M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
Cerca negli script per "liquidity"
Quantum Liquidity Fractal Dynamics (QLFD) v2.1The Quantum Liquidity Fractal Dynamics (QLFD) v2.1 is an advanced multi-dimensional market analysis too l engineered for professional traders seeking to identify high-probability liquidity-driven reversals. Built upon a proprietary Fractal-Liquidity Convergence Model (FLCM), QLFD v2.1 leverages quantum-phase liquidity oscillations and institutional absorption mapping to dynamically assess order flow efficiency within multi-timeframe market structures.
Core Algorithmic Methodology
QLFD v2.1 integrates a Hybridized Recursive Liquidity Matrix (HRLM) with High-Frequency Adaptive EMA Displacement (HFAED) to model non-linear liquidity density clusters. This proprietary framework is further reinforced by a Multi-Layered RSI Vorticity Filter (MLRVF), enhancing the signal integrity by filtering out stochastic noise anomalies.
The EMA-200 Rejection Dynamics, combined with the Vortex RSI Momentum Refraction Index (VRMRI), allow the system to isolate institutional footprint imbalances. By capturing transient liquidity voids and microstructure inefficiencies, QLFD v2.1 enables traders to position themselves ahead of high-probability liquidity sweeps.
Signal Efficiency & Institutional Calibration
While QLFD v2.1 exhibits an exceptionally high accuracy rate in identifying potential reversal vectors, it is imperative for traders to exercise institutional-grade signal filtration. The indicator autonomously detects Phase-Induced False Signal Clusters (PIFSCs), yet discretion remains paramount in avoiding transient liquidity mirages—a common occurrence in markets exhibiting hyper-fractalized liquidity dislocations.
For optimal performance, professional traders must apply a Multi-Stage Confirmation Protocol (MSCP), leveraging additional confluence layers such as:
Order Flow Delta Cohesion (OFDC)
Gamma-Weighted Imbalance Deviation (GWID)
Synthetic Volume Shockwave Ratio (SVSR)
These advanced methodologies ensure that traders engage only with high-probability fractal reversals, filtering out structurally unreliable signals induced by inter-market arbitrage distortions.
Final Thoughts
QLFD v2.1 is not designed for retail-grade signal chasing. It is an institutional-grade analytical framework tailored for professionals who understand the fractal complexity of modern liquidity landscapes. Mastering the art of discretionary filtration—by distinguishing true liquidity-driven reversals from algorithmically-induced decoy impulses—is the key to leveraging this system’s full potential.
ICTProTools | ICT Insight - Market Environment🚀 INTRODUCTION
The Market Environment Indicator provides traders with an essential contextual framework for analyzing price movements. Built on the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC), this tool offers a structured view of how institutional players drive markets through liquidity manipulation and price level interactions. By defining the market environment, the indicator helps traders focus on the most relevant price zones, reducing distractions and enhancing decision-making.
At its core, the Interbank Dealing Range (IBDR) creates a clear structure of protected highs/lows and Premium/Discount zones , highlighting key areas for potential price reactions. This framework gives traders a lens to interpret market behavior and concentrate on meaningful liquidity zones and price action. The indicator helps traders navigate the market with precision, spotting significant opportunities while filtering out market noise. Indeed, the IBDR isn't always easily identifiable, and not every move will form a distinct dealing range.
This indicator goes beyond mere price levels… It reveals the larger market context in which prices evolve. By mastering this environment, traders can align their strategies with institutional logic and make well-informed decisions.
💎 FEATURES
The Interbank Dealing Range (IBDR) is a crucial concept within the ICT methodology that helps traders identify the market environment across multiple timeframes, specifically the premium and discount zones. The IBDR delineates areas where traders have the potential to buy low and sell high.
Its extremes are defined by the sweep of both buy-side and sell-side liquidity . These levels indicate the boundaries within which price is expected to evolve . Understanding these boundaries allows traders to determine where it is appropriate to enter or exit trades.
The primary goal of utilizing the IBDR is to capitalize on price movements by buying at discounted levels and selling at premium levels. This strategy aligns with the fundamental principle of trading: to buy at lower prices and sell at higher prices, maximizing profit potential.
By visualizing the IBDR on your charts, you can gain valuable insights into the prevailing market conditions and make informed trading decisions that align with the institutional approach to buying and selling.
This chart illustrates the Interbank Dealing Range (IBDR) applied to the US100 index, displaying two from different timeframes: a 1-hour (1h) IBDR on the left and a 30-minute (30m) IBDR on the right. This multi-timeframe view provides essential context for price action analysis.
The 1h IBDR could here function as the primary reference range, establishing key boundaries (High and Low) for price movement. Within this range, the Equilibrium (midpoint) separates the Premium zone (above) from the Discount zone (below). The 0.25 and 0.75 levels add further precision by subdividing these zones.
Price action then flows between these zones, creating and targeting liquidity at higher and lower levels through Relative Equal Highs and Lows. A strong upward movement into the deeper level of the Premium Zone captures high-side liquidity (with a notable reaction at the FVG on the left), forming a secondary 30m IBDR. After this liquidity sweep, the remaining liquidity is on the low side. Price then reverses downward toward it. Here, the 30m IBDR would suggest a confirmation for a potential sell entry by targeting the IBDR lows.
The relationship between the broader 1h IBDR, the more detailed 30m IBDR, and all related levels creates a powerful analytical framework. The larger timeframe provides context, while the smaller one reveals specific trading opportunities by providing entry confirmations.
✨ SETTINGS
IBDR Metrics: Adjust the timeframe and sensitivity for calculating the IBDR so traders can adapt the indicator to both short-term intraday movements and longer-term trends.
Premium/Discount Zones: Customize the levels such as 0, 0.5, 1, and other levels like 0.25 and 0.75 by default and their displayed colors and associated labels.
Alerts: Configure the alerts for Premium/Discount zones, High/Low breaks, and new IBDR, ensuring traders are kept up to date on key market events.
🎯 CONCLUSION
The Market Environment indicator serves as a powerful tool for analyzing and navigating market structure through liquidity zones. It helps identify optimal buy and sell areas while aligning with the institutional logic of major market players. While its features provide a valuable edge, it’s essential to remember that none should be used on its own, and many more factors go into being a profitable trader.
SMC Order Block & Liquidity EntryThe SMC Order Block and Liquidity Trap Entry Strategy script uses Smart Money Concepts (SMC), which analyze institutional actions in the market, to assist traders in identifying high-probability trades. In order to help traders match their entry with institutional activity, this script highlights important regions of interest, including order blocks, liquidity zones, and indications for Break of Structure (BOS) or Change of Character (CHoCH).
The fundamental ideas of this approach, which focuses on regions where institutions frequently make sizable orders or sweep liquidity, are based on SMC principles. Order blocks, which are frequently important support or resistance zones when institutions are involved, are the final bullish or bearish candle before a significant price move in the other direction. There are liquidity zones that show where retail stop-loss orders build up (above recent highs or below recent lows), such as Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL). Before changing the direction of the price, institutions could target these zones, giving traders possible chances.
The script depicts liquidity levels above or below recent highs and lows, automatically finds order blocks within a specified lookback time, and looks for BOS (a continuation signal) or CHoCH (a reversal signal). When liquidity retests inside an order block coincide with BOS or CHoCH circumstances, entry signals are produced. While short entries are triggered when the price breaks below the order block and SSL, long entry alerts are triggered when the price breaks above the order block and BSL.
Risk Matrix [QuantraSystems]Risk Matrix
The Risk Matrix is a sophisticated tool that aggregates a variety of fundamental inputs, primarily external (non-crypto) market data is used to assess investor risk appetite. By combining external macroeconomic factors and proxies for liquidity data with specific signals from the cryptomarket - the Risk Matrix provides a holistic view of market risk conditions. These insights are designed to help traders and investors make informed decisions on when to adopt a risk-on or risk-off approach.
Core Concept
The Risk Matrix functions as a dynamic risk assessment tool that integrates both fundamental and technical market indicators to generate an aggregated Z-score. This score helps traders to identify where the market is in a risk-off or risk-on state, The system provides both binary risk signals and a more nuanced “risk seasonality” mode for deeper analysis.
Key Features
Global Liquidity Aggregate - The Liquidity score is a custom measure of global liquidity, built by combining a variety of traditional financial metrics. These include data from central bank balance sheets, reverse repo operations and credit availability. This data is sourced from organizations such as the U.S. Federal Reserve, the European Central Bank, and the People’s Bank of China. The purpose of this aggregate is to gauge how much liquidity is available in the global financial system - which often correlates with risk sentiment. Rising liquidity tends to boost risk-on appetite, while liquidity contractions signal increased caution (risk-off) in the markets. The data sources used in this global liquidity aggregate include:
- U.S. Commercial Bank Credit data
- Federal Reserve balance sheet and reverse repo operations
- Liquidity from major central banks including the Fed, Bank of Japan, ECB, and PBoC
- Asset performance from major global financial indices such as the S&P 500, TLT, DXY (U.S. Dollar Index), MOVE (bond market volatility), and commodities like gold and oil.
Other key Z-scores (measured individually) - The Risk Matrix also incorporates other major Z-scores that represent different facets of the financial markets:
- Collateral Risk - A measure of US bond volatility, where higher values indicate higher interest rate risk - leading to potential market instability and cautious market behaviors.
- Stablecoin Dominance - The dominance of stablecoins in the crypto markets - which can signal risk aversion the total capital allocated to stables increases relative to other cryptocurrencies.
- US Currency Strength - The U.S. Dollar Index Z-score reflects currency market strength, with higher values typically indicating risk aversion as investors sell more volatile assets and flock to the dollar.
- Trans-pacific Monetary Bias - Signals capital flow and monetary trends that link between the East and West, heavily influencing global risk sentiment.
- Total - A measure of the total cryptocurrency market cap, signaling broader risk sentiment with the crypto market.
