ATR Deviation Sigmoid Oscillator# ATR Sigmoid Volatility Regime Oscillator
## What This Indicator Does
The **ATR Sigmoid Volatility Regime Oscillator** is a volatility-regime detection tool designed to answer a single, critical question:
> *Is the market currently in a low-volatility or high-volatility regime—relative to its own recent behavior?*
Instead of using raw volatility values, this indicator **contextualizes volatility** by comparing the current ATR (Average True Range) to its own historical baseline and then mapping that deviation into a bounded, interpretable scale.
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## How It Works (Conceptual)
1. **ATR Calculation**
The indicator starts with the standard ATR, which measures market volatility without direction.
2. **Baseline via EMA**
An EMA of ATR is used as a dynamic volatility baseline. This adapts to changing market conditions instead of relying on static thresholds.
3. **Relative Deviation**
The difference between ATR and its EMA represents how "unusual" current volatility is relative to its recent history.
4. **Normalization**
This deviation is normalized using ATR’s own dispersion, ensuring comparability across assets and timeframes.
5. **Sigmoid Transformation (0–100)**
A sigmoid function maps the normalized value into a **bounded 0–100 oscillator**, producing:
* Stability at extremes
* Smooth regime transitions
* No unbounded spikes
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## How to Read the Oscillator
* **Above 50 (Green)**
High-volatility regime. Momentum strategies, breakout logic, and wider risk parameters tend to perform better.
* **Below 50 (Red)**
Low-volatility regime. Mean-reversion, range trading, and tighter risk controls are generally more appropriate.
* **The 50 Level**
Acts as a *volatility regime boundary*, not a buy/sell signal.
This indicator is **not directional**. It is a *context filter*.
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## What This Indicator Is Best Used For
* Enabling/disabling strategies based on volatility regime
* Filtering false signals in low-volatility environments
* Position sizing and stop-distance adaptation
* Multi-asset volatility comparison using a common scale
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## What This Indicator Is NOT
* ❌ Not a buy or sell signal
* ❌ Not a trend indicator
* ❌ Not predictive on its own
It is designed to be used **in combination with price, trend, or momentum logic**.
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## Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument. Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for any trading decisions you make using this tool.
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## Like This Indicator?
If you find this volatility regime tool useful:
* ⭐ **Add it to your favorites**
* 💬 **Leave a comment or feedback** — suggestions are welcome
* 👤 **Follow for future updates and new quantitative tools**
Your support helps improve and refine this work.
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*Designed with a quantitative, regime-based approach to market analysis.*
Indikatoren und Strategien
Std Dev Channel [fmb]What it is
A professional regression channel that combines standard deviation divisions, an extreme price envelope, and a trend quality gauge. It is designed for fast read-and-act decisions on any timeframe, with sensible presets and log-space math for instruments that trend exponentially.
Why it’s different
Most channels draw fixed ±1σ and ±2σ around a regression line. This tool adds:
- Fibonacci-spaced σ divisions for precise scaling
- An objective MaxEnvelope of actual extremes with optional 1.272 and 1.618 extensions
- Pearson’s R labelling that classifies the trend as Strong Up, Moderate, Weak, or Strong Down
- A log-space option so channels behave correctly on long trends and high beta charts
How it works
Base line
- Linear regression of the last Length bars, drawn as a ray.
- Optional colour change by regime using Pearson’s R.
Divisions (StdDev or MaxEnvelope)
- StdDev basis: σ of residuals around the regression line.
- MaxEnvelope basis: distances from the base line to the farthest highs and lows in the lookback.
- Divisions can be Fibonacci multiples (0.382, 0.618, 1.000, 1.272 by default) or uniform steps.
Outer rails
- ENV 1.0 touches the farthest highs and lows within the window.
- Optional extensions at 1.272 and 1.618 highlight stretch and breakout zones.
Trend quality (Pearson’s R)
- R is computed on the same series and window.
- Default thresholds: Strong when |R| ≥ 0.70, Weak when |R| < 0.40.
- The label reads: R 0.XXX • Class, plotted near the most recent base value.
Log-space math
- When enabled, the model runs on ln(price) and converts the outputs back to price.
- Safer on multi-year charts and large percentage trends.
Presets
- Swing: Length 125, StdDev basis, Fib divisions, ENV 1.0 and 1.272 on
- Intraday: Length 240, StdDev basis, simple ±1 and ±2 style divisions, ENV off by default
- Position: Length 200, StdDev basis, compact Fib set for higher timeframes
You can turn preset overrides off to make every input respond instantly.
