PumpC Tick Levels Marker🧾 Description
PumpC Tick Levels Marker
A precision price-level visualization tool designed for futures and tick-based traders.
Easily mark a single reference price and automatically plot symmetrical tick levels above and below it.
🔍 How It Works
Select your Anchor Price — this acts as the central reference point.
The script automatically plots upward and downward tick levels spaced by your chosen tick multiple.
Labels display tick distance (+/- ticks) and can be offset to the right by a set number of bars for clean alignment near the price scale.
⚙️ Key Features
One-click anchor control — define a single reference price.
Custom tick spacing — choose your tick multiple and number of levels to show (up to 10 in each direction).
Independent Up/Down toggles — display only the levels you need.
Label offset control — move labels closer or farther from the price scale.
Fully customizable styling — line color, width, and style (solid, dashed, dotted).
Efficient cleanup logic — lines and labels refresh dynamically on update.
🧩 Perfect For
Futures and index traders tracking tick increments (e.g., ES, NQ, CL).
Measuring quick scalp targets or ATR-based micro-ranges.
Visualizing equidistant price steps from a key breakout or reversal point.
Created by: PumpC Trading Tools
Version: 1.0 (Pine Script v6)
License: Open for personal use — please credit “PumpC Tick Levels Marker” if reused or modified.
ניתוח מגמה
Time Line Indicator - by LMTime Line Indicator – by LM
Description:
The Time Line Indicator is a simple, clean, and customizable tool designed to visualize specific time periods within each hour directly in a dedicated indicator pane. It allows traders to mark important intraday minute ranges across multiple past hours, providing a clear visual reference for time-based analysis. This indicator is perfect for identifying recurring hourly windows, session patterns, or custom time-based events in your charts.
Unlike traditional overlays, this indicator does not interfere with price candles and draws its lines in a separate pane at the bottom of your chart for clarity.
Key Features:
Custom Hourly Lines:
Draw horizontal lines for a specific minute range within each hour, e.g., from the 45th minute to the 15th minute of the next hour.
Multi-Hour Support:
Choose how many past hours to display. The indicator will replicate the line for each selected hourly period, following the same minute logic.
Automatic Start/End Logic:
If your chosen start minute is in the previous hour, the line correctly begins at that time.
The end minute can cross into the next hour when applicable.
If the selected end minute does not yet exist in the current chart data, the line will extend to the latest available bar.
Dedicated Indicator Pane:
Lines appear in a fixed, non-intrusive y-axis within the indicator pane (overlay=false), keeping your price chart clean.
Customizable Appearance:
Line Color: Choose any color to match your chart theme.
Line Thickness: Adjust the width of the lines for better visibility.
Inputs:
Input Name Type Default Description
Line Color Color Orange The color of the horizontal lines.
Line Thickness Integer 2 The thickness of each line (1–5).
Start Minute Integer 5 The minute within the hour where the line begins (0–59).
End Minute Integer 25 The minute within the hour where the line ends (0–59).
Hours Back Integer 3 Number of past hours to display lines for.
Use Cases:
Intraday Analysis: Quickly visualize recurring minute ranges across multiple hours.
Session Tracking: Mark critical time windows for trading sessions or market events.
Pattern Recognition: Easily identify time-based patterns or setups without cluttering the price chart.
How It Works:
The indicator calculates the nearest bars corresponding to your start and end minutes.
It draws horizontal lines at a fixed y-axis value within the indicator pane.
Lines are drawn for each selected past hour, replicating the chosen minute span.
All logic respects the actual chart data; lines never extend into the future beyond the most recent bar.
Notes:
Overlay is set to false, so lines appear in a dedicated pane below the price chart.
The indicator is fully compatible with any timeframe. Lines adjust automatically to match the chart’s bar spacing.
You can change the number of hours displayed at any time without affecting existing lines.
If you want, I can also draft a shorter “TradingView Store / Public Library description” version under 500 characters for the “Short Description” field — concise and punchy for users scrolling through indicators.
BH Ergodic (TSI-style) [v5]The BG Ergodic script is a custom momentum and trend-confirmation tool that builds on the classic True Strength Index (TSI) and Ergodic Oscillator concepts. It smooths price momentum over multiple exponential averages to identify underlying trend direction, exhaustion, and potential reversals with reduced noise.
Unlike a standard TSI, the BG Ergodic combines:
Dual-smoothing filters for both momentum and signal lines, giving a cleaner response in choppy markets.
Dynamic color transitions that highlight bullish and bearish phases based on crossovers and slope changes.
Optional histogram plotting to visualize the spread between the Ergodic line and its signal line for early trend-shift detection.
This indicator works best on swing or trend-following timeframes (e.g., 1H–1D) and can be used to:
Confirm trend direction before entries,
Filter false breakouts, or
Spot momentum divergence near key support/resistance zones.
Bitcoin Buy-the-Dip Line (Auto timeframe switch)Many people ask me when is the right time to buy Bitcoin. However, most of them have little trading experience and no time to study technical strategies or tools.
That’s why I created a simple and intuitive indicator — easy enough for anyone to use.
Usage 1 – Buy the Dip
This indicator works only on 4H, 1D, 1W, and 1M timeframes.
On each timeframe, you will see a single EMA line.
During a bull market, whenever the price dips below this EMA, it usually represents a good opportunity to buy the dip .
Usage 2 – Bull to Bear Transition
On the daily timeframe, if the price stays below the EMA and continues to make lower lows , it often signals that the market is transitioning into a bearish phase .
Analyse-Werte im Chart (Multi-Timeframe)Core Components
The indicator evaluates a trend based on four main pillars, which are combined into an overall score:
Momentum (Rate of Change / Standard Deviation): Measures the strength and speed of the current price movement. High momentum indicates a strong, directional move.
Trend Stability (R² - R-Squared): This is the heart of the analysis. The indicator searches for the best-fitting linear regression line within a user-defined period. The R² value (0-100%) indicates how well the price action fits this straight line. A high value signals a very stable, "clean" trend.
Stability/Risk (Rate of Change / Ulcer Index): Compares the trend strength to the pullbacks (drawdowns) it has experienced. A trend that rises steadily without suffering deep declines receives a high rating here.
RSI Proximity to 60: A small bonus factor based on the assumption that strong uptrends often use the 60 RSI level as support.
## The Output Table
The result of this analysis is displayed in a clear table:
Score Value: An overall grade from 0 to 100 that provides a weighted summary of the four components mentioned above.
R2 Value (%): Indicates the percentage of "linearity" of the identified trend.
Regression Length: The number of candles over which the most stable trend was found.
Channel Z-Value: Measures how many standard deviations the current price is away from the trend line. A high positive value (> 1.8) can indicate an over-extended or "overheated" condition.
Evaluation: An auto-generated text that translates the mathematical values into a human-readable assessment. It distinguishes between stable trends, momentum-driven (unstable) trends, corrections, and sideways phases.
Multi-Timeframe Analysis: Shows the "Evaluation" for various timeframes (from 5 minutes to 1 week), allowing for a quick overview of the asset's overall picture.
## Flexibility through Profiles and Manual Control
One of the indicator's greatest strengths is its customizability:
Profiles: You can switch between three predefined analysis profiles with a single click:
Short-Term: Focuses on high momentum for day trading.
Mid-Term: A balanced setting for swing trading (Standard).
Long-Term: Focuses on the stability of the primary trend for investors.
Manual Mode: Allows you to adjust every single setting (R2 lengths, score weights) yourself to perfectly tailor the indicator to your own strategy and the specific chart.
MACD-V with RSI Gradient## Overview
MACD-V is a volatility-adjusted momentum indicator that normalizes MACD using ATR. This version adds a dynamic RSI-based background gradient to highlight momentum zones visually.
## Features
- **MACD-V Line**: EMA-based momentum normalized by ATR
- **Signal Line**: EMA of MACD-V
- **Histogram**: Color-coded based on slope and polarity
- **RSI Gradient Background**: Shading from bright green (RSI > 75) to bright red (RSI < 30), with intermediate tones for momentum context
## Use Case
Designed for 30-minute oil futures charts, this indicator helps identify:
- Trend strength and reversals
- Momentum zones using RSI shading
- Pullback opportunities and exhaustion zones
## Inputs
- Fast EMA (default: 12)
- Slow EMA (default: 26)
- Signal EMA (default: 9)
- ATR Length (default: 26)
## Notes
- RSI shading is purely visual—no alerts are wired in yet
- Histogram renders behind MACD-V and Signal lines for clarity
- Colors are tuned for dark charts
## Credits
Developed by Mark (SylvaRocks), optimized for tactical clarity and scalping precision.
Cruce EMA 9 y EMA 55 v2EMA 9 and EMA 55 Crossover is a simple and effective indicator based on the crossover of exponential moving averages.
When the EMA 9 crosses above the EMA 55, a buy signal is generated, indicating a potential bullish trend.
When the EMA 9 crosses below the EMA 55, a sell signal is triggered, suggesting a possible bearish trend.
