Pro Intraday Reaction Levels🔥 Pro Intraday Reaction Levels
Maps yesterday’s range into today’s highest-probability intraday reaction zones.
Pro Intraday Reaction Levels is a professional market structure tool built for intraday traders who want clear context, smarter trade location, and high-probability reaction areas — without clutter.
Instead of plotting simple previous day lines, this indicator visualizes the entire prior day range and builds adaptive reaction zones where price is statistically more likely to stall, reject, or reverse.
It helps you stop trading blindly into extremes — and start trading with structure.
🧭 What It Shows on Your Chart
📦 Previous Day Range Box
Clearly displays yesterday’s full high–low range so you instantly know whether price is:
• Trading inside value
• Testing extremes
• Breaking into expansion
🔥 Adaptive Reaction Zones
Dynamic zones around the previous day high and low where intraday reactions commonly occur.
These zones automatically adjust to volatility (ATR):
Higher volatility → tighter zones
Lower volatility → wider zones
This keeps levels relevant in both quiet and fast markets.
⚖ Range Midpoint (Optional)
Marks the equilibrium level of the prior day — a common decision area for intraday traders.
⏹ Previous Day Close (Optional)
Displays a key reference level often respected as support/resistance or bias confirmation.
🧠 Why Traders Love It
Markets frequently react at previous day extremes due to liquidity, trapped traders, and institutional positioning.
This tool helps you:
✔ Spot potential reversal zones
✔ Identify breakout acceptance vs rejection
✔ Frame intraday bias using higher timeframe structure
✔ Avoid entering trades directly into reaction areas
It’s not just levels — it’s location and context.
⚙ Smart Features
🔹 Automatic Volatility Adjustment
Reaction zones scale dynamically using ATR so they stay meaningful in all conditions.
🔹 Session Mode
Choose how levels are projected:
• RTH Only – Focus on regular trading hours
• All Sessions – Use full 24-hour structure
🔹 Theme-Adaptive Visuals
Clean, Contrast, and Minimal themes automatically adjust colors for both dark and light charts.
🔹 Customizable Opacity & Colors
Fine-tune visibility without cluttering your chart.
🎯 Who This Is For
Ideal for traders who use:
• Intraday price action
• Futures and index trading
• Forex day trading
• Crypto intraday trading
• Support & resistance strategies
• Liquidity and reaction-based setups
Works on any market where previous day structure influences intraday behavior.
💡 How Many Traders Use It
Common approaches include:
• Looking for reversal patterns inside reaction zones
• Managing trades near PDH/PDL instead of chasing breakouts
• Combining zones with volume, order flow, or candlestick signals
• Using the midpoint and PDC as bias confirmation levels
지표 및 전략
US30 AsianRange 1900-0000 LIMIT OCO (1pct risk) 120 fib 30/150asian sweep at the 120 fib, aiming for 150 pips long and short buy limits set, once one is hit for the day cancel the opposite limit straight away
Blockcircle Price Gaps (PG)I got tired of price gap indicators that dump every zone on the chart and leave you to figure out which ones actually matter. I have tried every single one imaginable. Therefore, I built this one to score each gap automatically based on how close it is, how it formed, and whether it aligns with the trend. Instead of cryptic numbers, it just tells you: Strong, Moderate, or Weak, plus how far away it is. You see what matters, skip what doesn't. Hopefully, you find it helpful!
If you have other ideas to improve it even further, please let me know, and I can integrate them.
WHAT MAKES IT ORIGINAL AND DIFFERENT
Standard gap indicators display every detected imbalance with identical visual treatment, leaving traders to manually assess which zones matter. This creates cluttered charts and analysis paralysis.
This BLOCKCIRCLE PRICE GAPS (PG) indicator solves that problem with a Relevance Engine that automatically scores each gap from 0 to 100 and translates scores into plain language: Strong, Moderate, or Weak. Each zone displays its strength rating and distance from the current price, so you instantly know which gaps deserve attention and how far the price must travel to reach them.
The scoring combines four factors that research shows correlate with zone effectiveness:
Proximity: Gaps closer to the current price score higher because nearby zones influence immediate price action more than distant ones.
Formation Volume: Gaps created during above-average volume suggest institutional activity rather than random price movement.
Impulse Strength: Gaps formed by strong moves (measured against ATR) indicate genuine supply/demand imbalance rather than noise.
Trend Alignment: Support gaps in uptrends and resistance gaps in downtrends receive bonus points for trading with momentum.
Visual intensity reflects strength automatically. Strong zones appear darker and more prominent. Weak zones fade into the background. You see what matters without decoding numbers.
HOW IT WORKS
Price Gaps form when aggressive buying or selling creates an imbalance, leaving unfilled space between candles. These zones often act as support (bullish gaps below price) or resistance (bearish gaps above price) when the price returns to them.
