Raiks 3am Model & NQ MacrosThis indicator marks the 2 am candle (which is where we start our trading session and look for entries), and the 3 am candle with a dynamic background color feature. If the 3 am candle is bullish the background will be green. If the 3 am candle is bearish, the background will be red.
The 2 am candle Is there to make it easier to backtest and forward test when the trading session begins for this 3 am model. E.g. if at 2:10 you see a big bearish imbalance, you can enter off the retest/fill of the imbalance and target the nearest lows/highs imbalances or key levels on the left of the chart before 2 am aka the asian session range.
The significance of the 3 a.m. candle is a key part of my 3 a.m. model. Looking at the 5-minute chart only, If the 3 a.m. candle is bullish, then our market bias for the rest of the day is also bullish, and starting from the 3 am candle (once it has closed), we should look for bullish entry setups—and vice versa.
For Nasdaq or S&P500 only: If no setups can be found between 3 am and 9 am New York time (UTC-5), then look for entry setups within the ICT NY Macro timezones using the ICT market maker sell model (if we are bearish and looking for sells) or the market maker buy model (if we are bullish and looking for buys).
PS: This Strategy only requires you to use the 5-minute chart, starting from the 2 am candle up to the end of the trading day for entries and exits. Optionally, you can scale down to a 1-minute chart to refine your entries even better.
Backtest this model and you'll be surprised at how powerful the 3 am candle Is at determining daily bias!
Have Fun using this indicator :)
Made with love by Raik aka Don Raul aka Neon
Cari dalam skrip untuk "imbalance"
ICT 9:30am First FVGThis indicator is designed based on ICT (Inner Circle Trader)'s algorithmic price action theory, specifically targeting the first fair value gap (FVG) that forms immediately after the New York Stock Exchange opens at 9:30am. The FVG represents an imbalance in the price delivery where a significant price action gap occurs, which can play a crucial role in future price movements.
Features:
Identification of First FVG: Automatically identifies and plots the first fair value gap that forms post the 9:30am NY open.
Customizable Visualization: Choose between block or line styles for visual representation, with customizable colors and border styles.
Date Labeling: Optionally displays date labels for each identified gap to track patterns over time.
Imbalance Extension: Options to extend the imbalances to the current bar, helping to visualize their influence on ongoing price action.
Purpose:
The first fair value gap formed after the market opens is an important algorithmic price range in ICT's price action theory. This indicator simplifies the identification of these critical gaps and helps in understanding their impact on future price action.
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.
ICT Killzones Toolkit [LuxAlgo]The ICT Killzones Toolkit is a comprehensive set of tools designed to assist traders in identifying key trading zones and patterns within the market.
The ICT Killzones Toolkit includes the following Price Action components:
ICT Killzones with Pivot Highs/Lows
Order Blocks
Breaker Blocks
Fair Value Gaps
Market Structure Shifts
By combining these components, the ICT Killzones Toolkit provides traders with a comprehensive framework for analyzing the market and identifying setups of interest. Leveraging these tools effectively can enhance traders' decision-making process and improve killzones interpretability.
🔶 USAGE
In forex/futures trading, timing is crucial. ICT Killzone are specific periods when there's a higher chance of finding setups of interest. Mastering these time intervals can offer significant advantages to traders who know how to use them effectively.
The image above highlights a potential setup of interest when using the ICT Killzones Toolkit.
As another example for utilizing the ICT Killzones Toolkit, we can see in the image above when price retests setups generated from killzones such as Order Blocks or Fair Value Gaps, a potential strategy could be to look for entries on those & take profits as the next killzone appears.
🔹 Order Blocks
Order Blocks are sections on a price chart where notable buying or selling activity has occured, often signaling interest zones for institutional traders. This toolkit's Order Blocks component pinpoints these areas within the Killzone, which may act as potential support or resistance levels.
🔹 Breaker Blocks
Breaker Blocks are zones built from mitigated order blocks, and highlight zones on the chart where price has previously stalled or reversed. These areas may act as significant barriers to price movement in the future, and the Breaker Blocks component helps traders identify them for potential trading opportunities.
🔹 Fair Value Gaps
Fair value gaps are especially favored by price action traders and arise from market inefficiencies or imbalances, typically when buying and selling are unequal. These gaps often attract price movement before resuming in the same direction. the Fair Value Gaps component of the toolkit helps traders identify and analyze them.
🔹 Market Structure Shifts
Market Structure Shifts refer to significant changes in the overall structure of the market, such as shifts in trend direction, volatility, or trading activity. These shifts can provide valuable insights into market sentiment and potential trading opportunities, and the Market Structure Shifts component helps traders identify and interpret them.
Overall, the ICT Killzone Toolkit combines these components to provide traders with a comprehensive framework for analyzing the markets and identifying high-probability trading setups.
🔶 SETTINGS
🔹 ICT Killzones
Asian, London Open, New York, and London Close: toggles the visibility of specific Killzones, allowing users to customize time periods and Killzone colors.
Killzone Lines : Top/Bottom, Mean and Extend Top/Bottom: toggles the visibility of the Killzone's pivot high and low lines, mean (average) line, and allows users to extend the pivot lines.
Killzone Labels: Toggles the visibility of the Killzone labels.
Display Killzones within Timeframes Up To: Toggles the visibility of the Killzones up to selected Timeframes.
Open Price, Separator, Label, and Color: toggles the visibility of the open price of the Killzones or for the day, week, or month. If the day, week, or month is selected, a separator will be displayed to highlight the beginning of each respective period. Additionally, users can customize the color and toggle the label as needed.
🔹 Order Blocks & Breaker Blocks
Order Blocks | Breaker Blocks: toggles the visibility of the order blocks & breaker blocks.
Swing Detection Length: lookback period used for the detection of the swing points used to create order blocks & breaker blocks.
Mitigation Price: allows users to select between closing price or wick of the candle.
Use Candle Body in Detection: allows users to use candle bodies as order block areas instead of the full candle range.
Remove Mitigated Order Blocks & Breaker Blocks: toggles the visibility of the mitigated order blocks & breaker blocks.
Extend Order Blocks & Breaker Blocks: enables processing of the order blocks & breaker blocks beyond the boundaries of the killzones.
Display Order Blocks & Breaker Blocks: enables the display of the first, last, or all occurrences of the order blocks & breaker blocks.
Order Blocks : Bullish, Bearish Color: color customization option for order blocks.
Breaker Blocks : Bullish, Bearish Color: color customization option for breaker blocks.
Show Order Blocks & Breaker Blocks Text: toggles the visibility of the order blocks & breaker blocks labels.
🔹 Market Structure Shifts
Market Structure Shifts: toggles the visibility of the market structure shifts.
Detection Length: market structure shift detection length.
Display Market Structure Shifts: enables the display of the first, last, or all occurrences of the market structure shifts.
Market Structure Shifts : Bullish, Bearish Color: color custumization option for market structure shifts.
Show Market Structure Shifts Text: toggles the visibility of the market structure shifts labels.
🔹 Fair Value Gaps
Fair Value Gaps: toggles the visibility of the fair value gaps.
Fair Value Gap Width Filter: filtering threshold wile detecting fair value gaps.
Remove Mitigated Fair Value Gaps: removes mitigated fair value gaps.
Extend Fair Value Gaps: enables processing of the fair value gaps beyond the boundaries of the killzones.
Display Fair Value Gaps: enables the display of the first, last, or all occurrences of the fair value gaps.
Bullish Imbalance Color: color customization option.
Bearish Imbalance Color: color customization option.
Show Fair Value Gaps Text: toggles the visibility of the fair value gaps labels.
🔶 RELATED SCRIPTS
Smart-Money-Concepts
Order-Blocks-Breaker-Blocks
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Sonarlab - Double Fair Value Gap (DFVG)The Double Fair Value Gap will give great zones where price in the future can react off. The script is Multi Timeframe. Of course the name says it already, the script basically searches for area's where a FVG gets rebalanced with another Fair Value Gap - a double fair value gap. Amazing for searching strong buying and selling pressure in the markets.
You can see below for example that price creates a Double Fair Value Gap and comes back to fill it.
You can customize the script how you like it, with the following settings and inputs:
Show double fair value gap
DFVG Lookback: {value}
Display Limit {value}
Colors: Bullish and Bearish DFVG
Extension
Extend to {recent or max}
Custom extension: {value}
Mitigation
Mitigated: {remove or stop}
Mitigation level {value %}
Customize Box Text
Premium Zone
Midline
Show midline
Styling settings
Alerts]
Bullish Alert
Bearish Alert
Fair Value Gap [LuxAlgo]Fair value gaps (FVG) highlight imbalances areas between market participants and have become popular amongst technical analysts. The following script aims to display fair value gaps alongside the percentage of filled gaps and the average duration (in bars) before gaps are filled.
Users can be alerted when an FVG is filled using the alerts built into this script.
