S/R Zones
### What it does
**Smart S/R Zones** automatically detects and visualizes **support and resistance zones** by:
* Finding **confirmed swing highs/lows** (pivot points)
* **Clustering nearby pivots** into price zones
* Scoring each zone by **how many pivots** it contains (zone “strength”)
* Marking zones as **active** or **broken**, and stopping broken zones at the breakout bar
* Keeping the chart clean by removing pivots and zones outside a configurable lookback window
### Core logic (how it works)
1. **Pivot detection (swing points)**
* Uses `ta.pivothigh()` and `ta.pivotlow()` with:
* `leftBars` bars to the left
* `rightBars` bars to the right
* Important: pivots are **confirmed only after `rightBars` bars**, so signals are delayed by design.
2. **Pivot memory + lookback cleanup**
* Each pivot is stored with:
* price
* type: `1` = resistance pivot high, `-1` = support pivot low
* pivot bar index (pivot’s original bar)
* active/broken flag
* breakout bar index (when it got broken)
* Pivots older than `lookbackPeriod` bars are removed.
3. **Dynamic zone width**
* Computes the recent range:
* `priceRange = highest(high, lookbackPeriod) - lowest(low, lookbackPeriod)`
* Converts it to a maximum zone width:
* `maxZoneWidth = priceRange * zoneWidthPct / 100`
* This makes zones adapt to volatility/regime changes.
4. **Breakout detection (pivot invalidation)**
* A resistance pivot is marked broken when:
* `close > pivotPrice * (1 + breakoutPct/100)`
* A support pivot is marked broken when:
* `close < pivotPrice * (1 - breakoutPct/100)`
* Note: breakout is **close-based**, not intrabar wick-based.
5. **Clustering pivots into zones**
* Pivots are grouped into zones **only with the same type** (support with support, resistance with resistance).
* A pivot joins a zone if it is close to the zone midpoint:
* `abs(price - zoneMid) <= maxZoneWidth/2`
* Zone boundaries expand to include the new pivot, but only if:
* `(newHigh - newLow) <= maxZoneWidth`
* Zone strength increments by 1 for each pivot added.
6. **Active vs broken zones (visual state)**
* Active zones extend to the **current bar**.
* Broken zones stop at their **breakout bar** (the bar index stored when the pivot was broken).
* Strength includes all pivots clustered, including pivots that later broke (as long as they are still in lookback).
### Visuals (what you see)
* **Green zones**: active support
* **Red zones**: active resistance
* **More transparent zones**: broken zones (support/resistance that was invalidated by a close beyond the breakout threshold)
* Optional labels:
* `S2`, `S3`… for support strength
* `R2`, `R3`… for resistance strength
* The number is the **count of clustered pivots** in that zone.
### Inputs (how to tune it)
* **Pivot Left Bars / Pivot Right Bars**
* Higher values = fewer pivots, more “major” swings, stronger zones
* Lower values = more pivots, more zones, more noise
* **Lookback Period**
* Limits how far back pivots are considered and keeps the chart uncluttered
* **Zone Width %**
* Controls how wide zones can get (as a % of recent range)
* Higher = more clustering, fewer broader zones
* Lower = tighter zones, more zones
* **Minimum Zone Strength**
* Filters weak zones. Example: set to 3 to show only zones formed by 3+ pivots
* **Breakout Threshold %**
* Defines how far price must close beyond a level to mark it broken
* Higher = fewer “false break” breaks, slower invalidation
* Lower = more responsive, more break markings
* **Show Strength Labels**
* Toggles S/R strength markers.
### How to use it in trading workflows
* **Zone reaction**: Watch for rejection/acceptance when price revisits a strong zone (`S3+`, `R3+`).
* **Breakout context**: A zone turning “broken” indicates price closed meaningfully beyond it (by threshold).
* **Confluence**: Use with your own context (trend, volatility, session structure, volume tools). This script is strictly price-structure based.
Bands and Channels
EMA Envelope and deviationEMA Envelope with Deviation is a trend-following indicator that plots an Exponential Moving Average (EMA) with dynamic upper and lower bands based on a user-defined deviation. The bands can be calculated either as a fixed percentage distance from the EMA or using statistical standard deviation, allowing traders to visualize volatility and potential overbought or oversold zones. It is commonly used to identify breakout strength, pullback entries, and mean-reversion opportunities. The indicator is fully customizable, supports different price sources, and can optionally display crossover signals when price interacts with the envelope boundaries.
Bands and Channels Laboratory [DAFE]Bands and Channels Laboratory : The Ultimate Volatility & Envelope Engine
40+ Unique Algorithms. The Revolutionary MTF Horizon Display. Smart Kill Zones & Pattern Recognition. This is not just a band indicator; it is the definitive toolkit for mastering market volatility.
█ PHILOSOPHY: BEYOND THE BAND, INTO THE LABORATORY
Standard band indicators like Bollinger Bands or Keltner Channels are built on a simple, powerful idea: price tends to revert to a mean, and its deviation from that mean is a measure of volatility. However, their core calculations are primitive. A simple moving average for the basis and a simple standard deviation for the width are blunt instruments in a market that demands surgical precision and adaptability.
The Bands and Channels Laboratory was not created to be another band indicator. It was engineered to be the final word on volatility and envelope analysis. This is not just an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a volatility system that is perfectly synchronized with the unique physics of your market.
