Dynamic FVG & Trap Zones📘 Dynamic FVG & Trap Zones (DFTZ)
A Hybrid Model Combining Imbalance Mapping, Volume Behavior, and Trap Detection
Concept Overview
“Dynamic FVG & Trap Zones” is built to visualize real-time Fair Value Gaps (FVGs) and identify liquidity trap events inside those gaps using adaptive volume filters and wick-based logic.
Traditional FVG indicators merely mark imbalance zones between consecutive candles, but this model goes further — it measures how volume reaction and price penetration inside those zones reveal potential f alse moves or trap formations by smart money.
⚙️ How It Works
1. FVG Detection
• A Bullish FVG is detected when low > high , showing a price void left by aggressive buying.
• A Bearish FVG forms when high < low , implying a selling imbalance.
• These zones are automatically drawn as semi-transparent boxes that extend forward for 10 bars and decay once they exceed the configurable lookback window.
2. Volume Normalization & Grading
• Every bar’s volume is compared against a dynamic SMA( volLookback ) average to calculate a Volume Grade = current vol / avg vol.
• Only bars exceeding the Min Volume Grade threshold are eligible to generate valid FVG zones, ensuring that low-participation moves are ignored.
• The Trap Volume Threshold sets how quiet the reaction bar must be (relative to average volume) to qualify as a trap event.
3. Trap Detection Logic
• Each active FVG zone monitors incoming candles.
• A potential trap is triggered when price re-enters the zone (body or wick depending on settings) but fails to expand with confirming volume.
• If the event occurs inside a Bullish FVG, it marks a Bear Trap (green zone turned red).
If it happens inside a Bearish FVG, it flags a Bull Trap (red zone turned green).
• This reversal in zone color visually conveys trapped liquidity and potential directional fade.
4. Exclusivity and Cooldown Control
• To avoid signal clustering, you can choose exclusivity modes:
Allow Both, Bear over Bull, or Bull over Bear.
• A built-in per-signal cooldown timer prevents back-to-back plots of the same type, enhancing signal clarity during rapid price action.
5. Adaptive Visualization
• Wick-based vs body-based trap detection (toggleable).
• Optional cooldown filtering on shapes ensures the chart only displays validated events.
• Old FVG boxes are pruned automatically beyond the chosen lookback horizon.
🧠 Why It’s Different
Unlike static FVG detectors or simple liquidity sweep tools, DFTZ blends:
• Volume context (Smart Volume Grade filtering)
• Behavioral trap detection within imbalance zones
• Dynamic cooldown mechanics that control over-signaling
• Forward-propagating zones that self-expire gracefully
This synergy makes it a compact yet powerful tool for visualizing imbalances + liquidity traps in one framework — ideal for discretionary traders combining SMC concepts with volume analytics.
📈 How to Use
• Primary Context: Use on 15 min to 1 h charts to spot active FVG zones forming after impulsive moves.
• Trap Signal Interpretation:
• 🔴 “Trap” below bar → Bullish reversal (Bear Trap).
• 🟢 “Trap” above bar → Bearish reversal (Bull Trap).
• Combine With: Market structure breaks, VWAP, or delta volume tools to confirm true reversal intent.
• Alerts: All major events (FVG creation & trap confirmation) trigger ready-to-use alerts for automation or back-testing.
🧩 Customization
Setting Function
Max FVG Lookback Controls how long old zones remain active.
Volume SMA Period Defines the baseline for volume grading.
Min Volume Grade & Trap Volume Threshold Tune the sensitivity of trap confirmation.
Wick-Based Trap Detection Enable to capture wick rejections inside zones.
Signal Cooldown Prevents rapid multiple plots on successive bars.
⚠️ Disclaimer
This tool is designed for educational and analytical purposes only. It does not constitute financial advice or guarantee trading performance. Always conduct your own analysis and risk management before entering a position.
Cari dalam skrip untuk "liquidity"
LRHS Strategy - (@BAKARAFX)LRHS Strategy by @Bakarafx
🇫🇷 Indicateur avancé conçu pour identifier les zones de retournement potentielles basées sur les chasses de liquidités et la structure du marché.
Il aide les traders à comprendre où les grands acteurs piègent les participants avant un mouvement significatif, et à repérer les points clés de renversement avec précision.
⚙️ Fonctionnalités principales :
• Détection automatique des chasses de liquidités (hauts/bas précédents).
• Lecture multi-timeframe avec filtrage intelligent selon le timeframe de chasse et de confirmation.
• Signaux visuels clairs indiquant les zones de renversement structurel
• Outil compatible avec Bitcoin et Ethereum
• Optimisé pour le price action
🇺🇸 An advanced indicator designed to identify potential reversal zones based on liquidity hunts and market structure.
It helps traders understand where major players trap participants before a significant move, allowing for more precise detection of key reversal points.
⚙️ Main Features:
• Automatic detection of liquidity grabs (previous highs/lows)
• Multi-timeframe analysis with smart filtering between hunt and confirmation timeframes
• Clear visual signals highlighting structural reversal zones
• Compatible with Bitcoin and Ethereum
• Optimized for price action trading
📍 Développé par : @Bakarafx
⚠️ Disclaimer / Avertissement
This indicator is for educational and informational purposes only.
It does not constitute financial or investment advice.
Trading involves a high level of risk, and the author is not responsible for any financial losses that may occur.
Always do your own analysis and risk management before taking a trade.
Past performance does not guarantee future results.
Ultimate Stock Trend & Liquidity Screener1. Overview & Originality
This script is a comprehensive, all-in-one screening tool designed to identify high-quality, trend-following opportunities in global stock markets. Its originality lies in combining seven distinct logical checks—spanning liquidity, trend, momentum, and volatility—into a single, cohesive framework.
www.tradingview.com
The script's core innovation is its "Total Score" system. This feature moves beyond simple binary filtering by quantifying how well a stock meets the ideal criteria for a tradable trend. This allows you to rank entire watchlists to find the most promising candidates, not just the ones that meet a minimum threshold.
Designed for full integration with the TradingView ecosystem, the script outputs all individual conditions and the Total Score as separate columns in the Pine Screener, enabling deep and flexible market analysis.
2. Core Concepts & How It Works
Built on the classic principles of trend-following, this screener validates potential trades against a robust checklist. The default parameters are tuned for stock market analysis, using standard lookback periods like the 50 and 200-day moving averages.
The script systematically checks for:
Liquidity: Guarantees the stock is actively traded by filtering for minimum daily dollar volume (turnover) and a healthy 30-day average volume, which is critical for good execution.
Trend Confirmation: Employs the classic 50/200 Simple Moving Average "golden cross" structure to confirm a healthy, long-term uptrend.
Trend Quality: Includes an optional filter to verify that the long-term 200-day SMA is actively sloping upwards, ensuring the underlying trend has momentum.
Trend Strength: Uses the Average Directional Index (ADX) to filter out weak or sideways markets, focusing only on stocks in a strong, established trend.
Momentum: Confirms the trend is supported by sustained buying pressure by checking that the Relative Strength Index (RSI) is in a bullish regime (above 50).
Volatility: Requires a minimum level of volatility using the Average True Range (ATR) as a percentage of the price, ensuring the stock has enough movement to be tradable.
Strategic Entry: Offers a user-selectable "Entry Mode" to fit different trading styles:
Breakout Mode: Identifies stocks hitting new highs on a surge of volume.
Pullback Mode: Finds stocks already in a strong uptrend that are experiencing a healthy dip to a short-term moving average.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Stock Analysis: Apply the script to any stock chart to see a detailed diagnostic table in the bottom-right corner. This table provides a real-time checklist for all 7 conditions and the Total Score.
Full Market Screening (Recommended):
Open the Stock Screener on TradingView.
Click "Filters" and select this script from the Pine Screener menu.
Click the "Columns" button and add the new columns generated by this script ("Total Score," "Liquidity OK," etc.).
You can now sort your entire watchlist by "Total Score" to find the best candidates or filter for stocks that meet a minimum score (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters are fully customizable in the script's "Settings" menu. You can easily adjust moving average lengths, thresholds, and lookback periods to tailor the screener to your specific strategy, timeframe, or market.
