Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW
The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned.
Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders.
It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction.
Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious.
🔵 CONCEPTS
Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops).
Market makers & large players often push price into these zones to trigger stops and capture liquidity.
The indicator uses recent volatility + volume expansion to estimate where these pools exist.
Horizontal heat bars show depth and intensity of probable liquidity.
Profile side histogram displays buy-side vs sell-side liquidity distribution.
🔵 FEATURES
Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior.
Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price.
Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation.
Real-Time Heat Coloring
• Lime = liquidity below price (potential buy-side fuel)
• Blue = liquidity above price (potential sell-side fuel)
• Orange = peak liquidity (POC)
Liquidity Profile Histogram — plotted at right side, layered by strength.
Auto-Cleaning Engine — removes invalidated liquidity after breaks.
Adjustable lookback window and bin resolution .
🔵 HOW TO USE
Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps.
Orange POC often acts as magnet — strong target zone for smart money.
Combine with SFP / BOS logic to time reversals after liquidity hunts.
In trend, price repeatedly sweeps opposite-side liquidity before continuation.
Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa.
Great for scalping sessions, indices, FX, BTC, ETH.
🔵 CONCLUSION
The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides.
It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC).
Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
Wskaźniki i strategie
Combined Signal + Auto Day Plan + Volume🧠 Combined Signal + Auto Day Plan + Volume
Version: Pine Script v5
Category: Strategy / Signal & Levels Tool
Author: (you can add your TradingView nickname)
📋 Overview
The Combined Signal + Auto Day Plan + Volume indicator merges multiple professional trading concepts into one visual tool — helping traders identify momentum shifts, entry zones, and daily trading plans with volume confirmation.
It automatically detects trend direction, generates dynamic take-profit & stop-loss levels, and overlays key daily reference points such as VWAP, pivot, support, and resistance zones based on ATR and trend context.
⚙️ Main Components
1️⃣ Signal System
Detects trend bias using SMA-based logic.
Generates entry price, TP1–TP3, and SL dynamically from recent impulse ranges.
Updates signals automatically when trend bias changes or previous targets are hit.
Visual levels are drawn directly on the chart.
2️⃣ Volume Analysis
Compares current volume against a moving average (SMA).
Classifies volume as:
🟢 Strong (above 1.5× average)
🟡 Average
🔴 Weak (below 0.8× average)
Displays the current volume strength and trend bias in an on-chart table.
3️⃣ Auto Day Plan
Uses multi-timeframe ATR calculations to define:
Support / Resistance zones
Pivot & Balance areas
Daily VWAP
Auto Targets (ATR-based expansion levels)
Adapts automatically to selected base timeframe (1H, 4H, or Daily).
4️⃣ Trend Context
Dual EMA system (50 & 200) to confirm bullish/bearish structure.
Aligns expected direction with VWAP & pivot location for context-aware bias.
🎯 What You Get on Chart
📈 Automatic LONG/SHORT signals
🎯 TP1, TP2, TP3, and SL levels
📊 Volume strength meter
🧭 VWAP, pivot, support/resistance & balance zones
🎨 Clean visual layout for intraday and swing traders
🧩 Inputs
Parameter Description
lenImpulse Impulse range length
smaLen SMA length for trend bias
levelRatio SL/TP ratio multiplier
volLen Volume SMA length
baseTF Base timeframe for zones/VWAP
atrMult1 / atrMult2 ATR multipliers for target levels
fwdBars Extension range for future projection
💡 How to Use
Add the script to your chart and choose your preferred timeframe.
Observe signal direction (📈 LONG / 📉 SHORT) and TP/SL levels.
Confirm entries when:
Trend aligns with VWAP direction, and
Volume category shows Strong or Average.
Use Auto Day Plan levels (pivot, balance, VWAP) as intraday reaction zones.
Advanced Liquidity Fibonacci Zones - Ace of TradesAdvanced Liquidity Fibonacci Zones – Ace of Trades Theory
How to Use This Script:
This advanced indicator visualizes key "liquidity zones" based on custom Fibonacci levels, reflecting the real areas where market makers, institutions, and advanced algorithms manage risk—far beyond basic retail “golden ratio” retracements. Unlike traditional tools, these zones align with the market maker theory popularized by Ace of Trades (@acethebully on X).
How to Paint the Highs and Lows
Select the Indicator ("Advanced Liquidity Fibonacci Zones – Ace of Trades Theory") and add it to your chart.
Use the two input fields to manually mark your key swing points:
Click the “Swing Low (0.0 Level)” input, then select a price bar on your chart for the swing low.
Click the “Swing High (1.0 Level)” input, then select the bar for your swing high.
These anchors will paint the exact price range that all fib zones are projected between.
The script will automatically draw all major liquidity/retracement/extension zones as colored bands or boxes across your chart, extended into the future for clear reference.