Ideal for spotting trend reversals and momentum changes in any market — Forex, indices, cryptocurrencies, or commodities.
Works perfectly for scalping, day trading, and swing trading strategies.
Custom Bollinger Band Squeeze Screener [Pineify]Custom Bollinger Band Squeeze Screener
Key Features
Multi-symbol scanning: Analyze up to 6 tickers simultaneously.
Multi-timeframe flexibility: Screen across four selectable timeframes for each symbol.
Bollinger Band Squeeze algorithm: Detect volatility contraction and imminent breakouts.
Advanced ATR integration: Measure expansion and squeeze states with custom multipliers.
Customizable indicator parameters: Fine-tune Bollinger and ATR settings for tailored detection.
Visual table interface: Rapidly compare squeeze and expansion signals across all instruments.
How It Works
At the core, this screener leverages a unique blend of Bollinger Bands and Average True Range (ATR) to quantify volatility states for multiple assets and timeframes at once. For each symbol and every selected timeframe, the indicator calculates Bollinger Band width and compares it against ATR levels, offering real-time squeeze (consolidation) and expansion (breakout) signals.
Bollinger Band width is computed using standard deviations around a SMA basis.
ATR is calculated to gauge market volatility independent of price direction.
Squeeze: Triggered when BB width contracts below a multiple of ATR, forecasting lower volatility and set-up for a move.
Expansion: Triggered when BB width expands above a higher ATR multiple, signaling a high-volatility breakout.
Display: Results shown in an intuitive table, marking each status per ticker and TF.
Trading Ideas and Insights
Spot assets poised for volatility-driven breakouts.
Compare squeeze presence across timeframes for optimal entry timing.
Integrate screener results with price action or volume for high-confidence setups.
Use squeeze signals to avoid choppy or non-trending conditions.
Expand and diversify watchlists with multi-symbol coverage.
How Multiple Indicators Work Together
This script seamlessly merges Bollinger Bands and ATR with customized multipliers:
Bollinger Bands identify price consolidation and volatility squeeze zones.
ATR tailors the definition of squeeze and expansion, making signals adaptive to volatility regime changes.
By layering these with multi-symbol/multi-timeframe data, traders access a high-precision view of market readiness for trend acceleration or reversal.
The real synergy is in the screener's ability to visualize volatility states for a diverse asset selection, transforming traditional single-chart analysis into a broad market view.
Unique Aspects
Original implementation: Not a simple trend or scalping indicator; utilizes advanced volatility logic.
Fully multi-symbol and multi-timeframe support uncommon in most screeners.
Custom ATR multipliers for both squeeze and expansion allow traders to match their risk profile and market dynamics.
Visual clarity: Table structure promotes actionable insights and reduces decision fatigue.
How to Use
Add the indicator to your TradingView chart (supports any asset class including crypto, forex, stocks).
Select up to six symbols (tickers) and set your preferred timeframes.
Adjust Bollinger Band Length/Deviation and ATR multipliers to refine squeeze/expansion criteria.
Review the screener table: Look for "SQZ" (squeeze) or "EXP" (expansion) cells for entry/exit ideas.
Combine screener information with other technical or fundamental signals for trade confirmation.
Customization
Symbols: Choose any tickers for scanning.
Timeframes: Select short- to long-term intervals to match your trading style.
Bollinger Band parameters: Modify length and deviation for sensitivity.
ATR multipliers: Set low or high values to adjust squeeze/expansion triggers.
Table size and layout: Adapt display for optimal workflow.
Conclusion
The Bollinger Band Squeeze Screener Pineify delivers an innovative, SEO-friendly multi-asset solution for volatility and trend detection. Harness its original algorithmic design to uncover powerful breakout opportunities and optimize your portfolio. Whether you trade crypto with dynamic volatility or scan stocks for momentum, this tool supercharges your TradingView workflow.
Volatility Channel Oscillator█ OVERVIEW
"Volatility Channel Oscillator" is a technical indicator that analyzes price volatility relative to dynamic price channels, displaying an oscillator, its moving average, and signals based on crossovers and divergences. The indicator offers customizable overbought and oversold levels, gradient visualization, and divergence detection, supported by alerts for key signals.
█ CONCEPTS
The VCO indicator creates dynamic price channels based on a moving average of the price (calculated as the arithmetic mean of the high and low prices: (high + low) / 2) and market volatility (measured as the average candle range and body size). These channels are not displayed on the chart but are used to calculate the oscillator value, which reflects the position of the closing price relative to the channel width, scaled to a range from -100 to +100, with the zero line as the central point. A moving average of the oscillator (SMA) smooths its values, enabling signals based on crossovers with the zero line or overbought/oversold levels. The indicator also detects divergences between price and the oscillator, which may indicate potential trend reversals. VCO is useful for identifying market momentum, reversal points, and trend confirmation, especially when combined with other technical analysis tools.
█ FEATURES
- Volatility Channels: Calculates invisible chart boundaries based on a simple moving average (SMA) of the price (high + low) / 2 and volatility (average candle range and body). The length parameter (default 30) sets the SMA length, and scale (default 200%) adjusts the channel width.
- Oscillator: Determines the oscillator value in the range of -100 to +100, indicating the closing price's position relative to the volatility channel. Displayed with dynamic coloring (green for positive values, red for negative).
- Oscillator Moving Average: A simple moving average (SMA) of the oscillator values, smoothing its movements. The signalLength parameter (default 20) defines the SMA length. Displayed in yellow with an optional gradient.
- Overbought/Oversold Levels: Configurable thresholds for the oscillator (overbought, default 50; oversold, default -50) and its moving average (maOverbought, default 30; maOversold, default -30), shown as horizontal lines with optional gradients. Band colors change dynamically (red for overbought, green for oversold, gray for neutral) based on the moving average's position relative to maOverbought/maOversold, reinforcing other signals.
- Divergences: Detects bullish (price forms a lower low, oscillator a higher low) and bearish (price forms a higher high, oscillator a lower high) divergences using pivots (pivotLength, default 2). Divergences are displayed with a delay equal to the pivot length; larger lengths increase reliability but delay signals. Use as additional confirmation.
Signals:
- Overbought/Oversold Crossovers: Green triangles (buy) when the oscillator crosses above the oversold level, red triangles (sell) when it crosses below the overbought level.
- Zero Line Crossovers: Buy/sell signals when the oscillator crosses the zero line upward (buy) or downward (sell).
- Moving Average Crossovers: Buy/sell signals when the oscillator's moving average crosses the zero line or the maOverbought/maOversold levels. Dynamic band color changes (red/green) at these crossovers reinforce other signals.
- Visualization: Gradient lines for the oscillator, its moving average, overbought/oversold levels, and zero line, with adjustable transparency. Gradient fill between the oscillator and zero line.
Divergence Labels: "Bull" (bullish) and "Bear" (bearish) labels with customizable color and transparency.
- Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero line crossovers by the oscillator and its moving average.
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- Channel and Oscillator Settings: Adjust the channel SMA length (length, default 30) and channel scaling (scale, default 200%). Increase scale for high-volatility markets.
- Threshold Levels: Set oscillator overbought (overbought, default 50) and oversold (oversold, default -50) levels, and moving average thresholds (maOverbought, default 30; maOversold, default -30).
- Divergence Settings: Enable/disable divergence detection (calculateDivergence) and set pivot length (pivotLength, default 2). Larger values increase reliability but delay signals.
- Signal Settings: Choose signal types (signalType): overbought/oversold, zero line, moving average, or all.
- Styling: Customize colors for the oscillator, moving average, horizontal levels, and divergence labels. Adjust gradient and fill transparency.
Interpreting Signals:
- Buy Signals: Green triangles below the bar when the oscillator or its moving average crosses above the oversold level or zero line.
- Sell Signals: Red triangles above the bar when the oscillator or its moving average crosses below the overbought level or zero line.
- Moving Average Signals: Green/red triangles when the moving average crosses maOverbought/maOversold levels, indicating potential reversals or trend continuation. Dynamic band color changes (red for overbought, green for oversold) at these crossovers reinforce other signals.
- Divergences: "Bull" (bullish) and "Bear" (bearish) labels indicate potential trend reversals with a delay based on pivot length. Use as confirmation.
- Overbought/Oversold Levels: Monitor price reactions in these zones as potential reversal points. Dynamic band color changes based on the moving average reinforce signals.
Signal Confirmation: Use VCO with other tools, such as pivot levels (for key turning points) or Fibonacci levels (for support/resistance zones).
█ APPLICATIONS
- Trend Trading: Zero line crossovers by the oscillator or its moving average identify momentum in uptrends or downtrends.
- Range Trading: Overbought/oversold levels help identify entry/exit points in sideways markets.
- Divergences: Use bullish/bearish divergences as additional confirmation of reversals, especially near key price levels.
- Trend Identification: To analyze trends over a longer perspective, increase the moving average length (signalLength) for more stable signals.
█ NOTES
- Test the indicator across different timeframes and markets to optimize parameters, such as length and scale, for your trading style.
- In strong trends, overbought/oversold levels may persist, requiring additional signal verification.