🔶 USAGE
In practice, FVG's highlight areas of support (bullish FVG) and resistances (bearish FVG). Once a gap is filled, suggesting the end of the imbalance, we can expect the price to reverse.
This approach is more contrarian in nature, users wishing to use a more trend-following approach can use the identification of FVG as direct signals, going long with the identification of a bullish FVG, and short with a bearish FVG.
🔹 Mitigation
By default, the script highlights the areas of only unmitigated FVG's. Users can however highlight the mitigation level of mitigated FVG's, that is the lower extremity of bullish FVG's and the upper extremity of bearish FVG's.
The user can track the evolution of a mitigated FVG's using the "Dynamic" setting.
🔹 Threshold
The gap height can be used to determine the degree of imbalance between buying and selling market participants. Users can filter fair value gaps based on the gap height using the "Threshold %" setting. Using the "Auto" will make use of an automatic threshold, only keeping more volatile FVG's.
🔶 DETAILS
We use the following rules for detecting FVG's in this script:
Bullish FVG
low > high(t-2)
close(t-1) > high(t-2)
(low - high(t-2)) / high(t-2) > threshold
Upper Bullish FVG = low
Lower Bullish FVG = high(t-2)
Bearish FVG
high < low(t-2)
close(t-1) < low(t-2)
(low(t-2) - high) / high < -threshold
Upper Bearish FVG = low(t-2)
Lower Bearish FVG = high
🔶 SETTINGS
Threshold %: Threshold percentage used to filter our FVG's based on their height.
Auto Threshold: Use the cumulative mean of relative FVG heights as threshold.
Unmitigatted Levels: Extent the mitigation level of the number of unmitigated FVG's set by the user.
Mitigation Levels: Show the mitigation levels of mitigated FVG's.
Timeframe : Timeframe of the price data used to detect FVG's.
IC Sniper
Hello fellow traders,
This is a script which tries to visualise SMC /Institutional Candles.
Few of the features which are used in the script are explained below,
CAUTION, Do not enable IC Candles option (BETA). It has a lot of flaws which require solving the problem from a different angle, and I am trying my level best to figure out a solution.
Left Bars and Right Bars, used to find pivot high and lows to help us make Market Structure.
Now first thing to understand when trying to figure out SMC or institutional moves is the figure out the trend you are in. Trend is always your friend, so use higher time frame to just see the trend ( Trend lines are handy ).
I suggest using manual trend detection option, you have other two options available. Either of them have some flaws which can be worked upon if required.
Find the trend, be it manually or EMA ensures are trend support order blocks and engulfing candles are shown.
IC = Institutional Candle
How to find an IC ???
Simple things are ensured.
Below is defined for a bear market
1) Clears liquidity ( I simply see the last green candle before a minor dump ( vice-versa ) and see if the last green candle or the following red candle have huge wicks which clear recent previous highs (3 candles)
2) Next I see if the red candle after the last green candles is engulfing in nature ( yellow for bearing environment and white for bullish )
3) Then I create an order block.
4) Sometimes if imbalance after an order block is tooo big, the re test only fills the imbalance rather than reaching the IC . Imbalances are shown with grey boxes, the ones filled are automatically removed.
For successful entries please ensure that the candles succeeding engulfing candles break a market structure (BOS, ChoCh).
Any suggestion are welcome.
Please change max moves to detect to 5 from 3
Caution not all order blocks made are perfect !! Further adjustments are required but are too complicated for me to code, have to find some way around and I am sure with update I will refine the options.
Basic things to look,
IC should be followed buy a pump or a dump ( with some candles being out of the trend (I have given some scope in the code)) plus it should have a high wick which clears liquidity.
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
TJR SEEK AND DESTROYTJR SEEK AND DESTROY – Intraday ICT Trading Tool
Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30–16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex.
What Makes It Unique?
Unlike standalone ICT indicators, this script integrates:
Order Blocks with volume and range filters for precise support/resistance zones.
Fair Value Gaps (FVG) to spot pre-market price imbalances.
Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals.
A 1H MA-based Bias to align trades with the day’s direction.
BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise.
How Does It Work?
Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxes—potential reversal points.
Fair Value Gap: Compares the prior day’s close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005").
Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium.
Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles.
Liquidity Sweeps: Tracks breaches of the prior day’s high/low (yellow lines), marked with yellow triangles.
Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context.
Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low.
How to Use It
Setup: Apply to 1M–15M charts for US session trading (9:30–16:00 EST).
Trading:
Wait for a BUY label after a yellow sweep triangle above the prior day’s high in a green (bullish) background.
Wait for a SELL label after a yellow sweep triangle below the prior day’s low in a red (bearish) background.
Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit.
Markets: Best for SPY, ES futures, or forex pairs with US session volatility.
Underlying Concepts
Order Blocks: High-volume, low-range bars suggest institutional activity.
FVG: Gaps between close and open indicate imbalance to be filled.
BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting.
Bias: 1H MA filters trades by broader trend.
Chart Setup
Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
Quantum Liquidity Fractal Dynamics (QLFD) v2.1The Quantum Liquidity Fractal Dynamics (QLFD) v2.1 is an advanced multi-dimensional market analysis too l engineered for professional traders seeking to identify high-probability liquidity-driven reversals. Built upon a proprietary Fractal-Liquidity Convergence Model (FLCM), QLFD v2.1 leverages quantum-phase liquidity oscillations and institutional absorption mapping to dynamically assess order flow efficiency within multi-timeframe market structures.
Core Algorithmic Methodology
QLFD v2.1 integrates a Hybridized Recursive Liquidity Matrix (HRLM) with High-Frequency Adaptive EMA Displacement (HFAED) to model non-linear liquidity density clusters. This proprietary framework is further reinforced by a Multi-Layered RSI Vorticity Filter (MLRVF), enhancing the signal integrity by filtering out stochastic noise anomalies.
The EMA-200 Rejection Dynamics, combined with the Vortex RSI Momentum Refraction Index (VRMRI), allow the system to isolate institutional footprint imbalances. By capturing transient liquidity voids and microstructure inefficiencies, QLFD v2.1 enables traders to position themselves ahead of high-probability liquidity sweeps.
Signal Efficiency & Institutional Calibration
While QLFD v2.1 exhibits an exceptionally high accuracy rate in identifying potential reversal vectors, it is imperative for traders to exercise institutional-grade signal filtration. The indicator autonomously detects Phase-Induced False Signal Clusters (PIFSCs), yet discretion remains paramount in avoiding transient liquidity mirages—a common occurrence in markets exhibiting hyper-fractalized liquidity dislocations.
For optimal performance, professional traders must apply a Multi-Stage Confirmation Protocol (MSCP), leveraging additional confluence layers such as:
Order Flow Delta Cohesion (OFDC)
Gamma-Weighted Imbalance Deviation (GWID)
Synthetic Volume Shockwave Ratio (SVSR)
These advanced methodologies ensure that traders engage only with high-probability fractal reversals, filtering out structurally unreliable signals induced by inter-market arbitrage distortions.
Final Thoughts
QLFD v2.1 is not designed for retail-grade signal chasing. It is an institutional-grade analytical framework tailored for professionals who understand the fractal complexity of modern liquidity landscapes. Mastering the art of discretionary filtration—by distinguishing true liquidity-driven reversals from algorithmically-induced decoy impulses—is the key to leveraging this system’s full potential.
Intrabar Volume Distribution [BigBeluga]Intrabar Volume Distribution is an advanced volume and order flow indicator that visualizes the buy and sell volume distribution within each candlestick.
🔔 Before Use:
Turn off the background color of your candles for clear visibility.
Overlay the indicator on the top layout to ensure accurate alignment with the price chart.
🔵 Key Features:
Inside Bar Volume Visualization:
Each candlestick is divided into two columns:
Left column displays the sell % volume amount.
Right column displays the buy % volume amount.
Provides a clear representation of buyer-seller activity within individual bars.
Percentage Volume Labels:
Labels above each bar show the percentage share of sell and buy volume relative to the total (100%).
Quickly assess market sentiment and volume imbalances.
Point of Control (POC) Levels:
Orange dashed lines mark the POC inside each bar, indicating the price level with the highest traded volume.
Helps identify key liquidity zones within individual candlesticks.
Multi-Timeframe Volume Analysis:
The indicator automatically uses a timeframe 20-30 times lower than the current one to gather detailed volume data.
For each higher timeframe candle, it collects 20-30 bars of lower timeframe data for precise volume mapping.
Each bar is divided into 100 volume bins to capture detailed volume distribution across the price range.
Bins are filled based on the aggregated volume from the lower timeframe data.
Lookback Period:
Allows traders to select how many bars to display with delta and volume information.
The beginning of the selected lookback period is marked with a gray line and label for quick reference.
Indicator displays up to 80 bars back
🔵 Usage:
Order Flow Analysis: Monitor buy/sell volume distribution to spot potential reversals or continuations.
Liquidity Identification: Use POC levels to locate areas of strong market interest and potential support/resistance.