5. Disclaimer
This tool is for educational and analytical purposes only. It is not financial advice and does not guarantee any specific outcome or profit. Past performance is not indicative of future results. Always use this screener as part of a complete trading plan that includes your own analysis and risk management.
DTLLC Time & PriceDTLLC Time and Price with Signals
This indicator is built for traders who understand ICT concepts and want a structured, visual way to align time-based price action with key market levels. By combining customizable trading windows, breakout logic, and daily reference points, it helps you identify high-probability trade opportunities while filtering out market noise.
Key Features
1. Dual Custom Time Ranges (Kill Zones)
Set two independent time ranges per day (start/end hour and minute).
Each range identifies the highest high and lowest low within its window.
Built-in breakout detection generates buy/sell signals when price moves beyond these levels.
2. Volatility Filtering
Adjustable volatility threshold based on True Range relative to ATR.
Filters out low-quality signals during choppy, low-volatility conditions.
3. ATR-Based Stop Loss
Custom ATR length and stop-loss multiplier settings.
Automatically plots ATR-based stop levels for triggered trades.
4. Daily Key Levels
Plots Previous Day High, Previous Day Low, and Midnight Open continuously on the chart.
Useful for spotting breakout and reversal opportunities in line with ICT market structure concepts.
5. Liquidity & Engulfing Candle Highlights
Highlights potential liquidity grab zones (yellow candles) when significant highs/lows are set within your lookback period.
Detects bullish (green) and bearish (red) engulfing patterns for added confluence.
6. Visual & Signal Tools
Buy/Sell signals plotted directly on chart (separate colors for Range 1 and Range 2). Continuous plotting of reference levels to maintain market context throughout the session.
Example Use Case:
A common ICT-inspired reversal setup:
Wait for price to sweep the Previous Day’s High or Low during your chosen time range.
Look for a buy or sell signal with volatility confirmation.
Manage risk using the ATR-based stop-loss plot.
Disclaimer: This script is for educational purposes only and is not financial advice. Trade responsibly and always test strategies before applying them in live markets.
SMC Pro - Smart Money Concepts🎯 SMC Pro - Complete Smart Money Concepts Trading System with Trade Alerts
The Most Comprehensive SMC/ICT Indicator Built for Real Traders
After extensive research into what retail and prop firm traders actually need, I've created SMC Pro - a complete Smart Money Concepts indicator that solves the biggest problems with existing SMC tools.
🚀 What Makes This Different:
✅ COMPLETE TRADE SETUP ALERTS - Not just structure breaks! Get full trade setups with:
* Entry, Stop Loss & Target Prices
* Risk/Reward Calculations
* 5-Point Confluence Scoring
* Visual Trade Labels on Chart
✅ INTELLIGENT FILTERING - No more chart spam:
* Minimum structure size filter (ATR-based)
* Minimum bars between signals
* Volume confirmation for order blocks
* Clean, actionable signals only
📊 Core Features:
1. Market Structure Analysis
* Break of Structure (BOS) with smart filtering
* Change of Character (CHoCH) detection
* Clear directional bias identification
* Prevents excessive signal clustering
2. Order Blocks
* Volume-confirmed institutional zones
* Automatic mitigation tracking
* Entry points for trade setups
3. Fair Value Gaps
* ATR-based size filtering
* Automatic fill detection
* Confluence factor for trades
4. Liquidity Zones
* Buy-side & Sell-side liquidity mapping
* Sweep detection with alerts
* Target zones for trades
5. Risk Management Integration
* Automatic R:R calculation
* Position sizing guidance
* Minimum R:R filtering (default 2:1)
🎯 5-Point Trade Confluence System:
1. Market structure alignment
2. Recent structure break (BOS/CHoCH)
3. Order block at current price
4. Fair value gap support
5. Liquidity target available
Minimum score of 3/5 required for trade alerts (adjustable)
⚙️ Smart Settings:
* Swing Length: 10 (default) - adjust for sensitivity
* Min Bars Between Signals: 20 - prevents clustering
* Min Structure Size: 1.0 ATR - filters noise
* Min Confluence Score: 3/5 - quality control
* Target R:R: 2:1 minimum - proper risk management
📱 Alert Types:
* 🎯 Trade Setup Alerts - Complete entry/exit plans
* ✅ Structure Breaks - BOS & CHoCH notifications
* 📊 Order Block Touch - Price at key zones
* 💧 Liquidity Sweeps - Stop hunts detected
💡 Pro Tips:
* Start with default settings
* Use on 15m+ timeframes for cleaner signals
* Increase confluence requirement for prop firm trading
* Enable volume confirmation for higher quality OBs
* Dashboard shows real-time setup status
🔧 If You Get Too Many Signals:
* Increase Swing Length to 15-20
* Increase Min Bars Between to 30-50
* Increase Min Structure Size to 1.5 ATR
* Raise Min Confluence Score to 4 or 5
This indicator is the result of solving real problems traders face with SMC/ICT concepts. It's designed to give you clean, actionable trade setups - not just mark up your chart with zones.
Built with Pine Script v6 for maximum performance and reliability.
Trade with confluence. Trade with confidence. Trade smart. 🎯
[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
4-Year Cycles [jpkxyz]Overview of the Script
I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more.
Cycle Theory Background:
The 2007-2008 financial crisis transformed central bank monetary policy by introducing:
- Quantitative Easing (QE): Creating money to buy assets and inject liquidity
- Coordinated global monetary interventions
Proactive 4-year economic cycles characterised by:
- Expansionary periods (low rates, money creation)
- Followed by contraction/normalisation
Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument.
Cycle Characteristics (based on historical cycles):
- A cycle has 4 seasons (Spring, Summer, Fall, Winter)
- Each season with a cycle lasts 365 days
- The Cycle Low happens towards the beginning of the Spring Season of each new cycle
- This is followed by a run up throughout the Spring and Summer Season
- The Cycle High happens towards the end of the Fall Season
- The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle
Key Functionalities
1. Cycle Tracking
- Divides market history into 4-year cycles (Spring, Summer, Fall, Winter)
- Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle)
- Identifies and marks cycle boundaries
2. Visualization
- Colors background based on current cycle season
- Draws lines connecting:
- Cycle highs and lows
- Inter-cycle price movements
- Adds labels showing:
- Percentage gains/losses between cycles
- Number of days between significant points
3. Customization Options
- Allows users to customize:
- Colors for each season
- Line and label colors
- Label size
- Background opacity
Detailed Mechanism
Cycle Identification
- Uses a modulo calculation to determine the current season in the 4-year cycle
- Preset boundary years include 2015, 2019, 2023, 2027
- Automatically tracks and marks cycle transitions
Price Analysis
- Tracks highest and lowest prices within each cycle
- Calculates percentage changes:
- Intra-cycle (low to high)
- Inter-cycle (previous high to current high/low)
Visualization Techniques
- Background color changes based on current cycle season
- Dashed and solid lines connect significant price points
- Labels provide quantitative insights about price movements
Unique Aspects
1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis
2. Seasonal Color Coding: Intuitive visual representation of market cycle stages
3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics
4. Highly Customizable: Users can adjust visual parameters to suit their preferences
Potential Use Cases
- Technical analysis for long-term investors
- Identifying market cycle patterns
- Understanding historical price movement rhythms
- Educational tool for market cycle theory
Limitations/Considerations
- Based on a predefined 4-year cycle model (Liquidity Cycles)
- Historic Cycle Structures are not an indication for future performance
- May not perfectly represent all market behavior
- Requires visual interpretation
This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
ICTProTools | ICT Insight - Time & Price Zones🚀 INTRODUCTION
The Time and Price Zones indicator builds upon the foundational concepts of ICT (Inner Circle Trader) and Smart Money Concepts (SMC). These methodologies analyze the behavior of institutional traders (known as "smart money") by focusing on liquidity, key price levels, and market timing.