Neural Network Synthesis - The NNSYNTH component adds a machine learning inspired layer to the Risk Matrix. This custom indicator synthesizes inputs from various technical indicators (such as RSI, MACD, Bollinger Bands, and others) to generate a composite signal that reflects the health of the cryptomarket. While highly complex in its design, the NNSYNTH ultimately helps detect market shifts early by synthesizing multiple signals into one cohesive output. This score is particularly useful for gauging momentum and identifying potential turning points in market trends. Because the NNSYNTH is a closed source indicator, and it is included here, the Risk Matrix by extension is a closed source indicator.
How it Works
Z-score Aggregation - The Risk Matrix computes a final risk score by aggregating several Z-scores from different asset classes and data sources, all of which contribute proportionally to the overall market risk assessment. Each input is equally weighted - normalization allows for direct comparisons across global liquidity trends, currency fluctuations, bond market volatility and crypto market conditions. Furthermore, this system employs multi-calibration aggregation - where each individual matrix is itself an aggregate of multiple Z-scores derived from various timeframes. This ensures that each matrix captures a distinct average across different time horizons before being combined into the overall Risk Matrix. This layered, multi timeframe approach enhances the precision and robustness of the final Z-score.
Risk-On / Risk-Off Mode - The system’s binary mode provides a clear Risk On and Off signal. This nature of this signal is determined by the behavior of the Z-score relative to the midline, or Standard Deviation Bands, depending on specific conditions:
Risk-On is signaled when the aggregated final Z-score crosses above 0. However, in extreme oversold conditions, Risk-On can trigger early if the upper standard deviation band falls below the zero line. In such cases, the Risk-On signal is triggered when the z-score crosses the upper standard deviation band - without waiting to cross the midline.
Risk-Off is signaled when the final Z-score moves below 0. Similarly, Risk-Off can also be triggered early if the lower standard deviation band rises above the midline. In this instance, Risk-Off is triggered when the Z-score crosses below the lower band.
Risk Seasonality Mode - This mode offers a more gradual transition between risk states, measuring the change in the Z-score to visualize the shifts in risk appetite over time. It's useful for traders seeking to understand broader market cycles and risk phases. The seasonality view breaks down the market into the following phases:
Risk-On - High risk appetite where risk/cyclical markets are generally bullish.
Weakening - Markets showing signs of cooling off, here the higher beta assets tend to sell off first.
Risk-Off - Investors pull back, and bearish sentiment prevails.
Recovery - Signs of bottoming out, potential for market re-entry.
Component Matrices - Each individual Z-score is visualized as part of the component matrices - scaled to a 3 Sigma range. These component matrices allow traders to view how each data source is contributing to the overall risk assessment in real time - offering transparency and granularity.
Visuals and UI
Main Risk Matrix - The aggregated Z-Score is displayed saliently in the main risk matrix. Traders and investors can quickly see what season the Risk Matrix is signaling and adjust their strategies accordingly.
Overview Table - A detailed overview table shows the current confirmed Z-scores for each component, along with values from 2, and 3 bars back. This helps traders spot trends and the rate of change (RoC) between signals, offering additional insights for shorter-term risk management.
Customizability - Users can customize the visual elements of the matrix, including color palettes, table sizes, and positions. This allows for optimal integration into any trader’s existing workspace.
Usage Summary
The Risk Matrix is an incredibly versatile tool. It is especially valuable as a means of achieving a cross-market view of risk, incorporating both crypto-specific and macroeconomic factors. Some key use cases include:
Adjusting Capital Allocation Based on Risk Seasons - Traders can use the Risk Matrix to adjust their capital allocation dynamically. During Risk-On periods, they might increase exposure to long positions, capitalizing on stronger market conditions. Conversely, during Risk-Off periods, traders could reduce or hedge long positions and potentially scale up short positions or move into safer assets.
Complementing Other Trading Systems - The Risk Matrix can work alongside other technical systems to provide context to market moves. For instance, a trend-following strategy might suggest an entry, but the Risk Matrix could be used to verify whether the broader market conditions support this trade. If the Matrix is in a Risk-Off period, a trader might opt for more conservative trade sizes or avoid the trade entirely.
This flexibility allows traders to adjust their strategies and portfolio risk dynamically, enhancing decision making based on broader market conditions - as indicated by external macroeconomic factors, liquidity, and risk sentiment.
Important Note
The Risk Matrix always uses the most up-to-date data available, ensuring analysis reflects the latest market conditions and macroeconomic inputs. In rare cases, governments or financial institutions revise past data - and the Risk Matrix will adjust accordingly. This behavior can only be seen in the Liquidity Matrix. and can affect the final score. While this is uncommon, it highlights the benefit of using a system that adapts in real-time, incorporating the most accurate and current information to enhance decision making processes.
LIT_Globas_sys - Liquidity Inducement Theorem (SMC, IDM)LIT_GLOBAL_SYS Trading Tool Documentation, is a comprehensive market analysis tool that includes all components needed for trading according to Liquidity Inducement Theorem (LIT). LIT differs from classical trading methods and is considered a highly effective and profitable strategy.
What can LIT_GLOBAL_SYS do?
--- Market Structure
The main feature of Liquidity Inducement Theorem is building the correct structure, specifically construction taking into account inducement (IDM). Thus, a new HH or LL can only form when the price has taken the first correct pullback - inducement (IDM), and after this, we understand the location of BoS (break of structure) and CHoCH (change of character).
LIT_GLOBAL_SYS automatically and perfectly displays the correct structure following all LIT rules. Looking at the indicator, a trader always understands which range the price is currently in and where it's trending at the moment. The indicator also shows dynamic (live) levels, providing a clear understanding of the market structure in real-time.
The indicator settings allow customization of each structural element according to trader preferences. For example, you can change the style, color, and shape of structural objects.
--- Correct Pullbacks and Inside Bars
In Liquidity Inducement Theorem, correct pullbacks are fundamental. The structure, order blocks, liquidity levels, order flow, and single candle order blocks (CSOB) are all built based on pullbacks.
What is a pullback?
- When the next candle updates the low of the previous candle, we can finish drawing an upward pullback
- We can start drawing a downward correct pullback when the next candle updates the low of the previous candle
- The downward movement will continue until the opposite occurs - updating the high of the previous candle
There are complexities in determining pullbacks - these are inside bars. In Liquidity Inducement Theorem, inside bars are completely ignored!
For example, in an upward movement, at some point, candles may stop updating the high and low of the previous candle and remain within the boundaries of the previous candle. Theoretically, there could be any number of such candles from 1 to infinity. In such cases, it's important to wait for the price to exit the mother candle (the candle after which other candles remained within its high and low range).
LIT_GLOBAL_SYS easily handles this and displays both pullbacks and inside bars correctly.
--- Order Blocks and Fair Value Gaps (FVG)
In Liquidity Inducement Theorem, order blocks are defined differently from classical order blocks:
1. The order block must take liquidity from the previous candle
2. The order block must have Fair Value Gaps (FVG) before it
3. Inside bars are completely ignored for both Order Blocks and FVG
4. If an OB fulfills the first condition (taking liquidity from the previous candle) but doesn't have FVG before it, this block is moved forward along the candles until there is an imbalance before it
There are two most important order blocks in LIT strategy:
1. Inducement order block (idm ob) - the first order block after Inducement
2. Extreme order block (Ext ob) - the first order block before CHoCH
LIT_GLOBAL_SYS perfectly displays correct order blocks and Fair Value Gaps following all rules. It offers full customization options:
- Specify the number of displayed OBs
- Disable all order blocks except idm ob and Ext ob
- Change block frame color and style
- Disable or modify text display in blocks
--- Single Candle Order Block (Scob)
Rules for building Scob:
1. The candle takes liquidity from the previous candle and closes within the body of the previous candle
2. The candle following the Scob candle must close its body below the previous candle
3. Scob forms in continuation of the trend movement
4. Scob completely ignores inside bars
LIT_GLOBAL_SYS accurately displays Scob as triangles and fully ignores inside bars both left and right. The menu allows complete customization of display and quantity of displayed Scobs.
--- Liquidity Lines, Order Flow, and Three-Minute Rule
Auxiliary functions include:
- Liquidity Lines -
Each pullback is marked with a line, showing where unclosed liquidity exists. Completed lines can be hidden to help predict price movement and enter trades correctly.
- Order Flow -
The indicator implements order flow by drawing a line when a pullback is broken (closed by body) in the opposite direction until the second touch. If price moves away without a second touch, the line remains, showing unclosed OF and potential price return zones.
- Three-Minute Rule -
Some LIT traders use the three-minute rule: price manipulations in the last and first three minutes of each 15-minute candle are additional entry factors, especially in the last quarter of an hourly candle. LIT_GLOBAL_SYS displays this rule only on the one-minute timeframe with symbols below for M15 and H1.
--- Trading Sessions, PDH/PDL, and EMA
The system includes:
- Trading sessions (Tokyo, Frankfurt, London, New York) with customizable time settings
- Previous Day High and Previous Day Low (pdh/pdl) levels
- Exponential Moving Average (EMA) with adjustable length
- Equilibrium display between current BoS and CHoCH levels
--- Alert System
LIT_GLOBAL_SYS includes all necessary alerts for Liquidity Inducement Theorem:
1. SCOB
2. EMA
3. BoS, ChoCh, Sweep
4. IDM
5. IDM OB and Ext OB
Users can simply check the desired alerts in the menu and activate them to receive notifications when price reaches specified zones.
Support, Resistance & Liquidity Pool ZonesSupport, Resistance & Liquidity Pool Zones
This indicator automatically detects and plots support and resistance levels based on pivot points and highlights liquidity pool zones, areas where the trading volume exceeds the average over a set number of bars. It is designed to help traders identify key price levels and liquidity traps that can trigger significant market reactions.
Key Features:
Support & Resistance Levels:
The indicator identifies pivot highs and pivot lows as potential resistance and support levels, respectively.
You can customize the number of levels shown on the chart, making it easier to focus on the most recent and relevant price levels.
Liquidity Pool Zones:
The script detects liquidity pool zones, which are areas with above-average trading volume. These zones often act as regions of interest where price accumulation or distribution occurs, potentially leading to significant price moves.
