STIC bullish and bearish hunter with FVGSmart Trading and Investment Companion (STIC) is a sophisticated tool designed to identify and visualize inducement, market structure, market trends, track liquidity, and project and forecast price action for all applicable assets. it has been tested to work on all timeframes and has been traded on stock, forex, and crypto assets.
This script is an upgraded version of previous STIC indicator, which you can use in addition to it or separately as you deem fit
Traders/ investor that are familiar with market structure, inducement, candlestick psychology, trend-following indicatorsand Fair Value Gap FVG will find it easy to adopt this trading and investment companion. As stated below, this is how it works.
Features and how to use
1st of all, after adding the indicator to yoursuperchart, you want to endusre to set your to so as to enable you see the text labeling clearly. to do that, after adding the indicator to your chart, right click it on the list, you will se the Visual order option.
Special Extreme Alert!
By analyzing the trends and dimensions, we are able to predict market extremes conditions, especially in pump and dump scenarios. (the bullish or bearish P/D extreme alerts).
Market flip arrow
The arrows trigger to indicate when the market flips to bullish (green) or bearish (red) conditions. note that this arrow is just a market flip confirmation and it it triggered by market trends, it does not come one time and sometimes later after market trigger conditions had been met.
circled in white.
Buy or sell potential {The tiny yelow(sell) and blue(buy) triangle}
By analyzing market extreme conditions, market sentiment, and liquidity, the buy/sell potential alert trigger is able to determine the state of the market, This can and should be used in combination with the market flip line (MFL) [the yellow line from , market flip trigger (MFT) (purple line), and market support/resistance line (MSR)(blue line) .
Market flip Line (Blue line) (MFL): the MFL is useful to also understand the market phase; a candle close above the MFL is bullish, while a candle close Below, the MFL is bearish. You are, however, expected to experience market retests and rejections coupled with support and resistance to follow through with the predicted direction. Patience is a valuable virtue in trading.
Extended sell or buy hunt (Red and Green Triangle)
this is real-time triangles indicator just like every other indicator on theis chart that indicates the market direction labeled with buy and sell. Note that the market-extended extreme can occur multiple times in the same direction. Hence, we'll advise having multiple trade entries.
The flip support line
Market Flip Trigger Line (MFTL) (Magenta): When the market crosses and closes below or above the Market Flip Trigger Line, you should wait for a confirmation. a confirmation is usually a retest or rejection of the line. A candle close and reject indicates the market as flip direction and it is going for a correction or major reversal. it is applicable on all timeframe.
As mentioned earlier, if you understand market structure and sentiment, using the uFVG, iFVG, upLQTY, downLQTY and BOS will be easy. however, this is how it works, you may need tohave and expanded readbout market structure for additional knowledge.
upLQTY (Bullish liquidity inducement)
The indicator appear at the close and confirmation on the 3rd candle and it is extended to only appear on 200 bars applicable on all timeframes.
This is a bullish sentiment and liquidty inducement order block that occurs, leading to the break of trend structure and change of character. Meaning the market sentiment as change which is backed up by liquidity in that region, which mostly gets filled, especially on lower timeframes before the price action continues. If price revese breaks and hold above this region, it invalidates the order block. This will always appear when there is a confirmed change of character CHoCH to the bullish side.
downLQTY (Bearish liquidity inducement) The indicator appear at the close and confirmation on the 3rd candle and it is extended to only appear on 200 bars applicable on all timeframes. It is and inverse of the upLQTY.
like order block, these are supply and demand zones that has the potential to change the direction of a trade. This is a bearish order block that occurs, leading to the break of structure and change of character. Meaning there is bearish liquidity yet to be accounted for in the region, which mostly gets filled, especially on lower timeframes before the price action continues. If broken, it invalidates the order block. This will always appear when there is a confirmed change of character from CHoCH to the bearish side.
Fair Value Gap
From general knowledge, FVG also know as Fair value gaps are inbalnace created by a 3 candlestick pattern where the top of the bottom candles doesn't cross the bottom of the top candle. like order block, these are supply and demand zones that has the potential to change the direction of a trade. This mostly indicate the presense of big plays in the market. for STIC indicator, FVG are labeled as listed below;
UFVG, also FVGup, {Colour green box} = bullish imbalance fair value gap
IFVG, aka FVGdown, {Red box} = bearish imbalance fair value gap
OIFVG, {Yellow box, no label} = other imbalances fair value gab
You should not that FG has upper, lower and middle band, any of the this area can be induced and filled by price.
Alert Conditions!
Buy alert conditions
- Any bullish buy alert
- Bullish hunt
- Re-entry Buy
- Sharp Market Sell rejection
- Buy potential
- upLQTY
Long position Exit conditions
- ExtremeB
- Profit
- Sell hunt
The Entry, exit and trail profit alert trigger should be used as position exit conditions either for a Long (Buy) or Short (Sell) situation and should be set as OPB (Once Per Bar). Using it as entry for exit or vice versa as shown not to be very profitable. hence the need to combine with other order entry alerts like the Any bullish or Bearish alerts
Sell alert conditions ( NOTE: All Sell alert are not yet included in this current version as this is targeted towards bullrun.)
- Sell potential
- Sell triangle (Sell hunt)
- downLQTY
and any trail profit alert, this alert put into consideration all the conditions required to trail profit.
Risk management advice
Patience and a good risk management strategy are required to be profitable trader using this tool. You need to ensure not to overleverage, and you should have multiple entries in case the buy coditions/alert shows again below the previous buy alert before a sell condition/alert occurs.
Recherche dans les scripts pour "liquidity"
Market Structure with Inducements & Sweeps [LuxAlgo]The Market Structure with Inducements & Sweeps indicator is a unique take on Smart Money Concepts related market structure labels that aims to give traders a more precise interpretation considering various factors.
