Top-line % MovesOverview
A clean, text-only overlay that shows price momentum at a glance. It prints one line at the top-center of your chart:
Movement | Day % | 3-Day % | Wk %
What it shows
Day - Percent change from today’s regular-session open to the latest price
3-Day - Percent change from the daily open 3 trading days ago
Wk - Percent change from the daily open 5 trading days ago
How it works
Pulls daily opens via request.security so it stays consistent across intraday and daily timeframes
Calculates percent moves versus those opens and renders a single centered text line
Transparent background, bright white text, no bars or lines, minimal chart footprint
Notes
“Wk” uses 5 trading days. If you prefer 7 calendar days, change the lookback to your preference
Daily opens follow the symbol’s TradingView session settings. Extended or 24h markets may differ from your broker’s definition of “open”
Best for
Quick momentum read without clutter
Screeners, streaming layouts, and compact dashboards
Inputs
None
Tags
percent change, overlay, momentum, daily open, intraday, text display, minimal, Pine v6
Trend Analizi
VWAP D/W/M + MA100 & EMA100 albanThis TradingView indicator displays three independent VWAPs (Volume Weighted Average Prices) along with MA100 (Simple Moving Average) and EMA100 (Exponential Moving Average) on the chart.
Key Features:
VWAP #1, VWAP #2, VWAP #3: Each VWAP can be configured independently with:
Source (hlc3, close, etc.)
Anchor period (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits)
Offset
Option to hide on daily or higher timeframes
MA100: 100-period Simple Moving Average
EMA100: 100-period Exponential Moving Average
Purpose:
This script is ideal for traders who want to track multiple VWAP levels simultaneously while also monitoring the 100-period moving averages for trend analysis. It provides a clean setup without bands or fills, focusing solely on price averages.
Use Cases:
Identify intraday or multi-timeframe VWAP levels
Combine VWAP levels with MA100/EMA100 for support/resistance analysis
Analyze trend direction and momentum using moving averages
GMH : Tech Bubble Good Morning Holding
Simulating How to Ride the Bubble — and Jump Out Before the Crash
Be careful! Most simulation results show that this strategy sometimes underperforms a simple buy-and-hold, because it gives away positions during deep retracements and buys back at higher thresholds.
Humans often struggle with cutting losses. When the pain becomes too much, they lose the confidence needed to execute even a reasonable strategy.
But in terms of mentality, this approach reduces long-term portfolio volatility. It helps investors feel more at peace, especially during real market crashes like the tech bubble in 2021.
How to use : Select TimeFrame 4HR on trading view
Liquidity Void Detector + Pro SignalsWhat This Indicator Does
This indicator detects “liquidity voids”—large displacement candles with very high body-to-wick ratios and size significantly above recent ATR—where price moved rapidly and left untested areas.
It automatically draws shaded boxes for new, non-overlapping voids, shows a moveable dashboard (void fill probabilities), and provides one clean, actionable long/short signal per void when price action and momentum confirm.
How It Works
Void Detection: Candles with a body/wick ratio and size above user threshold trigger a potential liquidity void.
Box Drawing: Each new void is drawn as a shaded box (yellow/orange) that never overlaps other active voids.
Signal Confirmation: A “LONG” or “SHORT” label appears at the first bar within each valid void if momentum and candlestick structure align.
Dashboard: User-selectable dashboard shows up-to-date stats on remaining unfilled, partially filled, and fully filled voids.
Alerts: Built-in alerts fire when a new high-probability long/short signal is detected (user must add alerts manually).
Key Features
No overlap, no clutter: Only the latest set of boxes and a single signal per event are drawn. Oldest boxes are pruned automatically.
Momentum filter: Signals combine void and trend strength for higher conviction, filtering out weak/fake moves.
Non-repainting: Signals, boxes, and logic only use confirmed bar data—no repaint or future leaks.
Adjustable settings: Every threshold (body/wick ratio, ATR size, maximum boxes, dashboard location, signal label size) is user-configurable.
Efficient for all timeframes and asset classes.
How to Use
Add to your chart:
Click "Add to Chart" or search “Liquidity Void Detector” in the indicator search panel.
Tune your inputs:
Adjust the Body/Wick Ratio and Min Size vs ATR for your market or timeframe.
Set the Void Box Length (how many bars the box displays), signal sensitivity, and maximum concurrent voids.
