.int(title='Table Margin', defval=10, minval=0, maxval=100, step=1, group='STATISTICS')
statistics_table_transparency = input.int(title='Cell Transparency', defval=20, minval=1, maxval=100, step=1, group='STATISTICS')
statistics_table_text_color = input.color(title='Text Color', defval=color.new(color.white, 0), group='STATISTICS')
statistics_table_title_cell_color = input.color(title='Title Cell Color', defval=color.new(color.gray, 80), group='STATISTICS')
statistics_table_cell_color = input.color(title='Cell Color', defval=color.new(color.purple, 0), group='STATISTICS')
// Statistics table init.
statistics.table(strategy.initial_capital, close, statistics_table_enabled, statistics_table_position, statistics_table_margin, statistics_table_transparency, statistics_table_text_color, statistics_table_title_cell_color, statistics_table_cell_color)
Sample:
If you are interested in the strategy used for this statistics table, you can browse the strategies on my profile.
TableLibrary "Table"
This library provides an easy way to convert arrays and matrixes of data into tables. There are a few different implementations of each function so you can get more or less control over the appearance of the tables. The basic rule of thumb is that all matrix rows must have the same number of columns, and if you are providing multiple arrays/matrixes to specify additional colors (background/text), they must have the same number of rows/columns as the data array. Finally, you do have the option of spanning cells across rows or columns with some special syntax in the data cell. Look at the examples to see how the arrays and matrixes need to be built before they can be used by the functions.
floatArrayToCellArray(floatArray)
Helper function that converts a float array to a Cell array so it can be rendered with the fromArray function
Parameters:
floatArray (float ) : (array) the float array to convert to a Cell array.
Returns: array The Cell array to return.
stringArrayToCellArray(stringArray)
Helper function that converts a string array to a Cell array so it can be rendered with the fromArray function
Parameters:
stringArray (string ) : (array) the array to convert to a Cell array.
Returns: array The Cell array to return.
floatMatrixToCellMatrix(floatMatrix)
Helper function that converts a float matrix to a Cell matrix so it can be rendered with the fromMatrix function
Parameters:
floatMatrix (matrix) : (matrix) the float matrix to convert to a string matrix.
Returns: matrix The Cell matrix to render.
stringMatrixToCellMatrix(stringMatrix)
Helper function that converts a string matrix to a Cell matrix so it can be rendered with the fromMatrix function
Parameters:
stringMatrix (matrix) : (matrix) the string matrix to convert to a Cell matrix.
Returns: matrix The Cell matrix to return.
fromMatrix(CellMatrix, position, verticalOffset, transposeTable, textSize, borderWidth, tableNumRows, blankCellText)
Takes a CellMatrix and renders it as a table.
Parameters:
CellMatrix (matrix) : (matrix) The Cells to be rendered in a table
position (string) : (string) Optional. The position of the table. Defaults to position.top_right
verticalOffset (int) : (int) Optional. The vertical offset of the table from the top or bottom of the chart. Defaults to 0.
transposeTable (bool) : (bool) Optional. Will transpose all of the data in the matrices before rendering. Defaults to false.
textSize (string) : (string) Optional. The size of text to render in the table. Defaults to size.small.
borderWidth (int) : (int) Optional. The width of the border between table cells. Defaults to 2.
tableNumRows (int) : (int) Optional. The number of rows in the table. Not required, defaults to the number of rows in the provided matrix. If your matrix will have a variable number of rows, you must provide the max number of rows or the function will error when it attempts to set a cell value on a row that the table hadn't accounted for when it was defined.
blankCellText (string) : (string) Optional. Text to use cells when adding blank rows for vertical offsetting.
fromMatrix(dataMatrix, position, verticalOffset, transposeTable, textSize, borderWidth, tableNumRows, blankCellText)
Renders a float matrix as a table.