Inputs you will actually use
- Length, Source, Log-space ON or OFF
- Basis: StdDev or MaxEnvelope
- Divisions: Fib list or Step and Max multiple
- Outer rails: show ENV 1.0, show 1.272, show 1.618
- Labels and sizes, extend left or right
- Hide divisions or outer rails automatically when the regime is Weak
Alerts included
- Close crosses above or below ENV 1.0
- Close crosses above or below ENV 1.272 and 1.618 (if enabled)
Practical playbook
Trend following
- In Strong Uptrend: buy pullbacks near 0.382 to 0.618 above the base with stops just beyond the next lower division.
- In Strong Downtrend: sell bounces into 0.382 to 0.618 below the base with stops just beyond the next upper division.
Mean reversion
- When R is Moderate or Weak, fade moves that tag ENV 1.0 back toward the base.
- If price closes through an ENV extension, treat it as potential regime change and stand down on fades.
Breakouts
- A close through ENV 1.0 with R rising toward Strong often precedes trend acceleration.
- Use the next division or the 1.272 rail as the first target and trail on the base.
Tips
- Keep Length stable across symbols you compare. Consistency beats curve fitting.
- Use log-space on multi-year equities and crypto. Use linear for short intraday work.
- If you want a classic look, disable Fib and rails, set Step 1.0 and Max 2.0.
Notes
- The tool draws more lines when Fib divisions are active. If it feels busy, show divisions only and hide labels, or keep ENV 1.0 plus one extension.
- Pearson’s R is descriptive, not predictive. Combine with price structure and volume for entries.
ICT OTE [KTY]ICT OTE (Optimal Trade Entry) Indicator
This indicator automatically displays the OTE (Optimal Trade Entry) level based on ICT (Inner Circle Trader) methodology.
OTE is the 70.5% Fibonacci retracement level, which is considered a key level where price often reacts during pullbacks.
70.5% Fibonacci Level
- Automatically calculates and displays the OTE level
- Green line with ⬆ indicates uptrend retracement
- Red line with ⬇ indicates downtrend retracement
Multi-Timeframe Support
- Display OTE from two different timeframes simultaneously (LTF & HTF)
- HTF OTE levels carry more significance
Dynamic Calculation
- Automatically identifies swing high and low for the selected timeframe
- OTE level updates as new highs/lows form
1. Identify the OTE level on your chart
2. Watch for price reaction when approaching the OTE line
3. Combine with Market Structure (CHoCH/BOS) for directional bias
4. Look for confluence with OB, FVG, or Liquidity zones at OTE level
Pro Tips:
- HTF OTE (4H, 1D) is more reliable than LTF
- OTE aligned with Order Block increases significance
- Most effective in trending markets, less reliable in ranging conditions
Show OTE: Toggle OTE display on/off
LTF: Enable and select lower timeframe for OTE calculation
HTF: Enable and select higher timeframe for OTE calculation
Price Touched OTE Level
OTE Direction Changed to Bullish
OTE Direction Changed to Bearish
This indicator is designed for educational purposes.
OTE level touch does not guarantee price reversal.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
ICT Fair Value Gap [KTY]ICT Fair Value Gap Indicator
Overview
This indicator automatically detects and displays Fair Value Gaps (FVG) based on ICT (Inner Circle Trader) methodology.
Fair Value Gaps are imbalances created when price moves rapidly across three candles, leaving a gap where no trading occurred. Price tends to return to these zones, making them valuable areas for potential entries.
Key Features
Multi-Timeframe Support
Display FVGs from two different timeframes simultaneously (LTF & HTF)
HTF Fair Value Gaps provide stronger, more reliable levels
Bullish & Bearish FVG
Bullish FVG: Forms during sharp up moves → Acts as support on pullbacks
Bearish FVG: Forms during sharp down moves → Acts as resistance on bounces
Centerline (CE)
Dashed line marking the 50% level of each FVG
Key reaction level for precise entries
Mitigation Tracking
FVGs are automatically removed when price fills the gap
Option to display mitigated FVGs for reference
Volume Analysis
Displays relative volume percentage at FVG formation
Higher percentage indicates stronger momentum behind the gap
How to Use
Identify the trend on higher timeframes
Wait for price to retrace into an FVG zone
Look for reaction at the FVG, especially at the centerline (CE)
Enter within the FVG, set stop loss beyond the FVG boundary
Pro Tips:
FVGs that overlap with Order Blocks have higher probability
Fresh (untested) FVGs tend to produce stronger reactions
The middle candle being the largest of the three increases reliability
HTF FVGs are more significant than LTF FVGs
Settings
SettingDescriptionLTF / HTFEnable and select timeframes for FVG detectionBullish FVG CountNumber of Bullish FVGs to displayBearish FVG CountNumber of Bearish FVGs to displayShow Mitigated FVGToggle display of filled/mitigated FVGsLabel ColorCustomize text color inside FVG boxes
Alerts
🟢 Bullish FVG Detected
🔴 Bearish FVG Detected
🟢 Bullish FVG Touched
🔴 Bearish FVG Touched
🟢 Bullish FVG Mitigated
🔴 Bearish FVG Mitigated
Notes
This indicator is designed for educational purposes
Always combine with proper risk management
Past performance does not guarantee future results
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
ChunkbrAI-NN INDIChunkbrAI-NN INDI: The Neural Network Odyssey
A Native Pine Script Neural Network Research Engine
Welcome to ChunkbrAI-NN 5.3. This is not a standard technical indicator; it is a proof-of-concept Artificial Intelligence engine built entirely from scratch within Pine Script.