Move the dashboard as needed for your chart layout.
What to look for:
Yellow/orange boxes highlight recent liquidity voids—untested price gaps where future reactions may occur.
LONG/SHORT signals appear only where a fresh void coincides with confirmed momentum in that direction.
Dashboard tracks probability of voids remaining unfilled, being partially filled, or fully refilled by price.
Trading logic and best use:
Traders may use void boxes to anticipate where price might react, reverse, or trend continuation can resume.
Combine signals with additional price action confirmation such as S/R levels, order blocks, wick rejections, volume spikes, or patterns (e.g., pin bars, engulfing).
Use signal alerts in conjunction with order flow, session profile, or support/resistance tools for increased confluence.
Always backtest and demo trade before live use.
Important Compliance & Disclaimer
No advice: This tool provides visual context only. All trading and risk decisions are the user’s responsibility.
No repainting, original source: The code is fully open-source, uses only native Pine Script, and never repaints.
No spam, no links, no 3rd-party promotion: 100% TradingView House Rules compliant.
If you find this useful, please consider leaving a positive review, and remember to always confirm with your own analysis.
Nadaraya-Watson: Rational Quadratic Kernel (Opening Gap Shift)What we did to fix it: We didn't throw out the old data (that made it too jumpy early in the day).
Instead, we "tricked" the kernel by shifting all the previous day's prices up or down by the exact gap amount (e.g., if it gapped up 50 points, add 50 to every old price point). This makes the history "line up" with the new day's starting level.
Created so with a fresh session the Nadaraya-Watson Regression Kernel is relevant from the get go - no catch up on opening gaps.
All credit to jdehorty his full description is below.
What is Nadaraya–Watson Regression?
Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a weighting function that assigns a weight to each data point based on how close it is to the current point. The computed weights are then used to calculate the weighted average of the data points.
How is this different from using a Moving Average?
A Simple Moving Average is actually a special type of Kernel Regression that uses a Uniform (Retangular) Kernel function. This means that all data points in the specified lookback window are weighted equally. In contrast, the Rational Quadratic Kernel function used in this indicator assigns a higher weight to data points that are closer to the current point. This means that the indicator will react more quickly to changes in the data.
Why use the Rational Quadratic Kernel over the Gaussian Kernel?
The Gaussian Kernel is one of the most commonly used Kernel functions and is used extensively in many Machine Learning algorithms due to its general applicability across a wide variety of datasets. The Rational Quadratic Kernel can be thought of as a Gaussian Kernel on steroids; it is equivalent to adding together many Gaussian Kernels of differing length scales. This allows the user even more freedom to tune the indicator to their specific needs.
The formula for the Rational Quadratic function is:
K(x, x') = (1 + ||x - x'||^2 / (2 * alpha * h^2))^(-alpha)
where x and x' data are points, alpha is a hyperparameter that controls the smoothness (i.e. overall "wiggle") of the curve, and h is the band length of the kernel.
Does this Indicator Repaint?
No, this indicator has been intentionally designed to NOT repaint. This means that once a bar has closed, the indicator will never change the values in its plot. This is useful for backtesting and for trading strategies that require a non-repainting indicator.
Settings:
Bandwidth. This is the number of bars that the indicator will use as a lookback window.
Relative Weighting Parameter. The alpha parameter for the Rational Quadratic Kernel function. This is a hyperparameter that controls the smoothness of the curve. A lower value of alpha will result in a smoother, more stretched-out curve, while a lower value will result in a more wiggly curve with a tighter fit to the data. As this parameter approaches 0, the longer time frames will exert more influence on the estimation, and as it approaches infinity, the curve will become identical to the one produced by the Gaussian Kernel.
Color Smoothing. Toggles the mechanism for coloring the estimation plot between rate of change and cross over modes.
Macro Flow Assistant — Full Clean Levels public versionpublic easy macro flow tracker.
important levels only marked.
trend bias.
Highlight Selected PeriodEdit and put what month or week you want and it will highlight all january's or all second weeks of the month to try and see if there are any patterns.
Presidential ScannerThe Presidential Scanner is an advanced analysis tool that combines state-of-the-art algorithmic calculations with the processing of economic and macroeconomic data in real time.
Thanks to its intelligent technology, it detects high-potential market revenue, offering clear, profitable and highly operationally effective signals.