Detection uses the standard three-candle method: a bullish gap exists when the current low exceeds the high from two bars prior. A bearish gap exists when the current high falls below the low from two bars prior.
What makes this implementation different is continuous relevance tracking . Each bar, every gap receives an updated score based on current conditions . As the price moves away, the proximity scores decrease. As gaps age, time decay gradually reduces their overall relevance. When capacity limits are reached, the lowest-scoring gap is removed first, ensuring your chart always shows the most actionable zones.
Labels show practical information:
Strength rating (Strong, Moderate, or Weak)
Zone type (Support or Resistance)
Distance from current price with direction (+12% means above, -8% means below)
FEATURES
Relevance scoring with automatic strength classification
Plain-language labels showing strength and distance
Color intensity that reflects zone importance
Retest detection when price returns to unfilled gaps
Proximity filtering to hide distant zones
Age filtering to remove stale gaps
Size filtering for minimum and maximum gap thresholds
Relevance-based capacity management
Information panel with zone counts and trend context
Multiple label style options
HOW THE COMPONENTS WORK TOGETHER
The system operates as a filtering pipeline:
Size filters remove gaps that are too small (market noise) or too large (extreme events unlikely to fill).
The Relevance Engine scores qualifying gaps based on proximity, volume, impulse, and trend.
Gaps below the minimum score threshold are hidden.
Proximity and age filters remove distant or stale gaps.
When at capacity, the lowest-scoring gap is removed to make room for new detections.
This layered approach ensures only the most relevant gaps appear on your chart.
CONFIGURABLE SETTINGS
Display Settings control how many zones appear and how they are displayed.
Label Style lets you choose what information displays: Strength plus Distance (default), Strength Only, Distance Only, Score Only, or None.
Relevance Engine settings include the master toggle and minimum score threshold. The Scoring Weights section allows advanced users to adjust how much each factor contributes.
Filters control size thresholds, maximum distance from price, and maximum age in bars.
Retest Alerts notify you when the price returns to an unfilled gap with three sensitivity options.
Zone Behavior controls whether filled gaps are removed and what counts as a filled gap.
HOW TO USE
The default settings work well for most timeframes and markets. Strong zones (shown in brighter colors with yellow text) have multiple factors aligned and deserve the most attention. Moderate zones are worth watching. Weak zones provide context but may not produce reliable reactions.
For active trading, focus on Strong and Moderate zones within 10% of the current price. These are the most likely to influence near-term price action.
For swing trading, expand the Maximum Distance setting to see zones further from the price that may become relevant as trends develop.
When the Retest alert fires, the price is returning to an unfilled gap. Evaluate the zone strength, look for price reaction at the zone boundary, and consider whether the move aligns with the broader trend before trading.
The information panel shows:
Support: Count of bullish gaps (potential buying zones)
Resistance: Count of bearish gaps (potential selling zones)
Unfilled: Zones not yet touched by price
Avg Strength: Overall quality of visible zones
Trend: Current direction based on EMA alignment
LIMITATIONS
Relevance scoring is probabilistic, not predictive. A Strong gap is more likely to produce a reaction based on historical patterns, but any zone can fail.
The trend component uses EMA crossovers (20/50/200), which may lag in choppy markets.
Distance calculations update each bar. During volatile moves, labels may briefly show different values as price swings.
DEFAULTS
These are the defaults, but you would adjust and calibrate it to a specific asset, as needed:
Maximum Zones: 12
Label Style: Strength + Distance
Minimum Score: 20
Maximum Distance: 25%
Maximum Age: 300 bars
If you have any questions at all, please ask away!
EZ Range MACD + DASH - ELECTZA**EZ Range MACD + DASH – ELECTZA**
A streamlined MACD momentum indicator built to reduce false signals in choppy markets. It combines a classic **MACD + Signal + Histogram** display with an **ATR-based range detector** that identifies low-volatility compression zones. When the market is ranging, momentum is muted and the script prioritizes “WAIT” conditions to help you avoid noise. Clear **BUY/SELL arrows** print only when MACD crossovers occur outside of detected range conditions. The built-in **dashboard** (bottom-right) gives a quick at-a-glance read of the **Overall Market State** (Bullish / Bearish / Ranging) plus the current **trade recommendation** (Buy / Sell / Wait), making it easy to track momentum and market quality without clutter.
**Disclaimer:**
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading and investing involve **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, use proper risk management, and consider consulting a qualified financial professional. By using this script, you agree that you are solely responsible for any trading decisions and outcomes.
Bitterroot Trader RelVol vs SPYHelp understand specific stock momentum verses the market (SPY). This shows the relative volume at time and also the average trade range number.
Darvas Box + Infobox 52W High/LowThe script draws Darvasboxes and outputs trend arrows.