What Do the Zones Mean?
Zones are based on Ace of Trades' market maker theory. They're not just “lines”—they show where professional liquidity providers, algorithms, and institutional traders strategically rebalance, accumulate, or distribute.
Each zone is labeled with its precise fib ratio and price, with zone descriptions acknowledging their theoretical function (e.g., Golden Band, Momentum Pullback, Stop-Hunt Extension, Blow-Off Range, etc).
Best Practices
Use the script to identify areas where liquidity is expected to pool (for reaction or continuation), rather than just following retail golden ratios.
Paint your swing highs/lows cleanly—from the local low before an impulse, to the most relevant high after a move (or vice versa for down moves).
Observe how price reacts at these boundaries and plan entries/exits accordingly.
Special thanks and all intellectual credit to Ace of Trades (@acethebully on X) for his public education and original market maker insights.
This tool was developed to fully honor and operationalize the liquidity geometry theory from his work.
Tonmoys Ict UnicornA flipped version of the ICT Turtle Soup indicator. Reverses buy/sell logic and TP/SL directions for contrarian testing. Includes adaptive entries, dynamic/fixed risk modes, alerts, and a built-in backtest dashboard
Volume Momentum Div - [TCMaster]📘 Description
Volume + Momentum (Instant Alert) is a dynamic indicator designed to detect potential market tops and bottoms in real time by combining momentum shifts with volume spikes.
Unlike traditional oscillators that confirm signals only after candle close, this tool reacts instantly, providing early alerts during live market movements.
⚙️ How It Works
Momentum Calculation:
Measures the short-term price acceleration using the difference between the current price and the price n periods ago.
Rising momentum indicates bullish strength, while falling momentum shows bearish pressure.
Volume Spike Detection:
Compares current volume to its moving average.
When the current volume exceeds the average by a defined multiplier, it signals strong market participation — often appearing near market reversals.
Signal Logic:
Top Alert (🔻): Momentum turns negative while a volume spike occurs → potential short opportunity.
Bottom Alert (🔺): Momentum turns positive while a volume spike occurs → potential long opportunity.
🎯 Features
Real-time alerts (calc_on_every_tick=true) — signals trigger instantly during live candles.
Multiple plot styles available: Line, Histogram, or Columns.
Simple yet powerful logic suitable for scalping, intraday, and swing trading.
Works across all markets (forex, crypto, stocks, commodities).
💡 How to Use
Look for Volume Spikes — sudden increases in volume often mark exhaustion or breakout points.
Check Momentum Direction — combine with volume to confirm reversals.
Entry/Exit:
Buy when a green triangle (🔺) appears below the bar.
Sell when a red triangle (🔻) appears above the bar.
Optional Filters: For improved accuracy, combine with RSI, Stochastic, or trend filters (e.g., EMA200).
ALMA & EMA Ribbon by zdmreThis indicator combines a unique trend-following signal with a classic EMA ribbon to provide a clear view of the market trend.
The main signal line is not based on a typical ATR. Instead, it uses an Arnaud Legoux Moving Average (ALMA) as its baseline and calculates support/resistance bands using Standard Deviation. This creates a responsive trend line that adapts well to volatility. This is paired with a simple EMA Ribbon to help confirm momentum.
What It Does
ALMA + SD Trend Line: This is the core of the indicator. It uses an ALMA as the baseline (instead of a simple MA) and Standard Deviation for the bands. This tends to be more responsive than many traditional trend-following indicators.
Buy/Sell Signals: Simple "B" and "S" labels appear on your chart when the trend is calculated to have changed direction.
EMA Ribbon: A standard Fast/Slow EMA ribbon is plotted to give you a secondary confirmation of momentum. The fill between the EMAs changes color (green for bull, red for bear).
On-Screen Dashboard: A clean info panel in the corner shows you the current status of all components at a glance:
Current Signal (Long/Short)
Price vs. Trend Line (Above/Below)
Trend Strength (%)
EMA Trend (Bullish/Bearish)
Momentum
Fully Customizable: You can toggle every visual element on or off (the signals, the ribbon, the bar coloring, the dashboard) to keep your chart clean.
Settings
Trend Settings:
Factor: This is the main setting. It's the Standard Deviation multiplier. A higher value makes the line less sensitive (fewer signals). A lower value makes it more sensitive (more signals).
SD Length: The lookback for the Standard Deviation.
ALMA Settings:
ALMA Length, Sigma, Offset: Standard controls for the ALMA's smoothness and responsiveness.
EMA Ribbon:
Fast EMA & Slow EMA: Set the lengths for your ribbon.
Visual Settings:
Checkboxes to toggle all visual components (signals, ribbon, dashboard, etc.).
You can set up alerts in TradingView for the following events:
🟢 Long Signal: Triggers on a new "B" (Buy) signal.