We have deconstructed the very concept of a "band," separating it into its three core components— The Basis (Center Line) , The Deviation (Width) , and The Band Type (Envelope Logic) —and rebuilt each one with a library of dozens of advanced algorithms. This modular approach provides an almost infinite number of unique combinations, allowing you to construct a tool that is truly your own.
█ WHAT MAKES THIS THE "ULTIMATE" LABORATORY? THE CORE INNOVATIONS
This tool stands in a class of its own, offering a suite of proprietary features that collectively create an unparalleled analytical experience.
The 40+ Algorithm Core (Modular Engine): This is the heart of the Laboratory. You have independent control over the mathematical engine for each part of the band:
22 Basis Algorithms: Choose anything from a classic SMA to a zero-lag Hull MA, an adaptive KAMA, or a proprietary DAFE engine for your center line.
16 Deviation Algorithms: Move beyond simple standard deviation. Use statistically robust measures like Parkinson Volatility, advanced concepts like the Ulcer Index, or proprietary DAFE engines like "DAFE Dark Matter" to calculate your band width.
14 Band Types: Select the fundamental logic, from Bollinger and Keltner to unique DAFE models like "DAFE Quantum Bands."
The MTF Horizon Display: A revolutionary leap in data visualization. The Horizon projects up to three "holographic" displays of higher-timeframe band metrics (like Bandwidth % or Squeeze State) directly onto your main price chart. You can now see the "Macro Volatility" of the 1-Hour, 4-Hour, and Daily charts without ever leaving your 5-minute screen.
The Smart Kill Zone Engine: The indicator automatically identifies, plots, and tracks high-probability reversal zones. These are not based on simple price pivots. They are generated by identifying price levels where price interacted with the bands on high volume and with significant momentum, marking a true, institutionally defended level.
The Pattern Recognition Engine: The Laboratory isn't just reactive; it's proactive. It automatically detects and labels critical band patterns, including multiple types of Squeezes (Coiling, Compression), strong Walking Bands trends, and subtle Band Divergences that often precede major reversals.
The Visualization Core: Data should be intuitive and beautiful. Choose from 11 distinct, animated, and theme-aware rendering modes . From the glowing "Quantum Field" and flowing "Plasma Storm" to the abstract "Neural Network," you can transform the simple band into interactive data art.
█ A GUIDED TOUR OF THE ALGORITHMIC CORE
This is your library of mathematical DNA. Understanding your tools is the first step to mastery.
THE ENGINE FAMILIES
The Basis Algorithms (Center Line): You have over 22 choices. Replace the lagging SMA with a Hull MA for zero lag, a KAMA for adaptivity, or the DAFE Tensor Cloud for a 4D average of OHLC data. Your center line is now as intelligent as you want it to be.
The Deviation Algorithms (Band Width): You have over 16 choices. Go beyond simple standard deviation. Use advanced statistical measures like Garman-Klass or Yang-Zhang for a more efficient estimate of volatility. Or, deploy proprietary DAFE engines like DAFE Entropy , which widens the bands in chaotic markets, or DAFE Elastic , which resists extreme expansion.
The Band Types: Choose from 14 fundamental logics, including classics like Bollinger Bands, Keltner Channels , and Donchian Channels , as well as proprietary DAFE models like the DAFE Quantum Bands , which use a noise-canceling step function for their width.
█ ACTIONABLE INTELLIGENCE: THE SIGNAL & PATTERN ENGINES
The Laboratory transforms bands from a simple contextual tool into a complete trading framework.
The Signal Engine: You are not limited to one strategy. Choose from eight distinct signal modes, from classic Mean Reversion on a band touch to aggressive Squeeze Breakouts or robust Trend Following signals. The "Smart Composite" mode uses a multi-factor scoring system to identify only the highest quality setups.
The Pattern Engine: This is your early warning system.
Squeeze Classification: It doesn't just tell you there's a squeeze; it classifies its type ("Coiling," "Compression"), giving you insight into the potential energy being stored.
Walking the Bands: It automatically detects when price is "walking" or "riding" the upper or lower band—the signature of an extremely powerful trend.
Band Divergence: It alerts you to subtle but powerful divergences between the trend of the price and the trend of the bandwidth, often signaling trend exhaustion before it's visible in price action.
█ THE MASTER DASHBOARD: YOUR "AT-A-GLANCE" COMMAND CENTER
The professional-grade dashboard provides a comprehensive, real-time summary of the entire volatility system's state.
Position & State: Instantly see the price's position relative to the bands (%B), the current Bandwidth percentage, and the overall Volatility Regime (HIGH, LOW, NORMAL).
Pattern Readout: Get a real-time display of the currently detected band pattern (e.g., "SQUEEZE: COILING," "WALKING UPPER").
Signal Status: Confirms the most recent signal generated by your chosen signal mode and displays its calculated "Strength."
Optimizer Data: When enabled, shows the backtest results of your current settings, including Win Rate, Profit Factor, and a proprietary Robustness Score.
█ DEVELOPMENT PHILOSOPHY
Bands Laboratory Ultra was born from a fascination with the physics of the market: the constant ebb and flow between equilibrium and chaos, compression and expansion. We believe that volatility is not just a risk metric; it is the very energy that drives all market movement. This tool was designed for the serious trader who seeks to understand and harness that energy. It is for the analyst who wants to deconstruct, test, and build a volatility tool that is a perfect extension of their own mind.