Volume Imbalance Detection: Pay attention to percentage labels for quick recognition of buyer or seller dominance.
Scalping & Intraday Trading: Ideal for traders seeking real-time insight into order flow and volume behavior.
Historical Analysis: Adjust the lookback period to analyze past price action and volume activity.
Intrabar Volume Distribution is a powerful tool for traders aiming to gain deeper insight into market sentiment through detailed volume analysis, allowing for more informed trading decisions based on real-time order flow dynamics.
FVG Zones (Remove Filled) + AlertA powerful TradingView indicator that automatically identifies Fair Value Gap (FVG) zones, removes them once price “fills” the gap, and sends you crystal-clear alerts specifying Bull or Bear zones—so you never miss a market imbalance.
🔍 Key Features
Automatic FVG Detection
Spots three-candle imbalance patterns (low > high for Bull, high < low for Bear) and draws colored boxes on your chart.
Auto-Remove Filled Zones
Once price enters a gap, the corresponding box is deleted—keeping your chart clutter-free.
Dedicated Alerts
Two separate alert conditions with constant messages:
“Price filled Bull FVG zone”
“Price filled Bear FVG zone”
On-Chart Labels
Enable debugging to display Bull FVG or Bear FVG tags above the triggering candle.
Performance-Tuned
Supports up to 500 active zones without slowing down your chart.
⚙️ Inputs & Customization
Show Alert Labels (Boolean) – Toggle on-chart text labels.
Max Boxes Count (Integer) – Control the maximum number of zones displayed.
StockLeave Signal BarThe indicator identifies potential trade entries by highlighting expansion and reversal bars. These are defined by individual bar characteristics and refined by contextual factors such as price position relative to structural boundaries. The purpose is to locate bars that could indicate potential market initiation.
Expansion Bars
The expansion captures bars that breakout from a period of reduced volatility. These often initiate directional movement and are recognized using a two-part definition:
Range Expansion The current bar’s range must exceed the average range. This ensures the move is comparatively large and stands out from recent behavior.
Range Compression The bars before the expansion must be below a threshold of the average range. This confirms a low-volatility lead-up, strengthening the likelihood that the expansion has significance.
This script applies additional filters. A local breakout ensures price breaks the previous bar’s high or low. A strong close confirms directional intent by requiring the close near the bar’s extreme. Mean proximity checks that expansion starts near the mean price using a dynamic buffer relative to bar size. A directional filter blocks signals during extended directional runs. Consecutive suppression prevents multiple expansions to show in succession.
Reversal Bars
Reversal setups aim to identify potential turning points after price has reached a zone of imbalance or extension. These bars typically exhibit long tails and occur near structural boundaries such as the outer Keltner bands. Their design favors short-term price rejection and potential reversal.
Tail Dominance The wick must be at least twice the body and make up a significant portion of the bar’s total range, signaling strong rejection rather than indecision.
Close Location The close should be near the opposite end of the wick, near the low for bearish signals and near the high for bullish, confirming pressure in the reversal direction.
This script applies additional filters. Local extreme ensures the bar marks a local turning point to confirm reversals occur after extension, not within structure. Boundary proximity requires the bar to appear near the outer envelope, aligning bearish signals with the upper band and bullish with the lower, indicating price has reached an area of likely imbalance.
This section also incorporate snapback reversals, designed to capture failed extensions beyond structural boundaries. Unlike single-bar rejections, snapbacks use a two-bar sequence: a strong impulse bar that closes outside the envelope, followed by a reversal bar that closes back inside.
Alert Configuration
The Signal Bars indicator includes an alert function with two built-in conditions to help reduce screen time and focus attention when predefined conditions are met.
Expansion: Alerts when a bar meets all conditions for a valid expansion.
Reversal: Alerts when a bar meets the criteria for a pin bar or snapback reversal.
These are built into the indicator with the alertcondition() function and can be turned on whenever the indicator is applied to a chart. Each alert includes a default message that uses dynamic placeholders; {{ticker}} for the symbol and {{interval}} for the timeframe.
Create a new alert and select the condition “StockLeave Signal Bars.”
Then select from the two options: Expansion and Reversal.
For expansions, select “once per bar” to capture developing momentum.
For reversals, use “once per bar close” to confirm rejection setups.
Apply alerts across multiple timeframes to improve coverage. Lower timeframes are better suited for fast-moving markets, while higher timeframes work well in slower or more selective environments. This process only needs to be done once. The created alerts can then be toggled on or off from the Alerts panel as preferred, without requiring reconfiguration.
Applied Discretion
The indicator functions on fixed logic, but interpretation always takes precedence. Consider price action, structure, volatility, and broader market context. Most signals will not lead to trades; while many may appear in a session, only a select few will align with context and warrant execution based on discretion.
ZenAlgo - AvengerThe ZenAlgo - Avenger indicator provides a multi-layered view of market behavior by combining volume delta analytics, trend-following EMAs, average price comparison, and price-volume profiling into a unified overlay. It is designed to visually assist traders in identifying areas of interest, momentum shifts, and potential reversals using cumulative data from both spot and perpetual markets.
Volume Delta Calculation
This indicator computes delta as the difference between estimated buy and sell volumes using volume data from multiple centralized exchanges. It distinguishes between spot and perpetual volumes, combining them into total volume.
To estimate buying and selling volume from raw volume data, candle structure is broken down into body and wicks. The body is interpreted as the core directional movement (buy/sell), while the wicks are treated as uncertain or counteraction. This segmentation helps infer the likely share of buying and selling within each bar.
The delta is calculated per bar and then aggregated over a lookback period (default 14 bars) to generate a cumulative delta. This approach provides a smoothed value of volume pressure trends over time.
A moving average is applied to the delta values (using selectable MA types like EMA or SMA) to define signal crossovers and suppress noise.
Delta Visualization
To contextualize delta within price action, the delta is scaled dynamically (by ATR or user-defined value) and plotted as a band around the closing price. Positive delta expands upward from price, negative delta downward. This provides a visual overlay that reflects net market pressure in context with price movement.
In cases of extreme delta (threshold set at 80% of recent maximum), the indicator marks spike bars using symbols to indicate significant directional pressure.
Identification of Noteworthy Conditions
The indicator highlights points on the chart where specific conditions are met based on the interaction between volume delta and its moving average. These conditions may align with moments of market pressure imbalance and directional movement, but they are not to be interpreted as trade signals in isolation.
Instead, these chart markers serve as visual flags for potential interest. They are intended to draw the user’s attention to scenarios where:
The delta crosses above or below its moving average, suggesting a potential shift in volume pressure.
The cumulative delta supports the direction of this crossover.
Optional filters can further restrict these markings to periods where:
The short-term trend (as inferred from EMA slope) supports the direction.
Volume is elevated relative to a recent average.
A user-defined cooldown period prevents multiple markings within short succession to avoid clutter.
It is essential to underscore that these markers do not constitute buy or sell advice . Their role is diagnostic , helping the trader to identify potential moments of interest which should be analyzed in conjunction with broader context, such as trend structure, price action, support/resistance levels, or external market data.
EMA Structure
Six EMAs with fixed lengths (13 to 56) are plotted and colored dynamically based on the most recent crossover between the fastest and slowest (EMA1 and EMA6). These EMAs help visualize short- to mid-term trends. The crossover itself is marked with symbols, with vertical offset based on ATR to maintain chart readability.
Average Line (AVG)
The indicator also calculates an average price based on a fixed window (100 bars). This is not a standard moving average but rather a raw average of recent prices stored in a circular buffer. The average is plotted, and its relative distance to the current price is labeled as a percentage. This feature serves as a simplified representation of fair value or mean reversion anchor.
EMA6 vs AVG Cross
Another layer of point of interest detection involves EMA6 crossing the AVG line. This crossover is only considered valid if EMA6 shows slope consistency in the crossing direction. These events are marked using symbols and offset vertically to avoid overlapping price action.
Divergence Detection
The script detects both regular and hidden divergences between price and delta:
Regular divergences are defined when price makes a higher high or lower low, while delta fails to confirm (makes a lower high or higher low).
Hidden divergences occur when price retraces (lower high or higher low), but delta moves against this retracement, indicating underlying strength or weakness.
Divergence points are labeled with "R" (regular) or "H" (hidden) and appear at local pivot highs or lows. The number of visible divergence labels can be limited for chart clarity.
POC and nPOC Calculations
The script includes a simplified volume profile implementation, calculating:
POC (Point of Control): the price level with the highest volume for the given period.
nPOC (non-tested POC): historical POCs that have not yet been revisited by price.
Price levels are bucketed into rows (user-defined), and volume per bucket is tracked to identify the POC. Upon a new period (e.g., day, week), a horizontal POC line is drawn. Once tested by price, the line’s appearance changes (color fades, label shrinks), helping users distinguish between untouched and touched levels.
Limits are enforced on the number of retained POCs and their maximum distance from current bars to optimize performance and chart readability.