🔴 Short Signal: Triggers on a new "S" (Sell) signal.
⚠️ Price Crossed Trend: Triggers any time the price closes across the main trend line.
#DYOR
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
Real Order Block Finder (Smart v1.0) (BIGAL)BigAl w/AI
I am sick of fake order block and ask for help from my dear AI friend.This the one my friend created.
Volumatic VIDYA – Pro+1. Professional & Clear (recommended for TradingView)
Volumatic VIDYA Pro+ combines a dynamic VIDYA trend filter, Delta Volume pressure, and automatic pattern recognition (Double/Triple Tops & Bottoms, Head & Shoulders).
A complete technical tool for detecting momentum shifts, trend reversals, and trade entries across multiple timeframes.
2. Short & Catchy
Adaptive VIDYA trendline + Delta Volume + Pattern detection in one tool.
Instantly visualize market bias, structure, and momentum strength.
3. Educational / Analytical
Analyze market dynamics with VIDYA-based trend filtering, volume delta analysis, and automated pattern recognition.
Ideal for traders who combine price action with quantitative confirmation.
Sector Analysis [SS]Introducing the most powerful sector analysis tool/indicator available, to date, in Pine!
This is a whopper indicator, so be sure to read carefully to ensure you understand its applications and uses!
First of all, because this is a whopper, let's go over the key functional points of the indicator.
The indicator compares the 11 main sector ETFs against whichever ticker you are looking at.
The functions include the following:
Ability to pull technicals from the sectors, such as RSI, Stochastic and Z-Score;
Ability to look at the correlation of the sector ETF to the current ticker you are looking at.
Ability to calculate the R2 value between the ticker you are looking at and each sector.
The ability to run a Two Tailed T-Test against the log returns of the Ticker of interest and the Sector (to analyze statistically significant returns between sectors/tickers).
The ability to analyze the distribution of returns across all sector ETFs.
The ability to pull buying and selling volume across all sector ETFs.
The ability to create an integrated moving average using a sector ETF to predict the expected close range of a ticker of interest.
These are the highlight functions. Below, I will go more into them, what they mean and how to use them.
Pulling Technicals
This is pretty straight forward. You can pull technicals, such as RSI, Stochastic and Z-Score from all the sector ETFs and view them in a table.
See below for the example:
Pulling Correlation
In order to see which sector your ticker of interest follows more closely, we need to look first at correlation and then at R2.
The correlation will look at the immediate relationship over a specified time. A highly positive value, indicates a strong, symbiotic relationship, which the sector and the ticker follow each other. This would be represented by a correlation of 0.8 or higher.
A strong negative correlation, such as -0.8 or lower, indicates that the sector and the ticker are completely opposite. When one goes up, the other goes down and vice versa.
You can adjust your correlation assessment length directly in the settings menu:
If you want to use a sector ETF to find the expected range for a ticker of interest, it is important to locate the highest, POSITIVE, correlation value. Here are the results for MSFT at a correlation lookback of 200:
In this example, we can see the best relationship is with the ETF XLK.
Analysis of R2
R2 is an important metric. It essentially measures how much of the variance between 2 tickers are explained by a simple, linear relationship.
A high R2 means that a huge degree of variance can be explained between the 2 tickers. A low R2 means that it cannot and that the 2 tickers are likely not integrated or closely related.
In general, if you want to use the sector ETF to find the mean and trading range and identify over-valuation/over-extension and under-extension statistically, you need to see both a high correlation and a high R-Squared. These 2 metrics should be analyzed together.
Let's take a look at MSFT:
Here, despite the correlation implying that XLK was the ticker we should use to analyze, when we look at the R Squared, we see actually, we should be using XLI.
XLI has a strong positive relationship with MSFT, albeit a bit less than XLK, but the R2 is solid, > 0.9, indicating the XLI explains much of MSFT's variance.
Two Tailed T-Test
A two tailed T-test analyzes whether there is a statistically significant difference between 2 different groups, or in our case, tickers.
The T-Test is conducted on the log returns of the ticker of interest and the sector. You then can see the P value results, whether it is significant or not. Let's look at MSFT again:
Looking at this, we can see there is no statistically significant difference in returns between MSFT and any of the sectors.
We can also see the SMA of the log returns for more detailed comparison.
If we were to observe a significant finding on the T-Test metrics, this would indicate that one sector either outperforms or underperforms your ticker to a statistically significant degree! If you stumble upon this, you would check the average log returns to compare against the average returns of your ticker of interest, to see whether there is better performance or worse performance from the sector ETF vs. your ticker of interest.
Analyzing the Distribution
The indicator will also analyze the distribution of returns.
This is an interesting option as it can help you ascertain risk. Normally distributed returns imply mean reverting behavviour. Deviations from that imply trending behaviour with higher risk expectancy. If we look at the distribution statistics currently over the last 200 trading days, here are the results:
Here, we can see all show signs of trending, as none of the returns are normally distributed. The highest risk sectors are XLK and XLY.