Neural Networks typically require iterating over massive datasets, a task that usually times out on TradingView. ChunkbrAI solves this by introducing a novel "Chunking Architecture"—a system that breaks history into digestible learning blocks and trains a Multilayer Perceptron (MLP) using a "Chunking" approach.
It features a living ecosystem where neurons have "genes," grow mature, and adapt to market regimes using a highly sophisticated Context-Aware normalization engine.
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The Core Concept: "The Time Wheel"
To bypass Pine Script's execution limits, this script does not train linearly from the beginning of time. Instead, it operates like a spinning wheel of experience.
* The Chunk System: On every bar update, the engine reaches back into history (up to 5000 bars) and grabs random or sequential "Chunks" of data. It treats these chunks as isolated training samples.
* Experience Replay: By constantly revisiting past market scenarios (Chunks), the network slowly converges its weights, learning to recognize patterns across different eras of price action.
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Architecture & Modules
A. The Neural Core (MLP)
At the heart is a raw neural network built with arrays:
* Topology: A dense network with a customizable Hidden Layer (Default: 60 Neurons).
* Timewarp (Stride): When enabled, the network uses "dilated" inputs (skipping bars, e.g., 1, 3, 5...). This increases the network's Field of View without increasing computational load.
* Forecasting: The network outputs a standardized prediction which is then de-normalized to project the future price path on your chart.
B. The Context System (The "Eyes")
Raw prices confuse neural networks. A $1000 move in Bitcoin is massive in 2016 but noise in 2024. ChunkbrAI uses a relativistic Context System:
* Regime Detection: It uses a Zero-Lag Moving Average (ZLMA) and Non-Linear Regression to measure the current market "Vibe" (Volatility & Trend).
* Dynamic Normalization: The inputs are scaled based on this context. If the market is volatile, the data is compressed; if calm, it is expanded. This ensures the brain receives consistent signal patterns regardless of the absolute price.
C. The Gene System (Neuro-Plasticity)
This is the experimental "biology" layer. Neurons are not just static math; they have life cycles.
* Maturity: Neurons start "Young" (highly plastic, high mutation rate). As they successfully reduce error, they become "Wise" (stable, low mutation).
* Mutation: If a "Wise" neuron begins failing (high error), it is demoted and forced to mutate. This allows the brain to "forget" obsolete behaviors and adapt to new market paradigms automatically.
* Profiles: You can initialize the brain with different personalities (e.g., Dreamer, Young Chaos, Zen Monk).
D. The Brain Scheduler (Adaptive Learning)
A static Learning Rate (LR) is inefficient. The Brain Scheduler acts as the heartbeat:
* Panic vs. Flow: It monitors the derivative of the error. If the error spikes (Panic), the Scheduler slows down learning to prevent the model from exploding. If the error smooths out (Flow), it accelerates learning (Infinite LR Mode).
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Forecasting Modes
The script provides two distinct ways to visualize the future:
1. Direct Projection (Green Line):
The network takes the current window of price action and predicts the immediate next step. If Timewarp is active, it interpolates the result to draw a smooth curve.
2. Autoregression (Cyan Line):
Available in "Auto" mode. The network feeds its *own* predictions back into itself as inputs to generate multi-step forecasts.
* Wave Segmentation: The script intelligently guesses the current market cycle length and attempts to project that specific duration forward.
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Operation Manual
The script has two distinct training loops: first, when you add it to a chart, Pine runs through the available historical bars once, and this initial history pass is the main training phase where the network iterates chunk-by-chunk using your configured chunk count/iterations (e.g., if chunk count is 3, it performs 3 chunk updates per step), but pushing chunk count, iterations, or model sizing too high can hit Pine’s execution limits; after that, once real-time candles start printing, the script can either keep training (weights continue updating) or freeze the weights and run inference only, producing predictions from the learned parameters, and if live training is enabled it can also simulate “bars-back” style training during live mode by iterating across prior bars as if doing another history pass—which again can run into limits if chunks/iterations/sizing are too heavy—so when changing parameters to evaluate behavior you change them carefully and individually, because multiple simultaneous increases make it hard to attribute effects and can more easily trigger those execution constraints.