Exchange Aggregation
Volume data is aggregated across major exchanges. This ensures that the delta calculation captures a broader market picture beyond a single venue, reducing exchange-specific noise.
How to Interpret Values
Delta Band: Wide bands indicate strong directional imbalance. Narrow bands suggest indecision or low volume.
EMA Crossover Symbols: Appear on directional shifts in moving averages. Multiple EMAs reinforcing the same slope typically indicate stronger trend.
AVG Line: Represents average price over recent history. Large deviations can indicate overextension or potential mean reversion.
Divergences: Regular ones may point to weakening momentum; hidden ones can suggest continuation despite corrective price action.
POC / nPOC: Key volume-based support/resistance levels. Untested nPOCs can act as magnets for price retests.
How to Best Use This Indicator
Use in conjunction with trend context (e.g., higher timeframe EMAs) to avoid counter-trend indications.
Treat delta spikes as caution zones—especially if they occur at known support/resistance.
Watch for divergences as early warning signs before price reverses.
Use POC/nPOC as target levels, especially if aligned with delta signals.
Apply volume and trend filters to reduce noise on shorter timeframes.
Added Value
Multi-exchange volume aggregation makes the delta calculation more robust.
Real-time cumulative delta overlaid directly on the price chart provides immediate context.
Points of interest on chart are conservative and filterable, intended to reduce false positives.
The combination of delta, trend-following EMAs, fair value line, and volume profile data is rarely found in one overlay script.
POC/nPOC visualization based on real traded volume helps identify high-interest zones for future price interaction.
Why Is It Worth Paying For
While free alternatives may provide partial insights (e.g., basic delta or single EMA crossovers), this indicator integrates multiple domains—delta, divergence, average price, trend overlays, and profile levels—into a coherent, optimized chart tool. The value lies not just in having these tools, but in how they are synchronized and visualized.
Furthermore, sourcing and synchronizing volume data from multiple exchanges for delta estimation is not straightforward in Pine Script and adds to the indicator's complexity and utility.
Disclaimers and Limitations
Delta estimation is based on candle structure and assumes wick/body distribution reflects buyer/seller activity, which may not always be precise.
Multi-exchange volume data relies on availability via TradingView’s request.security() function; if exchange data is missing or delayed, results may be incomplete.
Divergences do not guarantee reversals—should be used as part of a broader analysis framework.
On illiquid instruments or exotic pairs, the value of delta and volume-based analytics may be reduced due to unreliable volume.
Forever Model [Pro+] (Sniper)Introduction
Forever Model (Sniper) is a clean, structured framework for visualizing internal liquidity to external liquidity rotations. It identifies shifts in market delivery by combining internal liquidity zones (Fair Value Gaps), divergence between correlated markets (Smart Money Technique), and lower timeframe orderflow changes (Orderblocks).
Designed for repeatability, the model helps analysts build confidence through familiarity, not complexity.
Rather than attempting to forecast direction, this model focuses on recognizing recurring patterns in delivery behavior across Timeframes. It presents a structured visual logic that can support manual analysis, with the aid of alerts that prompt analysts to investigate and validate potential price rotations.
The model is non-repainting, thoughtfully built to highlight past rotations once formed. It offers flexibility across assets and Timeframes, adapting to analysts' preferences while remaining consistent in its components.
Description
The model is organized into a three-part sequence. These three conditions form the visual foundation of the model. All parameters can be customized to match your preferred timeframe, session, and market:
Internal Range Liquidity Tag (IRL)
Price must interact with a defined internal inefficiency—typically a Fair Value Gap (FVG), which is an area between a three candle structure where price moves rapidly, leaving an imbalance that may later be revisited to be filled for efficiency.
Smart Money Technique Divergence Detected (SMT)
SMT transpires as a crack in correlation between two assets – this divergence is used to indicate potential shifts in price delivery.
SMT can be observed between two correlated assets, where one makes a lower low while the other holds a higher low (or conversely, one makes a higher high while the other forms a lower high).
Similarly, SMT can also occur between inverse correlated assets, where one makes a lower low while the other holds a lower high (or conversely, one makes a higher high while the other forms a higher low).
Change in State of Delivery (CISD)
After SMT occurs, the model identifies a CISD—a strong close engulfing the body of a previous directional candle that sweeps a short-term high or low. This suggests that price may be shifting from one delivery regime to another. The candle is labelled as an Orderblock (OB) candidate, with optional projected measures for better range of opportunity estimation.
Key Features
Model History Control
Controls how many past model formations appear on the chart, with a maximum of 40. Analysts may use shorter history for live charting or increase the count when studying past performance or recurring conditions.
When History is equal to 0, it will only show only live models in development, or nothing if no models are currently active.
Note: historical invalidated rotations are visualized through small markers, and may not display the model's components unless reviewed in Replay Mode. This mechanism keeps the chart clean, and allows the analyst to focus on the confirmed rotations.
Directional Bias Filter
Filters whether the model shows formations in only one direction or both. For example, selecting “Bullish” displays only internal range zones and divergence setups that meet criteria for upside movement. This feature is crucial for allowing analysts to align with higher Timeframe bias or studying unidirectional structures.
SMT Pair Input
The model compares your active chart with a second asset to detect SMT Divergence. You may manually enter a symbol (e.g., ES1!, BTCUSD, NZDUSD) or use Automatic SMT Pair Detection , which selects the most relevant correlated market. Inverse SMT inverts the logic, useful for negatively correlated pairs (e.g., gold vs dollar).
For example, although the Automatic SMT Pair Detection for CME_MINI:NQ1! is CME_MINI:ES1! , one may decide to use a leading stock in the NASDAQ such as NASDAQ:NVDA :
Timeframe Alignment
Defines which higher Timeframe the IRL is drawn from, and which lower Timeframe is used to evaluate the Model's conditions. These Timeframe Alignments can be selected individually to only showcase a specific combination of IRL and LTF Conditions; for a more dynamic approach, the "Automatic" option adjusts these pairings based on the current chart Timeframe. By selecting the "Custom" option, analysts can define and monitor their own preferred Timeframe Alignment.
Example: 5m Conditions ➞ 1H IRL vs. 4H Conditions ➞ Weekly IRL
Fair Value Gap (FVG) Visualization
Fair Value Gaps are areas where price moved quickly between two candles without overlap—these areas represent the IRL of the model, and are often revisited before continuing. Optionally, the analyst can decide to showcase the Consequent Encroachment (CE), the midpoint where price begins to fill the imbalance. Further, the analyst can maintain a cleaner chart by only showing FVG where SMT occurs, substantially limiting the number of drawings on the chart.
SMT Visualization
Draws visual lines connecting SMT points between the HTF reference points of the current chart's asset, and the SMT Pair asset. Helps analysts confirm divergence location and relationship at a glance, especially when reviewing multiple correlated pairs.
Liquidity Sweep Visualization
Most recent short-term liquidity swept, which resulted in a CISD. Marking this liquidity pool—a high or low that has been taken out—provides context and can give additional insight to evaluate the current market rotation.
Orderblock + Projections (OB)
When a CISD is recognized, an OB candidate is plotted. Projections from the OB can be displayed at customizable distances, serving as measurements for better range of opportunity estimation.
External Range Liquidity (ERL)
External Range Liquidity refers to price levels that sit beyond internal structures—typically local highs or lows that may be revisited after a retracement, for continuation.
Session Filters + Timezone Control
Define up to four time blocks (e.g., London Open, NY AM, PM session, Asia) for when the model is active. Timezones are fully customizable, supporting global use cases and precise filtering of formations to sessions with expected volume or cleaner structure.
Information Table
A compact, floating panel is available to display key model parameters in real time: Timeframe Alignment, Bias Direction, Active SMT Pair, Time Filter Conditions, Date.
This feature provides immediate context under which the model is operating — especially useful during active chart review or multi-pair monitoring. The table can be repositioned, resized, or disabled entirely depending on visual preference.
Model Markers & Backtest Support
The model includes a visual marker system to support chart review and backtesting. These overlays provide reference points for past structure, showcasing the following:
Reaching an OB Projection after revisiting the OB
Reaching the External Range Liquidity after revisiting the OB
Reaching an OB Projection without revisiting the OB
Reaching the External Range Liquidity without revisiting the OB
Invalidating the detected OB
Fully Automated Framework: all these components, when put together in the Forever Model ($niper), yield a clean and simple approach to studying and observing market rotations, empowering analysts in seeing the market through $niper's point of view. Each component is customizable to the analyst's liking to match their unique visual and technical preferences.
Usage Guidance:
Add Forever Model ($niper) to your TradingView chart.
Select your preferred SMT Pair, Timeframe Alignments, Model Style, and Time Filters.
Automate your analysis process with Forever Model (Sniper) and leverage it into your existing strategies to fine-tune your view through Sniper's point of view.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
SCE Price Action SuiteThis is an indicator designed to use past market data to mark key price action levels as well as provide a different kind of insight. There are 8 different features in the script that users can turn on and off. This description will go in depth on all 8 with chart examples.