The script additionally contains the following values in an info box:
* the price of the absolute high within the last 52 weeks and its distance in days
* the price of the absolute low within the last 52 weeks and its increase in % to date
* the current course
Variable are:
-Darvas logic: strictly according to Darvas or more flexible, i.e. with more info boxes, but also with more false boxes
- the number of weeks
- the location of the info box (top right, middle right, bottom right)
- the font size of the info box
- the display of the current course
This script is for illustrative purposes only and does not make any trading recommendations.
Thanks to © danilogalisteu, who provided me with his v5 script the template for the more flexible version of the Darvas boxes
A Ordem MediasTrend indicator, to always trade in favor of the trend.
You improve your accuracy by trading in favor of the 200-period moving average, above for long positions and below the 200-period moving average for short positions. Always combine with other chart patterns.
Weekend Highs & Lows (BTC)Weekend highs and lows are generally taken, this indicator will help get stats for that
BTC - NMI: Network Metabolism IndexBTC - Network Metabolism Index (NMI) | RM
Concept & Background
The Network Metabolism Index (NMI) is a fundamental valuation model that treats Bitcoin as a biological organism. While price is the "face" of the asset, the NMI measures its "internal organs"—specifically its physical security and its social circulation.
Computational Logic: The Assembly Line
To arrive at the final NMI score, the indicator follows a rigorous four-step deterministic process:
• Step 1: Metric Selection: We ingest three high-fidelity data streams from Glassnode. Difficulty (Security), Active Addresses (Utility), and Market Cap (Price).
• Step 2: Fair Value Proxy (FVP) Computation: We calculate the network's intrinsic strength using a modified Metcalfe Law. We square the Active Addresses to account for network effect growth and multiply it by the Square Root of Difficulty to weight the value by physical security.
• Step 3: Log-Ratio Normalization: Because the FVP represents astronomical values of physical and social work, we calculate the Natural Logarithm of the Market Cap divided by the FVP . This places the data into a usable, though deep-negative, "dimensionless" territory.
• Step 4: Denoising & Banding: We apply a 14-day Least Squares Moving Average (LSMA) to the result to strip away daily volatility. Finally, we wrap the curve in 1.5 Standard Deviation bands to identify statistical "Fever" (Overvalued) and "Starvation" (Undervalued) zones.
The Y-Axis is measured in Nats (Natural Logarithmic Units). Important: Users should treat these units as dimensionless . Because the fundamental proxies for security and utility are so mathematically dominant, the resulting values reside in a negative logarithmic territory . The absolute numerical value is secondary to the morphology of the curve and its position relative to the dynamic Sigma bands.
Core Features / User Inputs
• LSMA Denoising: A linear regression filter to reveal structural trends.
• Dynamic Sigma Bands: 365-day rolling bands that adapt to Bitcoin's maturing market cycle.
• Regime Audit Dashboard: Real-time classification of the network state.
How to Read The Chart
• Metabolic Starvation (Blue Zone): Security and utility are significantly higher than price reflects. A generational value opportunity.
• Metabolic Fever (Red Zone): Price is over-extended relative to the network's biological reality.
• Neutral (Grey): Price and health are in a sustainable balance.
Data Feed Disclaimer
This indicator requires access to the Glassnode professional data feeds (Difficulty, Active Addresses, and Market Cap). Users without a valid subscription to these alternative data sets will not see the oscillator render. This script is intended for macro analysis; it is not financial advice.
General Disclaimer
This indicator is a mathematical model based on historical on-chain data. It is intended for educational purposes and macro analysis. On-chain metrics are lagging by nature and should be used in conjunction with a robust risk management strategy. This is not financial advice.
Tags
Rob Maths, Rob_Maths, robmaths, Bitcoin, OnChain, Glassnode, FundamentalAnalysis, MetcalfeLaw, Quant, Macro, Difficulty, ActiveAddresses, ValuationModel, NetworkMetabolism
PowerGaps - Multi-Timeframe Fair Value GapsPowerGaps — Multi‑Timeframe Fair Value Gap Engine
PowerGaps is a precision‑built, multi‑timeframe Fair Value Gap (FVG) engine designed for traders who rely on clean, reliable market structure signals without noise, repainting, or clutter.
It automatically detects and plots institutional FVGs from higher timeframes directly onto your current chart, giving you a clear view of premium/discount imbalances and liquidity inefficiencies that matter most.
What PowerGaps Does
• Scans four customizable timeframes (e.g., M5, M15, H1, H4) for valid bullish and bearish FVGs
• Projects those HTF gaps onto any lower timeframe chart
• Colors and labels each gap by timeframe for instant visual recognition
• Tracks each gap until it is mitigated by wick touch, then automatically closes and removes it
• Ensures no repainting, no duplicates, and no phantom gaps
• Maintains perfect alignment across timeframes using a robust, cross‑TF‑safe architecture
Why It’s Different
PowerGaps is engineered with a strict validation and mitigation system that prevents the common issues seen in many FVG indicators:
• No repeated stacking of the same gap
• No gaps disappearing when switching timeframes
• No false mitigation signals
• No stale or corrupted objects left behind
Every plotted gap is intentional, accurate, and actionable.