Liquidity refers to areas with high concentrations of pending orders (stops, take-profits, entries) in the market. Large institutions efficiently need to execute their massive orders without causing excessive slippage. To achieve this, they strategically create and exploit liquidity pools by driving the price toward areas where retail traders cluster their positions.
Then, through "liquidity grabs" or "stop hunts,” institutions accumulate or distribute positions at optimal prices . This strategy allows them to fill large orders with minimal market impact, typically clearing out retail traders' positions before the price reverses.
This indicator helps traders apply these principles by merging time-based and price-based analysis tools for better market understanding. By combining high-impact sessions like Kill Zones with pivotal price markers such as Previous Highs and Lows, traders can see where institutional activity intersects with liquidity pools, improving their decision-making.
This powerful combination allows users to monitor market dynamics in real time, helping them spot sentiment shifts and identify crucial turning points more effectively.
💎 FEATURES
Kill Zones
Kill Zones are critical periods of the trading day characterized by heightened institutional activity, resulting in increased liquidity and significant price movements. By recognizing these zones, you can strategically focus your efforts on the most advantageous moments for trading.
The Asian Session , which runs from 5 PM to 1 AM New York time, serves as an essential liquidity provider before the onset of more volatile trading periods. This session is intricately linked to the Smart Money Tool (SMT - See below), as the highs and lows established during this period provide foundational liquidity levels. You can set alerts when these levels are breached , allowing you to stay informed without constant chart monitoring and make timely trading decisions.
Transitioning into the London Kill Zone from 2 to 5 AM New York time marks the beginning of the European session, often associated with increased volatility. Following this, the New York Kill Zone , occurring from 7 to 10 AM , sees significant overlap between the London and New York sessions, where liquidity flows intensify and frequently correlate with notable price reversals. Finally, the London Close from 10 to 12 PM signifies the end of the European session, often ending the day with a retracement in the daily range.
Thanks to the timezone you can select relative to a region, Kill Zones will automatically adapt to time changes throughout the year and between different brokers , ensuring accurate Kill Zone timings without manual adjustments.
Incorporating our advanced Kill Zones indicator into your trading strategy gives you unparalleled insights and enhanced functionality. With integrated alerts for breaches of key levels, you can stay informed and ready to act without the need for constant chart monitoring, allowing you to focus on executing your trading strategies effectively.
We can see on this chart the identified Kill Zones during the trading day on EURUSD , including the Asian Session in gray, which tends to consolidate slightly (creating liquidity), the London Kill Zone in orange, which tends to move fast, often taking Asian quickly, the New York Kill Zone in green, with always a lot of movements, and the London Close in blue, seeming rather to retrace.
The midline indicates the 50% mark of the session, serving as a reference point for potential price reactions. Additionally, the highs and lows established during the Asian Session are linked to the Smart Money Tool (SMT) and can trigger alerts when breached. Here, you could have received an alert when Asian Low (marked AL) and Asian High (marked AH) were swept.
Previous & Open Levels
Previous and Open levels are key elements in ICT methodology, showing important price points from major timeframes (Daily, Weekly, Monthly). These levels (Previous High, Low, Open, and their separators) help traders understand price dynamics and anticipate market shifts.
The Previous levels connect directly to the Smart Money Tool (SMT - See below) as they provide foundational liquidity levels. In ICT methodology, previous are levels where many traders place their Stop Loss, thus creating liquidity. This helps you understand potential market reactions and whether prices will likely continue their trend or reverse.
You’ll be instantly notified whenever the price interacts with any of these Previous levels. This means you can stay informed about critical market movements without the need to monitor your charts constantly.
The indicator also displays Opening prices and includes separators for daily, weekly, and monthly levels, offering a clear market overview.
Open levels can act as simplified indicators of Premium and Discount Zones. To be above the opening price can be considered as the Premium Zone , where the market offers higher prices, typically suitable for selling opportunities. Conversely, to be below this price can be considered as the Discount Zone , where prices are relatively lower, offering potential buying opportunities.
These visual elements help you identify crucial market zones that reflect both past price action and current market dynamics.
Our indicator offers you the exclusive ability to integrate the True Day Range, as described by ICT. Based on institutional logic, this concept defines the trading day starting at 00:00 New York time. You can adapt this flexible feature to match your trading style and analysis needs.
By incorporating our advanced Previous levels indicator into your trading arsenal, you gain powerful insights and enhanced functionality.
The chart above displays key Previous and open levels on EURUSD , including the Month, Week, and Day lines, along with separators for enhanced clarity. All levels are based on the True Day Range Mode. The notes indicate significant price points, highlighting how the price interacts with these important levels, which helps us to understand it…
We can start with the biggest liquidity, the Previous Month. In this example, we can see the PMH, and the price seems to have used this level as a reversal point. The PM levels are indeed significant liquidity zones. We can observe the creation of wicks that interact with this level, signaling a liquidity grab.
Following this, the price drops quickly before rebounding, creating a liquidity range, that will probably be liquidated then… This is why it rises again to form what is now the PDH (Previous Day High), using it as liquidity (inducement) while using the PWH (Previous Week High) as a rebound level. The PWH is indeed a High Resistance (HR) area since there is only a few liquidity at this point thanks to the liquidity grab. The price has no reason to move higher.
Looking ahead, we can forecast that the price may continue its decline, potentially targeting lower liquidity levels. There is likely additional liquidity beneath the current range, particularly near the PDL (Previous Day Low) and PWL (Previous Week Low).
Additionally, we can note that at this point, the price was above the D.O.P (Daily Open) and W.O.P (Weekly Open), areas where selling would be more favorable. The price reacts significantly around these levels, creating large wicks, demonstrating their importance.
SMT Dashboard (Smart Money Tool)
The Smart Money Tool (SMT) is a powerful concept within the ICT methodology that enables you to compare various assets based on liquidity uptake from significant price levels.
By utilizing the SMT, you can analyze any asset , whether it’s a currency pair, stock, cryptocurrency, or other financial instruments. The dashboard helps you identify the strongest and weakest assets by analyzing their interactions with critical liquidity levels and identifying divergences , including those related to the Previous Month, Previous Week, Previous Day, and Asian Session Highs and Lows. By doing so, he identifies the most bullish symbol. It will therefore tend to rise more easily, or at least fall less, than the other one.
The SMT includes alert functionality that notifies you whenever a new SMT is created or has changed , allowing you to stay informed about which asset is currently the strongest. This means you can react promptly to market changes without constantly monitoring your charts.
Additionally, since the SMT relies on the Previous levels, it is influenced by the selected mode, whether based on traditional Previous levels or the True Day Range . This flexibility ensures that you are using the most relevant information available for your trading decisions. Asian High and Asian Low levels are also calculated according to the schedules configured in the Kill Zones section.
In summary, the Smart Money Tool displays the strongest and weakest assets based on liquidity uptake, providing you with clear information on which asset to prioritize, so you can maximize your potential profits. By incorporating this concept into your approach, you align your decisions with prevailing market dynamics, offering you unparalleled insights and features tailored to enhance your trading strategy.
This chart displays the Smart Money Tool (SMT) dashboard on the GBPUSD symbol, which compares the liquidity uptake for EURUSD and GBPUSD pairs. The indicator shows that both Previous Month's and Week's High and Low were taken for both pairs. However, the Asian High (AH) has been breached on GBPUSD but not on EURUSD, while the Asian Low (AL) has been taken by EURUSD. As a result, GBPUSD is identified as the stronger asset, indicating that traders should focus on buying opportunities with GBPUSD rather than EURUSD. This analysis helps traders prioritize the best symbol for their strategies based on the most relevant liquidity divergences.
✨ SETTINGS
Kill Zones: Customize the display options for the Asian (with lines), London, New York, and London Close Kill Zones. Configure timezone options, midlines, and color preferences.
Previous & Open Levels: Adjust how Previous High/Low levels, Open and separators are displayed. Select between Classic or True Day Range Mode based on your trading preferences.
SMT: Choose the correlated assets for the SMT comparison and select which liquidity (Monthly, Weekly, Daily, Asian) to use and display. Configure settings like liquidity sweeps and strongest pair emojis.