#1 Absorption Zones
I defined Absorption Zones as follows.
//----------------------------------------------
//---------------Absorption---------------------
//----------------------------------------------
box absorptionBox = na
absorptionBar = ta.highest(bodySize, absorptionLkb)
bsab = ta.barssince(bool(ta.change(absorptionBar)))
if bsab == 0 and upBar and showAbsorption
absorptionBox := box.new(left = bar_index - 1, top = close, right = bar_index + az_strcuture, bottom = open, border_color = color.rgb(0, 80, 75), border_width = boxLineSize, bgcolor = color.rgb(0, 80, 75))
absorptionBox
else if bsab == 0 and downBar and showAbsorption
absorptionBox := box.new(left = bar_index - 1, top = close, right = bar_index + az_strcuture, bottom = open, border_color = color.rgb(105, 15, 15), border_width = boxLineSize, bgcolor = color.rgb(105, 15, 15))
absorptionBox
What this means is that absorption bars are defined as the bars with the largest bodies over a selected lookback period. Those large bodies represent areas where price may react. I was inspired by the concept of a Fair Value Gap for this concept. In that body price may enter to be a point of support or resistance, market participants get “absorbed” in the area so price can continue in whichever direction.
#2 Candle Wick Theory/Strategy
I defined Candle Wick Theory/Strategy as follows.
//----------------------------------------------
//---------------Candle Wick--------------------
//----------------------------------------------
highWick = upBar ? high - close : downBar ? high - open : na
lowWick = upBar ? open - low : downBar ? close - low : na
upWick = upBar ? close + highWick : downBar ? open + highWick : na
downWick = upBar ? open - lowWick : downBar ? close - lowWick : na
downDelivery = upBar and downBar and high > upWick and highWick > lowWick and totalSize > totalSize and barstate.isconfirmed and session.ismarket
upDelivery = downBar and upBar and low < downWick and highWick < lowWick and totalSize > totalSize and barstate.isconfirmed and session.ismarket
line lG = na
line lE = na
line lR = na
bodyMidpoint = math.abs(body) / 2
upWickMidpoint = math.abs(upWickSize) / 2
downWickkMidpoint = math.abs(downWickSize) / 2
if upDelivery and showCdTheory
cpE = chart.point.new(time, bar_index - 1, downWickkMidpoint)
cpE2 = chart.point.new(time, bar_index + bl, downWickkMidpoint)
cpG = chart.point.new(time, bar_index + bl, downWickkMidpoint * (1 + tp))
cpR = chart.point.new(time, bar_index + bl, downWickkMidpoint * (1 - sl))
cpG1 = chart.point.new(time, bar_index - 1, downWickkMidpoint * (1 + tp))
cpR1 = chart.point.new(time, bar_index - 1, downWickkMidpoint * (1 - sl))
lG := line.new(cpG1, cpG, xloc.bar_index, extend.none, color.green, line.style_solid, 1)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.white, line.style_solid, 1)
lR := line.new(cpR1, cpR, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
lR
else if downDelivery and showCdTheory
cpE = chart.point.new(time, bar_index - 1, upWickMidpoint)
cpE2 = chart.point.new(time, bar_index + bl, upWickMidpoint)
cpG = chart.point.new(time, bar_index + bl, upWickMidpoint * (1 - tp))
cpR = chart.point.new(time, bar_index + bl, upWickMidpoint * (1 + sl))
cpG1 = chart.point.new(time, bar_index - 1, upWickMidpoint * (1 - tp))
cpR1 = chart.point.new(time, bar_index - 1, upWickMidpoint * (1 + sl))
lG := line.new(cpG1, cpG, xloc.bar_index, extend.none, color.green, line.style_solid, 1)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.white, line.style_solid, 1)
lR := line.new(cpR1, cpR, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
lR
First I get the size of the wicks for the top and bottoms of the candles. This depends on if the bar is red or green. If the bar is green the wick is the high minus the close, if red the high minus the open, and so on. Next, the script defines the upper and lower bounds of the wicks for further comparison. If the candle is green, it's the open price minus the bottom wick. If the candle is red, it's the close price minus the bottom wick, and so on. Next we have the condition for when this strategy is present.
Down delivery:
Occurs when the previous candle is green, the current candle is red, and:
The high of the current candle is above the upper wick of the previous candle.
The size of the current candle's top wick is greater than its bottom wick.
The total size of the previous candle is greater than the total size of the current candle.
The current bar is confirmed (barstate.isconfirmed).
The session is during market hours (session.ismarket).
Up delivery:
Occurs when the previous candle is red, the current candle is green, and:
The low of the current candle is below the lower wick of the previous candle.
The size of the current candle's bottom wick is greater than its top wick.
The total size of the previous candle is greater than the total size of the current candle.
The current bar is confirmed.
The session is during market hours
Then risk is plotted from the percentage that users can input from an ideal entry spot.
#3 Candle Size Theory
I defined Candle Size Theory as follows.
//----------------------------------------------
//---------------Candle displacement------------
//----------------------------------------------
line lECD = na
notableDown = bodySize > bodySize * candle_size_sensitivity and downBar and session.ismarket and barstate.isconfirmed
notableUp = bodySize > bodySize * candle_size_sensitivity and upBar and session.ismarket and barstate.isconfirmed
if notableUp and showCdSizeTheory
cpE = chart.point.new(time, bar_index - 1, close)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, close)
lECD := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.rgb(0, 80, 75), line.style_solid, 3)
lECD
else if notableDown and showCdSizeTheory
cpE = chart.point.new(time, bar_index - 1, close)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, close)
lECD := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.rgb(105, 15, 15), line.style_solid, 3)
lECD
This plots candles that are “notable” or out of the ordinary. Candles that are larger than the last by a value users get to specify. These candles' highs or lows, if they are green or red, act as levels for support or resistance.
#4 Candle Structure Theory
I defined Candle Structure Theory as follows.
//----------------------------------------------
//---------------Structure----------------------
//----------------------------------------------
breakDownStructure = low < low and low < low and high > high and upBar and downBar and upBar and downBar and session.ismarket and barstate.isconfirmed
breakUpStructure = low > low and low > low and high < high and downBar and upBar and downBar and upBar and session.ismarket and barstate.isconfirmed
if breakUpStructure and showStructureTheory
cpE = chart.point.new(time, bar_index - 1, close)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, close)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.teal, line.style_solid, 3)
lE
else if breakDownStructure and showStructureTheory
cpE = chart.point.new(time, bar_index - 1, open)
cpE2 = chart.point.new(time, bar_index + bl_strcuture, open)
lE := line.new(cpE, cpE2, xloc.bar_index, extend.none, color.red, line.style_solid, 3)
lE
It is a series of candles to create a notable event. 2 lower lows in a row, a lower high, then green bar, red bar, green bar is a structure for a breakdown. 2 higher lows in a row, a higher high, red bar, green bar, red bar for a break up.
#5 Candle Swing Structure Theory
I defined Candle Swing Structure Theory as follows.
//----------------------------------------------
//---------------Swing Structure----------------
//----------------------------------------------
line htb = na
line ltb = na
if totalSize * swing_struct_sense < totalSize and upBar and downBar and high > high and showSwingSturcture and session.ismarket and barstate.isconfirmed
cpS = chart.point.new(time, bar_index - 1, high)
cpE = chart.point.new(time, bar_index + bl_strcuture, high)
htb := line.new(cpS, cpE, xloc.bar_index, color = color.red, style = line.style_dashed)
htb
else if totalSize * swing_struct_sense < totalSize and downBar and upBar and low > low and showSwingSturcture and session.ismarket and barstate.isconfirmed
cpS = chart.point.new(time, bar_index - 1, low)
cpE = chart.point.new(time, bar_index + bl_strcuture, low)
ltb := line.new(cpS, cpE, xloc.bar_index, color = color.teal, style = line.style_dashed)
ltb
A bearish swing structure is defined as the last candle’s total size, times a scalar that the user can input, is less than the current candles. Like a size imbalance. The last bar must be green and this one red. The last high should also be less than this high. For a bullish swing structure the same size imbalance must be present, but we need a red bar then a green bar, and the last low higher than the current low.
#6 Fractal Boxes
I define the Fractal Boxes as follows
//----------------------------------------------
//---------------Fractal Boxes------------------
//----------------------------------------------
box b = na
int indexx = na
if bar_index % (n * 2) == 0 and session.ismarket and showBoxes
b := box.new(left = bar_index, top = topBox, right = bar_index + n, bottom = bottomBox, border_color = color.rgb(105, 15, 15), border_width = boxLineSize, bgcolor = na)
indexx := bar_index + 1
indexx
The idea of this strategy is that the market is fractal. It is considered impossible to be able to tell apart two different time frames from just the chart. So inside the chart there are many many breakouts and breakdowns happening as price bounces around. The boxes are there to give you the view from your timeframe if the market is in a range from a time frame that would be higher than it. Like if we are inside what a larger time frame candle’s range. If we break out or down from this, we might be able to trade it. Users can specify a lookback period and the box is that period’s, as an interval, high and low. I say as an interval because it is plotted every n * 2 bars. So we get a box, price moves, then a new box.