Weight Persistence (Save/Load):
Pine Script can’t write files or persist weights directly, so ChunkbrAI uses a library-based workaround that’s honestly tricky and kind of a pain: you enable the weight-export alerts so the script emits the weights (W1/W2/biases etc.) as text, and those payloads are chunked as well; then, outside TradingView, I use a separate Python script to parse the alert emails, reconstruct and format the chunked weights properly, and generate the corresponding library code files; after that, the libraries have to be published/updated, and only then can the main script “restore” by reading the published lib constants on chart load, effectively starting with the pre-trained weights instead of relying purely on the fresh history-run training pass. I don’t recommend this process unless you really have to—it’s fragile and high-effort—but until TradingView implements some simple built-in data storage for scripts, it’s basically the only practical way to save and reload your models.
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Limitations & Notes
* Calculation Limits: This script pushes Pine Script to its absolute edge. If you increase Chunk Size or Hidden Size too much, you WILL hit execution limits. Use the defaults as a baseline.
* Non-Deterministic: Because the "Wheel" picks random chunks for training, two instances of this script might evolve slightly different brains unless you use the Restore Weights feature.
* Experimental: This is a research tool designed to explore Neural Networks and Genetic Algorithms on the chart. Treat it as an educational engine, not financial advice.
Credits: Concept and Engineering by funkybrown.
EMA20 and 10 PullbackStrategy Logic
Uses EMA 10, EMA 20, and VWAP for trend filtering
Identifies strong bullish and bearish trends
Waits for controlled pullbacks (1–3 candles) near EMA20
Triggers entries only on engulfing confirmation candles
Generates BUY signals in uptrends and SELL signals in downtrends
Key Features
Works best on NIFTY and liquid stocks
Avoids sideways markets by using EMA alignment + VWAP
Non-repainting, rule-based logic
Suitable for manual trading or alert-based automation
Alerts compatible with webhooks (n8n / Google Sheets)
Recommended Usage
Timeframe: 5-minute
Market: Trending sessions
Stop-loss: Below EMA20 or engulfing candle
Target: 1:1.5 – 1:2 R:R or EMA10 trailing
VCPTTTTTTESTVolume Cluster Profile — A standardized configuration template for storage cluster capacity and performance characteristics, covering volume cluster resource allocation, access policies, redundancy rules and performance baseline definitions, which supports standardized management and efficient scheduling of cluster resources.
Last Year's Close [fmb]This tool plots last year’s closing price as a clean stepline on the daily chart and turns it into a simple regime map. Each year is coloured by its own performance and the line flips in real time as price trades above or below that level.
- Plots last year’s close for each bar of the current year as a horizontal step line
- Works strictly on the 1D timeframe (the script will warn you otherwise)
- Year classification: if December closes above January’s open, that year is bullish; if it closes below, that year is bearish
- Horizontal and closing vertical segments are coloured green for bullish years and red for bearish years
- Inside the active year the colour updates dynamically: green while price is above last year’s close, red while price trades below it
- User inputs for bullish and bearish colours (default: soft green/red with 30 % opacity), so it can blend into any chart theme
- Uses the symbol’s own price scale, so the line always moves and scales together with the candles
Alert (New Feature)
The script includes a built-in alert condition that fires when price comes within a user-defined percentage of last year’s close.
Add the indicator to your chart (on 1D).
In Inputs, set the proximity percentage you want (default 10 %).
Create an alert on this script and choose:
- Condition: Price near last year's close
- Your preferred expiry and notification settings.
Use it to quickly see when a market is reclaiming or losing last year’s closing level, to anchor yearly mean-reversion trades, or to sanity-check how far a move has stretched relative to where the last calendar year finished.
ICT Kill Zone [KTY]ICT Kill Zone Indicator
This indicator displays ICT Kill Zones, which are high-liquidity trading periods during major exchange opening hours.
Smart money tends to make significant moves during these times, resulting in increased volatility and trading volume.
Four Kill Zones
- AS KZ (Asian): Lower volatility, range formation period
- LDN KZ (London): European session start, liquidity surge
- NY KZ (New York): Europe + US overlap, strongest moves
- LDN CL KZ (London Close): London closing, position unwinding period
Market Hours Display
- Shows actual trading hours for Asian, London, and New York markets
- High/low lines for each session
Session Indicators
- Visual markers at the bottom of chart showing active kill zones
- Labels when each kill zone begins
1. Identify which kill zone is currently active
2. Signals during kill zones (CHoCH/BOS, OB, FVG) have higher significance
3. Watch for Asian range breakout in London/New York sessions
4. Be cautious of false moves outside kill zone hours
Pro Tips:
- New York kill zone typically has the strongest moves
- London open often sets the daily direction
- Asian session forms the range that gets broken later
- Combine kill zones with other ICT concepts for best results
Show Kill Zones: Toggle kill zone display on/off
Show Market Hours: Toggle market hours lines on/off
Show Latest Data Only: Display only the most recent kill zone
Daylight Saving Time: Apply DST adjustment (On/Off)
Asian Kill Zone Started
London Kill Zone Started
New York Kill Zone Started
London Close Kill Zone Started
This indicator is designed for educational purposes.