- Divergences are more reliable on higher timeframes (H4, D1), where market noise is reduced, but their delay requires caution.
- In low-liquidity markets, signals may be less effective, so use on high-liquidity assets is recommended.
Z-Score Momentum | MisinkoMasterThe Z-Score Momentum is a new trend analysis indicator designed to catch reversals, and shifts in trends by comparing the "positive" and "negative" momentum by using the Z-Score.
This approach helps traders and investors get unique insight into the market of not just Crypto, but any market.
A deeper dive into the indicator
First, I want to cover the "Why?", as I believe it will ease of the part of the calculation to make it easier to understand, as by then you will understand how it fits the puzzle.
I had an attempt to create a momentum oscillator that would catch reversals and provide high tier accuracy while maintaining the main part => the speed.
I thought back to many concepts, divergences between averages?
- Did not work
Maybe a MACD rework?
- Did not work with what I tried :(
So I thought about statistics, Standard Deviation, Z-Score, Sharpe/Sortino/Omega ratio...
Wait, was that the Z-Score? I only tried the For Loop version of it :O
So on my way back from school I formulated a concept (originaly not like this but to that later) that would attempt to use the Z-Score as an accurate momentum oscillator.
Many ideas were falling out of the blue, but not many worked.
After almost giving up on this, and going to go back to developing my strategies, I tried one last thing:
What if we use divergences in the average, formulated like a Z-score?
Surprise-surprise, it worked!
Now to explain what I have been so passionately yapping about, and to connect the pieces of the puzzle once and for all:
The indicator compares the "strength" of the bullish/bearish factors (could be said differently, but this is my "speach bubble", and I think this describes it the best)
What could we use for the "bullish/bearish" factors?
How about high & low?
I mean, these are by definitions the highest and lowest points in price, which I decided to interpret as: The highest the bull & bear "factors" achieved that bar.
The problem here is comparison, I mean high will ALWAYS > low, unless the asset decided to unplug itself and stop moving, but otherwise that would be unfair.
Now if I use my Z-score, it will get higher while low is going up, which is the opposite of what I want, the bearish "factor" is weaker while we go up!
So I sat on my ret*rded a*s for 25 minutes, completly ignoring the fact the number "-1" exists.
Surprise surprise, multiplying the Z-Score of the low by -1 did what I wanted!
Now it reversed itself (magically). Now while the low keeps going down, the bear factor increases, and while it goes up the bear factor lowers.
This was btw still too noisy, so instead of the classic formula:
a = current value
b = average value
c = standard deviation of a
Z = (a-b)/c
I used:
a = average value over n/2 period
b = average value over n period
c = standard deviation of a
Z = (a-b)/c
And then compared the Z-Score of High to the Z-Score of Low by basic subtraction, which gives us final result and shows us the strength of trend, the direction of the trend, and possibly more, which I may have not found.
As always, this script is open source, so make sure to play around with it, you may uncover the treasure that I did not :)
Enjoy Gs!
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap!
🧠 Description
This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure.
🔍 Why Friday & Monday matter
Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias.
Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders.
Together, these two days define the range traps and breakout zones that often control price action until midweek.
> In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike.
🧩 What this tool does
✅ Highlights Friday (red) and Monday (green) sessions
✅ Adds optional day labels above bars
✅ Works across all timeframes (best on 15min to 1hr charts)
✅ Helps you visually identify where institutions likely built their positions
Use it to quickly spot:
* Range boundaries that trap traders
* Gap zones likely to get filled
* High–low sweeps before reversals
⚙️ Recommended Use
1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday.
2. When Monday holds above Friday’s high , breakout continuation is likely.
3. When Monday fails below Friday’s low , expect a reversal or trap.
4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation.
⚠️ Disclaimer
This indicator is for **educational and analytical purposes only**.
It does **not constitute financial advice** or a trading signal.
Markets are dynamic — always perform your own research before trading or investing.
Kalman Exponentialy Weighted Moving Average | MisinkoMasterThe Kalman Exponentialy Weighted Moving Average is a technical analysis tool providing users with more responsive and smoother signals, providing crystal-clear signals and giving investors valuable insights on market trends, however it could be used in many cases.
A deeper dive into the indicator:
When going through my creation of strategies, I had stumbled on an indicator called "EWMA", which worked decently, but it was far too simple in my opinion so I decided to combine the EMA & WMA, but with a little more complexity, and it has worked .
I began by learning how both MAs work, I already knew how WMA works, but EMA I did not.
After learning both I found out they were quite simple in principle and that there was a way to combine them in such way that you would get really good signals, however it was way too noisy.
While it could avoid major dumps that were not avoided by most indicators, it would lose that edge because of being too noisy.
After testing out many conditions, combinations & more, the best working one was this one:
WMA > KEWMA = long
WMA < KEWMA = short
I will explain this later, but this gave fast signals, and while it still was noisy it was better then before.
To smooth it out, I started testing price filters => Gaussian Filter and many more were tested out, but they either slowed it down to the point it was no longer of much use, or did not smooth it at all.
After testing the Kalman filter on this thing, I was shocked.
It was just right and made the indicator a lot better, smoothed it and kept most of the responsivness it had.
Now to the big question: "How is it calculated?"
Now first it needs to calculate the Kalman source, which smooths the source which will be used.
After that, we calculate the Weighted Moving Average for " n " period on the Kalman source.
Now that we have our WMA values, we need to calculate " a ".
a is calculated in the following formula:
a = 2/(1+ n )
where n is the user defined length
Now for the last part:
KEWMA = WMAyesterday * (1-a) + WMAtoday * a
This creates a very accurate and reactive indicator, that can prove useful in many uses, beyond those I will and did talk about.
For the trend logic as mentioned before:
Long = WMA > KEWMA
Short = WMA < KEWMA
This worked best, but you might find better ways of using it.
I think that is all I have to say about it, I left it open source so you can all code it in your strategies and play around with it.
Enjoy Gs!
3D Candles (Zeiierman)█ Overview
3D Candles (Zeiierman) is a unique 3D take on classic candlesticks, offering a fresh, high-clarity way to visualize price action directly on your chart. Visualizing price in alternative ways can help traders interpret the same data differently and potentially gain a new perspective.
█ How It Works
⚪ 3D Body Construction
For each bar, the script computes the candle body (open/close bounds), then projects a top face offset by a depth amount. The depth is proportional to that candle’s high–low range, so it looks consistent across symbols with different prices/precisions.
rng = math.max(1e-10, high - low ) // candle range
depthMag = rng * depthPct * factorMag // % of range, shaped by tilt amount
depth = depthMag * factorSign // direction from dev (up/down)
depthPct → how “thick” the 3D effect is, as a % of each candle’s own range.
factorMag → scales the effect based on your tilt input (dev), with a smooth curve so small tilts still show.
factorSign → applies the direction of the tilt (up or down).
⚪ Tilt & Perspective
Tilt is controlled by dev and translated into a gentle perspective factor:
slope = (4.0 * math.abs(dev)) / width
factorMag = math.pow(math.min(1.0, slope), 0.5) // sqrt softens response
factorSign = dev == 0 ? 0.0 : math.sign(dev) // direction (up/down)
Larger dev → stronger 3D presence (up to a cap).
The square-root curve makes small dev values noticeable without overdoing it.
█ How to Use
Traders can use 3D Candles just like regular candlesticks. The difference is the 3D visualization, which can broaden your view and help you notice price behavior from a fresh perspective.
⚪ Quick setup (dual-view):
Split your TradingView layout into two synchronized charts.
Right pane: keep your standard candlestick or bar chart for live execution.
Left pane: add 3D Candles (Zeiierman) to compare the same symbol/timeframe.
Observe differences: the 3D rendering can make expansion/contraction and body emphasis easier to spot at a glance.
█ Go Full 3D
Take the experience further by pairing 3D Candles (Zeiierman) with Volume Profile 3D (Zeiierman) , a perfect complement that shows where activity is concentrated, while your 3D candles show how the price unfolded.
█ Settings
Candles — How many 3D candles to draw. Higher values draw more shapes and may impact performance on slower machines.
Block Width (bars) — Visual thickness of each 3D candle along the x-axis. Larger values look chunkier but can overlap more.
Up/Down — Controls the tilt and strength of the 3D top face.
3D depth (% of range) — Thickness of the 3D effect as a percentage of each candle’s own high–low range. Larger values exaggerate the depth.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
RSI Divergence Screener [Pineify]RSI Divergence Screener
Key Features
Multi-symbol and multi-timeframe support for advanced market screening.
Real-time detection and visualization of bullish and bearish RSI divergences.
Seamless integration with core technical indicators and custom divergences.
Highly customizable parameters for precise adaptation to personal trading strategies.
Comprehensive screener table for swift asset comparison and analysis.
How It Works
The RSI Divergence Screener leverages the power of Relative Strength Index (RSI) to systematically track momentum shifts across cryptocurrencies and their respective timeframes. By monitoring both fast and slow RSI calculations, the screener isolates divergence signals—key reversal points that often precede major price moves.