Compared to traditional market structure scripts that include Change of Character (CHoCH) & Break of Structures (BOS) -- this script also includes the detection of Inducements (IDM) & Sweeps which are major components of determining other structures labeled on the chart.
SMC & price action traders have historically considered this a more accurate representation of market structure by including these components.
🔶 USAGE
Below we can see a diagram for how market structure is displayed within the Market Structure with Inducements & Liquidity indicator.
Change of Characters (CHoCH) are based on swing points detection, while Break of Structures (BOS) are based on trailing maximum & minimums from the detected Change of Characters. We do this for a more dynamic & timely display of market structure.
🔹 Inducements (IDM)
Traders that consider inducements as a part of their analysis of Change of Characters & Break of Structures can more easily avoid fakeouts within trends as shown below.
In this script IDM's are always required between each market structures.
🔹 Sweeps of Liquidity (x)
SMC traders looking to properly analyze market structure need to look for sweeps of liquidity to ensure levels that are wicked are noted as sweeps, while levels that are fully closed above / below are labeled as confirmed market structures.
In the chart below we can see a Sweep of Liquidity which typically can occur on the longer term price action and indicate a potential reversal.
Notably, since labels such as CHoCH or BOS's can occur at the same level as a Sweep of liquidity, we have allowed the indicator to display the market structure label at the current bar in the event this happens.
The Sweeps of Liquidity are also based on trailing maximum / minimum, which allows for a continuous evaluation of areas for liquidity sweeps to occur.
This can be helpful for traders looking for longer term & shorter term sweeps.
🔶 SETTINGS
CHoCH Detection Period: Detection period for CHoCH's, higher values will return longer term CHoCH's.
IDM Detection Period: Detection period for IDM's, higher values will return longer term IDM's.
Thank you all for 500k followers on TradingView! Enjoy!
BigBeluga - Smart Money ConceptsSmart Money Concepts (SMC) is a comprehensive toolkit built around the around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
SMC transcends traditional technical analysis by delving deeper into this framework. This approach allows users to decipher the actions of these influential players, anticipate their potential impact on market dynamics, and gain insights beyond just price movements.
This all-in-one toolkit provide the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
🔹Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
🔹Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
🔹Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit
🔹Swing failure patterns help traders identify potential entry points and rejection zones based on price swings
🔹Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edger to make informed trading decisions based on multi-timeframe liquidity dynamics
🔶 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Discount/Premium zone
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔶 BASIC DEMONSTRATION
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
Dotted lines: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
🔶 USAGE & EXAMPLES
The image above showcases a detailed example of several features from our toolkit that can be used in conjunction for a comprehensive analysis.
Price rejecting from the bullish order block (POC), while printing inside a bullish SFP and internal structure turning bullish (Internal CHoCH).
The image further demonstrates how two bearish order blocks could potentially act as resistance zones when prices approach those levels. These areas might also offer attractive locations to place take-profit orders.
The price has reached our first take-profit level, but is exhibiting some signs of weakness, suggesting a potential pullback which could put the trade at higher risk.
On the other hand, the price action currently exhibits strong bullish sentiment, suggesting favorable entry points and a potential upward trend.
The price has now fully reached our take-profit zone and is also exhibiting bearish confluence, indicating a potential price reversal or trend shift.
🔶 USING CONFLUENCE
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
In the image above we can see a few examples of the indicator used in confluence with other metrics included in the toolkit.
Liquidity Prints within order blocks
SFP close to the POC
Sweep in liquidity close to a fair value gaps
These are just a few examples of what applying confluence can look like.
🔶 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Internal: a period of the beginning of the internal structure
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Premium / Discount: Lookback period of the pivot point calculation
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick- avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal h&L: (short-mid-long term) display longer term
Any Alert(): Trigger alerts based on the selected inputs
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.
Price Action Toolkit | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Price Action Toolkit indicator! Price Action Toolkit integrates key level strategy , traditional supply-demand analysis , and market structures to help traders in their decisions. Now with features that are available to use in multiple timeframes!
Features of the new Price Action Toolkit indicator :
Volumized Fair Value Gaps (FVGs)
Volumized Order & Breaker Blocks
Identification of Market Structures
Equal Highs & Lows
Buyside & Sellside Liquidity
Premium & Discount Zones
MTF Highs & Lows (Daily, Weekly, Monthly, Pre-Market)
Customizable Settings
📌 HOW DOES IT WORK ?
We believe that the analytical elements that are within this indicator work best when they co-exist with each other on the chart. Trading often requires taking multiple elements into consideration for better accuracy on market analysis. Thus, we combined some of the useful strategies in one indicator for ease of use.
1. Volumized Fair Value Gaps
Fair value gaps often occur when there is an imbalance in the market, and can be spotted with a specific formation on the chart.
The volume when the FVG occurs plays an important role when determining the strength of it, so we've placed two bars on the FVG zone, indicating the high & low volumes of the FVG. The high volume is the total volume of the last two bars on a bullish FVG, while the low volume is - of the FVG. For a bearish FVG, the total volume of the last two bars is the low volume. The indicator can also detect FVGs that exist in other timeframes than the current chart.
2. Volumized Order Blocks
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart.
The high & low volume of order blocks should be taken into consideration while determining their strengths. The determination of the high & low volume of order blocks are similar to FVGs, in a bullish order block, the high volume is the last 2 bars' total volume, while the low volume is the oldest bar's volume. In a bearish order block scenerio, the low volume becomes the last 2 bars' total volume.
