Market Structure Report Library [TradingFinder]🔵 Introduction
Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition.
Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) :
BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend.
CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal.
Since price movement is inherently fractal, market structure can be analyzed on two distinct levels :
Major / External Structure: represents the dominant macro trend.
Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend.
🔵 Library Purpose
The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time.
Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market.
It provides the following information :
Trend Type :
External Trend (Major): Up Trend, Down Trend, No Trend
Internal Trend (Minor): Up Trend, Down Trend, No Trend
Structure Type :
BoS : Confirms trend continuation
CHoCH : Indicates a potential trend reversal
Consecutive BoS Counter : Measures trend strength on both Major and Minor levels.
Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji)
This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies.
It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each.
🔵 Function Outputs
The function MS() processes the price data and returns seven key outputs,
each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners.
🟣 ExternalTrend
Type : string
Description : Represents the direction of the Major (External) market structure.
Possible values :
Up Trend
Down Trend
No Trend
This is determined based on the behavior of Major Pivots (swing highs/lows).
🟣 InternalTrend
Type : string
Description : Represents the direction of the Minor (Internal) market structure.
Possible values :
Up Trend
Down Trend
No Trend
🟣 M_State
Type : string
Description : Specifies the type of the latest Major Structure event.
Possible values :
BoS
CHoCH
🟣 m_State
Type : string
Description : Specifies the type of the latest Minor Structure event.
Possible values :
BoS
CHoCH
🟣 MBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks (BoS) in the Major structure.
Useful for evaluating trend strength :
Increasing count: indicates trend continuation.
Reset to zero: typically occurs after a CHoCH.
🟣 mBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks in the Minor structure.
Helps analyze the micro structure of the market on lower timeframes.
Higher value : strong internal trend.
Reset : indicates a minor pullback or reversal.
🟣 Candle_Type
Type : string
Description : Represents the type of the current candle.
Possible values :
Bullish
Bearish
Doji
import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS
PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' )
= MSS.MS(PP)
Ictconcepts
Order Block Drawing [TradingFinder]🔵 Introduction
Perhaps one of the most challenging tasks for Pine script developers (especially beginners) is properly drawing order blocks. While utilizing the latest technical analysis methods for "Price Action," beginners heavily rely on accurately plotting "Supply" and "Demand" zones, following concepts like "Smart Money Concept" and "ICT".
However, drawing "Order Blocks" may pose a challenge for developers. Therefore, to minimize bugs, increase accuracy, and speed up the process of coding order blocks, we have released the "Order Block Drawing" library.
Below, you can read more details about how to use this library.
Important :
This library has direct and indirect outputs. The indirect output includes the ranges of order blocks plotted on the chart. However, the direct output is a "Boolean" value that becomes "true" only when the price touches an order block, colloquially termed as "Mitigate." You can use this output for setting up alerts.
🔵 How to Use
First, you can add the library to your code as shown in the example below.
import TFlab/OrderBlockDrawing_TradingFinder/1
🟣Parameters
OBDrawing(OBType, TriggerCondition, DistalPrice, ProximalPrice, Index, OBValidDis, Show, ColorZone) =>
Parameters:
• OBType (string)
• TriggerCondition (bool)
• DistalPrice (float)
• ProximalPrice (float)
• Index (int)
• OBValidDis (int)
• Show (bool)
• ColorZone (color)
OBType : All order blocks are summarized into two types: "Supply" and "Demand." You should input your order block type in this parameter. Enter "Demand" for drawing demand zones and "Supply" for drawing supply zones.
TriggerCondition : Input the condition under which you want the order block to be drawn in this parameter.
DistalPrice : Generally, if each zone is formed by two lines, the farthest line from the price is termed "Distal." This input receives the price of the "Distal" line.
ProximalPrice : Generally, if each zone is formed by two lines, the nearest line to the price is termed "Proximal" line.
Index : This input receives the value of the "bar_index" at the beginning of the order block. You should store the "bar_index" value at the occurrence of the condition for the order block to be drawn and input it here.
OBValidDis : Order blocks continue to be drawn until a new order block is drawn or the order block is "Mitigate." You can specify how many candles after their initiation order blocks should continue. If you want no limitation, enter the number 4998.
Show : You may need to manage whether to display or hide order blocks. When this input is "On", order blocks are displayed, and when it's "Off", order blocks are not displayed.
ColorZone : You can input your preferred color for drawing order blocks.
🔵 Function Outputs
This function has only one output. This output is of type "Boolean" and becomes "true" only when the price touches an order block. Each order block can be touched only once and then loses its validity. You can use this output for alerts.
= Drawing.OBDrawing('Demand', Condition, Distal, Proximal, Index, 4998, true, Color)
Liquidity Finder Library🔵 Introduction
You may intend to utilize the "Liquidity" detection capability in your indicators. Instead of writing it, you can import the "Liquidity Finder" library into your code. One of the advantages of this approach is time-saving and reduction in scripting errors.
🔵 Key Features
Identification of "Statics Liquidity"
Identification of "Dynamics Liquidity"
🔵 How to Use
Firstly, you can add the library to your code as shown in the example below :
import TFlab/LiquidityFinderLibrary/1 as Liq
The parameters of the "LLF" function are as follows :
sPP : A float variable ranging from 0 to 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of detected lines. The default value is 0.3.
dPP : A float variable ranging from 0.4 to 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of detected lines. The default value is 1.
SRs : An int variable. By default, it's set to 8. You can change this number to specify the periodicity of static liquidity pivot lines.
SRd : An int variable. By default, it's set to 3. You can change this number to specify the periodicity of dynamic liquidity pivot lines.
ShowHLLs : A bool variable. You can enable or disable the display of "High Statics Liquidity Line".
ShowLLLs : A bool variable. You can enable or disable the display of "Low Statics Liquidity Line".
ShowHLLd : A bool variable. You can enable or disable the display of "High Dynamics Liquidity Line".
ShowLLd : A bool variable. You can enable or disable the display of "High Dynamics Liquidity Line".
🟣Recommendation
You can use the following code snippet to import Liquidity Finder into your code for time-saving.
//import Library
import TFlab/LiquidityFinderLibrary/1 as Liq
//input
SLLS = input.float(0.30 , 'Statics Liquidity Line Sensitivity', maxval = 0.4 ,minval = 0.0, step = 0.01) // Statics Liquidity Line Sensitivity
DLLS = input.float(1.00 , 'Dynamics Liquidity Line Sensitivity', maxval = 1.95 ,minval = 0.4, step = 0.01) // Dynamics Liquidity Line Sensitivity
SPP = input.int(8 , 'Statics Period Pivot') // Statics Period Pivot
DPP = input.int(3 , 'Dynamics Period Pivot') // Dynamics Period Pivot
ShowSHLL = input.bool(true , 'Show Statics High Liquidity Line')
ShowSLLL = input.bool(true , 'Show Statics Low Liquidity Line')
ShowDHLL = input.bool(true , 'Show Dynamics High Liquidity Line')
ShowDLLL = input.bool(true , 'Show Dynamics Low Liquidity Line')
//call function
Liq.LLF(SPP,DPP,SLLS,DLLS,ShowSHLL,ShowSLLL,ShowDHLL,ShowDLLL)