#7 Potential Move Width
I define the Potential Move Width as follows
//----------------------------------------------
//---------------Move width---------------------
//----------------------------------------------
velocity = V(n)
line lC = na
line l = na
line l2 = na
line l3 = na
line l4 = na
line l5 = na
line l6 = na
line l7 = na
line l8 = na
line lGFractal = na
line lRFractal = na
cp2 = chart.point.new(time, bar_index + n, close + velocity)
cp3 = chart.point.new(time, bar_index + n, close - velocity)
cp4 = chart.point.new(time, bar_index + n, close + velocity * 5)
cp5 = chart.point.new(time, bar_index + n, close - velocity * 5)
cp6 = chart.point.new(time, bar_index + n, close + velocity * 10)
cp7 = chart.point.new(time, bar_index + n, close - velocity * 10)
cp8 = chart.point.new(time, bar_index + n, close + velocity * 15)
cp9 = chart.point.new(time, bar_index + n, close - velocity * 15)
cpG = chart.point.new(time, bar_index + n, close + R)
cpR = chart.point.new(time, bar_index + n, close - R)
if ((bar_index + n) * 2 - bar_index) % n == 0 and session.ismarket and barstate.isconfirmed and showPredictionWidtn
cp = chart.point.new(time, bar_index, close)
cpG1 = chart.point.new(time, bar_index, close + R)
cpR1 = chart.point.new(time, bar_index, close - R)
l := line.new(cp, cp2, xloc.bar_index, extend.none, color.aqua, line.style_solid, 1)
l2 := line.new(cp, cp3, xloc.bar_index, extend.none, color.aqua, line.style_solid, 1)
l3 := line.new(cp, cp4, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
l4 := line.new(cp, cp5, xloc.bar_index, extend.none, color.red, line.style_solid, 1)
l5 := line.new(cp, cp6, xloc.bar_index, extend.none, color.teal, line.style_solid, 1)
l6 := line.new(cp, cp7, xloc.bar_index, extend.none, color.teal, line.style_solid, 1)
l7 := line.new(cp, cp8, xloc.bar_index, extend.none, color.blue, line.style_solid, 1)
l8 := line.new(cp, cp9, xloc.bar_index, extend.none, color.blue, line.style_solid, 1)
l8
By using the past n bar’s velocity, or directional speed, every n * 2 bars. I can use it to scale the close value and get an estimate for how wide the next moves might be.
#8 Linear regression
//----------------------------------------------
//---------------Linear Regression--------------
//----------------------------------------------
lr = showLR ? ta.linreg(close, n, 0) : na
plot(lr, 'Linear Regression', color.blue)
I used TradingView’s built in linear regression to not reinvent the wheel. This is present to see past market strength of weakness from a different perspective.
User input
Users can control a lot about this script. For the strategy based plots you can enter what you want the risk to be in percentages. So the default 0.01 is 1%. You can also control how far forward the line goes.
Look back at where it is needed as well as line width for the Fractal Boxes are controllable. Also users can check on and off what they would like to see on the charts.
No indicator is 100% reliable, do not follow this one blindly. I encourage traders to make their own decisions and not trade solely based on technical indicators. I encourage constructive criticism in the comments below. Thank you.
Fibonacci Snap Tool [TradersPro]
OVERVIEW
The Fibonacci Snap tool automatically snaps to the swing high and swing low of the price data shown on the chart display. Fibonacci retracement levels can be used for entry, exit, or as a confirmation of trend continuation.
If the swing high on the chart comes before the swing low, the price is in a downtrend.If the swing high comes after the swing low, the price is in an uptrend.
We call the 23.60% Fibonacci level the momentum zone of the trend. Price in a solid trend, either up or down, will typically hold the 23.60% Fibonacci level as support (demand) in an uptrend or resistance (supply) in a downtrend.
Deeper Fibonacci levels of 38.20%, 50.00%, and 61.80% are corrective supply/demand zones. As price moves against the found trend, it can move into this range block we call the corrective zone.
Fibonacci retracement levels are used to identify potential supply/demand areas where price could reverse or consolidate. These levels are based on key ratios derived from the Fibonacci sequence, and we only use the core 23.60%, 38.20%, 50.00%, and 61.80% ratios.
CONCEPTS
Price action moves in trend cycles, these retracement levels help traders measure proportional relationships between the high/low swings in the price trend.
When a price trend is moving against the trend, traders can find opportunities to trade with the current trend at key Fibonacci levels. Fibonacci levels can be used to anticipate where price might find supply/demand imbalance and continue moving in the trend direction.
Traders apply the indicator by selecting a window of price they want to analyze in the chart display, and the Fibonacci Snap tool will snap to the high and low of the visible price display.
The Intent and Use of This Tool
The 23.60% level acts as a momentum or continuation of trend. The 38.20% to 61.80% range are corrective zones of the trend.
The 61.80% level, also known as the golden ratio (Google the term “Golden Ratio”; it's fun), can often represent the location of supply/demand imbalance.
In an uptrend, it can represent the area of no more selling supply, and the balance can shift to buying demand. In a downtrend, it can represent the area of no more buying demand and the balance can shift to selling supply.
When used with the Momentum Zones indicator, these two tools create a powerful combination for traders to find, implement, and manage trades.
Double FVG-BPR [QuantVue]The Double FVG BPR Indicator is a versatile tool that helps traders identify potential support and resistance levels through the concept of balanced price ranges.
A Balanced Price Range (BPR) is a zone on a price chart where the market has found equilibrium after a period of price imbalance.
It is identified by detecting a Fair Value Gap (FVG) in one direction, followed by an overlapping Fair Value Gap in the opposite direction.
Components of a Balanced Price Range
Fair Value Gap (FVG): A FVG occurs when there is a rapid price movement, creating a gap in the price chart where minimal trading occurs. This gap represents an imbalance between supply and demand.
Bullish FVG: A bullish FVG is identified when the low of a candle is higher than the high of a candle two periods ago, and the close of the previous candle is higher than the high of that same period.
Bearish FVG: A bearish FVG is identified when the high of a candle is lower than the low of a candle two periods ago, and the close of the previous candle is lower than the low of that same period.
Overlapping Fair Value Gap: For a BPR to be formed, an initial FVG must be followed by an overlapping FVG in the opposite direction. This creates a balanced zone where the price has moved up (or down) quickly and then moved down (or up) with similar intensity, suggesting a temporary equilibrium.
The area between the high and low points of these overlapping FVGs forms the BPR. This zone represents a temporary market equilibrium where supply and demand have balanced out after a period of significant price movement in both directions.
How to Use
Support and Resistance Levels: The upper and lower boundaries of the BPR act as dynamic support and resistance levels. Traders can use these levels to place buy and sell orders, anticipating that the price may find support or face resistance within these zones.
Trend Reversal and Continuation: The BPR can signal potential trend reversals or continuations.
If the price moves back into the BPR after a breakout, it may indicate a reversal. Conversely, if the price breaks out of the BPR with strong momentum, it may signal a trend continuation.
MTF Fair Value Gap Indicator ULTRAFVG Fair Value Gap Indicator
FVG's commonly known as Fair Value Gaps are mostly in use for forex trading, however it’s been widely used in price action trading, even on regular large cap stocks. Think of it as an imbalance area where the price of the stock may actually be under/over valued due to many orders being injected in a short amount of time, ie . a gap caused by an impulse created by the speed of the price movement. In essence, the FVG can become a kind of magnet drawing the price back to that level to attempt to balance out the orders (when? we don't know). Please do research to understand the concept of FVG's.
You can look for an opportunity as price approaches the FVG for entry either long/short because after all, it is an "Area of Interest" so the price will either bounce or blow through the area. No indicator works 100% of the time so take in context as just another indicator. It tends work on larger time frames best.
IMPORTANT TV RELATED LIMITATIONS: You should take the time to understand the following. A MAXIMUM of 500 boxes and labels are allowed, thus if you elect to display many different time frames of FVGs and/or select to not auto delete old Daily FVGs, the oldest FVGs will be deleted and not be seen. Additionally if you are on a smaller chart time frame (1 min), you may not see older FVGs such as Daily ones that occurred and still exist from long ago. This is due to TV limitation of 20,000 candles of history in each chart timeframe. Example: A 1 minute chart supports approximately 14 days worth of data so looking for Daily FVGs would only go back that far, whereas if your chart was set to 5 minutes you'd be able to see 5 times as many, ie . 60 days worth of Daily FVG's. Obviously setting your chart and looking for Daily FVG's would support up to 20,000 days worth.