3. Volumized Breaker Blocks
Breaker blocks form when an order block fails, or "breaks". It is often associated with market going in the opposite direction of the broken order block, and they can be spotted by following order blocks and finding the point they get broken, ie. price goes below a bullish order block.
The volume of a breaker block is simply the total volume of the bar that the original order block is broken. Often the higher the breaking bar's volume, the stronger the breaker block is.
4. Market Structures
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
5. Equal Highs & Lows
Equal Highs & Lows occur when there is a significant amount of difference between a candle's close price and it's high / low value, and it happens again in a specific range. EQH and EQL usually mean there is a resistance that blocks the price from going further up / down.
6. Buyside & Sellside Liquidity
Buyside & Sellside Liquidity zones are where most traders place their take-profits and stop-losses in their long / short positions. They are spotted by using high & low pivot points on the chart.
7. Premium & Discount Zones
The premium zone is a zone that is over the fair value of the asset's price, and the discount zone is the opposite. They are formed by the latest high & low pivot points.
8. MTF Highs / Lows
MTF Highs / Lows are actually pretty self-explanatory, you can enable / disable Daily, Weekly, Monthly & Pre-Market Highs and Lows.
🚩UNIQUENESS
Our new indicator offers a comprehensive toolkit for traders, combining multiple analytical elements with customizable settings to aid in decision-making across different market conditions and timeframes. The volumetric information of both FVGs and Order & Breaker Blocks will be present in your chart to serve you greater detail about them. The indicator also efficiently identifies market structures, liquidity zones and premium & discount zones to give you an insight about the current state of the market. And finally with the use of multiple timeframes , you can easily take a look at the bigger picture. We recommend reading the "How Does It Work" section of the descripton to get a better understanding about how this indicator is unique to others.
⚙️SETTINGS
1. General Configuration
Show Historic Zones -> This will show historic Fair Value Gaps, Order & Breaker Blocks and Sellside & Buyside liquidities which are expired.
2. Fair Value Gaps
Enabled -> Enables / Disables Fair Value Gaps
Volumetric Info -> The volumetric information of the FVG Zones will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Order Blocks
Enabled -> Enables / Disables Order Blocks
Volumetric Info -> The volumetric information of the Order Blocks will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for Order Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
4. Breaker Blocks
Enabled -> Enables / Disables Breaker Blocks
Volumetric Info -> The volumetric information of the Breaker Blocks will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for Breaker Block Invalidation.
5. Timeframes
You can set and enable / disable up to 3 timeframes. Note that only higher timeframes than the current chart will work.
6. Market Structures
Break Of Structure ( BOS ) -> If the current structure of the market is broken in a bullish or bearish direction, it will be displayed.
Change Of Character ( CHoCH ) -> If the market shifts into another direction, it will be displayed.
Change Of Character+ ( CHoCH+ ) -> This will display stronger Change Of Characters if enabled.
7. Equal Highs & Lows
EQH -> Enables / Disables Equal Highs.
EQL -> Enables / Disables Equal Lows.
ATR Multiplier (0.1 - 1.0) -> Determines the maximum difference between highs / lows to be considered as equal. Lower values will result in more accurate results.
8. Buyside & Sellside Liquidity
Zone Width -> Determines the width of the liquidity zones, 1 = 0.025%, 2 = 0.05%, 3 = 0.1%.
9. Premium & Discount Zones
Enabled -> Enables / Disables Premium & Discount Zones.
10. MTF Highs / Lows
You can enable / disable Daily, Weekly, Monthly & Pre-Market Highs and Lows using this setting. You can also switch their line shapes between solid, dashed and dotted.
Central Bank Liquidity YOY % ChangeThis shows the percent change from a year ago (YOY%) in Central Bank Liquidity
It's important to the study rate of change data in this liquidity metric and compare it to the nominal chart.
When this chart is accelerating, liquidity is being added, meaning it's a good time to be in assets.
When this chart is declining, liquidity is being removed, meaning it's a good time to be in cash.
Bottoms in markets coincide with the rate of change of liquidity going from negative (below the zero line) to positive (above zero)
Central Bank Liquidity = Total value of the assets of all Federal Reserve Banks - Overnight Reverse Repurchase Agreements (RRP) - The Treasury General Account (TGA)
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.
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.
Liquidation Levels v2 [LG]The main premise of this indicator is to identify when large cryptocurrency futures positions are opened, and then plot the liquidation levels of those positions. Market makers know this data and tend to push price towards these levels, as there is guaranteed liquidity at or approaching those levels.
Remember, we want to buy when others are forced to sell, not when they want to sell, and vice versa. Whales want to position, but need to do so in areas of larger liquidity, as they want to minimize slippage and detection as much as possible.
This indicator is very useful during times of chop, when the market is taking liquidity anywhere it exists as whales are forcing retail players out of their positions.
This indicator will also plot where positions with a total value in excess of the user-defined threshold are opened or closed, so you are able to better gauge how market participants are reacting to price levels.
Commonly used leverage levels are 100x, 50x, and 25x, but can be adjusted by the user depending on what they are noticing is attracting price levels.
This indicator is recommended for use on the 1 minute chart of the Binance BTCUSD perpetual contract pair. This will allow for as much precision as possible for the majority of users. Note: The only supported coin at this point is BTC - other coins to follow soon.
SUMMARY
1) View liquidation levels of large positions opened
2) View exact moments where large positions are opened or closed
3) Gauge available liquidity to upside or downside to better assist in determining longer term reversal points
COMING SOON
1) Additional coins
2) VPVR inspired vertical histogram or other visualization tool summarizing total available liquidity at specific price level
3) Total delta of available long and short liquidity
4) Push notifications when price takes liquidity
5) Requests as outlined in the comments
This indicator was inspired by the Hyblock Capital liquidation levels and offers an improvement upon the popular existing Liquidation Levels indicator by mlapplications.