Alerts: Configure alerts for key events such as the Asian High/Low or Previous Levels liquidity sweep, and SMT divergences.
🎯 CONCLUSION
The Time and Price Zones indicator offers a practical and insightful approach to market analysis by combining major principles of ICT and Smart Money Concepts into a cohesive tool. It empowers traders to understand key price levels, liquidity dynamics, and institutional activity with ease. By helping traders avoid being the liquidity of the market and instead align with institutional flows, the indicator can significantly enhance performances. 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.
Weighted Global Liquidity Index (WGLI) ROCThe Weighted Global Liquidity Index (WGLI) ROC indicator calculates the rate of change (ROC) of the WGLI, providing valuable insights into the dynamics of global liquidity. The WGLI consolidates major central bank balance sheets and key financial indicators, such as Foreign Exchange Reserves, Interbank Rates, and Interest Rates, converted to USD and expressed in trillions. Specific US accounts like the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP) are subtracted from the Federal Reserve's balance sheet for a more detailed view of US liquidity.
Using both the WGLI and the WGLI ROC together allows users to track changes in global liquidity and understand policy trajectories and economic conditions. This dual approach offers insights into asset pricing and helps investors make informed decisions about capital allocation.
Feel free to explore and customize the WGLI ROC script to suit your analysis needs!
Session Breakout/Sweep with alertsThis indicator is based on popular London breakout strategy. but as I noticed that it don't work good with breakouts so I made it to be used as reversal entries as well. By default the timing is set for asian session but you can change it according to your need.
Use as breakout
Use as liquidity sweep
Note:
On some pairs the timing changes automatically (I don't know why), if you face this issue , go to settings and set the timing accordingly and save it as templet so that you don't have to change it every time you load the chart with timing issue.
I hope you guys find it useful. Do share your though and feedback in comments.
Correlation index and liquidityAn indicator with which you can easily compare any ticker with the ones offered.
You can choose any of the tags that are offered in the options
You can also create your own ticker if you select the Custom in Mode option.
If the comparison mode is enabled, the current ticker you are viewing is divided by the ticker selected in the indicator.
For example, if you have the EURUSD ticker open. And the EURUSD indicator is selected in the option in the indicator. Then you will get the EURUSD correlation index with other currency pairs that are correlated, for example GBPUSD+NZDUSD+AUDUSD. This means that you can now see the common index of those three pairs in relation to the EURUSD.
Custom index for major currency, example GBP have index of GBPUSD+GBPAUD+GBPJPY+GBPNZD+GBPCHF. This means that you can now see the common index of those pairs in relation to the GBP.
This script is unique because it requires the optimal combination of pairs needed for each pair specifically, which I came to during many years of studying the forex market so the source code of the script have to remain hidden.
If you are a beginerr, you can just apply simple trend-breakout strategy after you spot the divergence.
For advanced traders, you can use this together with ICT's and SMC concepts as a confirmation upon your entry.
Please comment if you like it!
Multi-Timeframe High Low (@JP7FX)Multi-Timeframe High Low Levels (@JP7FX)
This Price Action indicator displays high and low levels from a selected timeframe on your current chart.
These levels COULD represent areas of potential liquidity, providing key price points where traders can target entries, reversals, or continuation trades.
Key Features:
Display high and low levels from a selected timeframe.
Customize line width, colors for high and low levels, and label text color.
Enable or disable the display of high levels, low levels, and labels.
Receive alerts when the price takes out high or low levels.
How to use:
It is important to note that using this indicator on it's own is not advisable. Instead, it should be combined with other tools and analysis for a more comprehensive trading strategy.
Possibly look to use my MTF Supply and Demand Indicator to look for zones to trade from at these levels?
If the price breaks above a high level, you might consider entering a long position, with the expectation that the price will continue to rise. Conversely, if the price breaks below a low level, you may think about entering a short position, anticipating further downward movement.
On the other hand, you can also use high or low levels to look for reversal trades, as these areas can represent attractive liquidity zones.
By identifying these key price points, you could take advantage of potential market reversals and capitalise on new trading opportunities.
Always remember to use this indicator in conjunction with other technical analysis tools for the best results.
Additionally, you can enable alerts to notify you when the price takes out high or low levels, helping you stay informed about significant price movements.
This indicator could be a valuable tool for traders looking to identify key price points for potential trading opportunities.
As always with the markets, Trade Safe :)
Synthetic Liquidity HeatmapSYNTHETIC LIQUIDITY HEATMAP (SLH) v1.0
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DESCRIPTION
The Synthetic Liquidity Heatmap (SLH) is an advanced statistical order book estimation tool that generates a visual representation of probable liquidity zones without requiring direct access to Level 2 market data. By analyzing price action, volume dynamics, and market microstructure patterns, SLH constructs a synthetic approximation of where institutional orders are likely concentrated.
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KEY INNOVATIONS
1. CHL SPREAD MODEL (Close-High-Low)
Implements a logarithmic spread estimation model based on the relationship between close price and the high-low midrange. This microstructure approach captures the implicit bid-ask spread behavior embedded in OHLC data, providing insight into market maker activity and order flow imbalances.
2. VSA INTEGRATION (Volume Spread Analysis)
Optional Volume Spread Analysis mode weighs liquidity calculations by the product of volume and candle range. This identifies bars with significant effort (volume) relative to result (price movement), highlighting potential accumulation and distribution zones.
3. DYNAMIC LEVEL SPACING
Liquidity levels are spaced using ATR-based calculations, automatically adapting to current market volatility. This ensures relevant level placement across different instruments and timeframes without manual adjustment.
4. ACCUMULATIVE LIQUIDITY TRACKING
When price revisits the same level multiple times, contracts accumulate rather than creating duplicate zones. This mimics real order book behavior where resting orders stack at key price levels.
5. REAL-TIME HIT DETECTION
The system monitors when price reaches liquidity levels, terminating filled zones and maintaining only active resting liquidity. This provides a dynamic, evolving view of the synthetic order book.
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MATHEMATICAL FOUNDATION
The CHL Spread Model is defined as:
CHL = √(4 × (ln(C) - M) × (ln(C) - M ))
Where:
- C is the closing price
- M = (ln(H) + ln(L)) / 2 is the log midrange
- M is the previous bar's log midrange
The State Factor adjusts liquidity intensity:
State Factor = max(0.2, 1.0 - (Z_spread × 0.15))
Where Z_spread is the z-score of the current spread relative to its moving average.
Liquidity distribution follows close position analysis:
Bid Strength = is_bullish ? (1 - close_position) × 0.7 + 0.3 : close_position × 0.7 + 0.3
Ask Strength = is_bullish ? close_position × 0.7 + 0.3 : (1 - close_position) × 0.7 + 0.3
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APPLICATIONS
- Identify probable support and resistance zones based on synthetic order flow
- Visualize where institutional liquidity may be resting
- Anticipate potential reversal or breakout zones
- Complement existing Level 2 data with statistical estimation
- Analyze liquidity dynamics on instruments without accessible order book data
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VISUAL REPRESENTATION
The heatmap displays:
- Green zones (Bids): Probable buy-side liquidity below current price
- Orange zones (Asks): Probable sell-side liquidity above current price
- Color intensity: Proportional to estimated contract concentration
- Level termination: Zones disappear when price "fills" the liquidity
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AUTHOR
Name: Hector Octavio Piccone Pacheco
Indicator: Synthetic Liquidity Heatmap (SLH)
Version: 1.0
Date: 2025
Original Contributions:
- CHL-based spread estimation for liquidity inference
- Accumulative synthetic order book model
- ATR-adaptive level spacing system
- Real-time liquidity hit detection engine
- VSA-weighted liquidity distribution
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DISCLAIMER
Trading involves substantial risk of loss. This indicator provides statistical estimations only and does not represent actual market depth or order book data. Past performance does not guarantee future results. Always conduct your own analysis and risk assessment.
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ACCESS TO SRC
To request access to the SRC indicator, please contact me through:
Discord: octa_0001
One Point Global Net Liquidity The "Fuel" Behind the MarketMost traders look at price action, but price is often just a reflection of the money supply available in the system. This indicator tracks Global Net Liquidity—the actual amount of fiat currency available to flow into risk assets like Crypto and Equities.