The Indicator Provides many different features:
*Creation of FVG's for all hours or just during market hours. Currently you can enable FVG’s for the following timeframes: Current chart timeframe, 5Min, 10Min, 15Min, 1Hr, 4Hr, 8Hr, Daily, Weekly, Monthly.
*Text label displays overlaying FVG bands including creation timestamps.
* Bands reflecting FVG's in action (created/deleted) for the current chart time frame, 15min, 1hr, 4hr, 8hr and daily time frames. The FVG's will be overlayed on the chart if enabled.
*Mitigation Action - Normal - When FVG is balanced out by price action, the FVG will disappear. Dynamic - The FVG band will decrease as the price movement eats into it thus only showing the remaining imbalance. None - For those that wish to retain FVG's even if they were mitigated. Half - FVG’s disappear when the price intrudes 50% of the overall FVG band zone.
*Mitigation Type - The elimination or balancing of the FVG is caused by either the candle wick or body passing completely through the FVG.
*Maximum FVGs - A maximum number of FVGs are created for each different enabled time frame (be aware setting a large number could impact system performance).
*All FVG band colors can be customized by the user.
* All FVG bands auto extend to the right.
* Intrusion Alerts - Trading View alerts are supported. You can use the indicator settings to enable an alert if the price intrudes into the FVG zone by a certain percentage. This is not related to mitigation or removal of the FVG, just a warning that price has reached the area of interest.
ZEN ALL IN ONE 🍵This custom indicator is a fusion of market structure, value zones, and institutional footprints — combining Moving Averages (MA's), the Volume-Weighted Average Price (VWAP), and Fair Value Gaps (FVG's) into a cohesive analytical tool designed for traders who seek precision, timing, and deeper insight into market behavior.
Moving Averages (MA’s):
At the foundation of this tool are dynamic Moving Averages that adapt to price evolution over time. Whether you're identifying long-term trends with higher-period MA's or short-term momentum shifts with faster ones, these lines serve as the backbone of directional bias — smoothing out noise and highlighting the core movement of the market. They help reveal whether the current environment favors continuation or reversal, offering a clear lens through which to interpret price action.
VWAP (Volume Weighted Average Price):
Layered atop this structure is the VWAP — a true measure of value and institutional sentiment. Unlike simple averages, VWAP accounts for volume at price, showing where the majority of trading activity has taken place. It acts as a gravitational center — a magnet for price in range-bound markets, and a dividing line in trending conditions. Professional traders and institutions often use VWAP as a benchmark, and when price deviates too far from it, mean reversion or breakout behaviors tend to emerge. This tool integrates VWAP to give you the "true price" — the one backed by volume and consensus.
Fair Value Gaps (FVG’s):
But value alone isn’t enough — we also need to know where price should return. That’s where Fair Value Gaps come in. These imbalances, often created by aggressive institutional moves, highlight inefficiencies in price delivery. When price moves too fast, it often skips levels — leaving behind areas where few or no trades occurred. These gaps are not just artifacts of speed — they’re magnets for future price action. By visualizing these FVGs, this indicator lets you anticipate retracements, identify liquidity zones, and spot potential reversal or continuation points before the crowd.
Together, a Unified Lens:
By combining these three elements — MA's for trend, VWAP for value, and FVG's for imbalance — this indicator becomes more than the sum of its parts. It's a roadmap that shows you where price is, where it’s likely to go, and where it should go. Whether you're day trading momentum or swing trading structure, this hybrid model provides multiple layers of confluence to refine your entries, exits, and overall market bias.
Trade with clarity. Trade with alignment. Trade where structure meets story.
MA Thrust Processor | QuantEdgeB⚡MA Thrust Processor | QuantEdgeB
🔭 What is the MA Thrust Processor?
The MA Thrust Processor (MTP) is a dynamic and modular market momentum engine that specializes in thrust-based signal analysis derived from smoothed moving averages. It’s engineered to model directional commitment, detect signal imbalances, and visualize structural momentum in a range of market conditions.
🧬 Think of MTP as a precision-engineered motion sensor — decoding strength, follow-through, and structural imbalance in real time — it detects force, direction, velocity, and alignment, adapting based on your preferred calculation model (Wave, Thrust, Z-Score, or Normalized) and signal mode (Impulse, Trend, or HA Candles).
_______________________
1. 🔧 System Core: Customizability and Processing Engine
📊 Moving Average Types
MA Thrust Processor supports a rich menu of 13+ moving average styles:
• Standard: SMA, EMA, WMA
• Advanced: HMA, LSMA, ALMA, JMA, TEMA, DEMA, SMMA
• Volume-Based: VWMA
• Adaptive Models: VIDYA (3 modes), FRAMA
💡 Each MA type acts as the backbone for signal smoothing and thrust deviation modeling, giving the user tight control over behavior and lag tradeoffs.
⚙️ Calculation Methods (MA Derivatives)
You choose how the core value is calculated:
1️⃣ 𝓦𝓪𝓿𝓮
• Sine-wave modeled oscillator
• Combines MA distance with standard deviation normalization
• Ideal for detecting divergences and cyclical structure
• Output includes center, smoothed line , and histogram.
2️⃣ 𝓣𝓱𝓻𝓾𝓼𝓽
• Calculates MA deviation vs. price and midpoint
• Captures aggressive directional pushes relative to range center
• Excellent for breakout/trend force analysis
3️⃣ 𝓩-𝓢𝓬𝓸𝓻𝓮
• Mean-reverting z-score over MA
• Expresses statistical distance from norm
• Used in reversion or probabilistic strategies
4️⃣ 𝓝𝓸𝓻𝓶𝓪𝓵𝓲𝔃𝓮𝓭
• Scales MA output to 0–1 (centered at 0.5)
• Tracks where the signal lies in its own relative range
• Great for flat vs. trending recognition
_______________________
2. 🧨 SIGNAL MODES – The Behavioral Core
The system supports 3 powerful signal modes that define how the thrust logic is interpreted and visualized.
1️⃣ 𝓘𝓶𝓹𝓾𝓵𝓼𝓮 Mode
🔥 Use Case: Breakouts, aggressive reversals, divergences
🔍 Logic:
• In Wave mode: compares Wave O (oscillator) and S (smoothed)
• In Thrust/Z-Score/Normalized: applies thresholds (static, SD, or percentile)
• Detects sharp departures or rejections from bounds
🎯 Ideal for:
• Scalp or event trades
• High-velocity moves
• Leading edge of trend or compression breaks
2️⃣ 𝓣𝓻𝓮𝓷𝓭 Mode
🧭 Use Case: Stable continuation and trend following
🔍 Logic:
• Signal triggers when value crosses a calculated midline or long-term average
• Thresholds: midline or 365-SMA of smoothed value
• Acts as a stable “bias direction” for trades
🎯 Ideal for:
• Swing trading
• Portfolio allocations
• Holding directional exposure longer
3️⃣ 𝓗𝓐 𝓒𝓪𝓷𝓭𝓵𝓮𝓼 Mode
🎨 Use Case: Visual clarity + phase detection
🔍 Logic:
• Converts signal to Heikin-Ashi candles
• Adds logic for momentum, reversal, continuation, or chop
• Highly discretionary and pattern-oriented
🎯 Ideal for:
• Visual traders
• Phase-based strategies
• Avoiding false positives in chop
_______________________
3. 📊 System Sensor Table (Strength Meter)
MA Thrust Processor includes a sophisticated sensor display with multi-layered insights.
🔁 Signal State
• Long ⟹ bullish conviction or thrust
• Short ⟹ bearish dominance or rejection
• Cash ⟹ neutrality or low conviction
Dynamically generated by logic mode and indicator thresholds.
📊 Strength Bars: Conviction + Potential
Strength output is never binary — instead, it’s expressed via:
1️⃣ Conviction Strength (when signal is active):
• Score from 0% to 100%
• Based on:
o Momentum velocity (Rate of Change)
o Distance from key thresholds
o Divergence signal (Wave mode)
o Flat signal detection (for Normalized)
2️⃣ Potential Strength (when signal = neutral):
• Displays both Bullish and Bearish readiness
• Interprets which side is loading pressure
• Helps traders spot “who has the edge” before breakout
👀 In Wave Mode, potential is calculated from oscillator vs. smoothed
👀 In Impulse/Trend, it blends distance + RoC + signal stability
🔸 HA Candle Phase (HA Mode Only)
When HA mode is active, strength bars are replaced with a live phase classifier:
• Momentum Up/Down: price above/below threshold + same color trend
• Reversal Up/Down: price above/below bounds, opposite signal color
• Continuation Up/Down: following a breakout/confirmation
• Chop: indecision zone
• Neutral: no clear trend
This turns HA mode into a narrative engine, expressing what’s happening, why, and what might come next.