Parameters:
dataMatrix (matrix) : (matrix_float) The data to be rendered in a table
position (string) : (string) Optional. The position of the table. Defaults to position.top_right
verticalOffset (int) : (int) Optional. The vertical offset of the table from the top or bottom of the chart. Defaults to 0.
transposeTable (bool) : (bool) Optional. Will transpose all of the data in the matrices before rendering. Defaults to false.
textSize (string) : (string) Optional. The size of text to render in the table. Defaults to size.small.
borderWidth (int) : (int) Optional. The width of the border between table cells. Defaults to 2.
tableNumRows (int) : (int) Optional. The number of rows in the table. Not required, defaults to the number of rows in the provided matrix. If your matrix will have a variable number of rows, you must provide the max number of rows or the function will error when it attempts to set a cell value on a row that the table hadn't accounted for when it was defined.
blankCellText (string) : (string) Optional. Text to use cells when adding blank rows for vertical offsetting.
fromMatrix(dataMatrix, position, verticalOffset, transposeTable, textSize, borderWidth, tableNumRows, blankCellText)
Renders a string matrix as a table.
Parameters:
dataMatrix (matrix) : (matrix_string) The data to be rendered in a table
position (string) : (string) Optional. The position of the table. Defaults to position.top_right
verticalOffset (int) : (int) Optional. The vertical offset of the table from the top or bottom of the chart. Defaults to 0.
transposeTable (bool) : (bool) Optional. Will transpose all of the data in the matrices before rendering. Defaults to false.
textSize (string) : (string) Optional. The size of text to render in the table. Defaults to size.small.
borderWidth (int) : (int) Optional. The width of the border between table cells. Defaults to 2.
tableNumRows (int) : (int) Optional. The number of rows in the table. Not required, defaults to the number of rows in the provided matrix. If your matrix will have a variable number of rows, you must provide the max number of rows or the function will error when it attempts to set a cell value on a row that the table hadn't accounted for when it was defined.
blankCellText (string) : (string) Optional. Text to use cells when adding blank rows for vertical offsetting.
fromArray(dataArray, position, verticalOffset, transposeTable, textSize, borderWidth, blankCellText)
Renders a Cell array as a table.
Parameters:
dataArray (Cell ) : (array) The data to be rendered in a table
position (string) : (string) Optional. The position of the table. Defaults to position.top_right
verticalOffset (int) : (int) Optional. The vertical offset of the table from the top or bottom of the chart. Defaults to 0.
transposeTable (bool) : (bool) Optional. Will transpose all of the data in the matrices before rendering. Defaults to false.
textSize (string) : (string) Optional. The size of text to render in the table. Defaults to size.small.
borderWidth (int) : (int) Optional. The width of the border between table cells. Defaults to 2.
blankCellText (string) : (string) Optional. Text to use cells when adding blank rows for vertical offsetting.
fromArray(dataArray, position, verticalOffset, transposeTable, textSize, borderWidth, blankCellText)
Renders a string array as a table.
Parameters:
dataArray (string ) : (array_string) The data to be rendered in a table
position (string) : (string) Optional. The position of the table. Defaults to position.top_right
verticalOffset (int) : (int) Optional. The vertical offset of the table from the top or bottom of the chart. Defaults to 0.
transposeTable (bool) : (bool) Optional. Will transpose all of the data in the matrices before rendering. Defaults to false.
textSize (string) : (string) Optional. The size of text to render in the table. Defaults to size.small.
borderWidth (int) : (int) Optional. The width of the border between table cells. Defaults to 2.
blankCellText (string) : (string) Optional. Text to use cells when adding blank rows for vertical offsetting.
fromArray(dataArray, position, verticalOffset, transposeTable, textSize, borderWidth, blankCellText)
Renders a float array as a table.
Parameters:
dataArray (float ) : (array_float) The data to be rendered in a table
position (string) : (string) Optional. The position of the table. Defaults to position.top_right
verticalOffset (int) : (int) Optional. The vertical offset of the table from the top or bottom of the chart. Defaults to 0.
transposeTable (bool) : (bool) Optional. Will transpose all of the data in the matrices before rendering. Defaults to false.
textSize (string) : (string) Optional. The size of text to render in the table. Defaults to size.small.
borderWidth (int) : (int) Optional. The width of the border between table cells. Defaults to 2.
blankCellText (string) : (string) Optional. Text to use cells when adding blank rows for vertical offsetting.
debug(message, position)
Renders a debug message in a table at the desired location on screen.