Liquidity zones are shaded to help traders visually identify areas of high interest in the market.
Customizable Settings:
You can adjust the pivot period to fine-tune how the indicator calculates support and resistance.
Control the number of support/resistance levels displayed on the chart and the period used to detect liquidity pools.
Customize the colors for support, resistance, and liquidity zones to match your charting preferences.
Alerts:
The script includes built-in alerts for when the price breaks above resistance or falls below support, helping traders catch key breakout opportunities.
How It Works:
The script calculates support and resistance levels using pivot highs and lows based on the user-defined pivot period.
It monitors liquidity pool zones by comparing the current trading volume with the average volume over a customizable period. When the volume exceeds the set threshold, a liquidity pool zone is highlighted, providing insight into where the market may accumulate or distribute.
Alerts are triggered when the price breaks above the first resistance level or falls below the first support level, giving traders immediate notification of key market events.
How to Use:
Tune the Pivot Period: Adjust the pivot period to your preferred time horizon (default: 10 bars).
Set Liquidity Pool Parameters: Customize the number of bars considered for liquidity pool detection and the volume multiplier to detect high-volume zones.
Monitor Breakouts: Use the built-in alerts to catch potential breakout or breakdown opportunities near support and resistance levels.
This script is ideal for traders looking for an easy-to-use tool to visualize support and resistance levels and liquidity pools, aiding in decision-making and trade management.
[DarkTrader] Swing OrderflowSwing Orderflow is a indicator that helps traders detect key swing highs and lows in price action. It is designed to enhance your charting experience by highlighting important support and resistance levels while providing clear visual cues on market structure changes. By tracking swing pivots and price trends, this indicator enables traders to make more informed decisions regarding potential entry and exit points in the market.
This indicator is inspired by @Fractalyst Indicator :
The core functionality of the script revolves around detecting swing highs and lows based on a customizable swing period. It identifies these pivots by comparing price movements over a specific time window, marking the points where price either peaks or bottoms out. Swing highs are plotted as resistance levels when the price breaks above a certain threshold, while swing lows are plotted as support levels when price breaks below it. These key points are represented with dotted lines and labels on the chart for easy reference.
Indicator In Use :
Swing High Calculation
A swing high occurs when the high of a specific bar (or candle) is greater than the highs of the surrounding bars within a defined range (called the swing period).
Function used to find the highest price within a specified range : ta.highest(period)
If the current price is greater than the highest price of this period, it's marked as a potential swing high.
A swing high generally represents a resistance level, where the price has reached a peak before declining.
Swing Low Calculation
A swing low occurs when the low of a specific bar is lower than the lows of the surrounding bars within the swing period.
Function used to find the lowest price within a specified range : ta.lowest(period)
If the current price is lower than this lowest price, it's identified as a swing low.
Swing lows represent support levels, where the price reaches a bottom before bouncing back.
These points are plotted on the chart, and the script also tracks whether price breaks above the swing high or below the swing low to determine trends or possible reversals.
BSL (Buy Side Liquidity)
BSL represents the Buy Side Liquidity, where traders are expected to have their buy orders (usually stop-loss orders for short positions).
When the price reaches a swing high, traders who are short may have stop orders placed above this level. Once these levels are breached, the script identifies this as a liquidity area where stop orders get triggered, causing potential upward price movement.
The script marks the swing high with a "BSL" label and line to indicate this key resistance and liquidity zone.
SSL (Sell Side Liquidity)
SSL refers to the Sell Side Liquidity, where traders place sell orders (usually stop-loss orders for long positions).
Swing lows are important levels where traders holding long positions place their stop orders. When the price drops below a swing low, it triggers these sell orders, causing potential downward price movement.
The script marks the swing low with an "SSL" label and line, signaling this key support and liquidity zone.
In essence, BSL and SSL represent areas where liquidity is pooled, making them critical points in price action. These liquidity areas, when breached, often lead to aggressive price moves, allowing traders to anticipate trends.
Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1🔵 Introduction
🟣 What is CISD ?
Change in State of Delivery (CISD) is a key concept in technical analysis, similar to Change of Character (ChoCh) and Market Structure Shift (MSS) in the ICT (Inner Circle Trader) and Smart Money trading styles. Like ChoCh and MSS, CISD helps traders identify critical changes in market structure and make timely entries into trades.
To determine the CISD Level, traders typically review the last 1 to 4 candles to identify the first positive or negative candle. The CISD Level is then set using the opening price of the next candle.
In this version of the indicator, support and resistance levels are defined based on liquidity, which includes patterns such as SFP (Swing Failure Pattern), fake breakout, and false breakout.
Bullish CISD :
Bearish CISD :
🔵 How to Use
🟣 Bullish CISD (Change in State of Delivery Upward)
In Bullish CISD, the trend shifts from bearish to bullish after the price hits a liquidity zone, typically indicated by patterns such as SFP, fake breakout, or false breakout.
The steps to identify Bullish CISD are as follow s:
Identify the liquidity zone (SFP, fake breakout).
Review the candles and find the first positive candle.
Set the CISD Level using the opening price of the next candle after the positive candle.
Confirm the change in state of delivery when the price closes above the CISD Level.
Enter the trade after CISD confirmation.
🟣 Bearish CISD (Change in State of Delivery Downward)
In Bearish CISD, the trader looks for a shift from a bullish to a bearish trend. This change typically occurs when the price hits a liquidity level, indicated by patterns such as SFP or false breakout.
The steps to identify Bearish CISD are :
Identify the liquidity zone.
Review the candles and find the first negative candle.
Set the CISD Level using the opening price of the next candle after the negative candle.
Confirm the change in state of delivery when the price closes below the CISD Level.
Enter a short trade after CISD confirmation.
🟣 CISD Compared to ChoCh and MSS (CISD Vs ChoCh/ MSS)
CISD, ChoCh, and MSS are all tools for identifying trend changes in the market, but they have some differences :
CISD: Focuses on a change in the state of delivery and uses liquidity patterns (SFP, fake breakout) and key candles to confirm trend reversals.
ChoCh: Identifies a change in the market’s character, often signaling rapid shifts in trend direction.
MSS: Focuses on changes in market structure and identifies the breaking of key levels as a signal of trend shifts.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 SFP Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 SFP Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
CISD is a powerful tool for identifying trend reversals using liquidity patterns and key candle analysis. Traders can use the CISD Level to detect trend changes and find optimal entry and exit points.
This concept is similar to ChoCh and MSS but stands out with its focus on confirming trend changes through liquidity and specific patterns. With the right approach, CISD helps traders capitalize on market movements more effectively.
M2 Global Liquidity Index (Candles)M2 Global Liquidity Index (Candles)
In this enhanced version of the original M2 Global Liquidity Index script by Mik3Christ3ns3n , I've taken the foundational concept and expanded its capabilities for more in-depth analysis and user flexibility. This updated script aggregates M2 money supply data from major global economies—China, the U.S., the Eurozone, Japan, and the U.K.—adjusted by their respective exchange rates, into a customizable global liquidity index.
Key Enhancements:
Candlestick Visualization:
• Instead of a simple line chart, I've implemented a candlestick chart, providing a more detailed representation of liquidity trends with open, high, low, and close values for each period. This allows traders to analyze the index with the same technical tools used for price charts.
Customizable Components:
• Users can now select which components (M2 data and exchange rates) to include in the index calculation, giving you the flexibility to tailor the index to specific economic factors or regions of interest.
Dynamic Color Coding:
• Candles are color-coded based on their performance (bullish or bearish), with customized wick and border colors to enhance visual clarity, making it easier to spot liquidity trends at a glance.
Overlay Option:
• This script is designed to be an overlay, allowing you to plot the Global Liquidity Index directly on your price charts, facilitating comparison between liquidity trends and asset prices.
This enhanced script is ideal for traders and analysts who want a deeper understanding of global liquidity trends and their impact on financial markets.
God's of LiquidityHere’s a detailed description for your script, following the guidelines for clarity and originality:
---
**Title:** God's of Liquidity
**Description:**
The "Gods of Liquidity" script is a comprehensive trading tool designed to help traders identify high-probability buy and sell opportunities based on a combination of liquidity levels, RSI-based sentiment analysis, and session-specific filters.
**Key Features:**
1. **Liquidity Zones Identification:**
- The script dynamically calculates the previous day's high and low levels, which serve as critical liquidity zones. Traders can use these levels to spot potential breakout points and reversals.
2. **RSI-Based Sentiment Analysis:**
- The script incorporates a sophisticated RSI-based sentiment model that differentiates between institutional (Banker) and retail (Hot Money) activity. This dual RSI approach allows traders to gauge market sentiment and anticipate shifts in momentum.
- **Banker RSI:** Measures the sentiment of institutional traders, with customizable sensitivity and period parameters.
- **Hot Money RSI:** Measures retail trader sentiment, with its own adjustable settings to tailor the script to various market conditions.
3. **Session and Day Filters:**
- Traders can restrict signals to specific trading sessions and days of the week, providing greater control and precision in executing trades. This feature is particularly useful for aligning trading activity with market conditions that best suit the strategy.
4. **Breakout and Reversal Signals:**
- The script generates buy signals when the price breaks above the previous day's high, accompanied by bullish RSI sentiment from institutional traders. Conversely, sell signals are generated when the price breaks below the previous day's low, with bearish institutional sentiment.
- These signals are visually marked on the chart, making it easier for traders to identify potential trading opportunities.
5. **Customizable Moving Averages:**
- The script allows users to customize the moving averages used in the RSI calculations, giving traders the flexibility to adapt the tool to their specific trading style and market conditions.
6. **Alert System:**
- Alerts are integrated to notify traders when buy or sell conditions are met, ensuring that traders can react promptly to potential trading opportunities without constantly monitoring the charts.
**How It Works:**
- The script uses the previous day's high and low as key liquidity levels. The price crossing these levels, combined with RSI-based signals, indicates potential buy or sell opportunities.