Unlike standard "Money Supply" (M2) charts, this indicator focuses on Central Bank Balance Sheets, which is a more direct proxy for "Quantitative Easing" (QE) and "Quantitative Tightening" (QT).
How It Works (The Formula)
This script aggregates the balance sheets of the "Big 4" Central Banks, which represent ~90% of global liquidity. It automatically converts all values to USD Trillions for a standardized view.
{Global Liquidity} = {US Net Liquidity} + {ECB} + {PBoC} + {BoJ}
1. US Net Liquidity (The "Trader's" Formula) We do not just use the Fed's Total Assets. We subtract the money that is "stuck" outside the private economy:
(+) Fed Balance Sheet: Total Assets.
(-) TGA (Treasury General Account): The government's checking account. When this goes up, liquidity is drained from markets.
(-) RRP (Reverse Repo): Money parked by banks at the Fed overnight. When this goes up, liquidity is removed from the system.
2. Global Additions
ECB (Eurozone): Converted to USD.
PBoC (China): Converted to USD.
BoJ (Japan): Converted to USD.
How to Use This Indicator This indicator is designed as an Overlay on the main chart (using the Left Scale).
Correlation: Generally, when the Orange Line (Liquidity) trends up, Bitcoin and the S&P 500 trend up. When Central Banks tighten (line down), risk assets struggle.
The "Divergence" Signal (Alpha):
Bullish: If Price makes a Lower Low but Liquidity makes a Higher Low, it often signals seller exhaustion and a potential bottom.
Bearish: If Price makes a New High but Liquidity fails to follow (or drops), the rally may be unsupported and prone to a reversal.
Settings
Scale: This indicator is pinned to the Scale Left to allow it to overlay price action without distortion.
Data: Uses daily data from ECONOMICS and FRED feeds.
Buyside & Sellside Liquidity The Buyside & Sellside Liquidity Indicator is an advanced Smart Money Concepts (SMC) tool that automatically detects and visualizes liquidity zones and liquidity voids (imbalances) directly on the chart.
🟢 Function and meaning:
1. Buyside Liquidity (green):
Highlights price zones above current price where short traders’ stop-loss orders are likely resting.
When price sweeps these areas, it often indicates a liquidity grab or stop hunt.
👉 These zones are labeled with 💵💰 emojis for a clear visual cue where smart money collects liquidity.
2. Sellside Liquidity (red):
Highlights zones below the current price where long traders’ stop-losses are likely placed.
Once breached, these often signal a potential reversal upward.
👉 The 💵💰🪙 emojis make these liquidity targets visually intuitive on the chart.
3. Liquidity Voids (bright areas):
Indicate inefficient price areas, where the market moved too quickly without filling orders.
These zones are often revisited later as the market seeks balance (fair value).
👉 Shown as light shaded boxes with 💰 emojis to emphasize imbalance regions.
💡 Usage:
• Helps spot smart money manipulation and stop hunts.
• Marks potential reversal or breakout zones.
• Great for traders applying SMC, ICT, or Fair Value Gap strategies.
✨ Highlight:
Dollar and money bag emojis (💵💰🪙💸) are integrated directly into chart labels to create a clear and visually engaging representation of liquidity areas.
M2 Global G13 Liquidity (Custom & Shift, US DXY Adj.)🌎 M2 Global G13 Liquidity index (Custom & Shift, US DXY Adj.)
💡 Indicator Overview
The M2 Global G13 Liquidity indicator combines the M2 liquidity of 13 major countries, allowing users to selectively include or exclude each country to visualize global capital flows and potential investment liquidity at a glance.
Each country's M2 data is converted to USD using real-time exchange rates, and the US M2 is further adjusted using the Dollar Index (DXY) to reflect the impact of dollar strength or weakness on US liquidity.
✅ What is M2?
M2 is a broad measure of money supply that includes cash, demand deposits, savings deposits, and certain financial products.
It represents a country's overall liquidity and capital supply and is often interpreted as "dry powder" ready to be deployed into various assets such as equities, real estate, and bonds.
Therefore, M2 serves as a crucial benchmark for assessing a country's potential investment capacity that can flow into markets at any time.
💰 Exchange Rate & Dollar Index Adjustment
- All country M2 data is converted from local currencies to USD.
- The US M2 is further adjusted using the Dollar Index (DXY) to better reflect its real global power:
- DXY > 100 → Liquidity contraction (strong dollar effect)
- DXY < 100 → Liquidity expansion (weak dollar effect)
🗺️ Country Selection Options
- Default selection: United States
- Major selections: China, Eurozone, Japan, United Kingdom (core G5 economies)
- Additional selections: Switzerland, Canada, India, Russia, Brazil, South Korea, Mexico, South Africa
- Users can freely add or remove countries to customize the indicator to match their analytical needs.
📈 Example Use Cases
- Monitor global capital flows: Track worldwide liquidity trends and detect potential market risk signals.
- Analyze exchange rate and monetary policy trends: Compare dollar strength with major central bank policies.
- Benchmark against equity indices: Evaluate correlations with MSCI World, KOSPI, NASDAQ, etc.
- Valuation analysis: Compare overall liquidity levels to equity index prices or market capitalization to assess relative valuation and identify potential overvaluation or undervaluation.
- Crisis response strategy: Identify liquidity contraction during global credit crises or deleveraging phases.
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🌎 M2 글로벌 G13 유동성 지수 (Custom & Shift, US DXY Adj.)
💡 지표 소개
M2 Global G13 Liquidity 지표는 세계 13개 주요국의 M2 유동성을 선택적으로 결합하여, 글로벌 자금 흐름과 잠재 투자 자금을 한눈에 시각화할 수 있도록 설계된 종합 유동성 지표입니다.
국가별 M2 데이터를 환율과 결합해 달러 기준으로 표준화하며, 특히 미국 M2는 달러지수(DXY)로 보정하여 달러 강약에 따른 파급력을 반영합니다.
✅ M2란?
M2는 광의 통화지표로, 현금 + 요구불 예금 + 저축성 예금 + 일부 금융상품을 포함합니다.
이는 한 국가의 유동성 수준과 자금 공급 상태를 나타내는 핵심 거시경제 지표이며, **주식·부동산·채권 등 다양한 자산에 투자될 준비가 된 '대기자금'**으로도 해석됩니다.
따라서 M2는 투자시장으로 언제든지 흘러들어갈 수 있는 잠재적 투자 역량을 평가할 때 중요한 기준입니다.
💰 환율 및 달러지수 보정
- 모든 국가 M2는 자국 통화에서 **달러(USD)**로 환산됩니다.
- 특히 미국 M2는 달러 가치의 글로벌 실질 파워를 평가하기 위해 DXY 보정을 적용합니다.
- DXY > 100 → 유동성 축소 (강달러 효과)
- DXY < 100 → 유동성 확대 (약달러 효과)
🗺️ 국가별 선택 옵션
- 기본 선택: 미국
- 주요 선택: 중국, 유로존, 일본, 영국 (주요 G5)
- 추가 선택: 스위스, 캐나다, 인도, 러시아, 브라질, 한국, 멕시코, 남아공
- 사용자는 각 국가를 자유롭게 더하거나 빼면서 커스터마이즈할 수 있습니다.
📈 활용 예시
- 글로벌 자금 흐름 모니터링: 전세계 유동성 추세 및 시장 리스크 신호 분석
- 환율/금리 정책 분석: 달러 강약과 주요국 정책 변화 비교
- 주가지수 벤치마크 비교: MSCI World, 코스피, 나스닥 등과 상관관계 확인
- 밸류에이션 분석: 전체 유동성 수준을 주가지수나 시가총액과 비교하여, 시장의 상대적 고평가·저평가 여부를 평가
- 위기 대응 전략: 글로벌 신용위기·자금 긴축 국면 대비
Amihud Liquidity RatioCalculates liquidity as a sort of moving average over time
The Amihud Illiquidity Ratio (ILLIQ) measures the price impact of trading volume. It's calculated as the absolute daily return divided by the daily dollar volume:
𝐼𝐿𝐿𝐼𝑄ₜ = |𝑅ₜ| / 𝑉𝑂𝐿𝐷ₜ
Where:
|𝑅ₜ| is the absolute value on return day t
𝑉𝑂𝐿𝐷ₜ is the dollar trading volume on day t
Here's how you can incorporate this indicator into your analysis:
1. Identifying Liquidity Regimes:
High Liquidity (Low Indicator Values): When the indicator is consistently low, it suggests a market or asset where it's generally easier to enter and exit positions without significant slippage. This might be a more favorable environment for strategies that rely on tight spreads and efficient order execution.