This Laboratory is designed to help you be wrong less often by providing a crystal-clear, multi-dimensional view of market volatility, allowing you to filter out low-probability trades and act with precision when the odds are stacked in your favor.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides a sophisticated volatility and signal framework. It must be integrated into a complete trading plan that includes your own analysis and risk management.
TEST, DON'T GUESS: The power of this tool is its adaptability. Use the built-in Optimizer Engine to rigorously test different algorithm combinations and settings on your chosen asset and timeframe.
START WITH A ROBUST BASE: A classic "Bollinger Bands" type with a "Hull MA" basis and "Standard Deviation" is an excellent, low-lag starting point. From there, begin experimenting with more advanced deviation methods or basis algorithms.
USE CONFLUENCE: The highest probability signals come from confluence. A "Squeeze Breakout" buy signal that is confirmed by high volume, a bullish ADX, and alignment with the MTF Horizon is an A++ setup.
"In the business of trading, the winner is not the person who is never wrong, but the person who is wrong the least."
— William Eckhardt, Market Wizard
Taking you to school. - Dskyz, Trade with Bands. Trade with Channels. Trade with Bands and Channels Laboratory
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
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
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
Vishall Heikin Ashi ForceVishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Kinetic Regression VectorKinetic Regression Vector (KRV) is a non-repainting direction and compression indicator designed for one job: help you avoid low-quality markets and catch high-quality expansion moves when the odds improve.
Most “prediction” tools either repaint, lag, or pretend they can call exact future prices. KRV doesn’t do that. Instead, it focuses on what actually improves trading outcomes: regime quality, directional bias, and compression-to-expansion timing — all shown visually and locked on closed candles.
What goes into it (what it’s built from)
KRV fits a smooth model to the last N bars of price action and projects that structure forward as a “vector tunnel.”
It uses three core ideas:
Weighted Least Squares (WLS) regression
Recent candles matter more than older ones. That means the model reacts faster when conditions change (important for sector shifts and fast ETF rotations), without using lagging moving averages.
Quality gating with R²
The indicator measures whether the market has been clean and structured recently. If structure is weak (chop/noise), KRV effectively turns itself “off” so you’re not trading randomness.
Model-based uncertainty bands (SEE) with a volatility fallback
Instead of sizing the tunnel only by volatility, KRV can size it by how consistent the model has been. When the model is unreliable, the tunnel widens. When it’s reliable, the tunnel tightens. If you prefer classic behavior, ATR-based band sizing is available as a fallback.
What makes it different (why it stands out)
KRV stands out because it combines features that are usually not together in one tool:
Adaptive, model-driven tunnel width (based on model error when SEE is enabled), instead of a fixed volatility channel that can look “confident” even in messy regimes.
Directional bias that is not a moving-average lag (it’s based on the fitted structure’s slope).
A compression trigger that is self-relative (pinch compares current band width to its own historical baseline, not an arbitrary threshold).
Strict non-repaint design (signals are computed from closed candles so the chart doesn’t lie after the fact).
Forward visualization (the tunnel projects into the future as a reference map, with uncertainty naturally increasing forward).
What you see on the chart
Vector Tunnel: the projected path and the expected noise range around it.
Color: bullish or bearish bias based on the current slope of the model.
Pinch: compression detected (band width unusually tight versus its baseline).
Bull/Bear Bullets: confirmed pinch signals aligned with directional bias.
Target Marker: a forward reference point based on the current structure (not a guarantee, but a useful reference level).
How to use it (simple, repeatable)
Use it as a three-step decision tool:
Gate (participate or stand down):
If the model is not “on” (quality is weak), treat it as a “stay out” signal. This is the most important feature for avoiding bad trades.
Direction (bias):
When the model is on, follow the bias. Bull bias means your edge is on longs. Bear bias means you avoid longs (or only take bearish setups if you trade that way).
Pinch + confirmation (timing):
A pinch means pressure is building. The bullet marks “compression + bias.” For best results, act after you see expansion confirmation (breakout candle / range expansion / level break) rather than treating the bullet as a blind entry.
Best features (why traders keep it)
Non-repainting signals locked to closed bars
Clear “stay out” logic during chop
Direction bias that responds faster than classic lagging tools
Compression detection designed to highlight expansion windows
Forward tunnel for planning risk, entries, and exits visually
Best markets and timeframes
KRV performs best on liquid ETFs and liquid large-cap stocks, and on sector themes like energy where regime shifts matter.
Recommended timeframes:
4H: best for timing entries and avoiding noise
Daily: best for swing direction and higher-quality setups
Weekly: best for big-picture regime filtering (stay out vs participate)
Monthly can be used for macro regime, but not for timing.
What to expect (honest expectations)
KRV is not a guaranteed predictor of exact prices. Its edge comes from:
filtering out weak/noisy regimes,
identifying compression that often precedes expansion,
and aligning that setup with a directional bias,
without repainting.
VWMA 200 (HTF) + Fibonacci BandsVWMA 200 (HTF) + Fibonacci Bands + VWAP Trend Dashboard
This indicator combines a Higher Timeframe VWMA (default: 200) with volatility bands and Fibonacci-based internal levels, plus anchored VWAPs (Daily / Weekly / Monthly) and an optional trend dashboard table.