Kill zones only display on 15-minute or lower timeframes.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
Joker 20The 20% Range Strategy is a rule-based swing trading approach designed to capture price reversals and breakouts within a stock’s defined yearly range.
This strategy works best in range-bound or mildly trending markets and focuses on high-probability entries near extreme price zones.
🔍 Concept
The strategy uses the 52-week High and 52-week Low as reference points.
The total price range between these two levels is divided.
A 20% band from the top and bottom of the range is marked as key decision zones.
📉 Buy Setup (Lower 20% Zone)
When the stock price enters the lower 20% of its 52-week range, it indicates potential undervaluation or strong support.
Entry: Buy on the next candle after price touches or confirms support in the lower zone.
Logic: Risk is limited because price is already near long-term support.
Daily 10 & 20 EMA (Shown on All Timeframes)The 10-day EMA is the quicker one. It hugs price closely, reacting fast to every twitch and hesitation. When price respects it, momentum feels alive. When price slices through it, you sense hesitation before it shows up elsewhere.
The 20-day EMA moves with more weight. It doesn’t flinch at noise. It represents the market’s short-term memory, the line price keeps returning to when trends are healthy. Above it, bias feels constructive. Below it, gravity takes over.
Together, they form a rhythm pair:
When the 10 EMA rides above the 20 EMA, the market is leaning forward.
When the 10 EMA sinks below the 20 EMA, momentum is cooling or rolling over.
When price compresses between them, indecision is building energy.
Across all timeframes, they scale like a fractal:
On lower timeframes, they act as tactical guides for entries, pullbacks, and exits.
On higher timeframes, they define structure, trend health, and whether moves are worth trusting.
They don’t predict. They contextualize.
They don’t command. They frame the battlefield
Educational Trend Direction (Up & Down)🔍 Overview
This indicator is designed to visually represent trend direction and trend transitions using a simple moving-average relationship. It is built strictly for educational and analytical purposes, allowing users to observe how price behaves during upward and downward market phases without relying on trading signals or predictions.
The indicator focuses on trend context, not trade execution.
⚙️ How the Indicator Works
The script calculates two exponential moving averages:
A fast trend line that reacts quickly to recent price changes
A slow trend line that represents broader market direction
Trend direction is determined by the relative position of these two lines.
When the fast line moves above the slow line, the market is considered to be in an upward trend phase
When the fast line moves below the slow line, the market is considered to be in a downward trend phase
This relationship helps visualize trend shifts and momentum changes in a simple and intuitive way.
🎨 Visual Components Explained
🟢 Green Trend Line
Represents the fast moving average during upward trend phases
Indicates that price is maintaining strength relative to the broader trend
Color reflects trend direction only, not confirmation or entry
🔴 Red Trend Line
Represents the fast moving average during downward trend phases
Indicates sustained weakness relative to the broader trend
Color does not imply selling or future continuation
⚪ Grey Trend Line
Represents the slow moving average
Acts as a baseline trend reference
Helps distinguish between short-term fluctuations and broader direction
🎨 Background Shading
Light green shading appears during upward trend environments
Light red shading appears during downward trend environments
Background color provides context only and does not signal market actions
🎯 Purpose & Benefits
Helps identify trend phases in a clear and minimal way
Improves understanding of trend transitions and momentum shifts
Reduces visual noise compared to raw price data
Encourages context-based analysis instead of signal dependency
Suitable for all markets and timeframes
⚠️ Important Notes
This indicator does not generate buy or sell signals
No targets, stop levels, or performance metrics are included
Trend conditions are descriptive, not predictive
Past behavior does not guarantee future outcomes
Users should always apply their own analysis and risk management when interpreting market data.
📚 Intended Use
This tool is intended for:
Market trend study
Educational demonstrations
Visual analysis of trend direction
Long-term chart structure awareness
It is not intended for automated trading or decision-making.
Overnight Mid-point v2Same idea as first script, just refined so it takes candlesticks and not swings.
alerts scriptThis script helps traders identify important institutional price zones and receive BUY / SELL alerts automatically when the market reaches those zones, instead of watching charts manually.
The entire system is designed to:
- Reduce manual chart monitoring
- Provide real-time actionable alerts
Momentum Fusion (CCI + RSI)1. The CCI Engine (Trend & Deviation)
The White Line: Represents the raw Commodity Channel Index. It measures how far the current price is from its statistical average.