- The sentiment analysis is derived from the RSI values, with separate calculations for institutional and retail activities. The crossover points of these RSI values against their respective moving averages trigger buy or sell signals.
- The session and day filters allow traders to focus on the most relevant times for trading, enhancing the effectiveness of the strategy.
**Usage:**
- This indicator is designed for Forex traders who want to integrate liquidity zones and sentiment analysis into their trading strategy. It is particularly effective on daily or higher timeframes where liquidity levels and RSI-based sentiment analysis can provide strong indications of market direction.
- The script's flexibility in adjusting session times, days, and RSI parameters makes it suitable for a wide range of trading styles, from day trading to swing trading.
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**License:**
This source code is subject to the terms of the Mozilla Public License 2.0 at (mozilla.org).
© bankbaguitarcrazy
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This description should provide sufficient detail to comply with the publication guidelines, offering clear insight into how the script works and its unique features.
Daily Liquidity Peaks and Troughs [ST]Daily Liquidity Peaks and Troughs
Description in English:
This indicator identifies peaks and troughs of highest liquidity on a daily timeframe by analyzing volume data. It helps traders visualize key points of high buying or selling pressure, which could indicate potential reversal or continuation areas.
Detailed Explanation:
Configuration:
Lookback Length: This input defines the period over which the highest high and lowest low are calculated. The default value is 14. This means the script will look at the past 14 bars to determine if the current high or low is a pivot point.
Volume Threshold Multiplier: This input defines the multiplier for the average volume. For example, a multiplier of 1.5 means the volume needs to be 1.5 times the average volume to be considered a significant peak or trough.
Peak Color: This input sets the color for liquidity peaks. The default color is red.
Trough Color: This input sets the color for liquidity troughs. The default color is green.
Volume Calculation:
Average Volume: The script calculates the simple moving average (SMA) of the volume over the lookback period. This helps to identify periods of significantly higher volume.
Volume Threshold: The threshold is determined by multiplying the average volume by the volume threshold multiplier. Only volumes exceeding this threshold are considered significant.
Identifying Peaks and Troughs:
Liquidity Peak: A peak is identified when the current high is the highest high over the lookback period and the current volume exceeds the volume threshold. This indicates a potential area of strong selling pressure.
Liquidity Trough: A trough is identified when the current low is the lowest low over the lookback period and the current volume exceeds the volume threshold. This indicates a potential area of strong buying pressure.
These peaks and troughs are marked on the chart with labels and shapes for easy visualization.
Plotting Peaks and Troughs:
Labels: The script uses labels to mark peaks and troughs on the chart. Peaks are marked with a red label and troughs with a green label.
Shapes: The script plots triangles above peaks and below troughs to highlight these areas visually.
Indicator Benefits:
Liquidity Identification: Helps traders identify key areas of high liquidity, indicating strong buying or selling pressure.
Visual Cues: Provides clear visual signals for potential reversal or continuation points, aiding in making informed trading decisions.
Customizable Parameters: Allows traders to adjust the lookback length and volume threshold to suit different trading strategies and market conditions.
Justification of Component Combination:
Peaks and Troughs Identification: Combining pivot points with volume analysis provides a robust method to identify significant liquidity areas. This helps in detecting potential market reversals or continuations.
Volume Analysis: Utilizing average volume and volume threshold ensures that only significant volume spikes are considered, enhancing the accuracy of identified peaks and troughs.
How Components Work Together:
The script first calculates the average volume over the specified lookback period.
It then checks each bar to see if it qualifies as a liquidity peak or trough based on the highest high, lowest low, and volume threshold.
When a peak or trough is identified, it is marked on the chart with a label and a shape, providing clear visual cues for traders.
Título: Picos e Fundos de Liquidez Diários
Descrição em Português:
Este indicador identifica picos e fundos de maior liquidez no gráfico diário, analisando os dados de volume. Ele ajuda os traders a visualizar pontos-chave de alta pressão de compra ou venda, o que pode indicar áreas potenciais de reversão ou continuação.
Explicação Detalhada:
Configuração:
Comprimento de Retrocesso: Este input define o período sobre o qual a máxima e mínima são calculadas. O valor padrão é 14. Isso significa que o script analisará os últimos 14 candles para determinar se a máxima ou mínima atual é um ponto de pivô.
Multiplicador de Limite de Volume: Este input define o multiplicador para o volume médio. Por exemplo, um multiplicador de 1.5 significa que o volume precisa ser 1.5 vezes o volume médio para ser considerado um pico ou fundo significativo.
Cor do Pico: Este input define a cor para os picos de liquidez. A cor padrão é vermelha.
Cor do Fundo: Este input define a cor para os fundos de liquidez. A cor padrão é verde.
Cálculo do Volume:
Volume Médio: O script calcula a média móvel simples (SMA) do volume ao longo do período de retrocesso. Isso ajuda a identificar períodos de volume significativamente mais alto.
Limite de Volume: O limite é determinado multiplicando o volume médio pelo multiplicador de limite de volume. Apenas volumes que excedem esse limite são considerados significativos.
Identificação de Picos e Fundos:
Pico de Liquidez: Um pico é identificado quando a máxima atual é a máxima mais alta no período de retrocesso e o volume atual excede o limite de volume. Isso indica uma potencial área de forte pressão de venda.
Fundo de Liquidez: Um fundo é identificado quando a mínima atual é a mínima mais baixa no período de retrocesso e o volume atual excede o limite de volume. Isso indica uma potencial área de forte pressão de compra.
Esses picos e fundos são marcados no gráfico com etiquetas e formas para fácil visualização.
Plotagem de Picos e Fundos:
Etiquetas: O script usa etiquetas para marcar picos e fundos no gráfico. Os picos são marcados com uma etiqueta vermelha e os fundos com uma etiqueta verde.
Formas: O script plota triângulos acima dos picos e abaixo dos fundos para destacar essas áreas visualmente.
Benefícios do Indicador:
Identificação de Liquidez: Ajuda os traders a identificar áreas-chave de alta liquidez, indicando forte pressão de compra ou venda.
Cues Visuais: Fornece sinais visuais claros para pontos potenciais de reversão ou continuação, auxiliando na tomada de decisões informadas.
Parâmetros Personalizáveis: Permite que os traders ajustem o comprimento de retrocesso e o limite de volume para se adequar a diferentes estratégias de negociação e condições de mercado.
Justificação da Combinação de Componentes:
Identificação de Picos e Fundos: A combinação de pontos de pivô com análise de volume fornece um método robusto para identificar áreas significativas de liquidez. Isso ajuda na detecção de potenciais reversões ou continuações de mercado.
Análise de Volume: Utilizar o volume médio e o limite de volume garante que apenas picos de volume significativos sejam considerados, aumentando a precisão dos picos e fundos identificados.
Como os Componentes Funcionam Juntos:
O script primeiro calcula o volume médio ao longo do período especificado de retrocesso.
Em seguida, verifica cada barra para ver se ela se qualifica como um pico ou fundo de liquidez com base
Smart Money Liquidity Heatmap [AlgoAlpha]🌟📈 Introducing the Smart Money Liquidity Heatmap by AlgoAlpha! 🗺️🚀
Dive into the depths of market liquidity with our innovative Pine Script™ indicator designed to illuminate the trading actions of smart money! This meticulously crafted tool provides an enhanced visualization of liquidity flow, highlighting the dynamics between smart and retail investors directly on your chart! 🌐🔍
🙌 Key Features of the Smart Money Liquidity Heatmap:
🖼️ Visual Clarity: Uses vibrant heatmap colors to represent liquidity concentrations, making it easier to spot significant trading zones.
🔧 Customizable Settings: Adjust index periods, volume flow periods, and more to tailor the heatmap to your trading strategy.
📊 Dynamic Ratios: Computes the ratio of smart money to retail trading activity, providing insights into who is driving market movements.
👓 Transparency Options: Modify color intensity for better visibility against various chart backgrounds.
🛠 How to Use the Smart Money Liquidity Heatmap:
1️⃣ Add the Indicator:
Add the indicator to favourites. Customize settings to align with your trading preferences, including periods for index calculation and volume flow.
2️⃣ Market Analysis:
Monitor the heatmap for high liquidity zones signalled by the heatmap. These are potential areas where smart money is actively engaging, providing crucial insights into market dynamics.
Basic Logic Behind the Indicator:
The Smart Money Liquidity Heatmap utilizes the Smart Money Interest Index Indicator and operates by differentiating between the trading behaviors of informed (smart money) and less-informed (retail) traders. It calculates the differences between specific volume indices—Positive Volume Index (PVI) for retail investors and Negative Volume Index (NVI) for institutional players—and their respective moving averages, highlighting these differences using the Relative Strength Index (RSI) over user-specified periods. This calculation generates a ratio that is then normalized and compared against a threshold to identify areas of high institutional trading interest, visually representing these zones on your chart as vibrant heatmaps. This enables traders to visually identify where significant trading activities among smart money are occurring, potentially signalling important buying or selling opportunities.
🎉 Elevate your trading experience with precision, insight, and clarity by integrating the Smart Money Liquidity Heatmap into your toolkit today!
NZTVolumeDESCRIPTION IN ENGLISH
🔶 INTRODUCTION
NZTVolume is an advanced indicator for TradingView , inspired by the mentor Almaz . It is intended to facilitate the analytical work of traders who actively use data on real trading volumes in their analysis. The indicator also has many features that simplify operation and provide great opportunities for analysis , including the key function - identification of effective and ineffective movements, which are described below.
🔶 CONTENT
This tool provides detailed visualization of real volume . Other features such as candlestick color change depending on volume, histogram display percentage change in volume , and display candles that have gained liquidity, but the most unique function is the determination of effective and ineffective movements, alerts for them are built into the indicator, and traders will have a unique opportunity by setting alerts to wait for the first effective movement (its meaning and description below) , all this is implemented through advanced computational algorithms applied in the code.
Key features include Real Volume Histogram, Dynamic Candle Color Change, Average Volume Table, Volume Percent Change, Liquidity taken Candle, Volume Moving Averages, Effective and ineffective movements with their lines, 3 types of customizable Volume Alerts.