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
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically.
This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity.
Key Features
Automatically adjusts to your chart’s local timezone
Highlights Asian, London, and New York sessions with clean color zones
Works on all timeframes and asset classes
Ideal for Smart Money Concepts (SMC), ICT, and price action strategies
Helps identify range breakouts, session highs/lows, and liquidity grabs
How It Works
Each session box updates in real time to show the current range as the market develops.
The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions.
Sessions (default times):
Asian: 17:00 – 03:00
London: 02:00 – 11:00
New York: 07:00 – 16:00
How to Use
Add the indicator to your chart.
Ensure your chart timezone matches your local time in chart settings.
Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York).
Created by FOREXSOM
Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
Volume Bubbles & Liquidity Heatmap 30% + biasLuxAlgo gave us an open script, I just primmed it up with the use of Chat GPT:There is no single magic number (like “delta must be 800”) that will guarantee directional follow-through in every market. But you can make a mathematically rigorous filter that gives you a high-probability test — by normalizing the delta against that market’s typical behavior and requiring multiple confirmations. Below is a compact, actionable algorithm you can implement immediately (in your platform or spreadsheet) plus concrete thresholds and the math behind them.
High-IQ rule set (math + trade logic)
Use three independent checks. Only take the trade if ALL three pass.
1) Z-score (statistical significance of the delta)
Compute rolling mean
𝜇
μ and std dev
𝜎
σ of delta on the same timeframe (e.g. 5m) over a lookback window
𝑊
W (suggest
𝑊
=
50
W=50–200 bars).
𝑍
=
delta
bar
−
𝜇
𝑊
𝜎
𝑊
Z=
σ
W
delta
bar
−μ
W
Threshold: require
𝑍
≥
2.5
Z≥2.5 (strong) — accept 2.0 for less strict, 3.0 for very rare signals.
Why: a Z>=2.5 means this delta is an outlier (~<1% one-sided), not normal noise.
2) Relative Imbalance (strength vs total volume)
Compute imbalance ratio:
𝑅
=
∣
delta
bar
∣
volume
bar
R=
volume
bar
∣delta
bar
∣
Threshold: require
𝑅
≥
0.25
R≥0.25 (25% of the bar’s volume is one-sided). For scalping you can tighten to 0.30–0.40.
Why: a big delta with tiny volume isn’t meaningful; this normalizes to participation.
3) Net follow-through over a confirmation window
Look ahead
𝑁
N bars (or check the next bar if you need intrabar speed). Compute cumulative delta and price move:
cum_delta
𝑁
=
∑
𝑖
=
1
𝑁
delta
bar
+
𝑖
cum_delta
N
=
i=1
∑
N
delta
bar+i
price_move
=
close
bar
+
𝑁
−
close
bar
price_move=close
bar+N
−close
bar
Thresholds: require
cum_delta
𝑁
cum_delta
N
has the same sign as the trigger and
∣
cum_delta
𝑁
∣
≥
0.5
×
∣
delta
bar
∣
∣cum_delta
N
∣≥0.5×∣delta
bar
∣, and
price_move
price_move exceeds a minimum meaningful tick amount (instrument dependent). For ES / US30 type futures: price move ≥ 5–10 ticks; for forex pairs maybe 10–20 pips? Use ATR
20
20
×0.05 as a generic minimum.
Why: separates immediate absorption (buy delta then sellers soak it) from genuine continuation.
Bonus check — Structural context (must be satisfied)
Trigger should not occur against a strong structural barrier (VWAP, daily high/low, previous session POC) unless you’re explicitly trading exhaustion/absorption setups.
If signal occurs near resistance and price does not clear that resistance within
𝑁
N bars, treat as probable trap.
Putting it together — final trade decision
Take the long (example):
If
𝑍
≥
2.5
Z≥2.5 and
𝑅
≥
0.25
R≥0.25 and cum_delta_N confirms and no hard resistance above (or you’re willing to trade absorption), then enter.
Place stop: under the low of the last 2–3 bars or X ATR (instrument dependent).
Initial target: risk:reward 1:1 minimum, scale out at 1.5–2R after confirming further delta.
Concrete numeric illustration using your numbers
You saw FOL = 456, then sell reaction with ~350 opposite. How to interpret:
Suppose your 5-min rolling mean
𝜇
μ = 100 and
𝜎
σ=120 (example):
𝑍
=
(
456
−
100
)
/
120
≈
2.97
⇒
statistically big
Z=(456−100)/120≈2.97⇒statistically big
So it passes Z.
If volume on that bar = 2000 contracts:
𝑅
=
456
/
2000
=
0.228
⇒
just below 0.25 threshold
R=456/2000=0.228⇒just below 0.25 threshold
So it fails R (weak participation proportionally), explaining why 456 alone didn’t move price.
Seller came back with 350 opposite soon after — check cum_delta_N:
cum_delta
𝑛
𝑒
𝑥
𝑡
3
≈
456
−
350
=
106
net
cum_delta
next3
≈456−350=106 net
Net is small relative to the initial spike — not convincing follow-through.
Conclusion: despite a big absolute number (456), relative measures and lack of follow-through meant the move failed. That’s exactly why raw numbers alone are unreliable.
Advanced refinement (for elite performance)
Use rolling median + MAD instead of mean/std if delta distribution is skewed.
Scale Z by volume volatility: divide Z by
volume
bar
/
volume
‾
volume
bar
/
volume
to penalize low-volume bars.