It was designed to help you quickly spot:
where price is relative to a major HTF VWMA mean
whether price is trading in normal / extreme zones
how price is positioned versus session/period VWAPs
a simple “at-a-glance” trend bias across multiple anchors
What’s included
1) VWMA 200 (HTF)
VWMA is calculated on a locked timeframe (HTF) using request.security.
Default source is HLC3, but you can change the source.
2) Volatility bands + Fibonacci levels
The outer bands are based on a scaled standard deviation (mult * stdev) around the HTF VWMA.
Internal bands use Fibonacci ratios:
11.8% / 23.6% / 38.2% / 50% / 61.8% / 76.4% / 88.6% / 100%
Clean labels on the right side show each level as a percentage.
3) Extreme candle highlighting
Candles can be highlighted when the close is beyond the 76.4% band (upper or lower).
Helps identify potential stretched conditions / breakout zones.
4) Anchored VWAPs
Optional Daily / Weekly / Monthly VWAP (anchored by period change).
Optional VWAP labels on the right side (toggle separately).
5) Trend Dashboard Table
Optional table showing Bullish / Bearish / Neutral for:
VWAP D, VWAP W, VWAP M, and VWMA HTF
Displays distance from each reference in points (price units).
Includes a Confluence row:
Bullish if price is above all references
Bearish if price is below all references
Mixed otherwise
Table position can be customized (Top Right / Top Left / Bottom Right / Bottom Left).
How to use (quick guide)
Mean reversion / structure: Use the HTF VWMA as the central “mean” reference.
Zones: Fibonacci bands show progressively stronger deviation zones from the mean.
Extremes: Candle coloring beyond 76.4% can highlight stretched price action.
Trend bias: The dashboard helps confirm whether price is aligned above or below key anchors (VWAPs + VWMA HTF).
Confluence: When multiple anchors agree, trend conviction tends to be higher.
Notes / Disclaimer
This tool is intended for context and decision support, not as a standalone strategy.
VWAP behavior may differ across markets/sessions depending on symbol and exchange rules.
Always combine with your own risk management and confirmation tools.
GridMap PRO by TradeAkademiGridMap PRO – Structural Price Mapping Framework
GridMap PRO is a price-mapping framework designed to visualize repeatable price reaction zones, based on the observation that price tends to evolve within specific percentage-based bands over time.
Despite its name, GridMap PRO is not a traditional grid trading indicator; it does not generate signals, predict direction, or provide automated trade execution. Its purpose is to segment price into logical and structurally consistent zones, offering a map that supports the decision-making process rather than replacing it.
This framework is not built on randomly drawn support and resistance levels, but on long-term observations, reverse-engineering studies, and the analysis of recurring price behavior across different market conditions.
Core Concept: Percentage-Based Scaling and Structural Bands
At the core of GridMap PRO lies a percentage-based scaling model centered around a 33% expansion ratio.
This ratio was not selected as a theoretical or mathematical constant. Instead, it emerged empirically through extensive analysis across multiple asset classes (including cryptocurrencies and traditional market instruments), by examining the percentage moves from significant price lows to areas where major price reactions frequently occurred.
Long-term observations have highlighted the following patterns:
In many upward price movements originating from a low, the first major price reaction often occurs within the 30–35% range
The midpoint of this range, 33%, has shown a recurring tendency to produce meaningful price reactions
Similar behavior can be observed not only when projecting from local lows, but also when applying the same ratio from the asset’s historical low
These findings suggest that the 33% ratio may reflect an aspect of price’s intrinsic scaling behavior, rather than representing a singular or “special” level.
Why the Historical Low (All-Time / Structural Low)?
GridMap PRO does not rely on dynamic or constantly shifting reference points when performing its calculations. Instead, it uses the historical lowest price as the most objective and indisputable anchor point available.
This design choice is intentional:
Dynamic lows:
introduce visual noise
require frequent redrawing of levels
reduce long-term structural consistency
The historical low:
is singular and fixed
does not repaint
preserves long-term perspective
By anchoring calculations to this structural low, GridMap PRO prioritizes stability and consistency over attempting to identify the “perfect” level at every moment. The goal is not precision through constant adjustment, but a coherent and durable price map.
Calculation Logic
The historical lowest price is used as the reference point
From this level, price levels are projected upward using a 33% multiplicative expansion
The resulting levels form long-term structural reference zones
Calculations are logarithmic, preserving the proportional nature of price scaling
Unlike traditional horizontal support and resistance tools, this approach allows price to expand while maintaining consistent relative distances as it grows.
Map Resolution: Long Term & Short Term
GridMap PRO offers two map resolution options, both derived from the same underlying structure and calculations.
Long Term
Displays only the primary 33% levels
Produces wider, more spaced structural bands
Suitable for macro structure analysis, swing trading, and position trading
Provides a clean and simplified view in high-volatility environments
Short Term
Retains the same primary levels
Adds logarithmic sub-levels between them
Produces denser and more precise reaction zones
Suitable for intraday analysis, short-term trade planning, and micro-structure evaluation
The underlying calculations remain unchanged; only the visual resolution and level density differ.
Visual Context & Supporting Tools
GridMap PRO also provides several optional visual tools that are not included in the core level calculations and are intended purely for visual support. These elements are designed to help interpret the price map more clearly and to provide additional contextual awareness.