Kalman Multi Timeframe TrendThe Kalman Multi Timeframe Trend uses a Kalman-filtered “fair value” line on two timeframes to map out trend structure and bias. Instead of relying on raw EMAs, it smooths price with a Kalman filter on both the chart timeframe (LTF) and a higher timeframe (HTF), then shows how price behaves relative to both.
When price trades above both Kalman lines, the market is in a strong, aligned bullish state. When it trades below both, it is in a strong, aligned bearish state. The indicator plots the LTF and HTF Kalman lines and draws a coloured cloud between them only when both are pointing in the same direction, visually highlighting high-conviction trend regimes.
Key points:
Kalman filter creates a smooth, adaptive fair value line on both LTF and HTF.
Bull cloud appears when price is above both Kalman lines (strong uptrend context).
Bear cloud appears when price is below both Kalman lines (strong downtrend context).
Great as a bias layer: trade in the direction of the active cloud, be cautious when no cloud is present.
Alerts fire when price first moves into a bull or bear Kalman Cloud regime.
Target Reach & Trend ProjectionTarget Reach & Trend Projection
Overview: The Target Reach & Trend Projection indicator helps traders estimate how long (in candles) it might take for the price to reach a chosen target level, while also providing insight into the current and higher-timeframe trend directions.
Key Features
1. Target Projection: Set your custom Target Price manually.
The indicator calculates the expected number of candles needed to reach that price, based on recent price velocity.
Displays an estimated date and time for when the price could reach your target.
2. Trend Detection (Local): Detects the current market direction using one of two methods:
Linear Trend: Measures direct slope between candles.
Smoothed Trend: Uses a moving average slope for cleaner, less noisy trend estimation.
3. Higher-Timeframe Confirmation: Confirms whether the higher timeframe (e.g., 4H, 1D) trend agrees with the local trend.
Displays “✅ Aligned” when both are in sync and “⚠️ Diverging” when not.
4. On-Chart Information: A dynamic label near the target price line shows:
Target level
Trend method used
Estimated candles to target
Current trend direction
Estimated time of arrival (ETA)
Higher-timeframe trend confirmation
5. Visual Feedback: Background color changes lightly to reflect trend direction (green for bullish, red for bearish).
6. Alerts: Optional alerts for when:
The target price is reached.
Both local and higher-timeframe trends align bullishly or bearishly.
How It Works
The script measures the average price velocity (slope) over a chosen lookback period.
It then divides the distance between the current price and the target by that slope to estimate how many candles it might take to get there.
It projects the estimated time of arrival based on your chart’s current timeframe.
The script also checks a higher timeframe trend (using a moving average) for multi-timeframe confirmation.
🧭 Use Cases
Estimating the time horizon for swing trades or targets.
Confirming momentum direction before entering or exiting positions.
Aligning intraday setups with higher-timeframe trends.
⚠️ Notes
Estimates assume current trend velocity continues — it does not predict future volatility or reversals.
Works best on time-based charts with clear directional movement (e.g., 1H, 4H, 1D).
Trend Zone BreakoutsThe HD Trend Zone Breakouts indicator identifies when the market is trending strongly on both your chart timeframe and a higher timeframe, then tracks moments where price becomes stretched inside that trend. When this stretch occurs, the indicator builds a dynamic zone capturing the full high–low range during that extension. Once the stretch ends, the zone is frozen, and the script waits to see how price reacts to it. Breakouts above or below these zones signal whether the trend is likely to continue or fail. This creates a powerful structure-based way to time entries, exits, and reversals without relying on noisy overbought/oversold signals.
How It Works
Confirms trend direction on both lower and higher timeframes using an EMA-based regime.
Detects stretched conditions using RSI only when both timeframes are aligned.
Draws a price zone around candles formed during these extreme trend pushes.
Freezes the zone once the stretch ends, creating a reference area.
Monitors for breakouts above/below the zone to confirm trend continuation or trend failure.
Breakout Logic
Bull continuation → price breaks above the top of a bullish zone.
Bull failure → price breaks below the bottom of a bullish zone.
Bear continuation → price breaks below the bottom of a bearish zone.
Bear failure → price breaks above the top of a bearish zone.
Why It’s Useful
Distinguishes meaningful extensions from ordinary RSI signals.
Provides clear structural levels for timing trades.
Identifies trend continuation early and flags potential reversals.