The Yellow Line: An EMA (Exponential Moving Average) of the CCI. This acts as a "trigger." Instead of buying the moment the CCI turns up, you wait for the White line to cross the Yellow line, confirming a shift in momentum.
Key Zones:
Above +100: Strong Bullish Trend (Common in your IREN and SNDK holdings).
Below -100: Strong Bearish Trend or "Oversold" (Watch for this in NEM or APA).
2. The RSI Filter (Velocity & Exhaustion)
The Aqua Line: Represents the Relative Strength Index.
The Scaling: Since RSI usually lives between 0–100 and CCI fluctuates between -200 and +200, the script automatically "stretches" the RSI so you can compare it directly to the CCI on the same pane.
Logic: It prevents "chasing." If the CCI tells you to buy, but the RSI is already near the top of the chart, the script will be cautious.
3. Visual Alerts & "Fusion" Signals
Buy Label (Green): Appears when the CCI crosses back above the -100 line (recovering from a dip) AND the RSI is below 40 (meaning there is plenty of "room" to grow before the stock gets tired).
Sell Label (Red): Appears when the CCI crosses below +100 (losing steam) AND the RSI is above 60 (indicating the move is likely exhausted).
Background Highlighting: * Green Shading: High-conviction buying zone (Extreme Oversold).
Peaks and Troughs📄 Script Description – EN (English)
Peaks and Troughs (P&T) is a price action indicator that identifies confirmed swing highs (peaks) and swing lows (troughs) based on structural trend changes.
Key features:
Trend-break based peak and trough confirmation
Optional engulfing signal at confirmed swing points
Body-break based Mother Bar (Outside Bar) range marking
Clean chart output with only the latest active levels
Unified alert system using Any alert() function call
Designed for discretionary trading, market structure analysis and automation-ready alerting.
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📄 Script Description – HU (Magyar)
A Peaks and Troughs (P&T) egy price action alapú indikátor, amely megerősített csúcs- (peak) és völgypontokat (trough) azonosít trendváltás alapján.
Főbb jellemzők:
Trendtörés alapú peak és trough meghatározás
Opcionális engulfing jelzés megerősített swing pontokon
Body-break alapú Mother Bar (Outside Bar) tartomány jelölés
Letisztult chart, mindig csak az aktuális szintekkel
Egységes riasztási rendszer (Any alert() function call)
Diszkrecionális kereskedéshez, market structure elemzéshez és automatizált riasztásokhoz optimalizálva.
Multi-Timeframe Trading SystemIntegrating Multi-Timeframe Trading Analysis: A Comprehensive Approach to Market Structure and Trend Identification
In the dynamic landscape of financial markets, traders continually seek robust analytical frameworks that can synthesize diverse market signals into a coherent decision-support system. This script represents a deliberate integration of several established technical analysis concepts, designed to provide a multi-perspective view of market conditions. The rationale for this integration stems from the recognition that no single indicator provides a complete picture; rather, a confluence of signals from different analytical dimensions can enhance the probability of identifying high-quality trading opportunities.
The core design principle of this script is the synthesis of trend analysis, momentum assessment, and market structure identification across multiple timeframes. This multi-layered approach is grounded in the widely accepted market axiom that higher timeframes exert gravitational pull on lower timeframes, and that the alignment of signals across temporal scales often precedes significant price movements.
Functional Components and Their Synergistic Operation
The script operates through several interconnected modules that work in concert:
Multi-Timeframe Trend Analysis Dashboard: At the heart of the system is a comparative trend analysis across six distinct timeframes (3-minute to daily). This is achieved using Exponential Moving Average (EMA) crossovers—a proven trend-following mechanism. The dashboard provides instantaneous visual feedback about trend alignment or divergence across timeframes, allowing traders to gauge the strength and consistency of prevailing market trends. When multiple timeframes exhibit congruent trend directions, it suggests a higher-conviction trading environment.
EMA-Based Trend Filtering: The script employs dual EMA periods (55 and 200) as its primary trend filter. The relationship between these moving averages serves as the foundation for all subsequent analysis, coloring price bars according to the dominant trend direction. This visual cue helps traders maintain perspective on the broader market context, preventing counter-trend entries during strong trending phases.
Momentum Assessment via RSI: The Relative Strength Index (RSI) operates as a complementary momentum oscillator. While the EMA system identifies trend direction, the RSI helps assess whether price movement within that trend is approaching overextended conditions. The script monitors RSI levels for traditional overbought and oversold thresholds, providing alerts when these conditions emerge.
Market Structure Analysis through Swing Points and Fractals: The automated detection of swing highs and lows forms the basis for understanding market structure. These pivot points are essential for identifying potential support/resistance zones and charting the sequence of higher highs/lows or lower highs/lows that characterize trending versus ranging markets. The fractal detection system further refines this structural analysis by identifying minor reversal points within the broader swing structure.