Use a signed cumulative delta over micro-windows: compute windowed cumulative delta standardized:
𝑍
cum
=
∑
𝑖
=
0
𝑀
−
1
delta
𝑡
−
𝑖
−
𝑀
𝜇
𝑀
𝜎
Z
cum
=
M
σ
∑
i=0
M−1
delta
t−i
−Mμ
and require
𝑍
cum
≥
3
Z
cum
≥3 for very high confidence.
Add market-depth / DOM confirmation (if available): require that resting ask size above is less than resting bid size below by a factor (i.e. visible liquidity supports the move).
Practical thresholds to start with (tune per instrument)
Lookback
𝑊
W: 100 bars (5m → about a trading day)
Z threshold: 2.5
Imbalance ratio
𝑅
R: ≥ 0.25 (tighten to 0.30 for scalping)
Confirmation window
𝑁
N: next 1–3 bars for intraday scalps; 3–6 bars for short swings
Cum delta confirmation: ≥ 0.5 × initial delta and same sign
Price move confirmation: ≥ 0.03 × ATR20 (or set absolute ticks per instrument)
TL;DR — the single best rule
Don’t chase absolute numbers. Use Z-score of delta + delta/volume ratio + real follow-through. If all three align, odds are heavily in your favor.
If you want, I can:
give you a tiny script (pseudocode or Pine / Python) that computes Z, R, cum_delta_N and flags qualifying bars, or
run the calculation on a sample of your recent bars if you paste a small CSV of time, delta, volume, close.
Which do you want? (I’ll give code right away.)
You said:
give me a percentage of difference where we have a high probability
ChatGPT said:
Thought for 7s
Nice — straight to the point. Here’s a concise, practical set of percentage thresholds (and associated confidence estimates) you can use right now to flag a “high probability” delta signal. I’ll give you three tiers (good / strong / elite), explain what each means, show how to compute it, and give a short example using your 456/2000 bar.
One-line rule
Compute delta percent
𝑃
=
∣
delta
∣
volume
×
100
%
P=
volume
∣delta∣
×100%.
Then require Z-score of delta ≥ 2.5 and P to be at or above the threshold below for the desired confidence tier.
Threshold tiers (percent of bar volume)
Good (high-probability trade candidate)
P ≥ 20–25%
Typical success probability (when combined with Z≥2.5 and no hard structural resistance): ~60–70%.
Use when you want a steady flow of signals with decent edge.
Strong (high confidence)
P ≥ 30–35%
Typical success probability: ~70–80% (with Z≥2.5 + structural alignment).
Fewer signals, higher win-rate. Good default for intraday.
Elite (very high probability / low false positives)
P ≥ 40–50%
Typical success probability: ~80–90% (with Z≥3 and confirmation).
Rare signals. Use for meaningful size or when you need maximum certainty.
Why percentage matters (short)
Absolute delta (456) is meaningless without volume context. A 456 delta on 2,000 volume → P = 456/2000 = 22.8% → sits just below the Good threshold, which matches why it failed: decent but not dominant participation.
Additional required checks (don’t skip these)
To turn P into a reliable filter, always require:
Z-score of the delta ≥ 2.5 (or ≥3 for Elite signals).
No immediate structural barrier (VWAP, strong resistance) that would plausibly absorb the order.
Follow-through: within next N bars (N = 1–3 for scalps) price moves in the same direction by ≥ 0.03×ATR20 (or instrument-specific tick threshold). If this fails, cut fast.
Combine all three and your realized win-rate will approach the probabilities above.
Practical quick checklist (to apply each signal)
Compute P = |delta|/volume. Is P ≥ 30%? (or your chosen tier)
Compute Z = (delta − mean)/std over last 100 bars. Is Z ≥ 2.5?
Is price not pinned under a heavy resistance?
Enter on next bar close (or intrabar on continuation), stop under last 2-bar low (for longs).
If price fails to move ≥ 0.03×ATR20 within 3 bars, exit.
Example (your bar)
delta = 456, volume = 2000 → P = 22.8% → below Good threshold (25%).
Even if Z was high, P failed — explains the failure. You need P ≥ ~30% plus Z≥2.5 to call it a Strong signal.
Final notes (instrument & timeframe)
These percentages were calibrated for futures/US indices and short intraday bars (1–5m).
For FX or low-tick instruments, use absolute ticks + a smaller P threshold (start at 15–20%).
Always backtest on the specific instrument/timeframe and tune thresholds.
If you want, I’ll generate a tiny script (Python or Pine) that calculates P and Z and flags Good/Strong/Elite signals for your chart history so you can see exact historical hit rates. Which language (Python or Pine)?
You said:
so if we have 456 g vs 350 r what pct is that in favour of green?
ChatGPT said:
Perfect — let’s calculate it carefully, digit by digit so we don’t make a slip.
We have:
Green (buy) volume = 456
Red (sell) volume = 350
We want to know what percentage is in favor of green, relative to the total volume.
Step 1. Compute total volume
Total
=
456
+
350
=
806
Total=456+350=806
Step 2. Compute green’s share
\text{Green %} = \frac{456}{806} \times 100
Now do it precisely:
456
÷
806
=
0.565506
456÷806=0.565506 (rounded)
So:
0.565506
×
100
=
56.55
%
0.565506×100=56.55%
Step 3. Compute red’s share (for context)
350
806
=
0.434494
→
43.45
%
806
350
=0.434494→43.45%
Step 4. Compute difference (bias toward green)
56.55
%
−
43.45
%
=
13.10
%
56.55%−43.45%=13.10%
✅ Final answer:
Green = 56.6% of total
Red = 43.4% of total
Bias = +13.1 percentage points in favor of green
So that’s only a 13% advantage to buyers — modest pressure, not a dominant imbalance.