Low Liquidity (High Indicator Values): When the indicator is consistently high or spiking, it signals periods of lower liquidity. This can lead to:
Increased Volatility: Fewer participants and larger bid-ask spreads can amplify price movements.
Higher Slippage: Executing large orders might result in getting a worse price than expected.
Gap Risk: Significant price gaps can occur between trading sessions due to a lack of continuous trading interest.
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2. Confirming Trends and Breakouts:
Trend Confirmation:
Uptrend with Increasing Liquidity (Falling Amihud): A healthy uptrend often sees increasing participation and ease of trading. A falling Amihud during an uptrend can provide confidence in the trend's sustainability.
Uptrend with Decreasing Liquidity (Rising Amihud): An uptrend accompanied by rising Amihud might be less stable. It could suggest that the price increase is driven by fewer participants and might be more prone to reversals.
The same logic applies to downtrends, but in reverse.
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Breakout Confirmation:
Breakout with Increasing Liquidity (Falling Amihud): A breakout accompanied by increasing liquidity (falling Amihud) can suggest strong conviction and a higher probability of the breakout being sustained.
Breakout with Decreasing Liquidity (Rising Amihud): A breakout on low liquidity might be more suspect and could be a "fakeout" if there isn't enough sustained buying or selling pressure.
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3. Identifying Potential Reversal Points:
Liquidity Exhaustion: Sometimes, a prolonged period of low liquidity (high Amihud) might precede a reversal. The lack of active trading interest at those levels could make the price more susceptible to a shift in sentiment.
Liquidity Surges: A sudden spike in liquidity (a sharp drop in Amihud) after a period of low liquidity could indicate renewed interest and potentially the start of a new trend or a reversal of the previous one.
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Global M2 Money Supply (USD) GrowthThe Global M2 Growth indicator evaluates the total liquid money supply, including cash, checking deposits, and assets that can be easily converted to cash. It reflects changes in global liquidity by tracking year-on-year (YoY) changes in the Global M2 money supply rather than its absolute value. This approach highlights the velocity of liquidity expansion or contraction, offering a clearer understanding of its correlation with asset performance, such as Bitcoin.
How It Works
When the Global M2 money supply expands, it reflects an increase in available liquidity. This often leads to an influx of capital into higher-yielding and riskier assets like Bitcoin, equities, and commodities. Conversely, when M2 contracts, liquidity tightens, leading to declines in the values of these assets.
An essential insight is that Bitcoin's price is not immediately affected by changes in M2. Research shows a lag of approximately 56-60 days (around two months) between liquidity changes and Bitcoin's price movements. Shifting the liquidity data forward by this period improves the correlation between Global M2 and Bitcoin performance.
How to Use
Track Global M2 YoY Change: Focus on liquidity's yearly change to identify trends. Rapid increases in liquidity often signify favorable conditions for Bitcoin and other risk assets to rise, while contractions often predict price declines or consolidation phases.
Account for the Lag Effect: Incorporate the two-month lag into your analysis to predict Bitcoin's potential moves more accurately. For instance, a recent resurgence in liquidity growth could signal a Bitcoin rally within the next two months.
Use as a Macro Indicator: Monitor liquidity trends alongside other economic indicators and asset performance metrics to build a more comprehensive investment framework.
By tracking these dynamics, traders and investors can better anticipate Bitcoin's trajectory and make informed decisions.
Blockchain Fundamentals: Liquidity Cycle MomentumLiquidity Cycle Momentum Indicator
Overview:
This indicator analyzes global liquidity trends by calculating a unique Liquidity Index and measuring its year-over-year (YoY) percentage change. It then applies a momentum oscillator to the YoY change, providing insights into the cyclical momentum of liquidity. The indicator incorporates a limited historical data workaround to ensure accurate calculations even when the chart’s history is short.
Features Breakdown:
1. Limited Historical Data Workaround
Function: The limit(length) function adjusts the lookback period when there isn’t enough historical data (i.e., near the beginning of the chart), ensuring that calculations do not break due to insufficient data.
2. Global Liquidity Calculation
Data Sources:
TVC:CN10Y (10-year yield from China)
TVC:DXY (US Dollar Index)
ECONOMICS:USCBBS (US Central Bank Balance Sheet)
FRED:JPNASSETS (Japanese assets)
ECONOMICS:CNCBBS (Chinese Central Bank Balance Sheet)
FRED:ECBASSETSW (ECB assets)
Calculation Methodology:
A ratio is computed (cn10y / dxy) to adjust for currency influences.
The Liquidity Index is then derived by multiplying this ratio with the sum of the other liquidity components.
3. Year-over-Year (YoY) Percent Change
Computation:
The indicator determines the number of bars that approximately represent one year.
It then compares the current Liquidity Index to its value one year ago, calculating the YoY percentage change.
4. Momentum Oscillator on YoY Change
Oscillator Components:
1. Calculated using the Chande Momentum Oscillator (CMO) applied to the YoY percent change with a user-defined momentum length.
2. A weighted moving average (WMA) that smooths the momentum signal.
3. Overbought and Oversold zones
Signal Generation:
Buy Signal: Triggered when the momentum crosses upward from an oversold condition, suggesting a potential upward shift in liquidity momentum.
Sell Signal: Triggered when crosses below an overbought condition, indicating potential downward momentum.
State Management:
The indicator maintains a state variable to avoid repeated signals, ensuring that a new buy or sell signal is only generated when there’s a clear change in momentum.
5. Visual Presentation and Alerts
Plots:
The oscillator value and signalline are plotted for visual analysis.
Overbought and oversold levels are marked with dashed horizontal lines.
Signal Markers:
Buy and sell signals are marked with green and maroon circles, respectively.
Background Coloration:
Optionally, the chart’s background bars are colored (yellow for buy signals and fuchsia for sell signals) to enhance visual cues when signals are triggered.
Conclusion
In summary, the Liquidity Cycle Momentum Indicator provides a robust framework to analyze liquidity trends by combining global liquidity data, YoY changes, and momentum oscillation. This makes it an effective tool for traders and analysts looking to identify cyclical shifts in liquidity conditions and potential turning points in the market.
ICT Candle Block (fadi)ICT Candle Block
When trading using ICT concepts, it is often beneficial to treat consecutive candles of the same color as a single entity. This approach helps traders identify Order Blocks, liquidity voids, and other key trading signals more effectively.
However, in situations where the market becomes choppy or moves slowly, recognizing continuous price movement can be challenging.
The ICT Candle Block indicator addresses these challenges by combining consecutive candles of the same color into a single entity. It redraws the resulting candles, making price visualization much easier and helping traders quickly identify key trading signals.
FVGs and Blocks
In the above snapshot, FVGs/Liquidity Voids, Order Blocks, and Breaker Blocks are easily identified. By analyzing the combined candles, traders can quickly determine the draw on liquidity and potential price targets using ICT concepts.
Unlike traditional higher timeframes that rigidly combine lower timeframe candles based on specific start and stop times, this indicator operates as a "mixed timeframe." It combines all buying and all selling activities into a single candle, regardless of when the transactions started and ended.
Limitations
There are currently TradingView limitations that affect the functionality of this indicator:
TradingView does not have a Candle object; therefore, this indicator relies on using boxes and lines to mimic the candles. This results in wider candles than expected, leading to misalignment with the time axis below (plotcandle is not the answer).
There is a limit on the number of objects that can be drawn on a chart. A maximum of 500 candles has been set.