Works extremely well alongside EMAC Forecast, Trend Exhaustion Lite, and Volatility Squeeze.
Multi-TF Volatility Channel DashboardThis tool tracks where price sits inside a volatility channel on two timeframes at once and turns it into a simple trend state.
What it does
Builds a volatility channel around price using a midline and a volatility based band.
Converts the position of price inside that band into an oscillator that moves roughly between -100 and +100.
Calculates this oscillator on:
The current chart timeframe (LTF)
A selected higher timeframe (HTF)
From that it classifies each timeframe as:
Bull: oscillator above zero
Bear: oscillator below zero
Neutral: oscillator near zero
You can then see:
LTF oscillator line
HTF oscillator line
A small table showing LTF state, HTF state, and whether they are aligned
When both LTF and HTF are bullish or both are bearish, the background can highlight that period, and optional alerts fire.
How to use it
Trade in the direction of the higher timeframe when both lines agree.
Avoid taking counter trend trades when LTF and HTF are in strong but opposite states.
Use the LTF line for timing and the HTF line for directional bias.
Emac ForecastEMAC Forecast System
What it measures
The EMAC Forecast measures the speed and persistence of trend movement. Instead of only looking at whether one EMA is above or below another, the forecast quantifies how quickly momentum is building or fading across multiple time horizons.
It captures three things at once:
The direction of the underlying trend
The rate at which the trend is strengthening or weakening
The consistency of that change across several smoothing speeds
This produces a forward leaning view of trend conditions, not a trailing confirmation.
How to read the forecast
The EMAC Forecast is displayed as a scaled oscillator, typically ranging between negative and positive values.
Positive forecast values
Indicate that bullish trend pressure is increasing.
Higher readings mean stronger acceleration, not just price rising.
Negative forecast values
Indicate increasing bearish pressure.
Again, the strength of the negative reading reflects how quickly selling momentum is building.
Rising forecast (slope up)
Shows improving momentum, even if the value is still below zero.
Useful for catching early reversals or transitions from chop to trend.
Falling forecast (slope down)
Shows momentum fading, even when trend direction has not flipped yet.
Helps anticipate exhaustions and pullbacks.
Flat forecast
Indicates low conviction and lack of directional drive.
Often corresponds to chop or range conditions.
Why the EMAC Forecast is different from a regular EMAC
A standard EMAC or EMA crossover follows a simple rule:
When fast EMA crosses above slow EMA, bullish.
When fast EMA crosses below slow EMA, bearish.
This is reactive and only changes after price has already moved.
The EMAC Forecast works differently:
1. Uses multiple EMAs rather than two
Instead of comparing one fast and one slow average, it blends several time constants into a composite signal.
This creates a smoother, more reliable directional read.
2. Measures acceleration, not just position
Traditional crossovers only monitor whether lines have crossed.
EMAC Forecast measures the speed and force behind the movement.
It tells you how strong the trend is becoming, not just whether one line is above the other.
3. Adapts to volatility
Sharp markets increase weighting of fast components.
Calm markets increase influence of slower components.
This reduces whipsaws in low-volatility conditions and improves responsiveness in high-volatility environments.
4. Gives actionable information before a crossover happens
The forecast often turns before the EMAC direction flips, allowing early detection of:
Trend ignition
Trend fade
Momentum squeezes
Impending reversals
It effectively “leans forward” into the trend instead of waiting for a full reversal.
Practical Use Cases
Early trend identification
When the forecast first turns positive or negative, trend acceleration is beginning.
This is often visible before the EMAC lines cross.
Confirming the Combined Forecast System
Use the EMAC Forecast to validate signals from your other forecast models.
If both agree, conviction is notably higher.
Filtering noise
Short-term whipsaws are reduced because the composite structure dilutes erratic fast movements.
Trend aging and exhaustion
A falling forecast during a positive trend suggests reduced conviction and potential exhaustion.
Emac ML Adaptive CrossoverThe HDAlgos EMAC ML Adaptive Crossover is an adaptive trend reading and crossover system that uses a lightweight machine learning style scoring engine to detect regime shifts in the market. It blends multiple normalised technical features and automatically adjusts EMA lengths based on the detected market regime.
How it works
Feature Engine
The script computes several normalised indicators including RSI, ATR percentage, and Rate of Change. Each feature is converted into a z score so that the values behave consistently across different markets and timeframes. These feature values are then averaged to form a composite regime score.