For a high-probability signal (as we discussed earlier), you generally want ≥30% imbalance (e.g. ~65/35 split or stronger).
Original:
''The Volume Bubbles & Liquidity Heatmap indicator is a powerful trading tool designed to give traders a clearer picture of volume dynamics and liquidity distribution across multiple timeframes. By combining dynamic volume bubbles with a liquidity heatmap, this indicator makes it easy to identify areas of price interest, spot market imbalances, and improve decision-making for both scalpers and swing traders.
This trading indicator is ideal for volume traders, price action traders, and liquidity-focused traders who need a clean, multi-dimensional view of buyer/seller activity and the zones where market participants are most active. With full customization over bubble display, timeframes, and visual settings, traders can tailor the tool to fit virtually any trading strategy or market.''
BSL/SSL This indicator automatically detects and highlights Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) zones based on swing highs and swing lows, following the ICT (Inner Circle Trader) liquidity concept.
Instead of large rectangles or extended zones, this version marks liquidity pools with clean, compact boxes, allowing traders to clearly visualize where stops and resting orders are likely accumulated — without cluttering the chart.
DAMMU Buy vs Sell Liquidity + DifferenceIndicator Name:
Buy vs Sell Liquidity + Difference
Purpose:
This indicator helps traders analyze market liquidity by comparing the cumulative buy and sell volumes within a specified timeframe. It shows which side (buyers or sellers) is dominating and the magnitude of the imbalance.
Key Features:
Aggregation Timeframe:
Users can select the timeframe (1, 2, 3, 5, 15, 30 minutes) for which volume is analyzed.
Buy & Sell Volume Calculation:
Buy Volume: Total volume of candles where close > open.
Sell Volume: Total volume of candles where close < open.
Daily Reset:
Totals reset at the start of each new day, ensuring intra-day liquidity analysis.
Difference Calculation:
Shows the absolute difference between buy and sell volumes.
Also calculates the difference as a percentage of total volume.
Percentages:
Displays buy %, sell %, and diff % to 4 decimal places, giving precise insights.
Table Display:
A two-row table in the top-right corner of the chart:
Row 1: Absolute totals for BUY, SELL, and DIFF (full numbers with commas).
Row 2: Percentages for BUY, SELL, and DIFF (4 decimals).
Uses color coding: Green for BUY, Red for SELL, Dynamic for DIFF (based on dominance).
How to Use:
High Buy Volume: Indicates strong buying pressure; bullish sentiment.
High Sell Volume: Indicates strong selling pressure; bearish sentiment.
Large DIFF %: Signals dominant market side; useful for short-term scalping or spotting liquidity imbalance.
Comparing BUY vs SELL %: Helps identify when the market may reverse or continue the trend.
If you want, I can also make a 1-paragraph “trader-friendly” explanation that you could directly include in your Pine Script as a comment or in a strategy guide.
🎯 Advanced ST Pro-X-J-Algo🎯 Advanced ICT Concepts Suite
A comprehensive visualization tool for Inner Circle Trader (ICT) market structure concepts with anti-repainting technology.
Overview
This indicator combines multiple ICT-based market structure concepts into a single, configurable tool. It provides visual identification of liquidity zones, order blocks, fair value gaps, and trading session boundaries. The indicator includes advanced anti-repainting controls to ensure historical accuracy.
Key Features
📦 Order Blocks
Identifies institutional order zones based on swing structure
Tracks mitigation levels with customizable violation methods
Adjustable overlap filtering and display limits
💧 Liquidity Analysis
Standard timeframe liquidity sweeps (buyside/sellside)
Higher timeframe liquidity levels with multi-timeframe analysis
Session-based liquidity zone classification
🔲 Fair Value Gaps (FVG)
Detects price inefficiencies based on 3-candle patterns
Inverse Fair Value Gap (iFVG) identification
Customizable gap size filtering and fill thresholds
🕐 Trading Sessions
Asian, London, and New York session visualization
Session overlap detection and highlighting
High/low level tracking with customizable time zones
⚙️ Anti-Repainting Controls
Toggle between live signals and confirmed signals
Adjustable confirmation periods (1-5 bars)
Reliable backtesting with historical accuracy
Configuration Options
Master Controls: Enable/disable individual components
Repainting Settings: Choose between speed vs reliability
Visual Customization: Colors, line styles, label sizes
Performance Optimization: Display limits and memory management
Important Notes
Educational Purpose: This indicator is designed for educational exploration of ICT concepts and market structure analysis.
Not Financial Advice: The signals and patterns displayed are interpretive tools, not trading recommendations.
Backtesting Disclaimer: Past performance of any signals does not predict future results. Always use proper risk management.
Confirmation Required: All signals should be confirmed with additional analysis and proper risk assessment before making trading decisions.
Best Practices
Use confirmed signal mode for backtesting accuracy
Combine with traditional technical analysis
Practice on demo accounts before live trading
Understand each component before using in combination
Maintain realistic expectations about signal effectiveness
Risk Warning: Trading involves substantial risk of loss. This indicator is an educational tool and should not be the sole basis for trading decisions.
Technical Requirements: Pine Script v6, TradingView Pro+ recommended for multi-timeframe features
This indicator is provided for educational purposes. The concepts displayed are interpretive frameworks popular in trading education but lack independent empirical validation. Always conduct your own analysis and risk assessment.