A rendering issue may cause a sideways box to appear across the chart. This is a display bug in TradingView; scroll to the left until it clears.
Cryptosmart Trading Tool (by heswaikcrypt)Introducing the Cryptosmart Trading Tool (CSTP) - An optimized into Market Sentiment and direction tool
The Cryptosmart Trading Tool (CSTP) is an advanced indicator developed to provide valuable insights into market sentiment and direction. This tool combines existing TA tools and intelligently develops smart algorithms to empower traders with a deeper understanding of market dynamics. Some classic elements are included in the scripting, such as the exponential moving average (EMA), volume, and Relative Strength Index (RSI), to provide a comprehensive analysis of market conditions. By combining these indicators, the script aims to capture different aspects of market sentiment and enhance the accuracy of the analysis.
The Cryptosmart Trading Tool (CSTP) incorporates a unique algorithm that combines trend following analysis, momentum analysis, and volume analysis to provide insights into market sentiment and price action.
Trend Following Analysis:
The algorithm utilizes two exponential moving averages (EMAs): EMA1 and EMA2.
When EMA1 crosses above EMA2, it indicates an uptrend (isUptrend).
When EMA1 crosses below EMA2, it indicates a downtrend.
You adjust the input value to suit your trading strategy, however, 7, 8, 21, 34, and 200 have been tested to produce a fine tuned output.
The bar color indicates blue for bullish sentiment (is uptrend) and white for bearish sentiment (is downtrend).
Momentum Analysis:
The relative strength index (RSI) is calculated based on the closing prices and the specified RSI length.
RSI values above 70 indicate overbought conditions (isOverbought).
RSI values below 30 indicate oversold conditions (isOversold).
Using the isOversoldExtreme and isOverboughtExtreme, the CSTP algorithm detect extreme over bought and oversold conditions and alert with label color green and red.
Volume Analysis:
The algorithm calculates the average volume over a specified length (averageVolume).
The volume ratio is obtained by dividing the current volume by the average volume.
High volume activity is identified when the volume ratio is greater than 1 (isHighVolume).
Major Flip and Arrow Plots:
Major bullish or bearish flips are identified when EMA1 crosses above EMA2 with RSI values above 50 and high volume activity (isBullishFlip) or when EMA1 crosses below EMA2 with RSI values below 50 and high volume activity (isBearishFlip).
Arrow plots are used to display trend direction, upward arrows for major bullish flips and downward arrows for major bearish flips.
The algorithm calculates the bullBearRatio and RSIValueAtFlip to capture the volume ratio and RSI values at major flips.
The bullishRatio and bearishRatio variables store the volume ratio values for the corresponding trend conditions.
Labels are also displayed on the chart to provide information about EMA values and RSI values. This can be independently disabled by the user
The uniqueness of the CSTP algorithm lies in its combination of trend following analysis, momentum analysis, and volume analysis. By considering these factors, the algorithm provides insights into market sentiment and price action. The use of EMAs, RSIs, and volume ratios allows traders to identify potential trends, overbought/oversold conditions, and high volume activity. The visual representation of bar colors and arrows enhances the ease of understanding the sentiment and major flips. CSTP is uniquely presented by using dots, arrows, candlestick colors, and shape labels to indicate the market scenario. This is explained below.
By leveraging multiple indicators and analysis techniques, CSTP aims to provide traders with a holistic understanding of market dynamics and enhance their decision-making process.
It's important to note that while the individual components used in CSTP are not new or unique on their own, the specific algorithm, parameters, and calculations used within the script are what make it distinctive and valuable. By carefully integrating these components, CSTP generates results that are greater than the sum of its parts, providing traders with a comprehensive analysis of market conditions.
Through extensive research, analysis, and testing, we have created a useful tool, fine-tuned to optimize the accuracy and reliability of the script's output, which can assist traders in making more informed trading decisions.
How to Use:
1. Apply the CSTP Script:
- Apply the CSTP script to your TradingView chart to start analyzing market conditions. (Access instructions can be found in the author's details section.)
- Ensure you have the latest version of TradingView to access all the features and functionalities.
2. Customize Parameters:
- Customize the input variables to match your trading preferences and adapt the tool to different markets.
- Experiment with different settings, such as RSI Length and EMA Lengths, to find the optimal configuration for your trading strategy.
3. Interpret the Color-Coded Bars and Wave Labels:
- Green bars indicate bullish sentiment, suggesting potential buying opportunities.
- Red bars indicate bearish sentiment, indicating potential selling opportunities.
- Blue and white bars represent sentiment backed by smart money liquidity, adding an extra layer of analysis.
- The wave labels provide insights into market structure and potential wave patterns.
4. Combine with Candlestick philosophy strategy and parameters used:
- Wait for candlestick closure before making trading decisions based on CSTP's analysis.
- Consider the EMA (yellow) line as an additional tool to confirm entry or exit points.
- Combining CSTP's analysis with candlestick patterns can enhance your decision-making process and improve trade timing.
- Volume Analysis: Compares the current volume to the Simple Moving Average (SMA) of volume using the RSI Length parameter to determine high-volume periods.
- Color-Coded Bars: The color of the bars represents different market sentiments based on all the parameters used including Relative strength index, bullish and bearish
divergence and volume conditions.
- Open Close Cross (OCC) Alerts: Generates dot alert with color code (red=Bearish, green=Bullish) when there is a crossover or crossunder between the close and open
prices
Important Notes:
- Candlestick color matter a lot as then show the sentiment of the market at a given time. and it is an added advantage for a trader to understand candlestick Psychology.
Candlestick conditions
I will use this BINANCE:MTLUSDT chart to explain how it works
Long green Arrow: Bullish call, with green isBullish arrow
Long red Arrow: Bearish call, with isBearish arrow
Blue with red wick and tape: this indicate a bearish sentiment but with some bullish volume, this position is dice which requires a proper understanding of entry and exit. when if this said candle stick closes below the EMA line, wait for the the next candle after it t determining your move. If the next one closes above it, then the direction is still bullish, else the direction has flipped bearish. (special scenario: in the range or consolidative market phase, you may need to wait 3-7 day candle close before you decide. use the coloration as guide to help with your decision making).
Blue with green wick and tape: this indicated strong bullish sentiment backed by liquidity to push. it is important to not the candle close, if the candle closes above the EMA (7 and/or 21) that validates the move, else, you may need to wait for the next candle close to determine the move and momentum of the market. Example is the $COOMPUST chart
White with green wick and tape: this works just like the "Blue candlestick with red wick and tape". follow same procedure
White with red wick and tape: White candle with red wick, indicates bearish sentiment backed by available market liquidity at the time.
If you see the market moving upward and the candlestick keep closing with white color, it is an indication of inorganic move (Check BITFINEX:SUIUST ) the best thing to do is to wait at resistance. a similar scenario can be seen here
Market test:
below are picture of the indicator tested on different assets
CRYPTOCAP:BNB
AUD
Tesla
it is best to book an entry after an arrow indicate (especially for a bullish market) and the candle closes above the EMA (Yellow line).
Risk management.
- ALWAYS PROTECT YOUR PROFIT WHEN YOU SEE ON. THE MARKET IS DYNAMIC
- Trading involves risks, and no tool can guarantee absolute accuracy in predicting market direction. Conduct thorough research and exercise caution when making trading decisions.
- Apply proper risk management strategies and adjust position sizes according to your risk tolerance.
- Stay updated with market news and events that may impact your trading decisions.
Conclusion:
The Cryptosmart Trading Tool (CSTP) provides traders with a powerful advantage by offering valuable insights into market sentiment and direction. To gain access or trial, refer to the author's details section. This indicator combines various analysis techniques to provide a comprehensive view of the market. Remember to apply your own analysis and expertise in conjunction with CSTP for optimal results.
This indicator combines my 8years of trading experience. Enjoy
Disclaimer:
Trading involves risks, and the CSTP script is designed to assist traders by providing valuable insights. It should be used as a supplement to your own analysis and expertise. Exercise caution and make informed trading decisions based on your own research.