Parameters:
message (string) : (string) The message to render.
position (string) : (string) Optional. The position of the debug message. Defaults to position.middle_right.
Cell
Type for each cell's content and appearance
Fields:
content (series string)
bgColor (series color)
textColor (series color)
align (series string)
colspan (series int)
rowspan (series int)
Polyline PlusThis library introduces the `PolylinePlus` type, which is an enhanced version of the built-in PineScript `polyline`. It enables two features that are absent from the built-in type:
1. Developers can now efficiently add or remove points from the polyline. In contrast, the built-in `polyline` type is immutable, requiring developers to create a new instance of the polyline to make changes, which is cumbersome and incurs a significant performance penalty.
2. Each `PolylinePlus` instance can theoretically hold up to ~1M points, surpassing the built-in `polyline` type's limit of 10K points, as long as it does not exceed the memory limit of the PineScript runtime.
Internally, each `PolylinePlus` instance utilizes an array of `line`s and an array of `polyline`s. The `line`s array serves as a buffer to store lines formed by recently added points. When the buffer reaches its capacity, it flushes the contents and converts the lines into polylines. These polylines are expected to undergo fewer updates. This approach is similiar to the concept of "Buffered I/O" in file and network systems. By connecting the underlying lines and polylines, this library achieves an enhanced polyline that is dynamic, efficient, and capable of surpassing the maximum number of points imposed by the built-in polyline.
🔵 API
Step 1: Import this library
import algotraderdev/polylineplus/1 as pp
// remember to check the latest version of this library and replace the 1 above.
Step 2: Initialize the `PolylinePlus` type.
var p = pp.PolylinePlus.new()
There are a few optional params that developers can specify in the constructor to modify the behavior and appearance of the polyline instance.
var p = pp.PolylinePlus.new(
// If true, the drawing will also connect the first point to the last point, resulting in a closed polyline.
closed = false,
// Determines the field of the chart.point objects that the polyline will use for its x coordinates. Either xloc.bar_index (default), or xloc.bar_time.
xloc = xloc.bar_index,
// Color of the polyline. Default is blue.
line_color = color.blue,
// Style of the polyline. Default is line.style_solid.
line_style = line.style_solid,
// Width of the polyline. Default is 1.
line_width = 1,
// The maximum number of points that each built-in `polyline` instance can contain.
// NOTE: this is not to be confused with the maximum of points that each `PolylinePlus` instance can contain.
max_points_per_builtin_polyline = 10000,
// The number of lines to keep in the buffer. If more points are to be added while the buffer is full, then all the lines in the buffer will be flushed into the poylines.
// The higher the number, the less frequent we'll need to // flush the buffer, and thus lead to better performance.
// NOTE: the maximum total number of lines per chart allowed by PineScript is 500. But given there might be other places where the indicator or strategy are drawing lines outside this polyline context, the default value is 50 to be safe.
lines_bffer_size = 50)
Step 3: Push / Pop Points
// Push a single point
p.push_point(chart.point.now())
// Push multiple points
chart.point points = array.from(p1, p2, p3) // Where p1, p2, p3 are all chart.point type.
p.push_points(points)
// Pop point
p.pop_point()
// Resets all the points in the polyline.
p.set_points(points)
// Deletes the polyline.
p.delete()
🔵 Benchmark
Below is a simple benchmark comparing the performance between `PolylinePlus` and the native `polyline` type for incrementally adding 10K points to a polyline.
import algotraderdev/polylineplus/2 as pp
var t1 = 0
var t2 = 0
if bar_index < 10000
int start = timenow
var p = pp.PolylinePlus.new(xloc = xloc.bar_time, closed = true)
p.push_point(chart.point.now())
t1 += timenow - start
start := timenow
var polyline pl = na
var points = array.new()
points.push(chart.point.now())
if not na(pl)
pl.delete()
pl := polyline.new(points)
t2 += timenow - start
if barstate.islast
log.info('{0} {1}', t1, t2)
For this benchmark, `PolylinePlus` took ~300ms, whereas the native `polyline` type took ~6000ms.