Options Liquidity Confluence v1.1Options Liquidity Confluence (RVOL + Squeeze + OBV + PDH/PDL + VWAP) v1.1
By Miguel Licero
When trading options sometimes i experience that i read the price action right, movement goes to my favor, but contract value not necessarily goes up. This happens because of these 3 things:
Lack of directional conviction
Lack of liquidity injection
Lack of implied volatility shift
So in my personal case this is somewhat frustrating as the result of the operation is not what i expected. So after researching several strategies i tried to put together a tool that makes a humble attempt to capture liquidity expansion. So this script blends:
Relative Volume (RVOL) → participation/liquidity
“Squeeze” release (Bollinger Bands vs. Keltner Channels) → volatility expansion
OBV slope → aggressor flow proxy
Key levels → Prev-Day High/Low and VWAP
Optional EMA bias filter
This indicator tries to answer: “Will this move actually expand option premiums?”
It fires a Long or Short confluence when ALL the following are true (configurable):
Liquidity present → RVOL ≥ your threshold (default 1.8× the average).
Volatility release → the BB/Keltner Squeeze has just released (compression → expansion). Optionally requires BB width to be expanding.
Aggressor flow → OBV slope in the trade direction (linreg slope up for long, down for short).
Location/structure → Agreement at key levels:
- Long: price above VWAP and interacting with PDH (previous-day high).
- Short: price below VWAP and interacting with PDL (previous-day low).
Optional trend bias → EMA 21 vs EMA 50 filter.
When confluence hits, you’ll see a label/arrow and can also trigger alerts.
How to use it
1. Load on your 1-min or 5-min SPX/SPY chart.
It’s designed for intraday, especially 0DTE/near-dated options.
2. Tune thresholds by instrument/timeframe:
RVOL: For SPX/ES during NY session, 1.5–2.5 is typical.
Squeeze: Leave defaults initially (BB 20/2, KC 20/1.5).
OBV slope length: 21–55 bars works well; shorter = more sensitive.
3. Entry idea (example, SHORT):
Wait for short confluence as price breaks PDL (your chart event at ~11:54).
Confirm below VWAP, RVOL ≥ threshold, squeeze release, and OBV slope down.
Take ATM–slightly OTM puts with a predefined stop (e.g., back above VWAP or invalidation level) and a profit-taking bracket.
4. Avoid dead zones:
If RVOL < threshold or squeeze not released, it’s often the “hold your horses” phase — price may move but premiums don’t expand.
PLEASE USE AT YOUR OWN RISK
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market
Overview
The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs."
The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants.
How It Works: The 3-Module Logic
The indicator uses a multi-stage confirmation process to identify a potential stop hunt:
1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push.
2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales.
3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence:
An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone.
The same candle then reverses, closing back inside the previous price range.
This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable.
How to Interpret & Use This Indicator
BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP.
SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN.
This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
Lucci🎯 What This Indicator Does:
Lucci is a comprehensive liquidity-based trading system that identifies high-probability trade setups across multiple trading sessions. It combines three powerful strategies - Break & Retest, Bounce trades, and session liquidity levels - to help you trade like institutional traders do.
💎 Three Trading Strategies in One:
1. Break & Retest (B&R)
Automatically detects breaks of the NY Open levels
Waits for proper retest with customizable tolerance
Signals entry when price confirms the breakout direction
2. Bounce Trading
Identifies untested Asian and London session highs/lows
Looks for price rejection with wick confirmation
Catches reversal trades at key liquidity levels
3. Session Liquidity Mapping
Tracks Asia (6PM-3AM EST), London (3AM-8AM EST), and NY sessions
Highlights untested levels where liquidity pools form
Shows which levels have been "swept" vs pristine levels
🔥 Key Features:
Smart Entry Detection:
Automatic NY Open 15-minute candle detection (8:00 AM EST)
Multi-session high/low tracking with visual indicators
Untested vs tested level differentiation (darker = untested/stronger)
Market bias detection based on price structure
Advanced Risk Management:
Custom Risk:Reward Ratios - Choose preset 1:3, 1:5, or set any custom RR from 1:1 to 1:10
Automatic TP/SL level calculation and visualization
Clear entry, stop loss, and take profit labels
Position management with a daily signal limiter
Professional Trading Features:
Optional volume filter for high-probability setups (after 9:30 AM)
Customizable trading hours (default 9:30-11:00 AM optimal window)
Bar delay settings to avoid false breaks
Retest tolerance in points for precise entries
📈 Best Practices:
Optimal Usage:
Designed for ES/NQ futures but works on any liquid instrument
Best on 15-minute timeframe (can adapt to 5m or 30m)
Most effective during the first 2 hours of the NY session
Focus on untested levels for the strongest reactions
Trading Tips:
Untested levels are strongest - Prioritize first touch of session highs/lows
Combine signals - Best setups occur when B&R aligns with bounce levels
Respect the trend - Check the market bias indicator before trading
Volume matters - Enable volume filter for higher win rate
Be patient - Wait for clear signals rather than forcing trades
🚨 Alert System:
Detailed alert messages with entry, SL, and TP levels
Separate alerts for B&R and Bounce signals
Custom formatted messages with emoji indicators
Real-time signal notifications
📌 Important Notes:
Not all signals will win - focus on risk management and RR ratios
Combine with overall market context for best results
Untested levels provide the highest probability setups
Designed for active day trading, not swing trading
Works best on liquid instruments with good volume
Premium & Liquidity Zones By TradingSmurf ver.20250911=========================================
Premium & Liquidity Zones (PLZ) + AEMA
=========================================
Features:
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• Liquidity Zones (Daily / Weekly / Monthly)
- Previous Highs/Lows with text labels
- Auto purge when liquidity is swept
• Adaptive EMA (Kaufman-style)
- Fast = 2, Slow = 30, Efficiency = 10
- Toggle On/Off
• Premium & Discount Zones
- Supply/Demand imbalance shading
• Market Structure Tools
- BOS (Break of Structure) / CHoCH detection
- Order Blocks
- Fair Value Gaps (FVGs)
- MSS signals
- Swing High/Low labels
• Signals & Alerts
- SSMA crossover Buy/Sell signals
- BOS, CHoCH, MSS alerts
Usage:
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All-in-one Smart Money Concepts (SMC) toolkit
for liquidity, structure, and adaptive trend
confirmation.