Ideal For
• ICT‑style traders
• Liquidity and imbalance‑based strategies
• HTF bias mapping
• Scalpers who rely on HTF inefficiencies
• Swing traders looking for clean continuation or reversal zones
Inputs & Customization
• Enable/disable each timeframe independently
• Choose custom colors for bullish and bearish gaps
• Full control over which timeframes you want projected onto your chart
High Breakout PRO Huy Hoang Trader
High Breakout PRO - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
SMC: Multi-TF Bias & HTF BOS with SessionsOverview
The HTF BOS (Session) - Precision Lines is a comprehensive trading tool designed for Smart Money Concepts (SMC) and price action traders. It identifies Higher Timeframe (HTF) Break of Structure (BOS) levels while filtering them based on specific trading sessions. Additionally, it features a built-in Bias Dashboard that tracks trend alignment across three different timeframes to help you stay on the right side of the market.
Key Features
1. Precision HTF BOS Tracking
Unlike standard indicators that only mark the breakout candle, this script uses high-precision pivot detection to identify the exact origin of a structural high or low.
Tam Yapışık Çizgiler (Precise Lines): The BOS lines are drawn exactly from the pivot point to the breakout point, providing a clean and professional look on your chart.
HTF Integration: You can track structure from a higher timeframe (e.g., 4H) while trading on a lower timeframe (e.g., 15m or 5m).
2. Session Filtering (Time Sensitivity)
Structural breaks are most reliable when they happen during high-volume periods.
The script includes a Session Filter (London & New York).
If enabled, the indicator will only plot BOS levels that occur during your specified trading hours, helping you avoid "fake-outs" or noise during low-liquidity periods (Asian session/After-hours).
3. Multi-Timeframe Bias Dashboard
Stay aware of the "Big Picture" without constantly switching charts. The dashboard monitors three custom timeframes (e.g., Daily, 4H, 1H) and determines if the structure is Bullish or Bearish.
Strong Buy/Sell Signals: When all three timeframes align, the status cell highlights as "BUY" or "SELL."
Wait Status: If timeframes are in conflict, the dashboard suggests "WAIT," encouraging disciplined trading.
How to Use
Define Your Bias: Set your three Bias Timeframes in the settings to match your higher-level strategy.
Set Your BOS TF: Choose the timeframe you want structural breaks to be calculated from (usually one or two steps above your entry chart).
Adjust Sensitivity: Use the "Pivot Sensitivity" setting to filter between minor and major structural points.
Confirm with Session: Enable the session filter to ensure you are only trading breaks that occur during the NY or London sessions.
Settings
Bias Dashboard Settings: Customize the TFs and pivot sensitivity for trend analysis.
BOS & Session Settings: Set your target HTF for drawings and define your trading window (NY Timezone supported).
Visual Settings: Full control over colors (Bullish/Bearish), table positioning, and text sizes.
Darvas 52 Weeks High-Low current priceThe script in an info box has the following values:
* the price of the absolute high within the last 52 weeks and its distance in days
* the price of the absolute low within the last 52 weeks and its increase in % to date
* the current course
Variable are:
- the number of weeks
- the location of the infobox
- the font size of the info box
- the display of the current course
This script is for illustrative purposes only and does not make any trading recommendations.
A+ ORB VWAP EMA Alerts//@version=5
indicator("A+ ORB VWAP EMA Alerts", overlay = true)
// ORB levels (set these from LuxAlgo each morning)
orbHigh = input.float(0.0, "ORB High", step = 0.1)
orbLow = input.float(0.0, "ORB Low", step = 0.1)
// EMAs and VWAP
emaFast = ta.ema(close, 9)
emaSlow = ta.ema(close, 21)
vwapVal = ta.vwap(hlc3)
// Conditions
longCond = (close > orbHigh) and (close > vwapVal) and (emaFast > emaSlow)
shortCond = (close < orbLow) and (close < vwapVal) and (emaFast < emaSlow)
// Alerts (single-line, plain ASCII)
alertcondition(longCond, "A+ LONG SETUP ORB VWAP EMA", "A+ LONG: ORB High accepted, above VWAP, EMA9 > EMA21 (5m close).")
alertcondition(shortCond, "A+ SHORT SETUP ORB VWAP EMA", "A+ SHORT: ORB Low accepted, below VWAP, EMA9 < EMA21 (5m close).")