Fair Value Gap (FVG) Identification: The script automatically detects price voids or "gaps" that often act as magnetic attractors for future price action. These FVGs represent areas of inefficient price discovery where liquidity tends to cluster, making them significant for both trade entry and risk management decisions.
Automated Trendline Construction: By connecting successive swing points, the script dynamically draws trendlines that visualize the prevailing market trajectory. These trendlines serve as dynamic support/resistance levels that adapt to changing market conditions.
Practical Application and Usage Guidelines
Traders can utilize this integrated system in several practical ways:
Trend Confirmation: Before entering any position, check the multi-timeframe dashboard for trend alignment. Convergent trends across multiple timeframes generally offer higher-probability trading environments.
Entry Timing: Use RSI extremes in conjunction with trend direction. For instance, in an established uptrend (confirmed by EMA alignment), an RSI reading dipping into oversold territory may present a favorable long entry opportunity.
Structural Analysis: Monitor the sequence of swing points to identify potential breakouts or breakdowns in market structure. A break of a significant swing point often signals acceleration in the prevailing trend.
Fair Value Gap Trading: Watch for price returns to previously identified FVGs, as these zones frequently provide favorable risk-reward entry points with logical stop-loss placement beyond the gap boundaries.
Dynamic Support/Resistance: Utilize the automatically drawn trendlines as dynamic levels for trade management, including entry, stop-loss placement, and profit-taking.
Originality and Distinctive Features
While individual components of this system are derived from established technical analysis principles, the original contribution lies in their specific integration and visualization methodology. The script provides:
A unified visual framework that reduces analytical clutter while maintaining comprehensive market assessment
Real-time multi-timeframe analysis without requiring constant chart switching
Automated structural analysis that eliminates subjective trendline drawing
A balanced approach that respects both trend-following and mean-reversion principles
Customizable parameters that allow adaptation to different trading instruments and timeframes
Important Considerations
Users should understand that this tool is designed as a decision-support system, not an automated trading solution. All trading decisions should incorporate additional factors including fundamental analysis, market context, and appropriate risk management. The color-coded bar system and dashboard indicators are intended to streamline analysis, but they cannot guarantee specific market outcomes. Traders are encouraged to test this system in simulated environments before applying it to live markets and to adapt its parameters to align with their individual trading styles and risk tolerances.
The script's value proposition lies in its ability to synthesize multiple analytical perspectives into a cohesive visual interface, potentially reducing cognitive load while maintaining analytical rigor—a balance that many traders find challenging to achieve manually across multiple charts and timeframes.
WC Cross Clouds with Arrows - Customizable EditionThis is an enhanced and fully customizable version inspired by the original "WC CROSS CLOUDS with Arrows" indicator by AlfsDipz (thank you for the great foundation!).
What it shows:
• Two clouds for visual trend context:
- Static black WMA cloud (default WMA 21 & 24) – helps identify overall market structure
- Directional cloud (default SMA 9 & 21, but fully configurable) – green when fast MA is above slow MA (bullish), red when below (bearish)
• Clean signals with arrows + text:
- Green triangle up + "LFG" → New bullish regime starts (fresh crossover upward)
- Red triangle down + "DBD" → New bearish regime starts (fresh crossover downward)
• Small realtime label showing current regime + bars since last signal
New features / improvements compared to original:
• Fully user-configurable MA lengths for both clouds
• Choose MA type for the directional cloud (SMA, EMA, or WMA)
• Customizable source (close, hl2, open, etc.)
• Cleaner signal logic (only shows arrows when trend direction actually changes)
• No duplicate/false signals during ranging markets
• Works in Pine Script v6 (latest version)
How to use:
- Green cloud + "LFG" arrow → potential long opportunity
- Red cloud + "DBD" arrow → potential short / exit long
- Use together with your own price action, support/resistance, volume, etc.
Feel free to use, modify, expand, fork, or build upon this script however you like!
Credit to AlfsDipz for the original concept and cloud style that inspired this version.
Happy trading everyone!
Dove– Chesapeake, VA
QuCap Pure Liquidity: Untouched Liquidity PoolsOverview Most liquidity indicators on the Public Library suffer from "Chart Noise." They often leave levels on the chart long after they have been "wicked out," simply because the candle didn't manage to close past the level.
QuCap Pure Liquidity is designed for the precision trader who only cares about Intact Liquidity. This script identifies pivot-based liquidity pools and monitors them in real-time. If price wicks through a level by even a single tick, the level is immediately invalidated and removed from your chart.
Key Features
Instant Invalidation: Levels are deleted on wick touch (High/Low), not candle close.
Intact Levels Only: What you see on the chart is "Fresh" and has not been mitigated.
Memory Management: Includes customizable limits for Buy-Side and Sell-Side levels to keep your chart clean and your browser running fast.