🔶 LOGIC
🔹 Dynamic Candle Color Change (Изменять цвет свечей)
Candles change to a contrasting color if their volume exceeds that of the previous candle , differentiated into bullish and bearish , including settings for transparency and colors . Can be configured, enabled of or disabled.
🔹 Real Volume Histogram (Показывать гистограмму объемов)
Automatically retrieves data on volumes and shows it on a chart. Can be configured, enabled of or disabled.
🔹 Liquidity Taken Candle (Показывать свечу собравшую ликвидность)
A candle that has taken/captured liquidity , which is determined in the code by the high and low prices of the candle and the volume it has , is displayed on the histogram . Can be configured, enabled or disabled.
🔹 Percent Change Volume (Показывать гистограмму процентного изменения объема)
Calculates and displays volume percent changes on a histogram. Can be configured, enabled or disabled.
🔹 Effective and Ineffective movement/column (Показывать эффективные и неэффективные движения)
By calculating the average volatility of the last bars, as well as calculating the average volume of the last bars, comparing and contrasting them, we obtain the principle of effective and ineffective movement/column. The code includes alerts that allow you to notify the user when the first effective movement/candle appears, which can significantly improve trading and maintain concentration. Basically it's a specific column on histogram, but is called movement so that's it's easier to understand its logic.
🔹 Line of efficiency and inefficiency (Показывать линии эффективности и неэффективности)
These lines connect all effective and ineffective movements' highs on the histogram, allowing traders to practice, as well as build their trading strategy for the trading day.
🔹 Average Volume Table (Показывать таблицу со средним объемом)
Displays the average volume per bar for selected time intervals with the ability to customize the period . Can be configured, enabled or disabled.
🔹 Volume Moving Averages (Показывать среднюю скользящую объема)
Three lines corresponding to users' set time intervals show the change in volume with color and thickness settings. Can be configured, enabled or disabled.
🔹 Alerts (Во сколько раз объем свечи должен превышать предыдущую для алерта)
Alerts can be triggered by 3 conditions
1. if on the selected timeframe the volume of the current candle exceeds the volume of the previous candle by a user-specified number of times , an alert will be triggered.
2. if a liquidity candle appears on the selected timeframe , an alert is triggered.
3. if an effective column/movement appears on the selected timeframe, an alert is triggered.
It can be configured, enabled or disabled.
🔶 TECHNICAL SPECIFICATION AND UNIQUENESS
At the core of NZTVolume is a series of advanced algorithms that analyze volume data in real-time.
Some of them are:
Calculate average volumes by given time period (in hours).
Candles, that took liquidity - considers high volume and wicks' size.
Percent volume change histogram - calculate percent change of volume for every bar and shows it on graph.
Effective and ineffective movement - calculates by algorithm that considers average volume and average volatility, assuming that big market players will contribute the volume.
🔶 DEMONSTRATION OF HOW THE INDICATOR WORKS ON DIFFERENT ASSETS
NZTLevel + NZTVolume Together
🔶 SETTINGS
🔹 Candles (Свечи)
Enable/disable color changes of candles based on volume . Customize colors of contrasting and standard candles, adjust transparency.
🔹 Histogram Settings (Настройки Гистограммы)
Show volume histogram , show liquidity taken candle, show volume percent change histogram, show effective, ineffective movements, show efficiency/inefficiency line.
🔹 Display settings on the Histogram (Настройки отображения на Гистограмме)
Customizable colors for bullish, bearish, liquidity taken columns as well as for effective and ineffective movement/columns and for lines that connect them.
🔹 Table (Таблица)
Toggle the display of the average volume table, customize the background, and set time ranges (3 parameters, multi-timeframe support). Tables shows "average volume over 24/48/72 hours" in translation
🔹 Lines (Линии)
Option to display/hide average volume lines , select colors and thickness for each of the three lines.
🔹 Alerts (Алерты)
As was said before, there are 3 types of alerts , that can be turned off , there is a parameter can be chosen - How many times volume of the current candle should exceeds the volume of the previous candle to trigger alert
🔶 RECOMMENDATIONS FOR USE
It is recommended to set and save the indicator settings that best match your trading preferences to ensure efficiency and ease of use.
NZTVolume stands out among other indicators for its universal functions, versatility, simplicity of installation and setup, high performance, and extensive customization capabilities, making it an indispensable tool for traders of all levels.
The indicator was developed by Temirlan Tolegenov for NZT Trader Community, April 2024, Prague, Czech Republic
ОПИСАНИЕ НА РУССКОМ ЯЗЫКЕ
🔶 ВСТУПЛЕНИЕ
NZTVolume — это продвинутый индикатор для TradingView , вдохновленный ментором Алмазом . Он предназначен для облегчения аналитической работы трейдеров, которые активно используют данные о реальных объёмах торгов в своем анализе. Индикатор также имеет множество функций, которые упрощают работу и предоставляют большие возможности для анализа , включая ключевую функцию - выявление эффективных и неэффективных движений, которые описаны ниже.
🔶 СОДЕРЖАНИЕ
Индикатор обеспечивает детальную визуализацию реального объема . Другие функции, такие как изменение цвета свечей в зависимости от объема, отображение гистограммы процентное изменение объема и отображение свечи, собравшей ликвидность, но самой уникальной функцией является определение эффективных и неэффективных движений, оповещения по ним встроены в индикатор, и у трейдеров появится уникальная возможность установить оповещения на ожидание первого эффективного движения (его смысл и описание ниже). ) , всё это реализовано посредством продвинутых вычислительных алгоритмов, примененных в коде.
Ключевые функции включают в себя гистограмму реального объема, динамическое изменение цвета свечи, таблицу среднего объема, процентное изменение объема, свечу, взявшую ликвидности, скользящие средние объема, эффективные и неэффективные движения с их линиями, 3 типа настраиваемых параметров. Оповещения об объеме.
🔶 ЛОГИКА
🔹 Динамическое изменение цвета свечей (Изменить цвет свечей)
Свечи меняют цвет на контрастный , если их объем превышает объем предыдущей свечи , дифференцируются на бычьи и медвежьи , включая настройки прозрачности и цвета . Можно настроить, включить или отключить.
🔹 Гистограмма реального объёма (Показывать гистограмму объёмов)
Автоматически извлекает данные по объемам и отображает их на графике. Можно настроить, включить или отключить.
🔹 Свеча, собравшая ликвидность (Показывать свечу собравшую ликвидность)
Свеча, собравшая ликвидность , которая определена в коде максимальной и минимальной ценой свечи и объемом, который она имеет , отображается на гистограмма . Можно настроить, включить или отключить.
🔹 Процентное изменение объема (Показывать гистограмму процентного изменения объема)
Вычисляет и отображает процентные изменения объема на гистограмме. Можно настроить, включить или отключить.
🔹 Эффективные и неэффективные движения(Показать Эффективныеи неэффективные движения)
Рассчитав среднюю волатильность последних баров, а также вычислив средний объем последних баров, сравнивая и противопоставляя их, мы получаем принцип эффективного и неэффективного движения/столбца. В код включены оповещения, которые позволяют оповещать пользователя при появлении первого эффективного движения/свечи, что позволяет существенно улучшить торговлю и сохранить концентрацию. По сути, это отдельный столбец на гистограмме, но он называется движением, потому что так, его логику будет легче понять.
🔹 Линия эффективности и неэффективности (Показывать линии эффективности и неэффективности)
Эти линии соединяют хаи всех эффективных и неэффективных движений на гистограмме, позволяя трейдерам практиковаться, а также строить свою торговую стратегию на торговый день.
🔹 Таблица среднего объема (Показать таблицу со значением определения)
Отображает средний объем на бар для выбранных временных интервалов с возможностью настройки периода . Можно настроить, включить или отключить.
🔹 Скользящие средние объёма (Показать среднюю скользящую объём)
Три линии, соответствующие установленным пользователем временным интервалам , показывают изменение объема с настройками цвета и толщины. Можно настроить, включить или отключить.
🔹 Оповещения (Во сколько раз объем свечи должен превышать предыдущую для оповещения)
Оповещения могут быть вызваны тремя условиями
1. Если на выбранном таймфрейме объем текущей свечи превысит объем предыдущей свечи в заданное пользователем количество раз , сработает оповещение
2. Если на выбранном таймфрейме появляется свеча ликвидности , срабатывает оповещение
3. Если на выбранном таймфрейме появляется эффективный столбец/движение , срабатывает оповещение.
Это можно настроить, включить или отключить.
🔶 ТЕХНИЧЕСКИЕ ХАРАКТЕРИСТИКИ И УНИКАЛЬНОСТЬ
В основе NZTVolume лежит серия продвинутых алгоритмов, которые анализируют данные об объемах в режиме реального времени.
Некоторые из них:
Рассчёт средние объёмы за заданный период времени (в часах).
Свечи, снявшие ликвидность - учитывает большой объем и размер шпилей.
Процентное изменение объема на гистограмме — рассчитывает процентное изменение объема для каждого бара и отображает его на графике.
Эффективное и неэффективное движение - рассчитывается по алгоритму, учитывающему средний объем и среднюю волатильность, предполагая, что объем крупных игроков будет сигнализировать о намерении рынка и силе движения.
🔶 НАСТРОЙКИ
🔹 Свечи
Включить/отключить изменение цвета свечей в зависимости от объема . Настройте цвета контрастных и стандартных свечей, настройте прозрачность.
🔹 Настройки гистограммы
Показать гистограмму объема , показать свечу взятой ликвидности, показать гистограмму процентного изменения объема, показать эффективные и неэффективные движения, показать линию эффективности/неэффективности.
🔹 Настройки отображения на гистограмме
Настраиваемые цвета для бычьих, медвежьих, свечей, собравших ликвидность столбцов, а также для эффективных и неэффективных движений/столбцов и линий, которые их соединяют.
🔹 Таблица
Переключайте отображение таблицы среднего объема, настраивайте фон и устанавливайте временные диапазоны (3 параметра, мультитаймфрейм).