Regime Detection
The composite score is compared to a dynamic upper and lower threshold. If the score rises above the upper boundary the regime becomes bullish. If the score falls below the lower boundary it becomes bearish. If it stays between the two boundaries the market is classified as neutral.
Adaptive EMAs
The fast and slow EMA lengths are automatically adjusted depending on the detected regime.
• In bullish regimes the fast and slow EMAs shorten.
• In bearish regimes they lengthen.
• In neutral regimes they revert to their base lengths.
This creates an EMA crossover system that responds to market volatility and directional strength rather than using fixed lookback values.
Crossovers
When the adaptive fast EMA crosses above the adaptive slow EMA, a bullish signal appears. When it crosses below, a bearish signal appears.
Visual Aids
• The fast EMA changes color to reflect the current regime.
• Candles can be optionally painted in regime colors.
• A label on the last bar shows the detected regime, score, and active EMA lengths.
• A compact table can be shown in the corner summarizing regime state and metrics.
Alerts
Alerts trigger when the regime changes, when a bullish adaptive crossover occurs, and when a bearish adaptive crossover occurs.
What it is designed for
This indicator is built for traders who want a crossover system that adapts to real market conditions instead of reacting to fixed length EMAs. It provides:
Smoother identification of trend phases
Dynamic sensitivity during strong conditions
Dampened reactions during noise and low conviction periods
Clear and simple signals that remain easy to interpret
Trend Exhaustion liteThe Trend Exhaustion Lite tool tracks the age and strength of the current directional move to show how mature or extended a trend has become. It converts complex statistical analysis into a simple visual panel and colour-coded background.
How It Works
Once a directional bias is established, the indicator measures: Direction (Bullish / Bearish phase), Trend Age (Number of bars since the current trend began), and Strength % (Relative intensity of the move on a 0–100 scale). Background colour shifts subtly as strength increases or fades, while the table displays live metrics.
Use Cases
Younger trends (low age): Usually early in development — potential continuation
Aging trends (high age, declining strength): Often nearing exhaustion; tighten risk or prepare for rotation
Combine with the Forecast Paint Engine or Trend Regime Lite for confirmation on when conviction is building or fading
Interpretation Example
Example Output:
Panel reads Direction: Bull, Age: 47 bars, Strength: 68%
Meaning:
The uptrend remains statistically healthy but entering a later stage — manage exposure accordingly
SMA Stufen-TP Strategie (200/100/50/25) mit ReentryStrategy Description for TradingView: Multi-SMA Momentum & Reentry System
This Pine Script strategy, named "SMA Stufen-TP Strategie (200/100/50/25) mit Reentry," is a Long-Only trend-following system designed to capitalize on upward momentum and capture significant gains while incorporating sophisticated logic for reentry after corrections.
The system relies on four Simple Moving Averages (SMAs): SMA 200, SMA 100, SMA 50, and SMA 25. These indicators are used to define the trend structure, trigger entries, and set dynamic, layered Take-Profit (TP) levels.
Entry Rules
The strategy has one main entry and two specific reentry triggers:
Main Entry (Standard Trend): A long position is opened when the price crosses above the SMA 200. This acts as the initial signal for a strong, long-term uptrend.
Reentry 1 (Medium Correction): This reentry is sought after an official exit (Stop Loss or Take Profit). It is permitted if the SMA 100 is above the SMA 200 and two conditions are met: the price previously dipped below the SMA 100 during the correction, and it now closes two consecutive bars above the SMA 100. This targets a confirmed bounce within an overall bullish structure.
Reentry 2 (Deep Correction/Momentum Shift): This triggers during a deep correction where all shorter SMAs (100, 50, 25) are below the SMA 200. Reentry occurs when the SMA 25 crosses above the SMA 50, signaling a powerful short-term momentum shift that precedes a larger recovery.
Exit and Take-Profit Logic
Exits are governed by a prioritized system including a fixed Stop Loss and three dynamic Take-Profit stages.
A. Stop Loss (Highest Priority)
The primary risk control is a fixed Stop Loss at -10% below the entry price. This is always the first exit condition checked.
B. Layered Take-Profits (TP)
Profits are secured using a step-wise mechanism that trails the price using the shorter SMAs, but only after specific profit thresholds are met. This ensures that the strategy provides ample room for a strong rally while securing gains as the trend matures.