TSM PCR Auto AlertsPCR Auto Alerts (Bullish · Neutral · Bearish)
🎯 Objective of the Script
This script is designed to:
Calculate the Put–Call Ratio (PCR)
Interpret market sentiment using predefined PCR zones
Automatically generate Bullish, Neutral, and Bearish alerts
Visually display the PCR trend and current market view
📊 What is PCR (Put–Call Ratio)?
PCR = Put Open Interest ÷ Call Open Interest
It reflects market participants’ expectations:
Lower PCR → More calls → Bullish bias
Higher PCR → More puts → Bearish bias
🔧 Inputs Used in the Script
Put Open Interest (Put OI)
Manually entered value
Call Open Interest (Call OI)
Manually entered value
These inputs make the script ideal for:
Learning & teaching
Strategy explanation
Posters & educational content
Custom Extreme Support & Resistance (ORB Framework)//@version=5
indicator("A+ ORB VWAP EMA Master Alerts", overlay=true)
// === USER INPUTS ===
orbHigh = input.float(na, "ORB High (from LuxAlgo)")
orbLow = input.float(na, "ORB Low (from LuxAlgo)")
emaFastLen = 9
emaSlowLen = 21
// === INDICATORS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
vwapVal = ta.vwap(hlc3)
// === CONDITIONS ===
// LONG
longCond =
close > orbHigh and
close > vwapVal and
emaFast > emaSlow
// SHORT
shortCond =
close < orbLow and
close < vwapVal and
emaFast < emaSlow
// === ALERTS ===
alertcondition(
longCond,
title="A+ LONG SETUP – ORB + VWAP + EMA",
message="A+ LONG SETUP CONFIRMED (5m close): ORB High accepted, price above VWAP, EMA 9 > EMA 21. Wait for pullback/continuation."
)
alertcondition(
shortCond,
title="A+ SHORT SETUP – ORB + VWAP + EMA",
message="A+ SHORT SETUP CONFIRMED (5m close): ORB Low accepted, price below VWAP, EMA 9 < EMA 21. Wait for rejection/continuation."
)
Volume Weighted Intra Bar LR KurtosisThis indicator analyzes market character by decomposing total
Excess Kurtosis ("Fat Tails") of a SINGLE BAR into four distinct,
interpretable components based on a Linear Regression model.
Key Features:
1. **Intra-Bar LR Kurtosis Decomposition:** For each bar on the chart,
the indicator analyzes the underlying price action on a smaller
timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression
line through the intra-bar data to decompose the 4th Moment:
- **Trend Kurtosis (Gold):** Peakedness of the regression line
itself. High values indicate the price path within the bar
moves in sudden jumps, steps, or gaps (discontinuous path).
- **Residual Kurtosis (Red):** Excess Kurtosis of the noise
around the regression line. Captures "Hidden Tail Risk" or
extreme outliers within the bar relative to the trend.
- **Within-Bar Kurtosis (Blue):** Fat tails derived from the
microstructure of individual intra-bar candles.
- **Interaction Variance (Dark Grey):** The comovement of variance
and mean deviations (volatility clustering relative to trend).
- **Interaction Skewness (Darker Grey):** The comovement of skewness
and mean deviations (asymmetry relative to trend).
2. **Visual Decomposition Logic:** Total Excess Kurtosis is the
primary metric displayed. Since statistical moments are additive,
this indicator calculates the *exact* Total Kurtosis and partitions
the columns based on the Law of Total Moments.
3. **Dual Display Modes:** The indicator offers two modes to
visualize this decomposition:
- **Absolute Mode:** Plots the *total* kurtosis as a
stacked column chart. Stacking logic groups components to
ensure visual clarity of the magnitude.
- **Relative Mode:** Plots the direct *contribution ratio*
(proportion) of each component relative to the total sum,
ideal for identifying the dominant driver (Trend vs. Noise).
4. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
transforms inputs into logarithmic space, analyzing the
kurtosis of *returns* rather than absolute prices.
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all regression and moment calculations,
emphasizing high-participation moves.
5. **Kurtosis Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (peaks/valleys) in
the *total* kurtosis line. (Note: This is only visible
in 'Absolute Mode').
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
6. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Analysis Lines:** The entire intra-bar analysis can be
run on a higher timeframe (using the `Timeframe` input),
with standard options to handle gaps (`Fill Gaps`) and
prevent repainting (`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
8. **Integrated Alerts:** Includes comprehensive alerts for:
- Kurtosis magnitude (High Positive / High Negative).
- Character changes (Trend Jumps vs. Noise Outliers).
- Total Kurtosis pivot (High/Low) detection.
**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 behavior is
normal and necessary for this type of analysis. Signals should only
be considered final **after the main chart bar has closed.**
---
**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.
Volume Weighted Intra Bar KurtosisThis indicator analyzes market sentiment by providing a detailed
view of Excess Kurtosis ("Fat Tails"). It uses data from a lower,
intra-bar timeframe to separate the total kurtosis of a single bar
into distinct, interpretable components.