🔹 Линии
Возможность отобразить/скрыть линии среднего объема , выбрать цвет и толщину для каждой из трех линий.
🔹 Алерты
Как было сказано ранее, есть 3 типа оповещений , которые можно отключить , можно выбрать параметр — во сколько раз объем текущей свечи должен превышать объем предыдущей свечи, чтобы сработало оповещение.
🔶 РЕКОМЕНДАЦИИ К ИСПОЛЬЗОВАНИЮ
Рекомендуется установить и сохранить настройки индикатора, которые лучше всего соответствуют вашим торговым предпочтениям, чтобы обеспечить эффективность и простоту использования.
NZTVolume выделяется среди других индикаторов своими универсальными функциями, универсальностью, простотой установки и настройки, высокой производительностью и широкими возможностями настройки, что делает его незаменимым инструментом для трейдеров всех уровней.
Индикатор разработан Темирланом Толегеновым для международного сообщества NZT Trader , Апрель 2024, Прага, Чешская Республика.
The indicator is published in accordance and respect to all House Rules of the TradingView platform.
Индикатор опубликован в соответствии и уважением ко всем внутренним правилами платформы TradingView.
Normalized Global Net Liquidity + HMA Smoothed RoCThis script calculates "Global Net Liquidity" using various financial data sources, and integrates Rate of Change (RoC) visualization alongside an Equity Hull Moving Average (HMA) plot. It also features an additional "Global Liquidity" metric that is subsequently scaled and plotted.
First, several financial indicators are requested and combined to form the "Global Net Liquidity Indicator." A Rate of Change (RoC) is then calculated, and this RoC, alongside the Equity Hull Moving Average (HMA), is plotted. Next, a "Global Liquidity" measure is formed by combining various financial data.
In summary, this script involves achieving a comprehensive visualization of liquidity-related indicators and measures, providing an inclusive outlook into the nature of global liquidity trends.
The main plot is the 3 liquidity metrics averaged together and normalized then scaled between -1 and 1 for TPI scoring.
You can customize the weighting for each metric, as well as the lookback period for all 3 metrics.
-1 = Negative Trend
1 = Positive Trend
Yellow = Global Net Liquidity
Blue = RoC
Red = Equity HMA
This is insight into global liquidity, and not to be taken in anyway as trading signals. This is an analysis tool to be combined with further research.
ICT HTF MSS & Liquidity (fadi)ICT HTF MSS & Liquidity provides higher timeframe view of where the liquidity may reside and when higher timeframe market structure shift has occurred.
In his 2022 mentorship, ICT has advocated used the 15m chart to watch for liquidity and looking for lower timeframes for entry (5m,4m,3m,2m,1m).
Liquidity will reside above pivot points and ICT pivot points are based on 3 candle formation for the short term, three short term formation for intermediate, and three intermediate formation for the long terms.
Options
Timeframe Timeframe to monitor
Use the Short, Intermediate, or Long Term highs and lows
Liquidity Styles
Open liquidity line style, size, and color
Claimed liquidity line style, size, and color
Extend the open liquidity line beyond the current candle
Number of lines to display, this includes claimed and open
Lune Technical Analysis Premium⬛️ Overview
Lune Technical Analysis is a state-of-the-art TradingView indicator, meticulously designed to provide real-time market insights. Distinguished by its non-repainting features that operate in real-time, this tool brings enhanced accuracy and timeliness to your market analysis.
🟦 Features
Lune Technical Analysis equips traders with an array of innovative features:
🔹 Candle Coloring: The Candle Coloring feature introduces an innovative approach to visualizing market sentiment by coloring chart candles. It is devised to streamline your market analysis, offering a readily digestible snapshot of market trends. For example, if you aim to gauge the predominant market sentiment promptly, enable this feature for instant candle color-coding in accordance with prevailing bullish or bearish market structures. Though it currently supports only Market Structure-based Candle Coloring, its settings can be manipulated for enabling or disabling this feature. This feature operates by applying predefined algorithms that interpret market sentiment, coloring the candles accordingly.
🔹 Chart Pattern Detection: This sophisticated tool automatically detects and illustrates common chart patterns on your chart, simplifying the process of pattern identification. It identifies a range of patterns such as Head & Shoulders, Inverted Head & Shoulders, Ascending/Descending Wedges, Broadening Wedges, various Triangles, and Double Tops/Bottoms, enhancing your confluence detection in the market. For example, upon detecting a Double Top pattern, you could anticipate a potential price reversal due to this bearish signal. The sensitivity of this tool can be customized according to your trading style, with lower settings for short-term changes and higher for long-term. This feature leverages predefined formulas and price action analysis to identify these patterns.
🔹 Trendlines: With the Automatic Trendline Drawing tool, your technical analysis becomes significantly more efficient and precise. This feature is engineered to identify upward and downward Trendlines, aiding in locating potential pivots, and market support/resistance. For instance, if the price consistently rebounds off a Trendline, it may continue to do so, serving as a support/resistance level. However, a break through the Trendline could signal potential volatility and trend change. This feature's sensitivity to price changes can be adjusted to either short or long-term. It works by tracing Trendlines based on price action and wick formations to detect potential pivots.
🔹 Liquidity Bubbles: Liquidity Bubbles is an advanced tool that pinpoints key liquidity areas and large positions in real-time. This feature significantly contributes to effective trading strategy formulation by highlighting potential entry and exit points. It operates in real-time, ensuring zero repaint or lag, and supports two modes: Enhanced Bubbles and Basic Bubbles. For instance, the detection of multiple bullish Liquidity Bubbles during a ranging market could suggest an upward price movement due to dominant bullish volume. This feature's settings include thresholds for insignificant bubble filtering and a mode selection feature. Liquidity Bubbles operates by applying a proprietary formula to volume data, determining general volume direction and potential positions.
🔹 Market Structure: The Market Structure tool identifies key market structures such as Break of Structures (BoS) and Change of Character (ChoCh), thereby enhancing your ability to read market trends and sentiment. This smart money concept gives you a unique insight into short-term and long-term market trends. For instance, the appearance of a bullish Break of Structure and Change of Character after a predominantly bearish market sentiment could suggest a new bullish trend. This feature allows users to select which Market Structures to display and calculates these structures based on the market's high and low points.
🔹 Order Blocks: Order Blocks provide a visual representation of areas where large market participants are likely to place orders. These zones, where significant buying or selling activity has occurred in the past, offer insightful data for future price movements. The Order Blocks feature operates in real-time, providing real-time Order Blocks without any lag. For instance, if the price enters a large Order Block with predominantly bullish volume, an upward price movement can be anticipated. However, if the price breaks through the block, it could suggest the block's invalidation and a likely continued price fall. You can configure the settings to enable an additional Order Block, customize timeframes, overlap functions, and apply a quality filter. This feature calculates Order Blocks using the volume and candle size data.
🔹 Supply/Demand Zones: This real-time tool identifies crucial supply and demand zones, revealing potential price reaction points. These zones, where supply (selling pressure) and demand (buying pressure) have historically impacted price significantly, provide traders with insights into potential areas of strong support (demand) and resistance (supply). For example, if the price enters a large supply zone, a price rejection could be anticipated due to historical selling pressure at this zone. The settings enable users to add an additional Supply/Demand Zone, customize the timeframe, and apply a quality filter. This feature identifies common Supply/Demand Zones patterns based on volume and the size of the zone and displays them on the chart.
🔹 Fair Value Gaps: The Fair Value Gaps tool is designed to identify potential price correction zones or "gaps". These areas, where the market price sharply deviated from the fair value, suggest potential price adjustments in the future. For instance, the formation of a bullish Fair Value Gap could indicate a future price drop to fill this gap, potentially followed by an upward movement if the gap was of fair value. The settings allow users to enable additional Fair Value Gaps, customize the timeframe, and apply a quality filter. This feature measures large market gaps based on the size of the gap and its volume.
These features and tools collectively offer a comprehensive solution for traders to understand and navigate the financial markets. It's important to remember that they are designed to assist in making informed trading decisions and should be used as part of a balanced trading strategy.
🟧 Usage
Lune Technical Analysis's unique feature set can be leveraged both individually and synergistically. It is important to understand each feature and experiment with different configurations to best suit your unique trading needs.
🔸 Example #1: The following example demonstrates how the Order Block and Liquidity Bubbles feature can be used together to enhance your market analysis.
Order Blocks work in real-time to identify key order zones based on price action. These zones are often crucial for predicting price fluctuations. Meanwhile, Liquidity Bubbles act as real-time visual cues that detect significant market positions, facilitating an understanding of market accumulation, distribution, and trapped positions.
In this instance, at point 1, a bearish Basic and Enhanced Liquidity Bubble is visible within a crucial Order Block. The combination of these indicators augments the bearish sentiment, leading to a potential price decrease. Similarly, at point 2, the conjunction of two bullish Basic Liquidity Bubbles within an Order Block strengthens the bullish sentiment, culminating in a subsequent price increase.
🔸 Example #2: The following example demonstrates how Supply and Demand Zones can be used to detect strong and quality supports and resistance.
Supply and Demand Zones operate in real-time, detecting crucial zones based on price action and volume. This feature is invaluable for predicting potential price reaction points.
At point 1, the price enters a Supply Zone, a historical hotspot for selling activity, which usually leads to a price rejection and consequent decrease. At point 2, a Demand Zone indicating a bullish sentiment suggests a potential reversal when the price touches this level.
🔸 Example #3: The following example demonstrates how the Chart Pattern Detection feature is able to detect chart patterns to help enhance your trades.
Chart Pattern Detection employs formulas and price action analysis to identify common chart patterns as they form. Here, it successfully detects a 'Head and Shoulders' pattern, a conventionally bearish pattern, indicating a potential price drop.
🟥 Conclusion
Lune Technical Analysis stands as an exceptional blend of real-time insights into market activity. Its real-time, non-repainting features offer traders a more precise and timely approach to market analysis, promoting improved decision making in ever-changing market conditions.