The available visual components may include:
Moving Averages (EMA)
Used to provide contextual insight into the general price direction. They do not generate any entry or exit signals.
RSI Overbought / Oversold Zones
Displayed solely as background shading based on RSI values from the current timeframe and, optionally, from higher timeframes (e.g., 4H).
RSI Divergence Zones
Visual markers used to highlight potential momentum discrepancies, incorporating filters to limit repetitive signals.
None of these visual elements affect GridMap PRO’s level calculations, nor are they designed to serve as standalone trading signals. All visual settings are optional and can be enabled or disabled by the user.
What GridMap PRO Does – and Does Not Do
What It Does
Segments price into meaningful structural zones
Visualizes areas where price reactions are statistically more likely to occur
Provides reference regions for limit orders, grid-based approaches, or DCA planning
Helps identify whether price is trading within an active zone or moving through low-interaction space
What It Does Not Do
Generate long or short trade signals
Predict future price direction
Provide standalone buy or sell decisions
Offer any form of performance or outcome guarantee
GridMap PRO is not a signal generator, but a decision-support map.
Relationship to DCA and Grid Approaches
GridMap PRO is not a grid or DCA strategy by itself. However, when price fails to react at a given level, the next calculated percentage band naturally becomes a potential area of interest, offering a logical framework for DCA or layered position management.
In this context, GridMap PRO is particularly suitable for traders who favor process-driven and structured position management, rather than relying on single-point entries.
Final Note
Although the levels displayed by GridMap PRO have historically produced meaningful price reactions across many markets, no level can guarantee future price behavior. Market conditions, volatility, liquidity, and news flow should always be taken into account.
This tool is not designed to suggest that “price will definitely reverse here,” but rather that “price may pause, struggle, or change direction in this area.”
Because each market exhibits its own unique dynamics, the relevance of individual levels may vary by asset. Users are encouraged to validate all levels through their own historical observation and analysis.
Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects.
Indicator Modes
Bollinger-Style RMSD Bands
This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is:
Upper Band = Moving Average + (RMSD × Multiplier)
Lower Band = Moving Average − (RMSD × Multiplier)
The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts.
For-Loop Momentum Scoring
This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes:
If the current value is greater than past values, it adds to the score.
If it is lower, it subtracts from the score.
This produces a net momentum score used to determine bullish or bearish dominance.
RMSD Weighted Source = (Price × RMSD) / RMSD
Score = Sum over loop: (src > src ) ? +1 : -1
Combined Signal
This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds.
Signal Interpretation
In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands:
A long signal occurs when price crosses above the upper RMSD band
A short signal occurs when price crosses below the lower RMSD band
No signal is produced when price remains between bands
These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
SMA Envelope 21Envelope with a simple moving average and channels based on a percentage, all editable from the panel.
Core IC 2.0
## 📌 NIFTY Weekly Option Seller — Core Regime & Risk Framework
This indicator is designed for **systematic weekly option selling on NIFTY**, focused on **Iron Condors (IC), Put Credit Spreads (PCS), and Call Credit Spreads (CCS)**.
It is **not a scalping tool** and **not a signal generator**.
Instead, it provides a **structured decision framework** to help option sellers decide:
* *What structure to deploy* (IC / PCS / CCS)
* *How aggressive to be* (position size & distance)
* *When to adjust* (defend / harvest / regime change)
---
## 🔍 What the Indicator Does
### 1️⃣ Market Regime Detection
The script continuously evaluates the market and classifies it into one of three regimes:
* **IC (Range / Mixed)** – neutral, mean-reverting conditions
* **PCS (Trend Up)** – bullish trend continuation
* **CCS (Trend Down)** – bearish trend continuation
Regime selection is based on:
* EMA structure
* ADX (trend strength)
* VWAP positioning
* Higher timeframe (daily) trend alignment
---
### 2️⃣ Independent Conviction Scores
The indicator computes **three independent scores (0–5)**:
```
IC / PCS / CCS
```
These scores represent **conviction strength**, not trade signals.
* Higher score = stronger suitability for that structure
* All three scores are always visible for transparency
Only **one active score** (based on the current regime) is used for:
* Position sizing
* Strike distance suggestions
* Risk management logic
---
### 3️⃣ Risk-First Position Guidance
Based on the active score, the indicator suggests:
* **Position Size** (100% / 50% / 25%)
* **Short strike distance** (ATR-based, dynamic)
* **Defend / Harvest conditions**
* **Regime change alerts**
This helps traders remain **consistent and disciplined**, especially during volatile weeks.
---
### 4️⃣ Visual Decision Panel
A compact panel displays all key information at a glance:
* Regime (IC / PCS / CCS)
* ATR & ADX
* Suggested size
* Suggested short distance
* IC / PCS / CCS scores
* Key reference levels (H3 / L3, VWAP)
No guesswork, no over-trading.
---
## 🕒 Recommended Usage
* **Best timeframe:** 1H or 4H
* **Ideal style:** End-of-day or limited-check traders
* **Designed for:** Weekly option sellers (not intraday scalpers)
Adjustments are intended to be made **at fixed checkpoints**, not every candle.