We can also fine-tune the parameters for `PolylinePlus` to have a larger buffer size for `line`s and a smaller buffer for `polyline`s.
var p = pp.PolylinePlus.new(xloc = xloc.bar_time, closed = true, lines_buffer_size = 500, max_points_per_builtin_polyline = 1000)
With the above optimization, it only took `PolylinePlus` ~80ms to process the same 10K points, which is ~75x the performance compared to the native `polyline`.
lib_plot_composite_objectsLibrary "lib_plot_composite_objects"
library building on top of lib_plot_objects for composite objects such as Triangles and Polygons. heavily using chart.points
method tostring(this, date_format)
Namespace types: Triangle
Parameters:
this (Triangle)
date_format (simple string)
method tostring(this, date_format)
Namespace types: TriangleFill
Parameters:
this (TriangleFill)
date_format (simple string)
method tostring(this, date_format)
Namespace types: Polygon
Parameters:
this (Polygon)
date_format (simple string)
method tostring(this, date_format)
Namespace types: PolygonFill
Parameters:
this (PolygonFill)
date_format (simple string)
method tostring(this, date_format)
Namespace types: Triangle
Parameters:
this (Triangle )
date_format (simple string)
method tostring(this, date_format)
Namespace types: Polygon
Parameters:
this (Polygon )
date_format (simple string)
method tostring(this, date_format)
Namespace types: TriangleFill
Parameters:
this (TriangleFill )
date_format (simple string)
method tostring(this, date_format)
Namespace types: PolygonFill
Parameters:
this (PolygonFill )
date_format (simple string)
method create_triangle(this, b, c, args)
Namespace types: chart.point
Parameters:
this (chart.point)
b (chart.point)
c (chart.point)
args (LineArgs type from robbatt/lib_plot_objects/32)
method create_triangle(this, c)
Namespace types: D.Line
Parameters:
this (Line type from robbatt/lib_plot_objects/32)
c (chart.point)
method create_polygon(points, args)
Namespace types: chart.point
Parameters:
points (chart.point )
args (LineArgs type from robbatt/lib_plot_objects/32)
method create_polygon(start, others, args)
Namespace types: chart.point
Parameters:
start (chart.point)
others (chart.point )
args (LineArgs type from robbatt/lib_plot_objects/32)
method create_fill(this, fill_color)
Namespace types: Triangle
Parameters:
this (Triangle)
fill_color (color)
method create_fill(this, fill_color)
Namespace types: Polygon
Parameters:
this (Polygon)
fill_color (color)
method create_center_label(this, txt, args, tooltip)
Namespace types: Triangle
Parameters:
this (Triangle)
txt (string)
args (LabelArgs type from robbatt/lib_plot_objects/32)
tooltip (string)
method create_label(this, txt, args, tooltip)
Namespace types: Polygon
Parameters:
this (Polygon)
txt (string)
args (LabelArgs type from robbatt/lib_plot_objects/32)
tooltip (string)
method nz(this, default)
Namespace types: Triangle
Parameters:
this (Triangle)
default (Triangle)
method nz(this, default)
Namespace types: TriangleFill
Parameters:
this (TriangleFill)
default (TriangleFill)
method nz(this, default)
Namespace types: Polygon
Parameters:
this (Polygon)
default (Polygon)
method nz(this, default)
Namespace types: PolygonFill
Parameters:
this (PolygonFill)
default (PolygonFill)
method enqueue(id, item, max)
Namespace types: Triangle
Parameters:
id (Triangle )
item (Triangle)
max (int)
method enqueue(id, item, max)
Namespace types: Polygon
Parameters:
id (Polygon )
item (Polygon)
max (int)
method enqueue(id, item, max)
Namespace types: TriangleFill
Parameters:
id (TriangleFill )
item (TriangleFill)
max (int)
method enqueue(id, item, max)
Namespace types: PolygonFill
Parameters:
id (PolygonFill )
item (PolygonFill)
max (int)
method update(this, a, b, c)
Namespace types: Triangle
Parameters:
this (Triangle)
a (chart.point)
b (chart.point)
c (chart.point)
method update(this, points)
Namespace types: Polygon
Parameters:
this (Polygon)
points (chart.point )