The indicator calculates two RSI values for each selected asset: one with a short lookback (Fast RSI) and another with a longer period (Slow RSI).
It runs a comparative algorithm to find divergences—whenever Fast RSI deviates significantly from Slow RSI, it flags the signal as bullish or bearish.
All detected divergences are dynamically presented in a table view, allowing traders to scan symbols and timeframes for optimal trading setups.
Trading Ideas and Insights
Spot early momentum reversals and preempt major price swings via divergence signals.
Combine multiple symbols and timeframes for cross-market trending opportunities.
Identify high-probability scalping and swing trading setups informed by RSI divergence logic.
Quickly compare crypto asset strength and trend exhaustion across short and long-term horizons.
How Multiple Indicators Work Together
This screener’s edge lies in its synergistic use of multi-setting RSI calculations and customizable input groups.
The dual-RSI approach (Fast vs. Slow) isolates subtle trend shifts missed by traditional single-period RSI.
Safe and reliable divergences arise only when the mathematical difference between Fast RSI and Slow RSI meets predefined thresholds, minimizing false positives.
Divergences are contextualized using tailored color codes and backgrounds, rendering insights immediately actionable.
You can expand analysis with additional moving average filters or overlays for further confirmation.
Unique Aspects
First-of-its-kind screener dedicated solely to RSI divergence, designed especially for crypto volatility.
Efficient screening of up to eight assets and multiple timeframes in one compact dashboard.
Intuitive iconography, color logic, and table layouts optimized for rapid decision-making.
Advanced input group design for fine-tuning indicator settings per symbol, timeframe, and source.
How to Use
Select up to eight cryptocurrency symbols to screen for divergence signals.
Assign individual timeframes and source prices for each asset to customize analysis.
Set Fast RSI and Slow RSI lengths according to your preferred strategy (e.g., scalping, swing, or trend following).
Review the screener table: colored cells highlight actionable bullish (green) and bearish (red) divergences.
Confirm trade setups with additional indicators or price action for robust risk management.
Customization
Symbols: Choose any crypto pair or ticker for dynamic divergence tracking.
Timeframes: Scan across 1m, 5m, 10m, 30m, and more for full market coverage.
RSI lengths: Configure Fast and Slow RSI periods based on volatility and trading style.
Visuals: Tailor table colors, fonts, and alert backgrounds per your preference.
Conclusion
The RSI Divergence Screener is a versatile, original TradingView indicator that empowers traders to scan, compare, and act on divergence signals with speed and precision. Its multi-symbol design, robust logic, and extensive customization options set a new standard for market screening tools. Integrate it into your crypto trading process to capture actionable opportunities ahead of the crowd and optimize your technical analysis workflow.
ICT Anchored Market Structures with Validation [LuxAlgo]The ICT Anchored Market Structures with Validation indicator is an advanced iteration of the original Pure-Price-Action-Structures tool, designed for price action traders.
It systematically tracks and validates key price action structures, distinguishing between true structural shifts/breaks and short-term sweeps to enhance trend and reversal analysis. The indicator automatically highlights structural points, confirms breakouts, identifies sweeps, and provides clear visual cues for short-term, intermediate-term, and long-term market structures.
A distinctive feature of this indicator is its exclusive reliance on price patterns. It does not depend on any user-defined input, ensuring that its analysis remains robust, objective, and uninfluenced by user bias, making it an effective tool for understanding market dynamics.
🔶 USAGE
Market structure is a cornerstone of price action analysis. This script automatically detects real-time market structures across short-term, intermediate-term, and long-term levels, simplifying trend analysis for traders. It assists in identifying both trend reversals and continuations with greater clarity.
Market structure shifts and breaks help traders identify changes in trend direction. A shift signals a potential reversal, often occurring when a swing high or low is breached, suggesting a transition in trend. A break, on the other hand, confirms the continuation of an established trend, reinforcing the current direction. Recognizing these shifts and breaks allows traders to anticipate price movement with greater accuracy.
It’s important to note that while a CHoCH may signal a potential trend reversal and a BoS suggests a continuation of the prevailing trend, neither guarantees a complete reversal or continuation. In some cases, CHoCH and BoS levels may act as liquidity zones or areas of consolidation rather than indicating a clear shift or continuation in market direction. The indicator’s validation component helps confirm whether the detected CHoCH and BoS are true breakouts or merely liquidity sweeps.
🔶 DETAILS
🔹 Market Structures
Market structures are derived from price action analysis, focusing on identifying key levels and patterns in the market. Swing point detection, a fundamental concept in ICT trading methodologies and teachings, plays a central role in this approach.
Swing points are automatically identified based exclusively on market movements, without requiring any user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real-time as they form. Short-term swing points may appear with a delay of up to one bar, while the identification of intermediate and long-term swing points is entirely dependent on subsequent market movements. Importantly, this detection process is not influenced by any user-defined input, relying solely on pure price action. As a result, swing points are generally not intended for real-time trading scenarios.
Instead, traders often analyze historical swing points to understand market trends and identify potential entry and exit opportunities. By examining swing highs and lows, traders can:
Recognize Trends: Swing highs and lows provide insight into trend direction. Higher swing highs and higher swing lows signify an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often act as resistance levels, referred to as Buyside Liquidity Levels in ICT terminology, while swing lows function as support levels, also known as Sellside Liquidity Levels. Traders can leverage these levels to plan their trade entries and exits.
Spot Reversal Patterns: Swing points can form key reversal patterns, such as double tops or bottoms, head and shoulders, and triangles. Recognizing these patterns can indicate potential trend reversals, enabling traders to adjust their strategies effectively.
Set Stop Loss and Take Profit Levels: In ICT teachings, swing levels represent price points with expected clusters of buy or sell orders. Traders can target these liquidity levels/pools for position accumulation or distribution, using swing points to define stop loss and take profit levels in their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔹 Logic of Validation
The validation process in this script determines whether a detected market structure shift or break represents a confirmed breakout or a sweep.
The breakout is confirmed when the close price is significantly outside the deviation range of the last detected structural price. This deviation range is defined by the 17-period Average True Range (ATR), which creates a buffer around the detected market structure shift or break.
A sweep occurs when the price breaches the structural level within the deviation range but does not confirm a breakout. In this case, the label is updated to 'SWEEP.'
A visual box is created to represent the price range where the breakout or sweep occurs. If the validation process continues, the box is updated. This box visually highlights the price range involved in a sweep, helping traders identify liquidity events on the chart.
🔶 SETTINGS
The settings for Short-Term, Intermediate-Term, and Long-Term Structures are organized into groups, allowing users to customize swing points, market structures, and visual styles for each.
🔹 Structures
Swings and Size: Enables or disables the display of swing highs and lows, assigns icons to represent the structures, and adjusts the size of the icons.
Market Structures: Toggles the visibility of market structure lines.
Market Structure Validation: Enable or disable validation to distinguish true breakouts from liquidity sweeps.
Market Structure Labels: Displays or hides labels indicating the type of market structure.
Line Style and Width: Allows customization of the style and width of the lines representing market structures.
Swing and Line Colors: Provides options to adjust the colors of swing icons, market structure lines, and labels for better visualization.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Market-Structures-(Intrabar).
Lorentzian Harmonic Flow - Temporal Market Dynamic Lorentzian Harmonic Flow - Temporal Market Dynamic (⚡LHF)
By: DskyzInvestments
What this is
LHF Pro is a research‑grade analytical instrument that models market time as a compressible medium , extracts directional flow in curved time using heavy‑tailed kernels, and consults a history‑based memory bank for context before synthesizing a final, bounded probabilistic score . It is not a mashup; each subsystem is mathematically coupled to a single clock (time dilation via gamma) and a single lens (Lorentzian heavy‑tailed weighting). This script is dense in logic (and therefore heavy) because it prioritizes rigor, interpretability, and visual clarity.
Intended use
Education and research. This tool expresses state recognition and regime context—not guarantees. It does not place orders. It is fully functional as published and contains no placeholders. Nothing herein is financial advice.
Why this is original and useful
Curved time: Markets do not move at a constant pace. LHF Pro computes a Lorentz‑style gamma (γ) from relative speed so its analytical windows contract when the tape accelerates and relax when it slows.
Heavy‑tailed lens: Lorentzian kernels weight information with fat tails to respect rare but consequential extremes (unlike Gaussian decay).
Memory of regimes: A K‑nearest‑neighbors engine works in a multi‑feature space using Lorentz kernels per dimension and exponential age fade , returning a memory bias (directional expectation) and assurance (confidence mass).
One ecosystem: Squeeze, TCI, flow, acceleration, and memory live on the same clock and blend into a single final_score —visualized and documented on the dashboard.
Cognitive map: A 2D heat map projects memory resonance by age and flow regime, making “where the past is speaking” visible.
Shadow portfolio metaphor: Neighbor outcomes act like tiny hypothetical positions whose weighted average forms an educational pressure gauge (no execution, purely didactic).