🔻 Access
You can see the Author's instructions below to get instant access to this indicator & our Premium Suite.
🔻 Disclaimer
Lune Technical Analysis is a tool for aiding in market analysis and is not a guarantee of future market performance or individual trading success. We strongly recommend that users combine our tool with their trading strategies and do their due diligence before making any trading decisions.
Remember, past performance is not indicative of future results. Please trade responsibly.
Swing Volume Profiles [LuxAlgo]The Swing Volume Profiles indicator aims to calculate and highlight trading activity at specific price levels between two swing points; allowing traders to reveal dominant and/or significant price levels based on volume.
By measuring traded volume at all price levels in the market over a specified time period, the script can also be used to detect some key analysis generally such as supply & demand, buy-side & sell-side liquidity levels, unfilled liquidity voids, and imbalances that can highlight on the chart.
🔶 USAGE
A volume profile is an advanced charting tool that displays the traded volume at different price levels over a specific period. It helps you visualize where the majority of trading activity has occurred.
Key Levels are the areas where the volume is concentrated or where there are significant volume spikes. These levels are known as key support and resistance levels. High-volume nodes indicate areas of high activity and are likely to act as support or resistance in the future.
Volume profile also helps identify value areas, which represent the price levels where the most trading activity has taken place. These levels can act as areas of support or resistance as traders perceive them as fair value.
The Point of Control describes the price level where the most volume was traded. A Naked Point of Control (also called a Virgin Point of Control) is a previous POC that has not been traded. Extending PoC options 'Until Bar Cross' or 'Until Bar Touch' helps in identifying Naked Point of Control Lines.
Previous PoC levels can serve as support and resistance for future price movements. Extending PoC Level 'Until Last Bar' option will help to identify such levels.
🔶 DETAILS
One of the unique features of the script is its ability to detect some other key levels such as levels of acceptance and rejection.
Levels of rejection we may summarize as supply and demand levels, these are also referred to as buy-side and sell-side liquidity levels. They usually occur at extreme highs or lows, where prices may be too high for buyers (high supply, low demand) or too low for sellers (low supply, high demand)
Levels of acceptance are the levels where Liquidity Voids occur, these are also referred to imbalances. Liquidity voids are sudden changes in price when the price jumps from one level to another. The peculiar thing about liquidity voids is that they almost always fill up, so we call them levels of acceptance.
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in case:
Point Of Control Line is touched/crossed
Value Area High Line is touched/crossed
Value Area Low Line is touched/crossed
🔶 SETTINGS
🔹 Display Options
Mode: Controls the lookback length of detection and visualization, where Present assumes last X bars specifid in '# Bars' option and Historical assumes all data available to the user as well as allowed limits of visiual objects (boxs, lines, labels etc)
# Bars: Controls the lookback length.
🔹 Swing Volume Profiles
The script takes into account user-defined parameters and plots volume profiles. Due to Pine Script™ drwaing objects limit only total volume profiles are presented.
Swing Detection Length: Lookback period
Swing Volume Profiles: Toggles the visibility of the Volume Profiles, with color options to differentiate the Value Area within a profile.
Profile Range Background Fill: Toggles the visibility of the Volume Profiles Range
🔹 Point of Control (PoC)
Point of Control (POC) – The price level for the time period with the highest traded volume
Point of Control (PoC): Toggles the visibility of the Point of Control
Developing PoC: Toggles the visibility of the Developing PoC
Extend PoC: Option that allows detecting virgin PoC levels. Virgin Point of Control (VPoC) is defined as a Point of Control that has never been revisited or touched. The option also allows PoC levels to extend till the last bar aiming to present levels from history where the levels were traded significantly and those levels can be used as support and resistance levels.
🔹 Value Area (VA)
Value Area (VA) – The range of price levels in which the specified percentage of all volume was traded during the time period.
Value Area Volume %: Specifies percentage of the Value Area
Value Area High (VAH): Toggles the visibility of the Value Area High, the highest price level within the Value Area
Value Area Low (VAL): Toggles the visibility of the Value Area Low, the lowest price level within the Value Area
Value Area (VA) Background Fill: Toggles the visibility of the Value Area Range
🔹 Liquidity Levels / Voids
Unfilled Liquidity, Thresh: Enable display of the Unfilled Liquidity Levels and Liquidity Voids, where threshold value defines the significance of the level.
🔹 Profile Stats
Position, Size: Specifies the position and the size of the label presenting Profile Stats, the tooltip of the label includes all related info for each profile.
Price, Price Change, and Cumulative Volume: Enable display of the given options on the chart.
🔹 Volume Profile Others
Number of Rows: Specify how many rows each histogram will have. Caution, having it set to high values will quickly hit Pine Script™ drawing objects limit and may cause fewer historical profiles to be displayed.
Placement: Place profile either left or right.
Profile Width %: Alters the width of the rows in the histogram, relative to the calculated profile length.
🔶 RELATED SCRIPTS
Alternative Liquidity Void Detection script, Buyside-Sellside-Liquidity
BTCUSD Price prediction based on central bank liquidityIn recent months the idea that Bitcoin prices are increasingly linked to liquidity provided by central banks has gained strength. Multiple opinion leaders in the bitcoin space have shared their thoughts to explain why this is happening and why it makes sense. Some of these people I'm talking about are Preston Pysh, Dr. Jeff Ross, Steven McClurg, Lynn Alden among others.
The reality is that the correlation between market liquidity, measured as Assets held by the Federal Reserve, Bank of Japan and European Central bank, and Bitcoin prices is high. This made me wonder whether a regression between "market liquidity" and BTCUSD prices made sense in order to understand where Bitcoin prices are in relation to the liquidity in the market. After several trials I ended up fitting a polynomial regression of degree 5 between Market Liquidity and BTCUSD prices since 2013. This regression resulted in r-squared value of 90.93%. I initially visualized the results in python notebooks but then I thought it would be cool to be able to see them in real-time in tradingview.
That's where this script comes handy...
This script takes the coefficients and intercept from the polynomial regression I built and applies them to the "market_liquidity" index. In addition, it adds upper and lower bound lines to the prediction based on a 95% confidence interval. As you will see, particularly since 2020, the price of bitcoin has rarely been above or below the lines representing the 95% confidence interval. When price has actually crossed these lines it's been in moments where Bitcoin was highly overbought or oversold. Therefore this indicator could be used to understand when it's a good moment to enter or exit the market based on central bank fundamentals.
Here's the detailed step-by-step description of what the script does
1) It defines the coefficients obtained from running the regression betweeen "market liquidity" and BTCUSD. Market liquidity is defined as:
Market liquidity = FRED:WALCL + FX_IDX:JPYUSD*FRED:JPNASSETS + FX:EURUSD*FRED:ECBASSETSW - FRED:RRPONTSYD - FRED:WTREGEN
2) It defines a scale factor. The reason for this is that coefficients from the regression are very small numbers, given the huge numbers of the value of assets held by central banks. Pinescript doesn't support numbers with many decimals and rounds them to 0, so the coefficients had to be scaled up in order to be able to calculate the regression results.
3) It calculates market liquity with the formula defined above. Market liquidity is calculated in US Dollars.
4) It calculates the predicted BTCUSD price based on the coefficients and the market liquidity values.
5) It scales down the values by the same factor used to scale the coefficients up
6) It defines the standard deviation of the "potential_btcusd_price_scaled" and the actual BTCUSD prices.
7) It defines upper and lower bounds to the BTCUSD price prediction using a z-score of 1.96, which is equivalent to 95% confidence interval.
8) Lastly it plots the BTCUSD price prediction (orange) and the upper (red) and lower(green) confidence intervals.
The script can be updated as the correlation of BTCUSD to central bank assets changes (the slope values can be updated).
How to use it:
When actual BTCUSD price (blue line in the chart) crosses over the red line (upper bound) or crosses under the green line (lower bound) it should be taken as a sign that the price of BTCUSD may be overvalued or undervalued based on the value of assets held by major central banks.
ICT 2022 Mentorship Model [TFO]An attempt at programming the logic from the Inner Circle Trader (ICT) 2022 Mentorship Model. It's not perfect by any means, and NOT intended as a substitute for learning the model itself. I just wanted to share what I’ve been able to make thus far. PLEASE read this description thoroughly before reaching out with questions.
How it works, as of the initial release (bullish example):
When major Sell Side Liquidity (SSL) is taken, this script will start looking for displacement through a recent swing high, marking a potential Market Structure Shift (MSS)
From the bar that created the MSS, displacement is deemed valid if the range of that bar is greater than the standard deviation of recent price history, multiplied by the “Displacement Strength” parameter. Valid displacement also requires that a Fair Value Gap (FVG) was created
Once the above conditions are met, the script will assume we are now seeking Buy Side Liquidity (BSL), and will continue to look for long entries in an FVG after subsequent displacement through swing highs. *This script will keep looking for long entries until price takes out BSL*
Similarly, if price took out BSL and displaced through a swing low, the script will only look for short entries in an FVG until an SSL pivot is reached (alerts can be configured to show these potential entries)
Settings:
Show Structure Breaks: show breaks of structure on the current timeframe
Show Liquidity Taken: show when major liquidity has been traded through
Show Liquidity Pivots: show all pivots that are being considered as liquidity
Structure Pivot Strength: determines how strong a local high/low must be for structural pivots on the current timeframe
Liquidity Multiplier: this number, multiplied by Structure Pivot Strength, will determine the pivot strength used to find valid liquidity, which should always be greater than the Structure Pivot Strength
BOS Type: “Close” will only count structure breaks when price closes through a prior pivot, whereas “Wick” will include structure breaks even if price only wicks through the prior pivot
Show Displacement: show bar coloring for valid displacement through a swing high/low
Show Displacement FVG: show FVGs that results from valid displacement
Displacement Type: use “Open to Close” to look for displacement using only the body of a candle, or “High to Low” to use the candle’s entire price range
Displacement Strength: higher values will look for more significant displacement candles, and vice versa
Max Bars to Extend FVG: if an FVG has not been overwritten or invalidated, it will extend to the right for a maximum of this many bars
I recommend lowering the values for Structure Pivot Strength and Liquidity Multiplier for larger chart timeframes, and increasing the values for smaller timeframes. I prefer keeping the displacement strength to >= 3, which would be 3 times the standard deviation of recent price history.