TP Stage 1: Activated when the price first crosses above the SMA 100. The position is closed if the profit reaches 10% or more and the price closes two consecutive bars below the SMA 100.
TP Stage 2: Activated when the price first crosses above the SMA 50. The position is closed if the profit reaches 20% or more and the price closes two consecutive bars below the SMA 50.
TP Stage 3: Activated when the price first crosses above the SMA 25. The position is closed if the profit reaches 40% or more and the price closes two consecutive bars below the SMA 25.
The exit priority ensures that the tightest active stop is used: Stop Loss takes precedence, followed by TP 3 (the highest profit and tightest trail), then TP 2, and finally TP 1.
MTF Trend - Gold/XAU with DXY Filter + ADRThis MTF Dashboard has had an addition to it I have added the ADR to the MTF Dashboard this works with all assets but the DXY filter must be turned off If not Trading Gold The Dashboard gives Clarity to the Direction and the Strength of the Trend
Intraday Technical Strength Dashboard — 5m (Universal) — FIXED2An Intraday Technical Strength Dashboard for RSI, OBV, MACD, ADX, and EMA Cloud
Market Structure Volume Time Velocity ProfileThis is the Market Structure Volume Time Velocity Profile (MSVTVP). It combines event-based profiling with advanced metrics like Time and Velocity (Flow Rate). Instead of fixed time periods, profiles are anchored to critical market events (Swings, Structure Breaks, Delta Breaks), giving you a precise view of value development during specific market phases.
## The 3 Dimensions of the Market
Unlike standard tools that only show Volume, MSVTVP allows you
to switch between three critical metrics:
1. **VOLUME Profile (The "Where"):**
* Shows standard acceptance. High volume nodes (HVN)
are magnets for price.
2. **TIME Profile (The "How Long"):**
* Similar to TPO, it measures how long price spent at each
level.
* **High Time:** True acceptance and fair value.
* **Low Time:** Rejection or rapid movement.
3. **VELOCITY Profile (The "How Fast"):**
* Measures the **speed of trading** (Contracts per Second).
This reveals the hidden intent of market participants.
* **High Velocity (Fast Flow):** Aggression. Initiative
buyers/sellers are hitting market orders rapidly. Often
seen at breakouts or in liquidity vacu.
* **Low Velocity (Slow Flow):** Absorption. Massive passive
limit orders are slowing price down despite high volume.
Often seen at major reversals ("hitting a brick wall").
Key Features:
1. **Event-Based Profile Anchoring:** The indicator starts a new
profile based on one of three user-selected events
('Profile Anchor'):
- **Swing:** A new profile begins when the 'impulse baseline'
(derived from intra-bar delta) changes. This baseline
adjusts when a new **price pivot** is confirmed: When a
price **high** forms, the baseline moves to the **lower**
of its previous level or the peak delta (max of
delta O/C) at the pivot. When a price **low** forms, it
moves to the **higher** of its previous level or the
trough delta (min of delta O/C) at the pivot.
- **Structure:** A new profile begins immediately on the bar
that *confirms* a market structure break (e.g., a new HH
or LL, based on a sequence of price pivots).
- **Delta:** A new profile begins immediately on the bar
that *confirms* a break in the *cumulative delta's*
market structure (e.g., a new HH or LL in the delta).
Both 'Swing' and 'Delta' anchors are derived from the same
**continuous (non-resetting) Cumulative Volume Profile Delta (CVPD)**,
which is built from the intra-bar statistical analysis.
2. **Statistical Profile Engine:** For each bar in the anchored
period, the indicator builds a volume profile on a lower
'Intra-Bar Timeframe'. Instead of simple tick counting, it
uses advanced statistical models:
- **Allocation ('Allot model'):** 'PDF' (Probability Density
Function) distributes volume proportionally across the
bar's range based on an assumed statistical model
(e.g., T4-Skew). 'Classic' assigns all volume to
the close.
- **Buy/Sell Split ('Volume Estimator'):** 'Dynamic'
applies a model that analyzes candle wicks and
recent trend to estimate buy/sell pressure. 'Classic'
classifies all volume based on the candle color.
3. **Visualization & Lag:** The indicator plots the final
profile (as a polygon) and the developing statistical
lines (POC, VA, VWAP, StdDev).