_______________________
4. 🧠 Smart Auto-Configuration
Enabling Use Recommended Settings triggers optimized configurations:
• Pre-set thresholds (static, percentile, SD)
• Ideal lengths for each logic type
• Proper bounds scaling
• MA selections that match the logic
For example:
• Impulse + Thrust ⇒ shorter length + SD
• Trend + Z-Score ⇒ long mean-based
• Wave ⇒ balanced smoothing + SD blend
_______________________
5. 🧪 Summary of Use Cases
Each mode and calculation method within the MA Thrust Processor is tailored for specific trading styles and market conditions. Here’s how to think about their best applications:
🔹 Signal Modes
Impulse Mode is designed for speed and responsiveness. It excels in fast markets where breakouts or sharp reversals happen quickly. Ideal for scalpers, intraday traders, or anyone looking to catch momentum just as it ignites. It’s particularly effective around high-impact events like economic reports or news catalysts, as it picks up directional shifts rapidly.
Trend Mode focuses on longer-term, stable price action. It identifies directional bias using midline or average-based thresholds, making it best for swing traders and trend followers. Because of its stability, it filters out minor fluctuations and helps you stay in trades longer when the directional move is sustained.
HA Candles Mode is for traders who prefer a visual, phase-based approach. It smooths data using Heikin-Ashi logic and adds interpretive layers like "Momentum," "Reversal," or "Chop" to describe what’s happening structurally. This is excellent for discretionary traders, those who use price rhythm or structure, and those seeking cleaner entry points in noisy environments.
🔹 Calculation Methods
Wave is an oscillator-based model. It detects momentum swings and divergence between price and the smoothed oscillator. Great for spotting early reversals, pullback continuations, or cyclical rhythm patterns. In Impulse mode, it shows histogram shifts that reflect internal thrust dynamics.
Thrust quantifies directional pressure by comparing the signal’s distance from both the midpoint of price range and an SMA. This method is powerful when you want to assess how much true force is behind a move — especially useful during breakout scenarios or strong directional pushes.
Z-Score mode normalizes the signal to its statistical distance from the mean. This makes it ideal for mean reversion strategies or situations where price has deviated too far from historical behavior. Traders can look for exhaustion zones or pullback opportunities with greater confidence.
Normalized rescales the signal within a 0–1 range (centered at 0.5), helping traders understand where the price sits within its own context — whether it’s relatively extended or compressed. It’s great for range traders, flat market identification, or mapping gradual bias accumulation.
_______________________
Each mode and method has been thoughtfully designed to align with different strategy frameworks — and switching between them completely reconfigures the way the system operates, giving traders unmatched flexibility across timeframes and asset classes
_______________________
🧭 Conclusion
MA Thrust Processor isn’t just a tool - it’s a precision-calibrated thrust engine that gives market context form. It lets you define your logic, style, and MA behavior while delivering rich visual output and conviction-based strength insight.
Whether you're reading momentum waves, modeling thrust deviation, or interpreting candle structure, MTP adapts to your strategy.
🚀 From short-term scalps to long-term rotations, MTP delivers signal clarity with the quantitative conviction needed in modern markets.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
SMT Divergence ICT 02 [TradingFinder] Smart Money Technique SMC🔵 Introduction
SMT Divergence (Smart Money Technique Divergence) is a price action-based trading concept that detects discrepancies in market behavior between two assets that are generally expected to move in the same direction. Rooted in ICT (Inner Circle Trader) methodology, this approach helps traders recognize subtle signs of market manipulation or imbalance, often ahead of traditional indicators.
The core idea behind SMT divergence is simple: when two correlated instruments—such as currency pairs, indices, or assets from the same sector—start forming different swing points (highs or lows), this can reveal a lack of confirmation in the trend. Such divergence is often a precursor to a price reversal or pause in momentum.
This technique works effectively across various markets including Forex, stocks, and cryptocurrencies. It’s particularly valuable when used alongside concepts like liquidity sweeps, market structure breaks (MSBs), or order block identification.
In advanced use cases, Sequential SMT helps uncover patterns of alternating divergences across sessions, often signaling engineered liquidity traps before price reacts.
When combined with the Quarterly Theory—which segments market behavior into Accumulation, Manipulation, Distribution, and Continuation/Reversal phases—traders gain insight not only into where divergence happens, but when it's most likely to be significant within the market cycle.
Bullish SMT :
Bullish SMT Divergence occurs when one asset prints a higher low while the correlated asset forms a lower low. This asymmetry often suggests that the downside move is losing strength, hinting at a potential bullish shift.
Bearish SMT :
Bearish SMT Divergence is formed when one asset creates a higher high, while the second asset fails to confirm by printing a lower high. This typically signals weakening bullish pressure and the possibility of a reversal to the downside.
🔵 How to Use
The SMT Divergence indicator is designed to detect imbalances between two positively correlated assets—such as major currency pairs, indices, or commodities. These divergences often indicate early signs of market inefficiency or smart money manipulation and can help traders anticipate trend shifts with higher precision.
Unlike traditional divergence indicators or earlier versions of this script, this upgraded version does not rely solely on consecutive pivot comparisons. Instead, it dynamically scans all available pivots within the chart to identify divergences at any structural level—major or minor—across the price action. This broader detection method increases the reliability and frequency of meaningful SMT signals.
Moreover, when integrated with Sequential SMT logic, the indicator is capable of identifying multiple divergence sequences across sessions. These sequences often signal engineered liquidity traps and can be mapped within the Quarterly Theory framework, allowing traders to pinpoint not just the presence of divergence but also the phase of the market cycle it appears in (Accumulation, Manipulation, Distribution, or Continuation).
🟣 Bullish SMT Divergence
This signal occurs when the primary asset forms a higher low, while the correlated asset forms a lower low. This pattern implies weakening bearish momentum and a potential shift to the upside.
If the correlated asset breaks its previous low but the primary asset does not, this divergence suggests absorption of selling pressure and possible accumulation by smart money—making it a strong bullish signal, especially when aligned with a favorable market phase (e.g., the end of a manipulation phase in Q2).
🟣 Bearish SMT Divergence
This signal occurs when the primary asset creates a higher high, while the correlated asset forms a lower high. This mismatch indicates fading bullish momentum and a potential reversal to the downside.
If the correlated asset fails to confirm a breakout made by the main asset, the divergence may point to distribution or exhaustion. When seen within Q3 or Q4 phases of the Quarterly Theory, this pattern often precedes sharp declines or fake-outs engineered by smart money
🔵 Settings
⚙️ Logical Settings
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵Conclusion
The SMT Plus indicator offers a refined and powerful approach to detecting smart money behavior through divergence analysis between correlated assets. By removing the limitations of consecutive pivot comparisons and allowing for broader structural detection, it captures more accurate and timely signals that often precede major market moves.
When paired with frameworks like Sequential SMT and the Quarterly Theory, the indicator not only highlights where divergence occurs, but also when in the market cycle it's most likely to matter. Its flexible settings, customizable visuals, and integrated alert system make it suitable for intraday scalpers, swing traders, and even long-term macro analysts.
Whether you're using it as a standalone decision-making tool or combining it with other ICT concepts, SMT Plus gives you an edge in recognizing manipulation, timing reversals, and staying in sync with the real market narrative—not just the chart.
Gap Fill DetectorThe Gap Fill Detector is a visual tool designed to highlight potential price imbalances caused by sudden, sharp movements following periods of low volatility or indecision. These events can often result in "gaps" or "voids" in price action that may later attract a return move — commonly referred to as a gap fill.
This indicator helps traders visually identify these unique conditions and monitor whether price revisits the origin of the move. It does so by marking the location of the price gap and providing a clean, color-coded interface to track price interaction with that level over time.
🔧 Key Features
🔸 Highlight Zones
When the script detects a potential gap-forming move, the background of the triggering candle is highlighted. These areas represent potential moments of price imbalance or sudden breakout behavior.
🔸 Gap Fill Line
A horizontal line is drawn from the close of the candle before the spike (representing the likely gap origin). This line acts as a reference for tracking whether price returns to "fill" the gap. The line is persistent but will automatically hide once price intersects it, or if another gap signal occurs.
🔸 Intelligent Auto-Hide Logic
Once the gap line has been touched by price or interrupted by a new spike event, it is removed from view. This keeps the chart clean and avoids clutter from outdated signals.
🔸 Dynamic Fill Shading
The area between the current price and the gap line is filled with a color-coded visual cue:
🟩 Green Fill: When price is above the gap line — a possible bullish continuation.
🟪 Purple Fill: When price is below the gap line — a potential retracement or bearish correction. Fill transparency is customizable to blend with your chart style.
🔸 Stability Zones (Optional)
Users can optionally enable shaded background zones to mark extended periods of price stagnation. These zones may help identify moments where the market is "winding up" before releasing energy in the form of a fast move.
⚙️ Customization Options
Base highlight color & transparency
Enable/disable stability zone highlighting
Adjustable gap fill area transparency
✅ Use Cases
This tool is ideal for:
Intraday traders seeking gap fills or mean reversion setups
Swing traders identifying sudden breakouts for future re-entry
Visual traders who want a clean, automated way to spot and manage price dislocations