Why are they the highest risk?
Because the indicator has found a heavy right tailed distribution, indicated sudden and erratic mean reversion/losses are possible.
Creating an MA
Now for the big bonus of the indicator!
The indicator can actually create a regression based range from closely correlated sectors, so you can see, in sectors that are strongly correlated to your ticker, whether your ticker is over-bought, oversold or has mean reverted.
Let's look at MSFT using XLI, our previously identified sector with a high correlation and high R2 value:
The results are pretty impressive.
You can see that MSFT has rode the mean of the sector on the daily timeframe for quite some time. Each time it over extended itself above the sector implied range, it mean reverted.
Currently, if you were to trade based on Pairs or statistics, MSFT is no trade as it is currently trading at its sector mean.
If you are a visual person, you can have the indicator plot the mean reversion points directly:
Green represents a bullish mean reversion and red a bearish mean reversion.
Concluding Remarks
If you like pair trading, following the link between sectors and tickers or want a more objective way to determine whether a ticker is over-bought or oversold, this indicator can help you.
In addition to doing this, the indicator can provide risk insights into different sectors by looking at the distribution, as well as identify under-performing sectors or tickers.
It can also shed light on sectors that may be technically over-bought or oversold by looking at Z-Score, stochastics and RSI.
Its a whopper and I really hope you find it helpful and useful!
Thanks everyone for reading and checking this out!
Safe trades!
Block-Based Trend Breakout (UTB/DTB) & S/R ZonesThis indicator is designed to detect potential trend reversals or volatility bursts by analyzing price action structured into "blocks." Its primary goal is to capture the earliest signals that a defined trend structure is weakening or breaking.
Signal Generation:
🟢 DTB (Downtrend Breakout): When a confirmed downtrend is identified (e.g., price has been falling for 2 blocks), the indicator waits for the price to break above the highest high of the last completed block in that trend. When this break occurs, it signals a potential bullish reversal with a green DTB triangle below the bar.
🔴 UTB (Uptrend Breakdown): When a confirmed uptrend is identified (e.g., price has been rising for 2 blocks), the indicator waits for the price to break below the lowest low of the last completed block. When this break occurs, it signals a potential bearish reversal with a red UTB triangle above the bar.
🛠️ Key Settings
Block Size (bars): The number of bars in each block used to analyze the trend structure. Lower values track short-term trends; higher values track long-term trends.
Trend Confirmation (steps): The minimum number of consecutive blocks required to "confirm" a trend.
Tolerance: Allowed Off-Trend Steps: The number of "noise" blocks allowed while confirming a trend.
Show Support/Resistance Zones: Toggles the histogram-based S/R zones on or off.
S/R Lookback (blocks): Determines how many blocks to look back for calculating S/R zones.
S/R Zone Width (in ATR): Sets the thickness of the S/R zones, denominated in ATRs.
If you find this useful please reach out and let me know how you use it as it's fairly unique... and thus different than anything I've ever seen or used.
ICT Sweep + CHoCH + FVG Alerts
### 🔥 ICT Sweep + CHoCH + FVG Alerts
Script designed to automate ICT entry confirmations using:
• Liquidity Sweep (Buy/Sell Stops taken)
• Change of Character (CHoCH)
• Fair Value Gap (FVG) confirmation
### ✅ Conditions
**Long signal when:**
1. Bearish liquidity sweep
2. Bullish CHoCH
3. Bullish FVG forms and gets respected
**Short signal when:**
1. Bullish liquidity sweep
2. Bearish CHoCH
3. Bearish FVG forms and gets respected
### 🎯 Purpose
This script helps traders detect smart-money setup entries based on ICT logic and receive alerts in real time.
### 📡 Alerts
Supports webhook automation for bots, signal servers, or trading platforms.
*This script does not place trades automatically, alerts only.*
### ⚠️ Disclaimer
This tool is for educational purposes.
Always backtest and use proper risk management.
False Breakout Detector with ConfirmationCandlestick analysis of a false breakout with confirmation from a single bar.
Pivot Points High Low (%-Auslenkung)Marks swing highs and lows only when the price deviation between opposite pivots exceeds a user-defined percentage threshold.
Aibuyzone Elliott Wave SuiteOverview
This study approximates Elliott-style wave structure using swing pivots. It labels primary waves (1–5), tracks subwaves (1–5) inside them, and plots future projection bands derived from the size of a recent primary leg. A small floating dashboard summarizes the current wave number, bias (bullish/bearish) based on the last leg, and a projection price range.
Note: This tool is educational. Wave detection is algorithmic and approximate; it does not identify textbook Elliott patterns or validate rule sets. Manage risk independently.
What it draws
Primary wave labels (1–5): Based on higher swing length pivots (major turns).