Fully Customizable: Adjust pivot strength (Left/Right bars) and visual styles to match your personal template.
How to Use
Draw on Liquidity: Use the remaining lines as a magnet for price action.
Stop Runs: Observe how price reacts when it clears these levels.
Clean Charts: Perfect for traders who follow SMC or ICT concepts and need to see where the real "resting" orders are.
Settings
Pivot Strength: Increase these values (e.g., 5, 5) to find more significant historical levels, or keep them low (2, 2) for scalp targets.
Max Levels: Keeps the chart from showing lines from weeks ago that are no longer relevant to current intraday price action.
Celestial StateCelestial State (C1) – Market Bias & Candle Intent
Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure.
No indicators.
No lag.
Just clean candle logic.
The tool separates state (what the market is) from intent (what the market is doing right now).
🔹 Core Concept
The indicator works on the chart timeframe and uses closed candles only to define market state.
It then monitors the current candle to identify:
momentum confirmation
early warnings
potential trap / reversal behaviour
🔹 Market State (Based on C1 – last closed candle)
State is derived from the relationship between the last two closed candles:
Bull Trend Start
Bearish candle → Bullish candle
Bull Continuation
Bullish candle → Bullish candle
Bear Trend Start
Bullish candle → Bearish candle
Bear Continuation
Bearish candle → Bearish candle
This defines the directional environment before any decision is made.
🔹 Bias & Momentum (Live Candle)
Once state is defined, the current candle is monitored relative to the previous candle’s high and low.
Strong Buy
Bullish state
Previous candle bullish
Current candle breaks previous high
Strong Sell
Bearish state
Previous candle bearish
Current candle breaks previous low
These represent momentum continuation with confirmation.
Buy / Sell (Normal Bias)
Price is in a bullish or bearish state
No momentum break yet
This is directional bias without confirmation.
Changing Bias
Bullish state + previous low broken
Bearish state + previous high broken
This warns that control is being challenged and conditions may be shifting.
🔹 Flip (Strict Order)
A Flip is a high-risk condition where expansion fails:
Bull Flip
Current candle breaks previous high first, then breaks previous low
Bear Flip
Current candle breaks previous low first, then breaks previous high
This often signals:
failed breakouts
stop hunts
transition zones
🔹 Visual Output
Top-right panel shows:
Current Celestial State (C1)
Current Bias (Strong Buy / Sell / Changing Bias)
Short explanation (e.g. High broken, Low broken)
On-chart markers are intentionally minimal and offset away from price to reduce clutter.
🔹 Who This Is For
This indicator is built for traders who:
trade price action
want context before execution
prefer clarity over complexity
understand that bias ≠ entry
⚠️ Disclaimer
This tool does not provide entries, exits, or risk management.
It is a context and intent framework, not a signal system.
Use it as a decision-support layer alongside your own execution rules.
Cruzamento MACD 15 min sauloCruzamento macd nos 15 min, quando acontece o cruzamento o indicador da o sinal de compra e venda.
Regression ChannelAn enhanced version of TradingView's Linear Regression Channel that displays multiple upper and lower deviation channels with support for both linear and exponential regression models.
Getting Started & Usage
This indicator overlays a regression channel with up to 4 customizable standard deviation levels above and below the regression line. By default, it uses linear regression, but you can switch to an exponential regression model for curved price trends.
For detailed explanations of the statistical concepts and additional usage examples, please visit the documentation .
Rolling VWAP - Clean Tunnel Bands (Consecutive Fills)Advanced Rolling Volume Weighted Average Price (RVWAP) indicator with 10 standard deviation bands arranged in clean consecutive zones without overlap.
Key Features:
• Real-time Rolling VWAP calculated over a time-based window (auto or user-defined)
• 10 deviation levels: 0.5σ to 5.0σ
• "Tunnel" visual effect: very transparent bands near VWAP, progressively more opaque toward extremes
• Consecutive fill system (no overlapping fills between bands)
• Individual control for each band: toggle visibility + independent transparency slider
• Automatic timeframe-based period or custom fixed period (Days/Hours/Minutes)
• Minimum bars protection to prevent calculation errors during market gaps and holidays
• Optional info box showing current period
Ideal for:
- Spotting extreme price deviations
- Mean reversion strategies
- Volatility analysis
- Support/resistance zone identification
- Clean visual tunnel for better readability
Based on TradingView's official "Rolling VWAP" indicator, heavily enhanced with clean consecutive fills and full per-band customization.
Recommended default transparency (higher = more transparent):
- Inner bands (0.5σ–1.5σ): 93–98
- Middle bands (2.0σ–3.0σ): 77–89
- Outer bands (3.5σ–5.0σ): 32–68
Enjoy and trade responsibly!