- **Note on Lag:** All anchor events require `Pivot Right Bars`
for confirmation.
- In 'Structure' and 'Delta' mode, the developing lines
(POC, VA, etc.) are plotted using a **non-repainting**
method (showing the value from `pivRi` bars ago).
- In 'Swing' mode, the profile is plotted **retroactively**,
starting *from the bar where the pivot occurred*. The
developing lines are also plotted with this full
`pivRi` lag to align with the past data.
4. **Flexible Display Modes:** The finalized profile can be displayed
in three ways: 'Up/Down' (buy vs. sell), 'Total' (combined
volume), and 'Delta' (net difference).
5. **Dynamic Row Sizing:** Includes an option ('Rows per Percent')
to automatically adjust the number of profile rows (buckets)
based on the profile's price range.
6. **Integrated Alerts:** Includes 13 alerts that trigger for:
- A new profile reset ('Profile was resetted').
- Price crossing any of the 6 developing levels (POC,
VA High/Low, VWAP, StdDev High/Low).
- **Alert Lag Assumption:** In 'Swing' mode, alerts are
delayed to match the retroactively plotted lines.
In 'Structure' and 'Delta' modes, alerts fire in
**real-time** based on the *current price* crossing
the *current (repainting)* value of the metric, which
may **differ from the non-repainting plotted line.**
**Caution: Real-Time Data Behavior (Intra-Bar Repainting)**
This indicator uses high-resolution intra-bar data. As a result, the
values on the **current, unclosed bar** (the real-time bar) will
update dynamically as new intra-bar data arrives. This includes
the values used for real-time alerts in 'Structure' and
'Delta' modes.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
QQQ SR Pro.MARIA VICTORIAthis script is thinking to help traders to avoid false breakdown on resistant or support. try to improve enter en exist trading in any time frame, as well.
Taiwan Pagoda Chart (Triple)The code is open-source.
======================
Indicator Name
Taiwan Pagoda Chart
This is a technical analysis charting method similar to candlesticks but with different logic, designed to filter market noise and identify trend reversal points.
Key Features
Dynamic Pagoda Line Plotting
Unlike traditional candlesticks that plot every bar, the Pagoda line only updates when the price breaks above the previous high or below the previous low by a certain threshold.
Bullish (rising) bars are shown in green; bearish (falling) bars in red.
Multiple Optional Filters
T-value filter: Sets a minimum price change threshold to avoid signals from minor fluctuations.
Price percentage filter: Dynamically adjusts sensitivity based on a percentage of the previous Pagoda bar’s range.
ATR volatility filter: Uses Average True Range (ATR) to widen the threshold during high volatility and tighten it during low volatility.
Visual Design
Semi-transparent Pagoda structure for better visual context.
A bold central trend line to clearly show the underlying market direction.
Trading Signal Alerts
Bullish reversal (turning green): Potential buy signal.
Bearish reversal (turning red): Potential sell signal.
Optional on-chart labels (B / S) and support for TradingView alert notifications.
Highly Customizable
Users can freely adjust colors, line width, filtering rules, and signal visibility—making it adaptable to various trading styles.
Ideal Use Cases
Trend following
Reducing false breakouts
Helping medium-to-long-term traders identify high-probability entry and exit points
Adaptive Trend Trigger // VX-ATTAdaptive Trend Trigger // VX-ATT is a trend-following bias indicator that combines a baseline EMA with adaptive ATR bands and a momentum override layer.
Core idea:
The EMA defines the baseline trend.
ATR bands above/below the EMA mark zones where volatility is high enough to justify a directional push.
A break above the upper band switches the bias to Long.
A break below the lower band switches the bias to Short.
Strong candle bodies (measured vs. an average body size) can temporarily override the current bias when they close far above/below the EMA (momentum override).
What the indicator does:
Colors the background based on the active bias (Long/Short).
Plots EMA + ATR bands.
Marks strong momentum candles with arrows.
Provides alerts when the bias flips from Long → Short or Short → Long.
Typical use cases:
Trend filter for discretionary entries
Bias layer for strategies or additional indicators
Only trade in the direction of the active bias (e.g., favor Long setups in Long bias, avoid counter-trend scalps)
This is a simplified, free component extracted from my VX toolset (VX-ATT), designed as a clean, plug-and-play trend/bias layer you can combine with your own setups.






