method delete(this)
Namespace types: Triangle
Parameters:
this (Triangle)
method delete(this)
Namespace types: TriangleFill
Parameters:
this (TriangleFill)
method delete(this)
Namespace types: Polygon
Parameters:
this (Polygon)
method delete(this)
Namespace types: PolygonFill
Parameters:
this (PolygonFill)
method delete(this)
Namespace types: Triangle
Parameters:
this (Triangle )
method delete(this)
Namespace types: TriangleFill
Parameters:
this (TriangleFill )
method delete(this)
Namespace types: Polygon
Parameters:
this (Polygon )
method delete(this)
Namespace types: PolygonFill
Parameters:
this (PolygonFill )
method draw(this, ab_args_override, ac_args_override, bc_args_override)
Namespace types: Triangle
Parameters:
this (Triangle)
ab_args_override (LineArgs type from robbatt/lib_plot_objects/32)
ac_args_override (LineArgs type from robbatt/lib_plot_objects/32)
bc_args_override (LineArgs type from robbatt/lib_plot_objects/32)
method draw(this)
Namespace types: Polygon
Parameters:
this (Polygon)
method draw(this)
Namespace types: TriangleFill
Parameters:
this (TriangleFill)
method draw(this)
Namespace types: PolygonFill
Parameters:
this (PolygonFill)
method draw(this)
Namespace types: Triangle
Parameters:
this (Triangle )
method draw(this)
Namespace types: TriangleFill
Parameters:
this (TriangleFill )
method draw(this)
Namespace types: Polygon
Parameters:
this (Polygon )
method draw(this)
Namespace types: PolygonFill
Parameters:
this (PolygonFill )
method apply_style(this, args)
Namespace types: Triangle
Parameters:
this (Triangle)
args (LineArgs type from robbatt/lib_plot_objects/32)
method apply_style(this, args)
Namespace types: Polygon
Parameters:
this (Polygon)
args (LineArgs type from robbatt/lib_plot_objects/32)
method apply_style(this, args)
Namespace types: Triangle
Parameters:
this (Triangle )
args (LineArgs type from robbatt/lib_plot_objects/32)
method apply_style(this, args)
Namespace types: Polygon
Parameters:
this (Polygon )
args (LineArgs type from robbatt/lib_plot_objects/32)
Triangle
Fields:
a (chart.point) : first Corner
b (chart.point) : second Corner
c (chart.point) : third Corner
args (LineArgs type from robbatt/lib_plot_objects/32) : Wrapper for reusable arguments for line.new()
ab (Line type from robbatt/lib_plot_objects/32)
ac (Line type from robbatt/lib_plot_objects/32)
bc (Line type from robbatt/lib_plot_objects/32)
TriangleFill
Fields:
triangle (Triangle) : The Triangle object
plot (LineFill type from robbatt/lib_plot_objects/32) : The linefill object to be added and plotted via draw()
Polygon
Fields:
points (chart.point ) : array of points that make up the Polygon
center (chart.point) : Center point of the Polygon, can be used for a label and will be center for PolygonFill
args (LineArgs type from robbatt/lib_plot_objects/32) : Wrapper for reusable arguments for line.new()
plot (Line type from robbatt/lib_plot_objects/32) : An array of Lines that form Polygon Border
PolygonFill
Fields:
poly (Polygon) : the Polygon
fill_color (series color) : The color used to fill the space between the lines.
plot (TriangleFill )
printerLibrary "printer"
Printer Library, designed to streamline the process of printing data directly onto charts while offering advanced features for enhanced functionality.
For full documentation, please visit faiyaz7283.github.io
Contrast Color LibraryThis lightweight library provides a utility method that analyzes any provided background color and automatically chooses the optimal black or white foreground color to ensure maximum visual contrast and readability.
🟠 Algorithm
The library utilizes the HSP Color Model to calculate the brightness of the background color. The formula for this calculation is as follows:
brightness = sqrt(0.299 * R^2 + 0.587 * G^2 + 0.114 * B^2 )
The library chooses black as the foreground color if the brightness exceeds the threshold (default 0.5), and white otherwise.