Smart Money Concepts(v0.01) - SoldiSmart Money Concepts
We are very pleased to be releasing our latest addition to the Soldi tools, called Smart Money Concepts. What this indicator was built to be is a guideline and tool to help a trader develop the mental mind state of a Smart Money Trader. Picking up on the digital footprints that they might have missed! This is our first iteration of this tool but we have so so much more coming to bring to this tool! So much that we might need to release 2 scripts to be able to efficiently fit it all in. As always Soldi/MMCFX always try to raise the bar on what is possible with PineScript and what advanced concepts we can bring to the retail market with ease, this project was insanely fun trying to get together and we spent a lot of months talking with and doing sessions with very well versed traders who only specialize and solely trade live with Smart Money/ICT Concepts. After many months of talking with and working with these traders we believe we have put together a very unique tool that any SMC trader would love to have in their tool belt.
What is Smart Money Concepts?
Smart Money Concepts (SMC) is the practice of trying to track the digital footprints left by Market Makers and large money traders like Institutional bodies and brokers. I believe this concept was originally developed by Inner Circle Trading (ICT), who has some great great content for free on YouTube. To my knowledge he was the father of the concepts being taken mainstream to retail individuals. Since then, there has been many other who have released content on these theories. For the sake of congruency we have only developed these tools based off the knowledge and practices taught by ICT.
What is Included within this tool?
What is currently Included with this tool are the following.
Market Structure - This includes Break of Structures (BOS) and Change of Characters (CHoCH), It was really important for us to define the different shifts that SMC traders track and follow so we built a unique customizable system that allows the traders to track these Market Structure shifts in real-time. Part of this module includes the option to plot the High/Low labels, by putting this settings on you will mark out the swing points as their respective Higher High(HH), High Low(HL), Lower Low(LL) and Lower High(LH) . This feature is a great way to help familiarize yourself with spotting these instances, there is a slight lag due to the nature of the calculations for tracking the Swing Points. By default we track 4 left bars and 4 right bars, on the 5th bar if the swing point returns true you will see the label plot itself. If you have a higher bar count you will need to wait till x+1 to see the label be plotted. eg. 7 bar count on the left and right, you will need to wait till the 8th bar to see the label be plotted.
By changing the bar counts you also change how the Market Structure module picks up the Market shifts (BOS/CHoCH)
4 bar left, 4 bar right example:
7 bar left, 7 bar right example:
Liquidity Sweep - This part of the Market Structure module is still being worked on and built out, this feature is meant to help a trader identify potential liquidity sweeps that have taken place past or present by switching the bar color to the user defined color (default yellow). There are many different types of liquidity sweeps that can take place and we are still working on the different profiles of these! More profiles will be added to the the updates in the future to help identify these potential trade areas
Liquidity Sweep example:
Trend Bars - This part of the Market Structure module helps traders identify structure trends based on the breaks of existing structure. Again this will shift as you play with the bar count settings, low bar count will identify faster swing points and shifts where as higher bar counts will identify longer term structures. By having this setting on it will change the bar colors to Red(Bearish) or Blue(Bullish) by default, we recommend to change your candles border settings to make this more visible.
7 bar left, 7 bar right. With High Low Labels and Trend Bars
Fair Value Gaps - This module will track the Fair Value Gaps and Imbalances that will take place in real-time. Once the final candle closes it will plot the FVG. Unlike other FVG indicators on TradingView we hold and store ALL the FVG's that take place, other indicators will only hold on to x amount of the FVG's and as new ones enter the list the old ones get bumped out. We didn't like this idea, so what we did was instead store all of the FVG's but create a threshold to where they would be plotted, eg. if you set the threshold to 4% it will only show you the FVG's within a 4% range from the current price. This way you still have access to all the data with out compromising but it helps you focus on the current data at hand.
Fair Value Gap/Imbalance - 3% threshold example
Fair Value Gap/Imbalance - 8% threshold example
Order Blocks - This was an especially interesting module to build, just like the FVG's we found that a lot if not all the authors on TradingView haven't actually been coming close to tracking and plotting true ICT style Order blocks. We set out to change that though, again through a unique approach we have built this Order Block indicator. To also comment on the other scripts out there that claim to track Order Blocks, not a SINGLE script mentions anything about Validated Order Blocks , which was especially important to all the SMC traders I have talked to and had help from building this indicator. Just like the FVG piece this also has a 'threshold' plot, but not only that it gives you the option to look at "No Validation" and "Validated" Order Blocks. With soon another style of Validation to choose from. If you choose the "Validated" option the script will actively seek Order Blocks that have a POI/liquidity sitting above it. I also want to make it clear that based on your bar count settings the order blocks will differ, as they are also based from structure breaks!
Order Blocks with "No Validation" example
Order Blocks with "Validation" example
Advanced Session Tracking - We always seek to out do what has been done and what we have already done, that being said we built our Advanced Session Tracking module to follow each user define Session's Open, High, Low, Close, Liquidity threshold and extend that into the next session . As per our last KillZone indicator we also included the Forward Plotting feature which will plot the defined sessions 24 hours in advance vs only showing you real time. Many if not all Session tracking tools on TradingView only show you real-time and in the past when the define sessions are but we find that to be a very silly practice because as SMC traders you know how important it is the relation between time and price. Instead of reacting to the sessions you and prepare for the sessions ahead of time anticipating when price might react to time.
note: There is a small bug with tracking the crypto based sessions, this is working to be fixed for the next update, check the release notes to see when the fix occurs
Session Background plots with forward plotting example
Session Backgrounds with High/Lows and Liquidity range example
What is to come with the updates?
We are always looking to improve anything, even if it is just a fraction better. That is why we are continuing to work with our SMC traders to refine the concepts, profiles, coding as well as the logic behind the calculations.
Here is a list of what we are planning and working on to be released in the updates to come!
Intra-Day Profiling - Each day has a profile, what we want to achieve is to track and predict these profiles
Liquidity Scanner - There are different types of liquidity that form and we want to be able to find and track these
Smart Trend Alerts - We want to combine quant methods into SMC to provide high probability trade ideas
User Suggestions - We are always open to work with the community to bring features they want
If it's not Soldi, it isn't money
Sarhan smart map Sarhan Smart Map is an advanced, all-in-one indicator built for smart money traders who rely on market structure, liquidity concepts, and premium/discount frameworks. It visualizes institutional logic in real-time using precise, modular tools.
🔍 Key Features
1. 🔀 Market Structure (CHoCH & BOS)
Automatically detects Break of Structure (BOS) and Change of Character (CHoCH).
Customizable label style, sensitivity, and pivot settings.
Helps track the directional flow of the market.
2. 🧱 Order Blocks (OB)
Detects and displays all significant bullish and bearish order blocks.
Each OB shows internal volume ratio (Buy vs Sell).
Highlights mid-line, mitigated zones, and weak highs/lows.
Color-coded for active vs invalidated OBs.
3. 📉 Fair Value Gaps (FVG)
Identifies price imbalances and gaps across candles.
Supports both standard FVGs and breaker blocks.
Option to show midpoint, mitigation status, and overlaps.
Can detect fakeouts or “raids” within FVG zones.
4. 💦 Liquidity Grabs
Pinpoints buy-side and sell-side liquidity sweeps.
Bubble size reflects strength and candle structure.
Smart filters for wick size, body size, and number of prior candles.
Differentiates real grabs vs fake liquidity moves.
5. 📌 Buyside & Sellside Liquidity Zones
Detects equal highs/lows and draws liquidity zones visually.
Indicates where stop orders and liquidity traps may lie.
6. ⚖️ Premium & Discount Zones
Automatically calculates 50% equilibrium levels of price swings.
Visually highlights premium (above EQ) and discount (below EQ) zones.
Helps identify optimal entry locations based on Smart Money logic.
7. 🕒 Sessions Display (Asia / London / NY)
Displays boxes for major trading sessions on the chart.
Useful for timing strategies and spotting fake moves.
Each session can be toggled and color-customized.
8. 📈 Moving Average (MA) Filter
Built-in MA line (SMA or EMA) for trend bias confirmation.
Adjustable length and visibility for clarity.
9. 🌐 Overall Trend Coloring
Candles dynamically change color based on internal trend logic.
Combines market structure shifts, MA direction, and OB interactions.
⚙️ Settings & Performance
Fully modular: enable/disable any feature.
Adjustable chart history range (bars limit).
Optimized for performance and clarity.
Compatible with all major markets: forex, crypto, indices, metals, stocks.
🔒 Access
This is an invite-only script. Access is granted manually by the author.
Please contact below for licensing:
📬 Telegram: @Sarhan_EA_Support
SM/CENKER - Market Structure Break & Liquidity StrategySM/CENKER - Market Structure Break & Liquidity Strategy
This indicator offers a comprehensive buy/sell strategy by combining Market Structure Breaks (MSB), Order Blocks, Breaker Blocks, and Liquidity Zones. It uses a zigzag-based approach to detect trend reversals and automatically highlights bullish and bearish MSBs with smart boxes.
🔍 Key Features:
🔄 Trend Detection: Zigzag-based market structure break detection
📦 Order & Breaker Blocks: Auto-detection of Bu-OB / Be-OB & Bu-BB / Be-BB zones
💧 Liquidity Swings: Visualizes key swing high/low liquidity zones with labels
📈 EMA Filters (55-100-200): Trend strength confirmation
📊 MACD Signals: Trend-following buy/sell triggers
🔔 Alert System: Alerts available for all major signals
📱 Mobile-Friendly Visuals
This tool is ideal for professional traders seeking sniper entries and high-probability setups based on structure, liquidity, and momentum convergence.
⚠️ Disclaimer: This script is not intended for commercial use. It was developed solely to help and educate traders by providing useful tools and insights.