Key Features:
1. **Intra-Bar Kurtosis Decomposition:** For each bar on the chart,
the indicator analyzes the underlying price action on a smaller
timeframe ('Intra-Bar Timeframe'). Unlike Variance, the Fourth
Central Moment (Kurtosis) decomposes into three parts:
- **Between-Bar Kurtosis (Gold):** Peakedness of the price
path *between* the intra-bar candles. High values indicate
that the macro movement happened in jumps or gaps rather
than a smooth progression.
- **Within-Bar Kurtosis (Blue):** Fat tails derived from the
microstructure (extreme wicks) *inside* the intra-bar candles.
- **Interaction Variance (Dark Grey):** The comovement of variance
and mean deviations (volatility clustering relative to trend).
- **Interaction Skewness (Darker Grey):** The comovement of skewness
and mean deviations (asymmetry relative to trend).
2. **Visual Decomposition Logic:** Total Excess Kurtosis is the
primary metric displayed. Since Kurtosis coefficients are not
linearly additive, this indicator calculates the *exact* Total
Kurtosis and partitions the columns based on the additive
Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`).
3. **Dual Display Modes:** The indicator offers two modes to
visualize this information:
- **Absolute Mode:** Plots the *total* kurtosis as a
stacked column chart, showing the *absolute magnitude* of
tail risk and the contribution of each component.
- **Relative Mode:** Plots the components as a 100% stacked
column chart (scaled from 0 to 1), focusing purely on the
*energy ratio* of the components.
4. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
calculates an **Exponential Regression Curve** (log-space),
making the analysis suitable for comparing assets with
different scales (e.g., BTC vs EURUSD).
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all mean and moment calculations.
5. **Kurtosis Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (peaks/valleys) in
the *total* kurtosis line. (Note: This is only visible
in 'Absolute Mode').
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
6. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Analysis Lines:** The entire intra-bar analysis can be
run on a higher timeframe (using the `Timeframe` input),
with standard options to handle gaps (`Fill Gaps`) and
prevent repainting (`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
8. **Integrated Alerts:** Includes alerts for:
- Kurtosis magnitude (High Positive / High Negative).
- Kurtosis character changes/emerging/fading.
- Total Kurtosis pivot (High/Low) detection.
**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 behavior is
normal and necessary for this type of analysis. Signals should only
be considered final **after the main chart bar has closed.**
---
**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.
Smart SafeZone Stops [MarkitTick]💡 This script represents a sophisticated evolution of volatility-based trailing stop methodologies. It is designed to assist traders in managing trend-following positions by dynamically adjusting stop-loss levels based on market noise, directional momentum, and volume flows. Unlike static trailing stops that move by a fixed percentage or simple ATR multiples, this tool calculates the "safe zone" by analyzing how far price has penetrated against the trend over a specific lookback period, offering a granular approach to risk management that adapts to changing market conditions.
✨ Originality and Utility
The primary utility of this indicator lies in its ability to filter out market noise while remaining tight enough to protect profits during strong trends. While the classic SafeZone concept (popularized by Dr. Alexander Elder) is effective, this script introduces several modern enhancements that increase its robustness:
● Dynamic ADX Integration Standard SafeZone stops use a fixed multiplier. This script integrates the Average Directional Index (ADX) to gauge trend strength. When the trend is strong, the stop tightens (Aggressive Multiplier) to lock in profits rapidly. When the trend is weak or choppy, the stop widens (Conservative Multiplier) to prevent premature shakeouts. ● Volume-Weighted Noise Price movement on low volume is often considered "noise," while high-volume movement signifies conviction. This script optionally weights the noise calculation by Relative Volume. A downward spike on low volume will affect the stop level less than a downward spike on high volume.
● 3-Day Smoothing Mechanism To prevent the stop line from becoming too jagged or reacting to single-bar anomalies, the script applies a 3-day smoothing algorithm. It utilizes the "worst-case" scenario of the last three calculated stop levels, ensuring the stop only moves when the trend structure genuinely shifts.
🔬 Methodology and Concepts
The underlying logic operates on a "Ratchet" mechanism, meaning the stop line can only move in the direction of the trade (up for longs, down for shorts) and never retraces until a trend reversal occurs.
● Directional Noise Calculation The script separates market noise into two components: Downside Penetration (for Longs): The distance the price dips below the previous bar's low. Upside Penetration (for Shorts): The distance the price spikes above the previous bar's high. The average of these penetrations is calculated over the Noise Lookback Period .