Subwave labels (1–5): Based on shorter swing length pivots (minor turns).
Zigzag connectors: Simple lines between the latest primary pivots for structure visualization.
Projection bands: Three dotted horizontal levels forward from the last primary pivot, using user-defined extension multipliers.
Floating dashboard:
Current Wave: Latest primary wave count (1–5).
Bias: “Bullish Leg” (last pivot was a low) or “Bearish Leg” (last pivot was a high), or “Unknown” if insufficient data.
Proj Range: Min–max of the three projection levels.
Key Inputs
Swing Structure
Primary Swing Length: Pivot left/right bars for major swings. Larger values = fewer, cleaner waves.
Subwave Swing Length: Pivot left/right bars for minor swings. Smaller values = more frequent subwave labels.
Max Saved Swing Points: Memory limit to prevent clutter.
Future Projections
Show Projection Levels: Toggle projection lines on/off.
Use Last Nth Leg For Size: Which recent primary leg to use for measuring projection distance (1 = most recent).
Extension 1 / 2 / 3: Multipliers applied to the measured leg (e.g., 1.0, 1.618, 2.0).
Style
Colors and text sizes for primary and subwave labels, and projection lines.
Dashboard
Show Dashboard: Toggle table on/off.
Dashboard Position: Top-Left / Top-Right / Bottom-Left / Bottom-Right.
How projections are computed
The script measures the price distance of a recent primary leg (from pivot A to pivot B).
If the last pivot is a low, projections extend upward; if the last pivot is a high, projections extend downward.
The three extension inputs (e.g., 1.0 / 1.618 / 2.0) are applied to that leg distance to create dotted forward levels.
The dashboard’s Proj Range displays the min–max of those three levels.
Using the study (suggested workflow)
Choose timeframe appropriate for your style (e.g., higher timeframes for cleaner structure; lower timeframes for detail).
Tune swing lengths:
Increase Primary Swing Length on noisy charts to stabilize wave counts.
Adjust Subwave Swing Length to reveal or simplify internal moves.
Read the dashboard:
Current Wave shows where the latest primary count sits (1–5).
Bias summarizes the direction of the last measured leg only; it is not a trend system.
Proj Range offers a coarse price band derived from your extensions.
Context check: Combine wave labeling with your own market context (trend, structure, volatility) before making decisions.
Risk management: Use your own stop/target methods. The projection lines are not signals.
Practical tips
Clutter control: If labels overlap on volatile symbols, try larger swing lengths or reduce label text sizes in Style.
Scaling: On very small tick sizes, increasing the internal label price offset can improve label readability.
Projection sensitivity: Changing Use Last Nth Leg can materially alter levels; confirm they match your intent.
Non-determinism across timeframes: Different timeframes and symbols will produce different pivot sequences and counts.
Limitations & important notes
Approximation: This does not enforce all Elliott rules (e.g., alternation, wave 4 overlap constraints, channeling). It only labels swings numerically.
Repainting of labels: Pivot-based waves confirm after enough bars have printed to the right of a high/low. Labels are placed when pivots confirm; they don’t predict pivots.
Not a signal generator: No entries/exits/alerts are included; add your own trade plan and risk controls.
Data sufficiency: Early bars or sparse data may show “Unknown” bias or “N/A” projections until adequate pivots exist.
Clean-chart publishing guidance (to stay compliant)
Use a chart that clearly shows this script’s outputs without unrelated indicators.
Keep the description educational. Avoid performance claims, guarantees, or language implying certainty.
Do not include links, promotions, prices, giveaways, contact details, or solicitations.
Disclose that labels and projections are algorithmic approximations and for educational use.
Risk disclosure
This script is for educational purposes only. It does not provide financial, investment, or trading advice and does not guarantee outcomes. Markets involve risk, including the potential loss of capital. Always do your own research and use independent judgment.
MTF VFSMA SqueezeThe purpose of this indicator is to detect a market squeeze (lack of volatility) period and to identify the initiation and direction of the breakout.
It is based on Variety-Filtered, Squeeze Moving Averages indicator.
The original indicator created by Loxx identifies both squeeze zones and breakouts/breakdowns. A squeeze zone is defined when price is below a specific volatility threshold calculated as the difference between a fast- and slow-moving average and filtered using ATR- or Pips-based threshold.
It operates on a single timeframe and includes Loxx's Expanded Source Types, signals, alerts, etc. and 35+ Loxx's Moving Averages. These adaptive, minimal-lag indicators are built upon advanced mathematical and signal processing DSP techniques that far surpass traditional Moving Averages.
This currently published indicator includes the following main developments:
Squeeze Detection using Percentile Rank Method
It detects the Squeeze by applying a Percentile Rank to the historical distance (spread) between the two MAs.
MA Spread: The basis for Squeeze detection is the distance between the two moving averages.