---
## ⚠️ Important Notes
* This is **not financial advice**
* The indicator does **not place trades**
* Works best when combined with:
* Defined stop-loss rules
* Fixed risk-reward discipline
* Proper position sizing
---
## 🎯 Who This Is For
✔ Rule-based option sellers
✔ Traders focused on consistency over excitement
✔ Professionals who value structure and risk control
❌ Not for discretionary scalpers
❌ Not for beginners without options knowledge
ES SPX Pullback Engine (v1)this script is intended to provide clear long or short pullback entries, while /ES is leading the index
Gold TBS Support/Resistance Zones🔶 Gold TBS Support & Resistance Zones
Gold TBS Support & Resistance Zones is a manual price-zone based indicator designed to help traders clearly identify high-probability support and resistance areas on the chart.
It is especially optimized for Gold (XAUUSD) and performs best on the 15-minute timeframe.
This tool focuses on clarity, structure, and discipline, allowing traders to align entries, exits, and risk management around well-defined price zones.
📌 Key Features
✅ Up to 30 customizable support & resistance zones
✅ Zones automatically extend across the chart for long-term reference
✅ Dynamic color response based on current price location
✅ Clean and minimal visual design
✅ Works smoothly without repainting
✅ Fully manual control over zone levels
⏱ Best Timeframe
Recommended: 15-Minute (M15)
Can also be used on 3m / 5m for entries after bias confirmation from 15m
Higher timeframes can be used for positional reference
🟩🟥 How Zones Work
Green shading → Price is trading above the zone (potential support)
Red shading → Price is trading below the zone (potential resistance)
Neutral when price is inside the zone
These zones act as:
Reaction areas
Entry confirmation zones
Target and stop-loss reference points
🛠 How to Use (Simple Workflow)
Mark Key Levels
Update zone High & Low values using the input panel
Use important swing highs/lows, weekly levels, or session ranges
Directional Bias
Trade buy setups near support zones
Trade sell setups near resistance zones
Avoid trades in the middle of zones
Entry Confirmation
Use your preferred entry confirmation:
Candle close
Price rejection
Nagarjuna indicator
Risk Management
Place stop-loss beyond the zone
Targets can be next zone above or below
⚙️ Inputs & Customization
🔹 Enable / disable individual zones
🔹 Update zone prices manually anytime
🔹 Show or hide all zones instantly
🔹 Control border visibility and transparency
🔹 Separate fill transparency for support and resistance
This makes the indicator future-proof, as levels can be updated whenever market structure changes.
🎯 Best Use Case
Intraday trading on Gold
Structure-based trading
Traders who prefer clear levels over lagging indicators
Works well with trend-following or pullback strategies
⚠️ Important Notes
This indicator does not give buy/sell signals
It is designed to support decision-making, not replace strategy
Always combine with proper risk management
🧠 Trading Philosophy
“Price respects structure.
Discipline comes from knowing where not to trade.”
KELTNER BREAKOUT STRATEGY FOR CRYPTO ASSETS 1. Philosophy: The "Volatility Breakout"
The core philosophy is that **momentum precedes price**. By waiting for a break above the Keltner Channel, you aren't just betting that the price will go up; you are betting that the price has enough energy (volatility) to move outside its standard deviation.
Asset Class Suitability: This strategy is specifically designed for **Cryptocurrencies**. Because Crypto often moves in parabolic cycles with high volatility, it can sustain the "overextended" moves required to stay outside the Keltner Channels.
Why not FX or Stocks? Traditional markets like Forex are typically mean-reverting, and Stocks often have "gap" risks or lower intraday volatility. In those markets, hitting the upper KC band often signals exhaustion. In Crypto, it’s often the signal that the "real" move is starting.
The "Let Winners Run" Mantra: No fixed Take Profit (TP) allows you to capture "fat-tail" returns—those rare, massive trends that make up the bulk of a trend-follower's profits.
2. Background: The Components
*Keltner Channels: Uses Average True Range (ATR) rather than standard deviation. This makes the bands more representative of actual price action and volatility gaps common in crypto.
The 100 MA Anchor: The 100-period Simple Moving Average acts as the "line in the sand." It filters out noise and provides a trailing exit that only triggers when the macro trend has officially shifted.
3. Trading Cheat Sheet (Copy-Paste Ready)
Market Environment
Asset Focus: Crypto Only (High Volatility assets).
Trend Filter: Price must be outside the KC 100 bands to confirm a macro trend.
Long Setup (Buy)
Macro Requirement: Price must be trading ABOVE the KC 100 Upper Band.
Entry Trigger: Price crosses ABOVE the KC 20 Upper Band.
Mandatory Exit: Price closes BELOW the MA 100.
Short Setup (Sell)
Macro Requirement: Price must be trading BELOW the KC 100 Lower Band.
Entry Trigger: Price crosses BELOW the KC 20 Lower Band.
Mandatory Exit: Price closes ABOVE the MA 100.
Risk Management
Take Profit: None (Trend-following approach).
Stop Loss: Trailing via the MA 100.
Hieu gold m2 1688This indicator compares global gold price dynamics with global M2 liquidity.
The M2 aggregate is constructed from four major economies the United States, China, the Eurozone, and Japan which together account for roughly 80 percent of global GDP and the vast majority of global liquidity creation.
By comparing gold with this core M2 proxy, the indicator highlights how changes in global liquidity influence long term gold valuation and macro cycles.