Jimmy's Dikfat DaytraderThis Day Trading Indicator applies the use of multiple techniques designed to maximize profits and trade success probability while utilizing proprietary mathematical techniques to calculate specific high probability Pivot Points, Break of Structure, Supply and Demand, previous days High and Low, Liquidity Hunts, Dynamic Trend Lines and Fibonacci Discount Zones. The combination of these techniques combined with unique mathematical calculation & variance allow the user to make an informed analysis to take high probability trades by exposing Market Maker discount zones and highlight smart money purchasing.
Pivot Points: A traditional pivot point is described as an individual candle high that is higher than the previous two candles to the left and forward two candles to the right. Likewise a pivot is also an individual candle low that is lower than the previous two candles to the left and forward two candles to the right. In this indicator standard pivots are highlighted as yellow and white candles. Yellow candles are High or Top Pivots; White Candles are Low or Bottom Pivots. The number of pivots checked for either left or right or both can be changed in the settings. Increasing this value will add more pivot points to the chart, decreasing this value will add less. It is recommended to change values left and right with the same number.
Note: In this study, all traditional pivots will be highlighted by yellow or white for the advanced user, but not all pivot markers will highlight all pivots for the purposes of identifying a high probability trade.
Break of Structure: Break of structure occurs when current price drops below or likewise rises above a pivot point. For the purposes of this study, a break of structure tag will appear over a previous pivot tag ONLY when there is a candle close below or above the previous pivot for the purposes of identifying liquidity hunts and high probability trades. As you will note in the example chart, break of structure is used to determine not only trend but high probability trade areas by identifying market structure. Unbroken pivot highs or lows can be used to take trades, with a stop below the low (or above the high) of the unbroken pivot candle. BOS (Break of Structure) Tags will effectively show where market participants do not want to take a trade and be chopped up in a market that is trending only 30% of the time. BOS also gives future indication of where the Market Makers are taking price action. Breaks of structure in a particular direction typically indicate a continuation of price action in that direction. Trade opportunities occur after the pullback in the opposite direction of break of structure. This highlights areas traders can take on the pullback, in the direction of structure breaks, typically on unbroken pivots.
Note: In this study, not all BOS (Break of Structure) markers will highlight all breaks of structure for the purposes of identifying a high probability trade. Some very few examples of structure is not marked as broken to assist in identifying Liquidity Hunts.
Liquidity Hunt: A Liquidity Hunt is where price action moves in the opposite direction of an intended move (typically with high magnitude and velocity) to gather "Liquidity" and trigger stops created by traders caught in the break of structure zone. Any unbroken pivot is a relevant area of Liquidity. Some of the High probability areas of Liquidity will be found at Equal (or near equal) Lows or Equal High pivots. Current areas of Liquidity are marked on the chart as an Aqua (Light Blue) Background line that extends right infinitely. Once Liquidity has been taken at one of these lines, the Line will "Break" And stop displaying forward. The number of pivots calculated specifically for break of structure and Liquidity Hunts can be changed under the Liquidity Hunt setting. Much like with pivots, it is recommended to change these numbers with the same value for best results.
Due to the complexity of the math, Some liquidity pivots will only confirm and display a pivot tag after twice the candles defined have been found to the left and right under liquidity hunt settings, and some will display after the exact number specified in settings. As noted previous some will not display at all due to the high probability nature of this indicator and having been found as a "cluster" in the Supply and Demand Boxes.
Supply and Demand Boxes: Supply and Demand boxes will be created when a specific number of pivots are found in succession or in a "cluster" and a box will be drawn from the current grouping of pivots, first pivot high to the nearest pivot low in the cluster. This unique style of supply and demand box drawing has been proven to be an effective identifier of buying and selling in the price action, or likewise support or resistance upon return to these boxes. The boxes were specifically designed to identify high probability areas of Supply and Demand and are more likely to be areas of high probability buying and selling. Supply is when price action moves into or creates an area where sellers are waiting. Demand is when price action moves into or creates an area where Buyers are waiting. When price action creates a box, the box will remain Neutral with a white color while Price action remains within the box. This box will turn Red or into a Supply Box, when price action drops below the box boundaries. The box will likewise turn Green or into a Demand Box, when price action rises above the box boundaries. Any return to a colored box from the direction it was created could be anticipated as a retracement to continue in the direction of price action indicated by the box.
In the settings boxes can be extended to the current bar right to show previous areas of supply and demand, or can be left "Truncated" or in box form as a highlighter for cluster analysis.
Previous Days High and Low: The previous days High and low will be displayed on the current day as a magenta line. Some traders use these lines to anticipate price action on the day compared to where price action is moving relative to the previous day. Historical Magenta lines are also the marked on a specific day, for the previous days High and low. Historical Lines can be turned off by reducing Opacity of the setting to Zero, leaving only the previous days high and low on the current day.
Dynamic Trend Lines: Trend Lines will be created automatically that will connect unbroken pivots and extend right, highlighting the current trend. (Coming Soon™️)
Fibonacci Discount Zone: The Fibonacci Discount Zone can be found by measuring an unbroken pivot High or Low, that breaks structure left to create a new High or Low. When structure is broken and price begins a retracement before moving back in the direction of the broken structure, the retracement is typically back into the "Discount Zone" between the 618 and 786 Fibonacci zone. This zone will be automatically plotted as a light grey box in the background of the chart. (Coming Soon™️)
Dynamic Liquidity Levels [CDC Trading LABN] (ENGLISH)Script Description :
Take your market structure and liquidity analysis to the next level with Dynamic Liquidity Levels, a professional-grade tool designed to visualize the key levels that truly move the price. This indicator doesn't just plot static lines; it offers a dynamic framework that reacts to price action in real-time, keeping your chart clean and focused on what matters.
Designed for scalpers and swing traders alike, this indicator is your map for navigating market liquidity.
Key Features
• Smart Dynamic Lines: The standout feature of this indicator. Lines automatically stop extending once price has "invalidated" them. You decide whether the break occurs on a simple wick touch (to capture liquidity grabs) or a full candle close beyond the level (for a stronger confirmation).
• Comprehensive Liquidity Levels: Automatically draws the most important liquidity pools that professional traders watch every day:
• HTF Levels: Previous Day, Week, and Month Highs & Lows (PDH/L, PWH/L, PMH/L).
• Session Levels: Asian, London, and New York Session Highs & Lows (ASH/L, LSH/L, NYH/L).
• Full Label Control: Forget about overlapping labels. Adjust the position of each label individually (Left, Right, Center, Upper, Lower) for perfect visual clarity in any market condition.
• Instant, Configurable Alerts: Never miss an opportunity. Set up alerts that trigger the moment a level of your choice is broken, helping you execute your trades with precision.
• Clean & Professional Visualization: Fully customizable. Adjust colors, line width, and decide whether to display exact prices in the labels for an analysis setup tailored to your style.
Who is This Indicator For?
This tool is essential for a wide range of trading methodologies:
• Smart Money Concepts (SMC) & ICT Traders: Perfect for identifying liquidity pools and draw on liquidity levels. Use it to frame your order blocks and points of interest.
• Candle Range Theory (CRT) Traders: This indicator automates the core of your analysis. It identifies and projects the key candle ranges from higher timeframes (Daily, Weekly, Monthly) and trading sessions. Use these levels to anticipate price expansion and identify liquidity targets above and below established ranges, without manual markup every day.
• Price Action Traders: Clearly and automatically visualize the most relevant support and resistance levels based on high-timeframe market structure.
• Day Traders & Scalpers: Make quick decisions based on previous day's levels and session highs/lows, which act as magnets for intraday price.
• Swing Traders: Use the weekly and monthly levels to get a macro view of the structure and plan longer-term trades.
How to Use
1. Add the indicator to your chart.
2. Explore the settings panel to enable the levels and alerts that fit your trading plan.
3. Adjust the label positions for maximum clarity.
4. To receive alerts, right-click on the chart, create a new alert, select the indicator from the dropdown, and choose the "Any alert() function call" option.
We hope this tool greatly helps you improve your market analysis.
Happy trading!
CDC Trading LABN