Previous Day Liquidity ZonesThis indicator is designed for intraday liquidity-based trading strategies and helps traders identify high-probability reversal or breakout zones based on smart money concepts.
It automatically plots the:
🟥 Previous Day High Zone – potential buy-side liquidity trap
🟩 Previous Day Low Zone – potential sell-side liquidity trap
🟧 Previous Day Close Zone – potential rebalancing or indecision zone
These levels are critical areas where institutional stop-hunting, reversals, and fake breakouts often occur.
🎯 How to Use
Use this indicator on 1-minute or 5-minute charts for stocks, indices (like NIFTY, BANKNIFTY), or forex.
Watch for price entering these zones during live market hours.
Combine with price action confirmation:
Rejection wicks
Engulfing candles
Change of character (CHoCH) or BOS
Fair Value Gaps (FVG)
First 5-minute candle (9:15 AM in Indian market) is highlighted for breakout setups.
🧠 Smart Money Logic
These zones mimic the logic used by institutions to:
Trigger retail stop-losses
Reverse market direction near liquidity pools
Trap breakout traders around session extremes
⚙️ Features
Configurable zone width (%)
Visual fill zones with subtle shading
Support for all assets and timeframes
Highlights first candle of day to assist with pre-trade bias
✅ Ideal For:
Smart money traders
ICT / Wyckoff / SMC followers
Breakout trap or reversal strategy users
Anyone who trades key session levels
⚠️ Disclaimer
This is an informational tool. Always use confirmation and sound risk management before executing any trade.
Time-based LiquidityThis TradingView indicator identifies key liquidity zones based on previous highs and lows across multiple timeframes:
Monthly High/Low: Shows the previous month’s high and low levels, often acting as strong liquidity points where price may reverse or sweep before continuation.
Weekly High/Low: Highlights the previous week’s high and low, useful for short- to medium-term traders tracking breakout or fakeout zones.
Daily High/Low: Marks the high and low of the previous day, commonly targeted during intraday moves or liquidity grabs.
Session Zones (London & New York): Plots real-time highs and lows during the London and New York trading sessions. These zones are critical for identifying short-term liquidity sweeps and intraday volatility.
Traders use this tool to spot potential liquidity grabs, displacement entries, and reversal or continuation setups around institutional levels.
Simple Turnover with TOMCAPOverview
Turnover, or the total value traded over a given period, helps you gauge whether there’s enough liquidity in the instrument being traded. This indicator calculates the average turnover and presents it as a bar-by-bar plot. It also calculates the turnover-to-market capitalization (Tomcap) ratio, and presents this in a configurable table or text summary.
Introduction
Volume indicates the total number of shares that have been bought or sold in a specific period or during the trading day.
A company's market capitalization at any given time can be determined by multiplying its stock price by the number of shares outstanding.
Share turnover is a measure of stock liquidity, calculated by dividing the total number of shares traded during some period by the average number of shares outstanding for the same period. The higher the share turnover, the more liquid company shares are.
Compared to traditional volumes, potting the change in turnover can provide a better representation of the flow of money.
At its simplest, the daily turnover on each bar is computed as the closing price for a stock multiplied by its average volume:
turnover = volume * close / 10000000
The script calculates this by using average prices for both:
turnover = sma_volume * sma_close / 10000000
Script Basics
The script computes & plots the n-period average turnover by multiplying the moving average of price and volume.
By default, the market cap is plotted bar by bar as a background behind the turnover bars.
Every time the turnover reaches a new high in a quarter, the color of the turnover bars turns dark green. This represents the HTQ (Highest Turnover in a Quarter) , and multiple consecutive HTQs indicate a significant influx of funds into that stock.
Uses
The primary purpose of the script is to assist traders in making more informed decisions regarding stock selection.
1. Screen out non-tradable stocks
Quickly spot low-turnover names (illiquid stocks) to avoid wide spreads. Filter out any stocks whose average daily turnover is below, say, ₹5 Cr. This helps in eliminating tickers whose average turnover never clears your minimum threshold.
Example of a high-turnover stock:
Example of a low-turnover stock:
2. Turnover expansion
Observe when the average turnover suddenly expands from its previously subdued values. This occurs when money begins to flow in due to a catalyst, sectoral push, news flow, or any institutional activity.
Example:
3. Relative liquidity comparison
Even average turnover can sometimes overlook the context if we don’t know the company's size. That’s why the script also measures:
Turnover vs. Market cap (TOMCAP) , answering “What percent of the company’s value trades each day?”
Turnover vs. Free Float (TOFF) , showing liquidity against shares actually available for trading.
For example:
A small-cap stock with ₹1 Cr turnover but only ₹50 Cr market cap (Tomcap = 2 %)
vs. a large-cap with ₹10 Cr turnover and ₹20,000 Cr cap (Tomcap = 0.05 %)
Customization
A. Appearance
Dark Mode toggle switches colors to match your dark layout
Show turnover in Crores or Millions
B. What to show
Select the table size and position (e.g., top-left, bottom-center)
Under Table Settings, enable or disable any row:
Turnover
Mcap (market capitalization)
FF (free float)
1-Min liquidity (average turnover on 1-min bars)
Tomcap (Turnover to market capitalization) or Toff (Turnover to Free Float) ratio
C. Display mode
Table: a multi-row grid with colored cells
Text: a single summary string