It is designed for macro analysis rather than short term trading and focuses on trend and regime shifts in monetary conditions.
[COG] NautilusOverview
This indicator combines multiple technical analysis tools to identify high-probability entry points in trending markets. It uses moving average crossovers for trend direction, Bollinger Bands for mean reversion opportunities, and optional filters to reduce false signals and avoid choppy market conditions.
What Makes This Indicator Unique
Heiken Ashi Toggle:
All calculations can be performed on either regular or Heiken Ashi candles with a single click
Multi-Layer Filtering System: Four independent filters work together to improve signal quality
First Entry Detection: Automatically identifies and labels the first signal after a trend change
Anti-Overtrading Protection: Built-in cooldown mechanism prevents signal spam
Core Components
1. Trend Detection (EMA/SMA Crossover)
The indicator uses a 15-period EMA and 50-period SMA to determine market direction. Buy signals only occur when EMA > SMA, and sell signals only when EMA < SMA.
// Trend Detection
bullishTrend = ema15 > sma50
bearishTrend = ema15 < sma50
2. Bollinger Bands Mean Reversion
Entry signals trigger when price touches or penetrates the Bollinger Bands, indicating potential reversal or pullback opportunities within the established trend.
//Bollinger Band Touch Detection
lowerBandTouch = selectedLow <= bbLower
upperBandTouch = selectedHigh >= bbUpper
// Base Entry Conditions
baseBuySignal = bullishTrend and lowerBandTouch and bullishClose
baseSellSignal = bearishTrend and upperBandTouch and bearishClose
3. Candle Confirmation
Signals require a bullish candle close (close > open) for buy signals and bearish candle close (close < open) for sell signals, ensuring momentum alignment.
// Candle Close Type
bullishClose = selectedClose > selectedOpen
bearishClose = selectedClose < selectedOpen
Optional Filters (All Toggleable)
Filter 1: StochRSI Momentum
Ensures entries occur during oversold/overbought conditions. Buy signals require StochRSI < 20, sell signals require StochRSI > 80.
// StochRSI Calculation
rsi = ta.rsi(stochRSISource, rsiLength)
stochRSI_K = ta.sma(ta.stoch(rsi, rsi, rsi, stochRSILength), stochKSmooth)
// Filter Conditions
stochRSIOversoldCondition = stochRSI_K < stochRSIOversold
stochRSIOverboughtCondition = stochRSI_K > stochRSIOverbought
Filter 2: MA Separation (Anti-Chop)
Blocks signals when moving averages are too close together, indicating sideways/choppy market conditions. Default threshold is 1% separation.
// Calculate percentage separation between EMA and SMA
maSeparationPct = (math.abs(ema15 - sma50) / sma50) * 100
// MA separation filter condition
maSeparationValid = maSeparationPct >= maSeparationThreshold
Why this matters: When the 15 EMA and 50 SMA are very close (< 1% apart), the market is typically consolidating. Signals in these conditions have lower win rates.
Filter 3: Cooldown Period
Prevents over-trading by blocking new signals for a specified number of bars (default: 10) after a signal occurs. Buy and sell cooldowns are tracked separately.
// Variables to track the bar index of the last signal
var int lastBuySignalBar = na
var int lastSellSignalBar = na
// Calculate bars since last signal
barsSinceLastBuy = na(lastBuySignalBar) ? 999999 : bar_index - lastBuySignalBar
// Cooldown filter condition
buyCooldownValid = barsSinceLastBuy >= cooldownBars
// Update tracking when signal fires
if buySignal
lastBuySignalBar := bar_index
Advanced Features
Heiken Ashi Mode
Toggle between regular candles and Heiken Ashi candles for all calculations. Heiken Ashi candles smooth price action and can reduce false signals in volatile markets.
// Fetch Heiken Ashi OHLC values
= request.security(
ticker.heikinashi(syminfo.tickerid),
timeframe.period,
)
// Select which OHLC to use based on toggle
selectedClose = useHeikenAshi ? haClose : close
First Entry Detection
Automatically identifies and labels the first signal after a trend change with "1. Trend Cycle Entry" text. This helps traders distinguish between fresh trend entries and continuation signals.
// Detect trend changes
trendChangedToBullish = bullishTrend and not bullishTrend
// Reset tracking when trend changes
if trendChangedToBullish
hadBuySignalInCurrentBullTrend := false
// Identify first signal in new trend
isFirstBuyInTrendCycle = buySignal and not hadBuySignalInCurrentBullTrend
How Signals Are Generated
The indicator uses a layered approach where each condition must be satisfied:
// Apply all filters
buySignal = enableBuySignals and baseBuySignal and
(not enableStochRSIFilter or stochRSIOversoldCondition) and
(not enableMASeparationFilter or maSeparationValid) and
(not enableCooldownFilter or buyCooldownValid)
Buy Signal Requirements:
✅ 15 EMA above 50 SMA (bullish trend)
✅ Candle low touches or goes below lower Bollinger Band
✅ Candle closes bullish (green)
✅ (Optional) StochRSI < 20
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Sell Signal Requirements:
✅ 15 EMA below 50 SMA (bearish trend)
✅ Candle high touches or goes above upper Bollinger Band
✅ Candle closes bearish (red)
✅ (Optional) StochRSI > 80
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Customization Options
Moving Averages:
Adjustable EMA length (default: 15)
Adjustable SMA length (default: 50)
Source selection (Close, Open, High, Low, HL2, HLC3, OHLC4)
Bollinger Bands:
Adjustable length (default: 20)
MA type selection (SMA, EMA, SMMA, WMA, VWMA)
Adjustable standard deviation multiplier (default: 2.0)
StochRSI Filter:
Adjustable RSI length (default: 14)
Adjustable Stochastic length (default: 14)
Customizable oversold/overbought levels (default: 20/80)
MA Separation Filter:
Adjustable minimum separation percentage (default: 1.0%)
Cooldown Filter:
Adjustable cooldown period in bars (default: 10)
Visual Settings:
Customizable colors for all elements
Adjustable line widths
Toggle first entry labels on/off
How to Use
Basic Setup: Apply the indicator to your chart. By default, it shows moving averages, Bollinger Bands, and entry signals.