Mathematical framework (full transparency)
1) Returns, volatility, and speed‑of‑market
Log return: rₜ = ln(closeₜ / closeₜ₋₁)
Realized vol: rv = stdev(r, vol_len); vol‑of‑vol: burst = |rv − rv |
Speed‑of‑market (analog to c): c = c_multiplier × (EMA(rv) + 0.5 × EMA(burst) + ε)
2) Trend velocity and Lorentz gamma (time dilation)
Trend velocity: v = |close − close | / (vel_len × ATR)
Relative speed: v_rel = v / c
Gamma: γ = 1 / √(1 − v_rel²), stabilized by caps (e.g., ≤10)
Interpretation: γ > 1 compresses market time → use shorter effective windows.
3) Adaptive temporal scale
Adaptive length: L = base_len / γ^power (bounded for safety)
Harmonic horizons: Lₛ = L × short_ratio, Lₘ = L × mid_ratio, Lₗ = L × long_ratio
4) Lorentzian smoothing and Harmonic Flow
Kernel weight per lag i: wᵢ = 1 / (1 + (d/γ)²), d = i/L
Horizon baselines: lw_h = Σ wᵢ·price / Σ wᵢ
Z‑deviation: z_h = (close − lw_h)/ATR
Harmonic Flow (HFL): HFL = (w_short·zₛ + w_mid·zₘ + w_long·zₗ) / (w_short + w_mid + w_long)
5) Flow kinematics
Velocity: HFL_vel = HFL − HFL
Acceleration (curvature): HFL_acc = HFL − 2·HFL + HFL
6) Squeeze and temporal compression
Bollinger width vs Keltner width using L
Squeeze: BB_width < KC_width × squeeze_mult
Temporal Compression Index: TCI = base_len / L; TCI > 1 ⇒ compressed time
7) Entropy (regime complexity)
Shannon‑inspired proxy on |log returns| with numerical safeguards and smoothing. Higher entropy → more chaotic regime.
8) Memory bank and Lorentzian k‑NN
Feature vector (5D):
Outcomes stored: forward returns at H5, H13, H34
Per‑dimension similarity: k(Δ) = 1 / (1 + Δ²), weighted by user’s feature weights
Age fading: weight_age = mem_fade^age_bars
Neighbor score: sᵢ = similarityᵢ × weight_ageᵢ
Memory bias: mem_bias = Σ sᵢ·outcomeᵢ / Σ sᵢ
Assurance: mem_assurance = Σ sᵢ (confidence mass)
Normalization: mem_bias normalized by ATR and clamped into band
Shadow portfolio metaphor: neighbors behave like micro‑positions; their weighted net forward return becomes a continuous, adaptive expectation.
9) Blended score and breakout proxy
Blend factor: α_mem = 0.45 + 0.15 × (γ − 1)
Final score: final_score = (1−α_mem)·tanh(HFL / (flow_thr·1.5)) + α_mem·tanh(mem_bias_norm)
Breakout probability (bounded): energy = cap(TCI−1) + |HFL_acc|×k + cap(γ−1)×k + cap(mem_assurance)×k; breakout_prob = sigmoid(energy). Caps avoid runaway “100%” readings.
Inputs — every control, purpose, mechanics, and tuning
🔮 Lorentz Core
Auto‑Adapt (Vol/Entropy): On = L responds to γ and entropy (breathes with regime), Off = static testing.
Base Length: Calm‑market anchor horizon. Lower (21–28) for fast tapes; higher (55–89+) for slow.
Velocity Window (vel_len): Bars used in v. Shorter = more reactive γ; longer = steadier.
Volatility Window (vol_len): Bars used for rv/burst (c). Shorter = more sensitive c.
Speed‑of‑Market Multiplier (c_multiplier): Raises/lowers c. Lower values → easier γ spikes (more adaptation). Aim for strong trends to peak around γ ≈ 2–4.
Gamma Compression Power: Exponent of γ in L. <1 softens; >1 amplifies adaptation swings.
Max Kernel Span: Upper bound on smoothing loop (quality vs CPU).
🎼 Harmonic Flow
Short/Mid/Long Horizon Ratios: Partition L into fast/medium/slow views. Smaller short_ratio → faster reaction; larger long_ratio → sturdier bias.
Weights (w_short/w_mid/w_long): Governs HFL blend. Higher w_short → nimble; higher w_long → stable.
📈 Signals
Squeeze Strictness: Threshold for BB1 = compressed (coiled spring); <1 = dilated.
v/c: Relative speed; near 1 denotes extreme pacing. Diagnostic only.
Entropy: Regime complexity; high entropy suggests caution, smaller size, or waiting for order to return.
HFL: Curved‑time directional flow; sign and magnitude are the instantaneous bias.
HFL_acc: Curvature; spikes often accompany regime ignition post‑squeeze.
Mem Bias: Directional expectation from historical analogs (ATR‑normalized, bounded). Aligns or conflicts with HFL.
Assurance: Confidence mass from neighbors; higher → more reliable memory bias.
Squeeze: ON/RELEASE/OFF from BB
Breakdown or Buyable Dip? Pullback Depth Can HelpAs a common adage says, “the market doesn’t move in a straight line.” But when prices have fallen, it’s not always clear whether buying makes sense. That’s where today’s script may help.
Most traditional indicators judge movement based on price. That’s obviously important, but time can also be helpful. After all, there’s a big difference between probing a low from 2-3 weeks ago versus a low from months or even years in the past.
Pullback Depth clearly illustrates this by answering the question: “Today’s low is the lowest in how many bars?”
The resulting integer is plotted in a simple histogram. Values are always negative because bars with higher absolute values (meaning more negative, or further below zero) are potentially more bearish.
The study also has a maximum lookback period to avoid overwhelming the study with too many bars. Its default setting of 125 bars includes enough history to illustrate the trend.
The stock market’s recent run has seen only shallow pullbacks. Most dips have probed 1-2 weeks in the past, while Friday’s selloff only turned back the clock a month.
Consider two other previous moments.
First, the great bull run of 1995 saw only shallow pullbacks. (None exceeded 50 days.):
In contrast, early 2022 saw the S&P 500 test levels more than 100 candles into the past. It soon fell into an official “bear market:”
TradeStation has, for decades, advanced the trading industry, providing access to stocks, options and futures. If you're born to trade, we could be for you. See our Overview for more.
Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors.
Securities and futures trading is offered to self-directed customers by TradeStation Securities, Inc., a broker-dealer registered with the Securities and Exchange Commission and a futures commission merchant licensed with the Commodity Futures Trading Commission). TradeStation Securities is a member of the Financial Industry Regulatory Authority, the National Futures Association, and a number of exchanges.
TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
Tweezer & Kangaroo Zones [WavesUnchained]Tweezer & Kangaroo Zones
Pattern Recognition with Supply/Demand Zones
Indicator that detects tweezer and kangaroo tail (pin bar) reversal patterns and creates supply and demand zones. Includes volume validation, trend context, and confluence scoring.