Percentile Rank: A statistical measure that indicates the percentage of past Spread values within the set lookback period that are lower than the current MA Spread.
Squeeze State: A Squeeze occurs when the Percentile Rank is below the set Squeeze Threshold (%)).
Example: If the threshold is 20% and the Rank is 15%, it means the MA Spread is in its tightest 15% range, below the set threshold. Therefore, the condition is currently met.
Goal: Objective volatility measurement that adapts to market conditions.
Squeeze Duration Filter
A key condition for a Breakout signal is that the MAs must have remained in the Squeeze zone for a specified minimum duration.
Goal: To filter out market noise and False Breakouts.
Multi-Timeframe (MTF) Confluence
Multi-Timeframe trend and squeeze monitoring for 3 timeframes (TFs).
Provides confirmation using the MA status from two higher timeframes (TF2, TF3).
Goal: Trend and momentum confirmation from a broader market context.
Signals Only on Bar Close?
By selecting the signalOnClose parameter to enabled, it is possible to avoid repainting on the chart TF. If it is checked, all events on the chart (L/S signals, Squeeze Start/End, MA color change) will only appear after the bar has closed, preventing repainting. Higher TF events remain in real-time.
Goal: To increase the reliability of signals.
Multi-Level Alerts and Info Panel
Comprehensive, confluence-weighted alerts and real-time status display.
Enhanced Alerts based on multi-timeframe confluences. Alerts are ready to enable/disable for Any alert() function call and ready for watchlists. Alert Frequency is also configurable in Inputs window. „Once per bar close” is the most reliable for signals. „Always” or „Once per bar” alert frequencies may generate temporary signal alerts.
Please note that even if "Once per bar close" is selected as alert frequency, this only applies to the chart TF, and TF2 and TF3 status may be modified until the close of the relevant candle.
Goal: Transparent decision-making.
Other Improvements
Unlike the original indicator, the coloring of the MA curves on the chart depends on the relative positions of the fast MA and slow MA. The curves are colored bullish when the fast MA is above the slow MA, bearish when the opposite is true, and neutral in the squeeze zone.
Data Window with Squeeze Start/End, Buy/Sell, Status, Squeeze Percentile etc. on all 3 TFs.
Ready for Pine Screener.
Please be aware that currently only the chart TF is configurable in Pine Screener, TF2 and TF3 are set to their default values.
Pine Script® version 6.
Limitations
When setting the indicator parameters, please take into account the limitations of TradingView. (Lookback period of Percentile Rank and Moving Averages periods, Execution time limit (timeout) etc.)
For example, if a NaN% message appears as the Percentile Rank value, please reduce the lookback period.
How to use it
This indicator is a Breakout-following system, but it can also be the basis for Range Trading.
The Setup Phase
This is the preparation stage. The indicator signals low volatility as the bands tighten.
Squeeze Dynamics: Monitoring the Squeeze Duration is essential. The longer the price spends in the Squeeze zone, the more likely the resulting breakout will be powerful.
The Signal Phase (Breakout)
The Breakout signal appears on the bar where the Percentile Rank first crosses above the Squeeze threshold, indicating a sudden return of volatility.
Further condition: Meets the SqueezeDuration filter.
Breakout direction: Bullish: Fast MA > SLow MA, Bearish: Fast MA < SLow MA
Applying MTF Confluence:
The most promising trades that are in line with higher timeframes:
Total Confluence: Chart TF Signal + TF2 Bullish/Bearish + TF3 Bullish/Bearish. This is the strongest, highest-probability setup.
Simple signal: Only the Chart TF signals. This should be handled with caution, as the higher timeframes (TF2, TF3) might still be in a Squeeze or in a conflicting state.
Alternative Use: Range Trading within the Squeeze Bands
If the market has low volume, the squeeze bands can be used as dynamic support/resistance for bounces off the edges of the range:
The probability of a successful range trade increases if the boundaries of the squeeze zone have only been touched a few times previously. Each touch weakens the zone boundaries and increases the chance of a Breakout.
Suggested Tactics and Risk Management
When using Breakout strategies, strict risk management and the use of confirmations are essential:
Volume Confirmation: A strong, above-average volume Breakout candle increases the probability of a successful breakout.
False Breakout: If the breakout occurs on low volume, there is a higher chance of a pullback and a False Breakout.
Entry After Retest: A safer entry: wait until the price breaks out, but only enter if it returns to the squeeze zone and bounces back from there. This reduces the risk of a False Breakout trap.
The Risk of False Breakout:
False Breakouts are part of any Breakout strategy. Always have a strict Stop Loss set.
Reversal: Be prepared for the possibility that after a Breakout signal (e.g., Long), the price returns to the zone and then breaks out in the opposite (Short) direction.
Please note that all technical analysis and trading signals only indicate probabilities. Always use your own risk management rules and follow market regulations.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice.
Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results.
The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always:
Test strategies on paper before using real money
Never risk more than you can afford to lose
Understand that all trading involves risk
Consider seeking advice from a licensed financial advisor
The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk.
Liquidity & Momentum Master (LMM)💎 Liquidity & Momentum Master (LMM)
A professional dual-system indicator that combines:
📦 High-Volume Support/Resistance Zones and
📊 RSI + Bollinger Band Combo Signals — to visualize both smart money footprints and momentum reversals in one clean tool.
🧱 1. High-Volume Liquidity Zones (Support/Resistance Boxes)
Conditions
Visible only on 1H and higher timeframes (1H, 4H, 1D, etc.)
Detects candles with abnormally high volume and strong ATR-based range
Separates bullish (support) and bearish (resistance) zones
Visualization
All boxes are white, with adjustable transparency (alphaW, alphaBorder)
Each box extends to the right automatically
Only the most important (Top-N) zones are kept — weaker ones are removed automatically
Interpretation
White boxes = price areas with heavy liquidity and volume concentration
Price approaching these zones often leads to bounces or rejections
Narrow spacing = consolidation, wide spacing = potential large move
💎 2. RSI Exit + BB-RSI Combo Signals
RSI Exit (Overbought/Oversold Recovery)
RSI drops from overbought (>70) → plots red “RSI” above the candle
RSI rises from oversold (<30) → plots green “RSI” below the candle
Works on 15m, 30m, 1H, 4H, 1D
→ Indicates short-term exhaustion recovery
BB-RSI Combo (Momentum Reversal Confirmation)
Active on 1H and higher only
Requires both:
✅ RSI divergence (bullish or bearish)
✅ Bollinger Band re-entry (after temporary breakout)
Combo Buy (Green Diamond)
Bullish RSI divergence
Candle closes back above lower Bollinger Band
Combo Sell (Red Diamond)
Bearish RSI divergence
Candle closes back below upper Bollinger Band
→ Confirms stronger reversal momentum compared to standard RSI signals
Flow Control Oscillator (FCO)Flow Control Oscillator (FCO)
The Flow Control Oscillator (FCO) is a momentum-based indicator that combines volume analysis and money flow to determine who is in control of the market—buyers or sellers—and how strong that control is. Unlike pure price-based oscillators, FCO integrates both price action and volume distribution to provide a more complete picture of market dynamics.
How It Works
Core Components:
Money Flow Index (MFI) -
Scaled to -1 to +1 range
Measures the flow of money into and out of an asset
Identifies buying and selling pressure based on price and volume
Chaikin Money Flow (CMF) -
Already in -1 to +1 range
Measures the accumulation/distribution of volume
Shows whether volume is accumulating (buying) or distributing (selling)
Combined Flow Control Line (FCO Line) -
Equal-weighted composite of MFI and CMF
Smoothed with SMA (default: 3 periods)
Values above 0 = Buyers in control
Values below 0 = Sellers in control
Signal Line -
WMA of the FCO line (default: 6 periods)
Used for timing entries and confirming momentum shifts
Momentum Histogram-
Shows the rate of change in buyer/seller control
Weighted by ADX (Average Directional Index) when enabled
Larger bars = stronger momentum
ADX weighting filters out choppy, unreliable signals
Key Zones
Neutral Zone (-0.3 to +0.3): Balanced market, low conviction
Healthy Trend Zone (±0.3 to ±0.7): Clear control without exhaustion
Warning Zone (±0.7 to ±1.0): Extended, approaching exhaustion
Extreme Zone (beyond ±1.0): Overbought/oversold, reversal likely
What To Look For
Reversal Setups:
FCO in extreme zone (beyond ±1.0)
FCO crosses Signal line in opposite direction
Momentum histogram shrinking (weakening pressure)
Interpretation: Buyers or sellers are exhausted and losing control
Trend Strength Setups:
FCO crosses zero line (control shift)
Momentum histogram growing in the same direction
ADX confirms strong trend (no orange background)
Signal line moving in same direction as FCO
Interpretation: New control being established with building momentum
Divergences:
Price makes new high/low but FCO doesn't confirm
Indicates weakening momentum despite price movement
Early warning of potential reversal
Choppy Market Warning:
Orange background (ADX < 20)
Small momentum bars regardless of FCO position
Interpretation: Weak trend, avoid trading or use tight stops
Best Practices:
Use with context: Combine with support/resistance levels (like VWAP) for confluence
Multi-timeframe confirmation: Check higher timeframe FCO for overall bias
Wait for confirmation: Let signals develop rather than predicting turns
Respect extreme zones: Best reversal opportunities occur when FCO is beyond ±1.0
Filter with ADX: Pay attention to background coloring—avoid choppy conditions
The indicator includes comprehensive alert conditions for:
Reversal setups (extreme + cross + weakening momentum)
Trend strength signals (zero cross + growing momentum + strong ADX)
FCO/Signal crossovers
Extreme overbought/oversold conditions
Control shifts (buyers/sellers taking control)
hbd.Mozanit + Gold UnifiedThis Pine Script indicator implements a comprehensive trading strategy called "Moissanite + Gold Unified." The indicator's primary purpose is to generate buy and sell signals by combining two distinct logic sets: the "Moissanite Logic" and the "Gold Profit Logic." The Moissanite component generates signals using various trend and momentum indicators, such as EMA price filters, minimum agreement oscillators (RSI, MACD, Stochastic, etc.), volume, and ADX. The Gold Profit component focuses on breakout and retracement signals based on the RSI, moving average, volume, and Stochastic oscillator. The indicator also automatically plots falling and rising Fibonacci levels to analyze price action and includes special conditions, such as the "Purple Bearish Candle Alert," which indicates potential trend reversals. Finally, a Probability Setup based on moving averages to identify price extremes at various probability levels (High, Medium, Low) completes the strategy's versatile analysis framework.