● The SafeZone Formula The raw stop level is derived as follows: Long Stop = Previous Low - (Average Downside Noise × Multiplier) Short Stop = Previous High + (Average Upside Noise × Multiplier)
● Adaptive Multiplier Logic If Dynamic ADX is enabled: If ADX > Strong Threshold: Use Aggressive Multiplier (e.g., 1.5x). If ADX < Weak Threshold: Use Conservative Multiplier (e.g., 3.5x). Otherwise: Use the Base Safety Coefficient.
● Exhaustion Detection The script calculates the distance between the current Close price and the Active Stop. If this distance exceeds a specific multiple of the ATR (Average True Range), it flags a "Mean Reversion" or "Exhaustion" warning, suggesting price has extended too far from equilibrium.
🎨 Visual Guide
The indicator plots distinct visual elements to guide decision-making without cluttering the chart excessively.
● Trailing Stop Lines Green Line (Solid): Represents the SafeZone Long Stop. This line appears below price during an uptrend. As long as price closes above this line, the bullish bias is intact. Red Line (Solid): Represents the SafeZone Short Stop. This line appears above price during a downtrend. A close above this line signals a potential short exit or reversal.
● Trend Signals Green Triangle (Below Bar): Marks the "Bull Start." This occurs when the price crosses above the Trend Filter EMA and the trend logic flips to bullish. Red Triangle (Above Bar): Marks the "Bear Start." Indicates the start of a downtrend sequence.
● Exhaustion Warnings Yellow Labels (⚠️): These appear when price has extended significantly away from the stop line (based on the ATR Exhaustion Multiplier). This is not an immediate sell signal but a warning that the trend may be overextended and a pullback is probable.
● MTF Consensus Cloud Background Color: If enabled, the chart background changes color to reflect the Higher Timeframe (HTF) trend. Green Background: Current trend matches HTF Uptrend. Red Background: Current trend matches HTF Downtrend. Gray Background: Trends are mismatched (Consolidation/Conflict).
● Quantitative Dashboard A table located in the top-right corner displays real-time statistics: Trend: Current state (BULLISH/BEARISH). Age: Number of bars since the trend began. Stop Price: Exact price level of the trailing stop. Risk %: The percentage distance from the current Close to the Stop. If this exceeds 3%, the text turns red to highlight elevated risk. Active Mult: The current multiplier being used (Dynamic or Fixed). ADX State: Shows if the trend is Strong, Weak, or Normal.
📖 How to Use
1. Entry Timing Wait for a Trend Switch signal (Triangle). For a long entry (Green Triangle), ensure the price is above the Trend Baseline (EMA). Ideally, look for confluence with the MTF Cloud (Green Background).
2. Position Management Once in a trade, use the Trailing Stop Line as your hard exit or invalidation point. Do not manually move the stop away from price; the script automatically "ratchets" the stop tighter as the trend progresses.
3. Taking Profits Use the "Exhaustion Warnings" (⚠️) as opportunities to scale out of positions. When price moves parabolically away from the stop line, the probability of a snap-back increases.
4. Managing Chop If the dashboard shows "ADX State: WEAK," expect the stop line to remain wider. This allows the asset "room to breathe" without stopping you out on random volatility.
⚙️ Inputs and Settings
The script is highly customizable to fit different asset classes (Crypto, Forex, Stocks).
● Trend Definitions Trend Filter (EMA Length): Determines the baseline trend bias (Default: 22). Price must be above this EMA to initiate a long calculation.
● Noise Calculation Noise Lookback Period: The number of bars used to calculate average penetration (Default: 10). Base Safety Coefficient: The standard multiplier applied to the noise average (Default: 2.5). Higher values = wider stops. Use Volume Weighting: Enables the volume-adjustment logic. Use 3-Day Smoothing: Recommended keeping this TRUE to avoid stop-hunts.
● Dynamic Multiplier (ADX) Enable Dynamic ADX: Toggles the adaptive multiplier. Strong/Weak Thresholds: The ADX levels that trigger aggressive or conservative multipliers.
● Multi-Timeframe Consensus Higher Timeframe: Select the TF for the cloud background (e.g., Daily or Weekly).
● Exhaustion Warning ATR Multiplier: Defines how far price must be from the stop to trigger a warning (Default: 3.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The "Smart SafeZone" indicator is grounded in the statistical analysis of market noise versus signal.
● Theory of Noise Penetration Conventional stops often use Standard Deviation (Bollinger Bands) or Average True Range (Keltner Channels/Chandelier Stops). While effective, these measures assume volatility is symmetrical. This script adopts the view that directional volatility matters more. In an uptrend, upside volatility is "good" signal, while downside volatility is "noise." By explicitly calculating the average downside penetration (Low - Low), the script isolates the specific counter-trend force acting on the asset. ● Volume-Weighted Price Analysis (VWPA) The inclusion of volume weighting draws upon Dow Theory principles, which state that volume must confirm the trend. Math: Penetration × (Volume / AverageVolume) This formula asserts that a price drop on low volume is statistically less significant than a drop on high volume. By dampening the impact of low-volume moves, the stop becomes more resistant to liquidity vacuums and algorithmic stop-hunts.
● Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX (Average Directional Index) adds a dimension of Trend Efficiency. High ADX values indicate a highly efficient trend with little retracement. Mathematically, this justifies a lower standard deviation (or noise multiplier) for the stop, as the probability of a deep retracement without a trend change is lower in high-momentum environments.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Volume Weighted LR KurtosisThis indicator analyzes market character by decomposing total
Excess Kurtosis ("Fat Tails") into four distinct, interpretable
components based on a Linear Regression model.
Key Features:
1. **Four-Component Kurtosis Decomposition:** The indicator
separates market tail risk based on the 'Estimate Bar Statistics' option.
It leverages the Law of Total Moments to provide an additive
breakdown of the 4th Statistical Moment:
- **Trend Kurtosis (Gold):** Peakedness of the regression line
itself. High values indicate the trend moves in sudden jumps,
steps, or gaps (discontinuous path).
- **Residual Kurtosis (Red):** Excess Kurtosis of the noise
around the regression line. This captures the "Hidden Tail Risk"
(extreme outliers relative to the trend).
- **Within-Bar Kurtosis (Blue):** Fat tails derived from the
microstructure of individual bars (requires 'Estimate Bar Statistics').
- **Interaction Variance (Dark Grey):** The comovement of variance
and mean deviations (volatility clustering relative to trend).
- **Interaction Skewness (Darker Grey):** The comovement of skewness
and mean deviations (asymmetry relative to trend).
2. **Visual Decomposition Logic:** Total Excess Kurtosis is the
primary metric displayed. Since statistical moments are additive,
this indicator calculates the *exact* Total Kurtosis and partitions
the area to visualize the contribution (weight) of each
structural source to the overall tail risk.
3. **Dual Display Modes:** The indicator offers two modes to
visualize this decomposition:
- **Absolute Mode:** Displays the *total* kurtosis as a
stacked area chart, allowing to see the magnitude of tail risk.
Stacking logic groups components to ensure visual clarity.
- **Relative Mode:** Displays the direct *contribution ratio*
(proportion) of each component relative to the total sum,
ideal for identifying the dominant driver of the risk.
4. **Calculation Options:**
- **Normalization:** An optional 'Normalize' setting
transforms inputs into logarithmic space, analyzing the
kurtosis of *returns* rather than absolute prices.
- **Volume Weighting:** An option (`Volume weighted`) applies
volume weighting to all regression and moment calculations,
emphasizing high-participation moves.
5. **Kurtosis Cycle Analysis:**
- **Pivot Detection:** Includes a built-in pivot detector
that identifies significant turning points (peaks/valleys) in
the *total* kurtosis line. This helps identify extremes in
market fragility or structural changes.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library.
6. **Note on Confirmation (Lag):** Pivot signals are confirmed
using a lookback method. A pivot is only plotted *after*
the `Pivot Right Bars` input has passed, which introduces
an inherent lag.
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Kurtosis Lines:** The kurtosis lines can be
calculated on a higher timeframe, with standard options
to handle gaps (`Fill Gaps`) and prevent repainting
(`Wait for...`).
- **Limitation:** The Pivot detection (`Calculate Pivots`) is
**disabled** if a Higher Timeframe (HTF) is selected.
8. **Integrated Alerts:** Includes comprehensive alerts for:
- Kurtosis magnitude (High Positive / High Negative).
- Kurtosis character changes/emerging/fading.
- Total Kurtosis pivot (High/Low) detection.
---
**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.
[ggarritano] MTF Zones + Context Table + POC.This indicator maps Premium, Equilibrium and Discount zones across up to 8 configurable timeframes, based on the most recent swing range (pivot high/low) and extends the zones forward in real time. It also includes a Context Table that summarizes, per timeframe:
Current Zone (Premium / Equilibrium / Discount + mid areas)
% Position inside the swing range (-100 to +100)
Context (Discount / Neutral / Premium) derived from the % value
Distance to the nearest pivot (Stop (pts))
Distance to the next relevant zone (Target (pts))
Additionally, the script can plot:
Previous period levels: PDH/PDL, PWH/PWL, PMH/PML
Pivot POC (Approx.) per timeframe (optional and independent from zone plotting)
⚠️ POC note: Pine Script does not provide true volume-at-price data. The “Pivot POC” here is an approximation built by accumulating candle volume into price bins inside the active pivot range (HLC3 mode is lighter; Spread mode is more profile-like but heavier).
Use the timeframe toggles to control what you plot and what appears in the table, and adjust Pivot Length + Neutral Band to fit your market and style.






