What You See on Your Chart
Pattern Labels:
"T" (Red) - Tweezer Top detected above price → Bearish reversal signal
"T" (Green) - Tweezer Bottom detected below price → Bullish reversal signal
"K" (Red) - Kangaroo Bear (Pin Bar rejection from top) → Bearish signal
"K" (Green) - Kangaroo Bull (Pin Bar rejection from bottom) → Bullish signal
Label Colors Indicate Pattern Strength:
Dark Green/Red - Strong pattern (score ≥8.0)
Medium Green/Red - Good pattern (score ≥6.0)
Light Green/Red - Valid pattern (score <6.0)
Zone Boxes:
Red Boxes - Supply Zones (resistance, potential short areas)
Green Boxes - Demand Zones (support, potential long areas)
White Border - Active zone (fresh, not tested yet)
Gray Border - Inactive zone (expired or invalidated)
Pattern Detection
Tweezer Patterns (Classic Double-Top/Bottom):
Flexible Lookback - Detects patterns up to 3 bars apart (not just consecutive)
Precision Matching - 0.2% level tolerance for high-quality signals
Wick Similarity Check - Both candles must show similar rejection wicks
Volume Validation - Second candle requires elevated volume (0.8x average)
Pattern Strength Score - 0-1 quality rating based on level match + wick similarity
Optional Trend Context - Can require trend alignment (default: OFF for more signals)
Kangaroo Tail / Pin Bar Patterns:
No Pivot Delay - Instant detection without waiting for pivot confirmation
Body Position Check - Body must be at candle extremes (30% tolerance)
Volume Spike - Rejection must occur with volume (0.9x average)
Rejection Strength - Scores based on wick length (0.5-0.9 of range)
Optional Trend Context - Bearish in uptrends, Bullish in downtrends (default: OFF)
Zone Management
Auto-Created Zones - Every valid pattern creates a supply/demand zone
Overlap Prevention - Zones too close together (50% overlap) are not duplicated
Lifetime Control - Zones expire after 400 bars (configurable)
Smart Invalidation - Zones invalidate when price closes through them
Styling Options - Choose between Solid, Dashed, or Dotted borders
Border Width - 2px width for better visibility
Confluence Scoring System
Multi-factor confluence scoring (0-10 scale) with configurable weights:
Regime (EMA+HTF) - Trend alignment across timeframes (Weight: 2.0)
HTF Stack - Multi-timeframe trend confluence (Weight: 3.0)
Structure - Higher lows / Lower highs confirmation (Weight: 1.0)
Relative Volume - Volume surge validation (Weight: 1.0)
Chop Advantage - Favorable market conditions (Weight: 1.0)
Zone Thinness - Tight zones = better R/R (Weight: 1.0)
Supertrend - Trend indicator alignment (Weight: 1.0)
MOST - Moving Stop alignment (Weight: 1.0)
Pattern Strength - Quality of detected pattern (Weight: 1.5)
Zone Retest Signals
Signals generated when zones are retested:
BUY Signal - Price retests demand zone from above (score ≥4.5)
SELL Signal - Price retests supply zone from below (score ≥5.5)
Normalized Score - Displayed as 0-10 for easy interpretation
Optional Trend Gate - Require trend alignment for signals (default: OFF)
Alert Ready - Built-in alertconditions for automation
Additional Features
Auto-Threshold Tuning - Adapts to ATR and Choppiness automatically
Session Profiles - Different settings for RTH vs ETH sessions
Organized Settings - 15+ input groups for easy configuration
Optional Panels - HTF Stack overview and performance metrics (default: OFF)
Data Exports - Hidden plots for strategy/library integration
RTA Health Monitoring - Built-in performance tracking
Setup & Configuration
Quick Start:
1. Apply indicator to any timeframe
2. Patterns and zones appear automatically
3. Adjust pattern detection sensitivity if needed
4. Configure zone styling (Solid/Dashed/Dotted)
5. Set up alerts for zone retests
Key Settings to Adjust:
Pattern Detection:
• Min RelVolume: Lower = more signals (0.8 Tweezer, 0.9 Kangaroo)
• Require trend context: Enable for stricter, higher-quality patterns
• Check wick similarity: Ensures proper rejection structure
Zone Management:
• Zone lifetime: How long zones remain active (default: 400 bars)
• Invalidate on close-through: Remove zones when price breaks through
• Max overlap: Prevent duplicate zones (default: 50%)
Scoring:
• Min Score BUY/SELL: Higher = fewer but better signals (default: 4.5/5.5)
• Component weights: Customize what factors matter most
• Signals require trend gate: OFF = more signals, ON = higher quality
Visual Customization
Zone Colors - Light red/green with 85% transparency (non-intrusive)
Border Styles - Solid, Dashed, or Dotted
Label Intensity - Darker greens for better readability
Clean Charts - All panels OFF by default
Understanding the Zones
Supply Zones (Red):
Created from bearish patterns (Tweezer Tops, Kangaroo Bears). Price made a high attempt to push higher, but was rejected. These become resistance areas where sellers may step in again.
Demand Zones (Green):
Created from bullish patterns (Tweezer Bottoms, Kangaroo Bulls). Price made a low with strong rejection. These become support areas where buyers may step in again.
Zone Quality Indicators:
• White border = Fresh zone, not tested yet
• Gray border = Zone expired or invalidated
• Thin zones (tight range) = Better risk/reward ratio
• Thick zones = Less precise, wider stop required
Trading Applications
Reversal Trading - Enter at pattern detection with tight stops
Zone Retest Trading - Wait for retests of established zones
Trend Confluence - Trade only when patterns align with trend
Risk Management - Use zone boundaries for stop placement
Target Setting - Opposite zones become profit targets
Pro Tips
Best signals occur when pattern + zone retest + trend all align
Lower timeframes = more signals but more noise
Higher timeframes = fewer but more reliable signals
Start with default settings, adjust based on your market
Combine with other analysis (structure, key levels, etc.)
Use alerts to avoid staring at charts all day
Important Notes
Not all patterns will lead to successful trades
Use proper risk management and position sizing
Patterns work best in trending or range-bound markets
Very choppy conditions may produce lower-quality signals
Always confirm with your own analysis before trading
Technical Specifications
• Pine Script v6
• RTA-Core integration
• RTA Core Library integration
• Maximum 200 boxes, 500 labels
• Auto-tuning based on ATR and Choppiness
• Session-aware threshold adjustments
• Memory-optimized zone management
What's Included
Tweezer Top/Bottom detection
Kangaroo Tail / Pin Bar detection
Automatic supply/demand zone creation
Volume validation system
Pattern strength scoring
Zone retest signals
Multi-factor confluence scoring
Optional HTF Stack panel
Optional performance metrics
Session profile support
Auto-threshold tuning
Alert conditions
Data exports for strategies
Author Waves Unchained
Version 1.0
Status Public Indicator
Summary
Reversal pattern detection with zone management, volume validation, and confluence scoring for tweezer and kangaroo tail patterns.
---
Disclaimer: This indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management.
Free Stock ScreenerMissing great trade opportunities is annoying, and unless you have 12 screens or only trade one market, you are missing a lot of trades. To fix that, we created this free stock screener so you get notified instantly of potential great trading conditions in real time, right on your chart.
You get notified of trading benchmarks being met by the value being displayed on the scanner as well as a color change so that it grabs your attention and makes you aware that you should take a look at the other market and look for a potential trade. It also has built in alerts so you can have an alert notification go off when any of your trading conditions are met instead of needing to watch the scanner for color changes.
The screener will change the ticker symbol background color to red green when price is above or below the previous daily range and above or below both VWAPs. This signals that the ticker is trending, which typically means it is a great time to trade that market and follow the trend.
This free stock screener allows you to scan up to 10 different markets at the same time for various different conditions so you always know what is going on with your favorite trading symbols. If you want to scan more tickers, just add the indicator to your chart again and change the table position to the other side of the screen and update the tickers on the 2nd screener, allowing you to have 20 tickers at a time.
The scanner can be fully customized by changing the markets that it screens and turning on or off as many of them as you would like. You can also turn on or off any of the different data sets so that you only get information about trading conditions that matter to you.
The screener can provide data on any type of market, such as stocks, crypto, futures, forex and more. Each ticker can be adjusted to whatever market you would like it to scan for data in the settings panel, the only limitation is that it will not provide data for the VWAP and volume trend score if the ticker you are screening does not provide volume data.
Screener Features
The scanner will provide the following types of data for each ticker that is turned on:
Volume - Provides a volume score compared to the average volume and notifies you of higher than normal volume and volume spikes on individual bars by changing colors.
Volatility - Provides a volatility score compared to the average volatility and notifies you of higher than normal volatility by changing colors.
Oscillator - Choose between the RSI or CCI. The value of that oscillator will be displayed and will notify you when values are in extreme ranges such as overbought or oversold conditions according to the threshold values you enter in the settings panel. When those thresholds have been breached, you will be notified by it changing color.
Big Candles - Compares the current candle to average previous candle sizes, and changes color to notify you of big candles including a big top wick, big bottom wick, big candle body and big candle high to low range.
Daily Level Touches & Trends - Calculates and displays various daily candle and intraday open price levels that act as support and resistance. Notifies you when price is touching any of the daily levels that are turned on. The levels you can have on are as follows: previous day high, previous day low or previous day open. It also will notify you when price is touching the current day’s open, NY 930am open, Asia 8pm open, London 2am open and NY midnight 12am open. It will also say “Above” if price is above the previous day’s high or it will say “Below” if price is below the previous day’s low. The color of the cell will also change when a level touch is happening or price is above the previous day high or below the previous day low.
VWAP - Choose from 2 different VWAP lengths, default settings are daily and weekly VWAPs. You will get notified if price touches either of the VWAPs and they will also say “Above” or “Below” if price is currently above or below each VWAP.
How To Use The Screener To Help You Trade
The main purpose of the screener is to scan other markets and notify you of potential good trading opportunities such as price bouncing off of the daily levels or VWAPs. It can also be used to know when price is trending according to the VWAPs and daily levels. Lastly, you can use it to know how the volume and volatility trends are currently which gives you more confidence in taking a trade with this data when volume and volatility are present.
Volume Score
When volume is high, this represents a good time to trade because there are many market participants and price is likely to be volatile while there is high volume which can present a lot of good trade setups for you to take.
The volume score shown on the screener measures the current volume trend compared to previous volume trends and calculates that into a score based on 100 being the same as the previous volume trend. So any value above 100 means it is high volume and any value less than 100 means it is lower volume than normal.
In the settings panel, you can adjust the volume threshold that needs to be met for a volume notification to show up. The default setting is at 120, so you will get notified when the current volume trend score is 120 or higher or you can adjust that threshold value to whatever value you prefer.
It also will notify you when there is a volume spike on the current bar. This is determined by calculating an average of the recent volume totals and then checking to see if the current bar is greater than or equal to that average multiplied by 3. So if a single bar has volume that is greater than 3 times what the average volume is, then you will get a notification that says “Spike” to make you aware of that volume spike.