Choose Your Mode: Enable Heiken Ashi mode if you prefer smoother signals and are willing to accept some lag.
Enable Filters: Start with all filters disabled to see raw signals. Then enable filters one by one:
Start with MA Separation filter to avoid choppy markets
Add StochRSI filter to catch better momentum conditions
Add Cooldown filter to prevent over-trading
Adjust Parameters: Tune the parameters based on your timeframe and trading style:
Lower timeframes: Consider shorter cooldown periods
Higher timeframes: May want tighter MA separation requirements
Watch for First Entry Labels: The "1. Trend Cycle Entry" label highlights the highest-probability signals occurring right after trend changes.
Important Notes
⚠️ This indicator does not repaint. All signals appear on closed candles only.
⚠️ Past performance is not indicative of future results. This indicator should be used as part of a complete trading strategy with proper risk management.
⚠️ Filters reduce signal frequency: Enabling multiple filters will significantly reduce the number of signals. This is intentional to improve quality over quantity.
⚠️ Heiken Ashi mode considerations: While HA mode smooths signals, it can also introduce lag. Test both modes on your preferred timeframe.
Best Practices
Always backtest on your preferred timeframe before live trading
Start conservative with tighter filters, then loosen if needed
Pay special attention to "First Entry" signals for highest probability setups
Use appropriate position sizing and stop losses
Consider market conditions: trending vs ranging
Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. Trading involves substantial risk of loss. Always do your own research and consider your risk tolerance before trading.
EMA Based TMA Bands [NeuraAlgo]EMA Based TMA Bands
Overview
EMA Based TMA Bands is a volatility-adaptive trend and reversal indicator that combines a Triangular Moving Average (TMA) with EMA-weighted smoothing and dynamic deviation bands. It is designed to identify trend direction, overextended price conditions, and potential reversal points with high visual clarity.
The indicator plots a central TMA line along with three upper and three lower volatility bands, automatically adapting to market conditions.
Core Concepts
1. Triangular Moving Average (TMA)
The TMA is calculated using triangular weighting, giving more importance to central bars.
This creates a smoother and more stable average compared to SMA or EMA.
The TMA acts as the main equilibrium price level.
2. EMA-Weighted Enhancement
An additional EMA-style weighting is applied using a custom coefficient.
This allows fine-tuning between smoothness and responsiveness.
Lower coefficient = smoother behavior
Higher coefficient = faster reaction to price changes
Volatility Bands
The bands are calculated using a weighted variance model:
Positive and negative deviations are tracked separately.
This allows asymmetric volatility response in bullish and bearish conditions.
Band Structure
Inner Band – Primary deviation
Middle Band – 1.15× deviation
● Outer Band – 1.30× deviation
These bands help identify:
● Overbought and oversold zones
● Volatility expansion and contraction
● Mean reversion opportunities
Trend Detection
Trend direction is determined by the slope of the TMA, normalized by ATR.
● Bullish Trend: TMA slope rising beyond threshold
● Bearish Trend: TMA slope falling beyond threshold
● Flat Market: No significant slope
The TMA line automatically changes color based on trend state.
Trading Signals
Buy Signal
A buy signal is triggered when:
● Price previously closes below the lower band
● A bullish candle forms on the current bar
● Suggests rejection of lower volatility zone
Sell Signal
A sell signal is triggered when:
● Price previously closes above the upper band
● A bearish candle forms on the current bar
● Suggests rejection of upper volatility zone
Signals are displayed as small triangle markers on the chart.
Inputs
Main Settings
● TMA Period: Length of the triangular moving average
● EMA Period: Length of EMA-weighted smoothing
● EMA Coefficient: Controls EMA influence
● Band Deviation: Controls band width
● Price Source: Input price (default: HLC3)
● Trend Threshold: Sensitivity of trend detection
Art Settings
● Bullish Color: Color used for bullish bands and signals
● Bearish Color: Color used for bearish bands and signals
Best Use Cases
● Trend continuation trading
● Mean reversion strategies
● Volatility expansion setups
● Support and resistance visualization
Notes
● Best used on intraday to swing timeframes
● Works well with price action confirmation
● Not a repainting indicator, but smoothing introduces natural lag
Developed by NeuraAlgo
Donchian Channels (Closing Price)The original Donchian Channel uses the highs and lows to plot.
For this indicator, it's based on the closing price. Useful for those who want to identify a breakout that's based on the closing price.