TradeLibrary "Trade"
A Trade Tracking Library
Monitor conditions with less code by using Arrays. When your conditions are met in chronologically, a signal is returned and the scanning starts again.
Create trades automatically with Stop Loss, Take Profit and Entry. The trades will automatically track based on the market movement and update when the targets are hit.
Sample Usage
Enter a buy trade when RSI crosses below 70 then crosses above 80 before it crosses 40.
Note: If RSI crosses 40 before 80, No trade will be entered.
rsi = ta.rsi(close, 21)
buyConditions = array.new_bool()
buyConditions.push(ta.crossunder(rsi, 70))
buyConditions.push(ta.crossover(rsi, 80))
buy = Trade.signal(buyConditions, ta.crossunder(rsi, 40))
trade = Trade.new(close-(100*syminfo.mintick), close +(200*syminfo.mintick), condition=buy)
plot(trade.takeprofit, "TP", style=plot.style_circles, linewidth=4, color=color.lime)
alertcondition(trade.tp_hit, "TP Hit")
method signal(conditions, reset)
Signal Conditions
Namespace types: bool
Parameters:
conditions (bool )
reset (bool)
Returns: Boolean: True when all the conditions have occured
method update(this, stoploss, takeprofit, entry)
Update Trade Parameters
Namespace types: Trade
Parameters:
this (Trade)
stoploss (float)
takeprofit (float)
entry (float)
Returns: nothing
method clear(this)
Clear Trade Parameters
Namespace types: Trade
Parameters:
this (Trade)
Returns: nothing
method track(this, _high, _low)
Track Trade Parameters
Namespace types: Trade
Parameters:
this (Trade)
_high (float)
_low (float)
Returns: nothing
new(stoploss, takeprofit, entry, _high, _low, condition, update)
New Trade with tracking
Parameters:
stoploss (float)
takeprofit (float)
entry (float)
_high (float)
_low (float)
condition (bool)
update (bool)
Returns: a Trade with targets and updates if stoploss or takeprofit is hit
new()
New Empty Trade
Returns: an empty trade
Trade
Fields:
stoploss (series__float)
takeprofit (series__float)
entry (series__float)
sl_hit (series__bool)
tp_hit (series__bool)
open (series__integer)
imlibLibrary "imlib"
Description
The library allows you to display images in your scripts utilising the objects. You can change the image size and screen aspect ratio (the ratio of width to height which you can change if the image is too wide / tall). The library has "example()" function which you can use to see how it works. It also has a handy "logo()" function which you can use to quickly display an image by passing the "Image data string", table position, image size and aspect ratio. And of course you can use it in your own custom way by taking the "logo()" function as an example and modifying the code to your needs.
Since tables in Pinescript are limited to 100 by 100 cells, the limit for image's size is also 100x100 px. All the necessary data to display an image is passed as a string variable, and since Pinescript has a limit of 4096 characters for variables of type, that string can have a maximum length of 4096 characters, which is enough to display a 64x64px image (but can be enough to display a 100x100 image, depending on the image itself).
Below you can find the definitions of functions for this library.
_decompress(data)
: Decompresses string with data image
Parameters:
data (string)
Returns: : Array of with decompressed data
load(data)
: Splits the string with image data into components and builds an object
Parameters:
data (string)
Returns: : An object
show(imgdata, table_id, image_size, screen_ratio)
: Displays an image in a table
Parameters:
imgdata (ImgData)
table_id (table)
image_size (float)
screen_ratio (string)
Returns: : nothing
example()
: Use it as an example of how this library works and how to use it in your own scripts
Returns: : nothing
logo(imgdata, position, image_size, screen_ratio)
: Displays logo using image data string
Parameters:
imgdata (string)
position (string)
image_size (float)
screen_ratio (string)
Returns: : nothing
ImgData
Fields:
w (series__integer)
h (series__integer)
s (series__string)
pal (series__string)
data (array__string)
gFancyMALibrary "gFancyMA"
printLbl(y, x, c, m, b, s)
Parameters:
y (float)
x (int)
c (color)
m (string)
b (bool)
s (string)