The volume trend threshold, volume spike multiplier and lookback length for the average volume used in volume spike calculations can all be adjusted in the settings panel to fit your desired preferences.
Volatility Score
High volatility can mean it is a great time to trade because the market is moving quickly and providing large enough movements that you can get in and out in a short amount of time, while still accruing decent sized trade PnL.
The volatility score will calculate the current volatility for each market compared to previous conditions and then divide the current volatility by the average volatility to give you a volatility score. Anything over 100 means the market is decently volatile and you should look at that market to find potential trade setups to execute on. Anything below 100 means the market is not very volatile and it is usually best to just wait until volatility returns before you start trading again.
The screener will notify you when the volatility score is above the threshold you set. The default value is set to 90, but can be adjusted to your preference. Pay attention to any market that shows an alert and take a look at that chart because the high volatility may present a good trade setup for you in the near future.
Oscillator Score
The oscillator data can be switched between Relative Strength Index(RSI) and Commodity Channel Index(CCI).
The RSI provides a value between 0 and 100 that indicates the momentum and strength of the recent price action. Many traders use the extremes of the 0-100 range to signal overbought or oversold conditions and use that as a sign to look for price to reverse in the near future. The typical values used for this and the default settings to provide notifications are: 70 for overbought and 30 for oversold. The scanner will notify you when the RSI value is considered overbought or oversold so you know to take a look at the chart and analyze if it is ready for a trade to be taken.
The CCI provides a value that can be used to determine the trend strength of the underlying asset when the oscillator moves above 100 or below -100. These extreme values are outside of the normal accumulation range and signify that price is moving strongly in that direction so it may be a good time to take a trade in the direction of the trend. The scanner will show you the value of the CCI for each market and notify you if that value is above 100 or below -100.
Both RSI and CCI settings can be adjusted in the settings panel to your desired settings so you have the exact oscillator settings you prefer to use as well as the exact values that you want to use for being notified.
Big Candles
Big candles can mean that many traders are buying or selling at the same time and many times indicate a good signal to trade in that same direction. That is why we included this calculation in the screener, so you are always aware when a large candle prints.
It calculates the average size of the recent candles and then uses that average as the benchmark to determine if the current candle is considered big and worthy of notifying you to take a look at that chart.
You can adjust the multiplier used for the big candle threshold to whatever you desire, but the default setting is 3 which means the candle will be considered big and notify you if it is 3 times as large as an average candle.
The big candles data will track the following candle values and notify you with these labels:
High to Low candle size = HL
Candle Body from open to close candle size = OC
Top Wick size = TW
Bottom Wick size = BW
Daily Level Touches & Trend
Daily level touches are excellent levels to watch for price to bounce because they often act as support and resistance levels for intraday trading. The scanner will track each market and notify you when the current candle is touching any of the daily levels that you have turned on in the settings panel.
The main levels that are turned on by default and are useful for all markets and how they will be labeled on the scanner are as follows:
Previous Day High = High
Previous Day Low = Low
Previous Day Open = < Open
Previous Day Close = Close
Current Day Open = Open
We also included some extra levels that are useful for futures traders. They are as follows:
NY 930am Open = 930am
NY 12am Midnight Open = 12am
Asia Open at 8pm NY time = Asia
London Open at 2am NY Time = London
Watch how price reacts to these levels and then trade the bounces off of these levels if the price action confirms that it is going to respect that level.
When price is currently above the previous day high, the scanner will say “Above” and show a green color, indicating a bullish trend and that price is above the previous daily candle’s high.
When price is currently below the previous day low, the scanner will say “Below” and show a red color, indicating a bearish trend and that price is below the previous daily candle’s low.
Pay attention to when price is trending above or below the previous daily candle as those trends can provide excellent trend trading opportunities.
The daily levels that you have turned on in the settings will also show as lines on the chart and include a label next to them, identifying each level so you know what each line represents. You can turn on or off all of the lines shown on the chart in the main settings or turn them off one by one in the style panel of the settings. Labels can also be turned on or off for all of the lines in the main settings panel. You can adjust the label positioning in the Label Offset section of the settings panel.
VWAP Touches & Trend
VWAP stands for volume weighted average price and is a very popular tool that traders use to determine trend direction based on volume as well as an excellent level to trade price bounces off of.
The typical VWAP time period used is Daily, which means the volume weighted average price will reset at the beginning of a new day. We set the first VWAP to be the daily VWAP by default and the second one to be the weekly VWAP. You can adjust both of the time periods to be any of the provided time lengths that you choose.
The screener will show “Above” with a green background color when price is above the VWAP, indicating a bullish trend. It will show “Below” with a red background color when price is below the VWAP, indicating a bearish trend. When both VWAPs are showing Above or Below, you can expect price to trend in that direction, so look for pullbacks you can trade in the direction of the trend. If the VWAPs are showing different directions, then you should expect to bounce back and forth between the VWAPs, but be careful and watch out for price to break beyond either one and start a trend.
When the current candle is touching the VWAP, the scanner will change colors and say VWAP to notify you that price is touching the VWAP and you should look at that chart and analyze the market for a potential bounce off of the VWAP to trade.
Trending Market Signals
Strong trends are excellent markets to trade and can many times provide excellent trading opportunities that don’t require expert price action reading skills to be able to take winning trades from. That is why we included a signal to notify you of a strong trending market.
The strong trending market will show up as a green or red background color for the ticker name. If the color of the ticker name is green, it is notifying you that the price is above the previous daily high, above VWAP 1 and above VWAP 2 and is a good market to look for bullish trend trades. If the color of the ticker name is red, it is notifying you that the price is below the previous daily low, below VWAP 1 and below VWAP 2 and is a good market to look for bearish trend trades.
Changing The Tickers It Scans
To change the tickers that the indicator scans, scroll near the bottom of the settings panel and select the ticker symbol you want to update and then search for the exact symbol you want to use. If you want to scan less tickers, then just turn some of the tickers off that you don’t need.
Scanning More Than 10 Tickers
If you want to scan more than 10 tickers, you can add the scanner to your chart again and then just change the table position to the other side of the screen. This will allow you to scan 10 more tickers that will show up separately. Then if you want even more, just add the indicator to your chart again and update the table position until you have as many markets as you want. The table position setting can be found at the bottom of the main settings panel.
Alerts
The screener has alerts that can be used to notify you when any of the data set thresholds have been met or if price is touching one of the levels. You can set alerts for the following events:
Bullish Trend Alert - Price is above the previous daily high and above both VWAPs.
Bearish Trend Alert - Price is below the previous daily low and below both VWAPs.
High Volume Alert - Volume is higher than the threshold or a volume spike is detected.
High Volatility Alert - Volatility is higher than the threshold.
Oscillator Is Extended Alert - Oscillator value has exceeded the upper or lower threshold.
Big Candle Alert - A big candle has been detected.
Daily Level Touch Alert - One of the daily levels that is turned on is being touched.
VWAP Touch Alert - One of the 2 VWAPs are being touched.
An alert will trigger when any one of tickers on your scanner meets the alert conditions, so when you see the alert, you will need to go to your chart and look at the scanner to see which ticker it was and then navigate to that chart to look for potential trade setups.
The alerts will use the exact same settings you have configured in the settings panel to send you alert notifications. With normal settings, this could give you a lot of alerts, so if you only want alerts to fire when abnormal conditions are being met, try setting up a second screener on your chart that has very high threshold values and only has the most important level touches on. Then turn the setting "Do Not Show The Screener On The Chart" to off so the calculations will still run and fire alerts, but won't clog up your charts. This way you can only get alert notifications when major events happen but still have your normal screener settings available on your chart.
Markets This Can Be Used On
This screener uses the price action and volume data so you can use it to scan any type of market you would like as long as the ticker you are scanning has price and volume data feeds. If a market does not have volume data, then it will just show NaN in the volume row and the VWAP rows will not show anything.
Directional Indicator Crossovers v1[JopAlgo]Directional Indicator Crossovers v1 — the classic DMI, made clearer and easier to act on
We'd like to introduce you to a more relaxed, streamlined version of DI. While it may not seem like it at first glance, we've taken the D+/D- method as a starting point and developed our own version of this indicator: two lines, a smooth green/red field indicating who's in control, and clear crossover alerts for a flip. We deliberately chose the step line representation because it closely matches the candlestick patterns on the chart. Designed to help you react faster—without clutter.
What you’ll see
+DI (green) and −DI (red) using classic Wilder smoothing.
A soft control zone between the lines: green when +DI dominates, red when −DI dominates.
Crossover alerts (no labels, no background flooding)—just the turning points.
Why this helps
Instant bias: the shaded field tells you who’s in control without reading values.
Cleaner execution: minimal visuals keep focus on the handoff (+DI↔−DI) and your price levels.
Actionable by design: built-in alerts fire right at the flip to route into your workflow.
How to read it
Bias: Green zone → buyers lead. Red zone → sellers lead.
Trigger: Consider entries on the DI crossover that aligns with your higher-timeframe context (trend, S/R, OB).
Patience in chop: If flips are frequent in tight ranges, wait for sustained zone dominance or confirm on a higher TF.