MTC – Multi-Timeframe Trend ConfirmatorMTC – Multi-Timeframe Trend Confirmator
The Ultimate Multi-Timeframe Trend Analysis Tool
MTC v6 is a comprehensive trend confirmation indicator that analyzes market conditions across multiple timeframes simultaneously. It combines six powerful technical indicators to give you a clear, visual representation of trend strength and direction.
🎯 Key Features
Visual Trend Gauge
Real-time trend strength display for 3 customizable timeframes
Progressive bar visualization (fills from left to right)
Color-coded signals: 🟢 Green (Bullish) | 🔴 Red (Bearish) | 🟡 Yellow (Ranging)
Score range: -10 to +10 for precise trend measurement
Multi-Indicator Analysis
The indicator combines 6 proven technical tools:
EMA 200 – Long-term trend direction
SMA 50/200 – Golden/Death cross signals
RSI 14 – Momentum confirmation
MACD – Trend strength validation
ADX (>25) – Trend intensity measurement (2x weight)
Supertrend – Dynamic support/resistance (2x weight)
⚙️ Customization Options
Flexible Timeframes: Set any timeframes you prefer (default: 15M, 1H, 4H)
Adjustable Gauge Size: Small, Medium, or Large display
Toggle Indicators: Enable/disable any of the 6 technical indicators
Supertrend Settings: Customize factor and ATR period
Built-in Alerts: Get notified when trends confirm
📈 How to Use
Score Interpretation:
Score > +2 = Bullish trend
Score < -2 = Bearish trend
Score between -2 and +2 = Ranging/Neutral
Multi-Timeframe Confirmation:
Look for alignment across timeframes for strongest signals
Higher timeframes confirm the overall trend direction
Lower timeframes help with precise entry timing
Visual Background:
Green background = Confirmed uptrend (Higher + Mid TF aligned)
Red background = Confirmed downtrend (Higher + Mid TF aligned)
💡 Perfect For
Swing traders seeking trend confirmation
Day traders analyzing multiple timeframes
Position traders validating long-term trends
Anyone who wants clear, visual trend analysis
Trade with confidence. Trade with confirmation. Trade with MTC
-Natantia
RAFEN-G - Kill Zones & Institutional Gaps🔍 What It Does
Kill Zones (KZ1, KZ2, KZ3)
Automatically highlights the main intraday liquidity windows such as the London open, NY AM, and NY PM sessions — customizable by time, color, and transparency.
Perfect for timing setups, identifying liquidity sweeps, or backtesting session behavior.
Institutional GAP Detection (NY 11:00 → 03:00)
Anchored on the New York H1 clock, the script automatically draws the “institutional gap” between the 11:00 close and the 03:00 open of the next trading day.
Each gap is drawn as a transparent box with a label showing its size in price units.
Dynamic Cleanup & Color Updates
Automatically removes old boxes beyond your chosen history limit and keeps all visuals perfectly synchronized in real-time.
⚙️ Key Features
3 fully independent and editable Kill Zones
Adjustable timezone (default: America/New_York)
Works on all intraday timeframes
Auto-management of historical data
Clean and lightweight visuals (up to 2000 boxes)
Real-time color and transparency updates
Alerts when each Kill Zone starts
🧠 Ideal For
Traders using ICT, SMC, or institutional frameworks who want clear visual separation of market sessions and automatic tracking of session-to-session gaps for confluence or imbalance analysis.
🕐 Recommended Use
Apply on 5 min / 15 min / 1 h charts, align timezone to NYC, and combine with liquidity or FVG tools for maximum insight.
Mum Formasyonları TespitiIt is used to detect candles.
It is designed to analyze all the candles that form.
The most frequently formed candles are displayed on the price chart.