Exit/flip: Opposite crossover or a clear loss of dominance.
Settings that matter
DI Length (default 14): Higher = calmer, fewer flips. Lower = faster, more signals.
Visuals: Keep the control zone on for quick reads; hide crossover marks if you prefer pure lines.
Alerts: Enable bullish and bearish DI cross alerts; connect to notifications or webhooks as needed.
Starter presets
Intraday (15m–1H): DI Length 12–14 for quicker handoffs.
Swing (4H–1D): DI Length 14–20 for cleaner signals.
Choppy assets: Nudge length higher to dampen noise.
Where it shines (and limits)
Best: Liquid markets (crypto majors, indices, large caps) where handoffs matter.
Works elsewhere: Still useful on slower pairs; extend length for stability.
Limit: Frequent flips in low-range sessions—pair with HTF bias or structure.
Alerts included
Bullish DI Crossover: +DI crosses above −DI.
Bearish DI Crossover: −DI crosses above +DI.
Attribution & License
Built on the Directional Movement Index concept by J. Welles Wilder Jr. (1978).
Independent Pine v6 implementation (not derived from TradingView’s built-in source).
Released as Open Source (MPL-2.0)—please keep the license header intact.
Disclaimer
For educational purposes only; not financial advice. Trading involves risk. Test first, use clear levels, and manage risk. This project is independent and not affiliated with or endorsed by TradingView.
Bollinger Band Screener [Pineify]Multi-Symbol Bollinger Band Screener Pineify – Advanced Multi-Timeframe Market Analysis
Unlock the power of rapid, multi-asset scanning with this original TradingView Pine Script. Expose trends, volatility, and reversals across your favorite tickers—all in a single, customizable dashboard.
Key Features
Screens up to 8 symbols simultaneously with individual controls.
Covers 4 distinct timeframes per symbol for robust, multi-timeframe analysis.
Integrates advanced Bollinger Band logic, adaptable with 11+ moving average types (SMA, EMA, RMA, HMA, WMA, VWMA, TMA, VAR, WWMA, ZLEMA, and TSF).
Visualizes precise state changes: Open/Parallel Uptrends & Downtrends, Consolidation, Breakouts, and more.
Highly interactive table view for instant signal interpretation and actionable alerts.
Flexible to any market: crypto, stocks, forex, indices, and commodities.
How It Works
For each chosen symbol and timeframe, the script calculates Bollinger Bands using your specified source, length, standard deviation, and moving average method.
Real-time state recognition assigns one of several states (Open Rising, Open Falling, Parallel Rising, Parallel Falling), painting the table with unique color codes.
State detection is rigorously defined: e.g., “Open Rising” is set when both bands and the basis rise, indicating strong up momentum.
All bands, signals, and strategies dynamically update as new bars print or user inputs change.
Trading Ideas and Insights
Identify volatility expansions and compressions instantly, spotting breakouts and breakdowns before they play out.
Spot multi-timeframe confluences—when trends align across several TFs, conviction increases for potential trades.
Trade reversals or continuations based on unique Bollinger Band patterns, such as squeeze-break or persistent parallel moves.
Harness this tool for scalping, swing trading, or systematic portfolio screens—your logic, your edge!
How Multiple Indicators Work Together
This screener’s core strength is its integration of multiple moving average types into Bollinger Band construction, not just standard SMA. Each average adapts the bands’ responsiveness to trend and noise, so traders can select the underlying logic that matches their market environment (e.g., HMA for fast moves or ZLEMA for smoothed lag). Overlaying 4 timeframes per symbol ensures trends, reversals, and volatility shifts never slip past your radar. When all MAs and bands synchronize across symbols and TFs, it becomes easy to separate real opportunity from market noise.
Unique Aspects
Perhaps the most flexible Bollinger Band screener for TradingView—choose from over 10 moving average methods.
Powerful multi-timeframe and multi-asset design, rare among Pine scripts.
Immediate visual clarity with color-coded table cells indicating band state—no need for guesswork or chart clutter.
Custom configuration for each asset and time slice to suit any trading style.
How to Use
Add the script to your TradingView chart.
Use the user-friendly input settings to specify up to 8 symbols and 4 timeframes each.
Customize the Bollinger Band parameters: source (price type), band length, standard deviation, and type of moving average.
Interpret the dashboard: Color codes and “state” abbreviations show you instantly which symbols and timeframes are trending, consolidating, or breaking out.
Take trades according to your strategy, using the screener as a confirmation or primary scan tool.
Customization
Fully customize: symbols, timeframes, source, band length, standard deviation multiplier, and moving average type.
Supports intricate watchlists—anything TradingView allows, this script tracks.
Adapt for cryptos, equities, forex, or derivatives by changing symbol inputs.
Conclusion
The Multi-Symbol Bollinger Band Screener “Pineify” is a comprehensive, SEO-optimized Pine Script tool to supercharge your market scanning, trend spotting, and decision-making on TradingView. Whether you trade crypto, stocks, or forex—its fast, intuitive, multi-timeframe dashboard gives you the informational edge to stay ahead of the market.
Try it now to streamline your trading workflow and see all the bands, all the trends, all the time!
Bull-Bear EfficiencyBull-Bear Efficiency
This indicator measures the directional efficiency of price movement across many historical entry points to estimate overall market bias. It is designed as a trend gauge rather than a timing signal.
Concept
For each historical bar (tau) and a chosen lookahead horizon (h), the script evaluates how efficiently price has traveled from that starting point to the endpoint. Efficiency is defined as the net price change divided by the total absolute movement that occurred along the path.
Formula:
E(tau,h) = ( Price - Price ) / ( Sum from i = tau+1 to tau+h of | Price - Price | )
This measures how "straight" the path was from the entry to the current bar:
If price moved steadily upward, the numerator and denominator are nearly equal, and E approaches +1 (efficient bullish trend).
If price moved steadily downward, E approaches -1 (efficient bearish trend).
If price chopped back and forth, the denominator grows faster than the numerator, and E approaches 0 (inefficient movement).
The algorithm computes this efficiency for many past starting points and multiple horizons, optionally normalizing by ATR to account for volatility. The efficiencies are then weighted by recency to emphasize more recent behavior.
From this, the script derives:
Bull = weighted average of positive efficiencies
Bear = weighted average of negative efficiencies (absolute value)
Net = Bull - Bear (net directional efficiency)
Interpretation
Bull, Bear, and Net quantify how coherently the market has been trending.
Bull near 1.0, Bear near 0.0, Net > 0 -> clean upward trends; long positions have been more efficient.
Bear near 1.0, Bull near 0.0, Net < 0 -> clean downward trends; short positions have been more efficient.
Bull and Bear both small or similar -> low-efficiency, range-bound environment.
Net therefore acts as a "trend coherence index" that measures whether price action is directionally organized or noisy.
Practical Use
Trend filter:
Apply trend-following systems only when Net is strongly positive or negative.
Avoid them when Net is near zero.
Regime change detection:
Crossings through zero often correspond to transitions between trending and ranging regimes.
Momentum loss detection:
If price makes new highs but Net or Bull weakens, it suggests trend exhaustion.
Settings Overview
Lookback: Number of historical bars considered as entry points (tau values).
Horizons: List of forward projection lengths (in bars) for measuring efficiency.
Recency Decay (lambda): Exponential weighting that emphasizes recent data.
Normalize by ATR: Adjusts "effort" to account for volatility changes.
Display Options: Toggle Bull, Bear, Net, or Signed Average (S). Customize line colors.
Notes
This indicator does not produce entry or exit signals.
It is a statistical tool that measures how efficiently price has trended over time.
High Net values indicate smooth, coherent trends.
Low or neutral Net values indicate noisy, directionless conditions.
Bollinger Band ToolkitBollinger Band Toolkit
An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge.
This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay.
🔹 Core Features
1. Adaptive Bollinger Bands (σ + ATR)
Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance.
Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends.
2. %B & RSI Divergence Detection
🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish).
🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish).
✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme.
These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye.
3. Bollinger Band Squeeze (with Volume Filter)
Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history.
Volume confirmation ensures the squeeze only triggers when both volatility and participation contract.
Often marks the “calm before the storm” — breakout potential zones.
4. Multi-Timeframe Breakout Markers
Optionally displays breakouts from higher or lower timeframes using different colors/symbols.
Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal.
5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ)
Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map:
Price holding between ±1σ → stable range / mean-reverting behavior
Price riding near ±2σ → trending phase, sustained momentum
Price touching or exceeding ±3σ → volatility expansion or exhaustion zone
This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits.
⚙️ Inputs & Customization
Choose band type (SMA/EMA/SMMA/WMA/VWMA)
Adjust deviation multiplier (σ) and ATR multiplier
Toggle individual features (divergence dots, squeeze markers, inner bands, etc.)
Multi-timeframe and colour controls for advanced users
🧠 How to Use
Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal.
Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals.
Confirm direction using multi-timeframe breakouts and volume expansion.
💬 Why It Works
This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups.
