Rally Base Drop Signals [LuxAlgo]The Rally Base Drop indicator is built around the Supply and Demand (SND) concept known as "Rally, Base & Drop" Candles. These candle types are commonly used in this trading approach to identify price structure.
This indicator highlights bars by labeling them as "Rally," "Drop," or "Base" candles. It also identifies specific sequence patterns formed by these candles.
🔶 USAGE
The Rally, Base, Drop candlestick approach is a straightforward method for identifying price action structure.
Candles are categorized into three types, which are then analyzed to understand market structure and Supply/Demand levels.
Rally: Two or more consecutive bullish candles.
Drop: Two or more consecutive bearish candles.
Base: A single bullish or bearish candle that breaks the previous trend.
🔹 Rally & Drop Candles
These candles show clear directional momentum and signal whether demand or supply is dominating. They are helpful when identifying trends, as they highlight strong price movement.
🔹 Base Candles
In most SND strategies, "Base" can have several interpretations.
Typically, base candles represent short periods of consolidation that test the trend before continuation. They can also be found at turning points (tops or bottoms).
For this indicator, a base candle is simply one that does not follow the direction of nearby candles or is where a Drop and Rally meet. Multiple base candles often reflect indecision in the market, suggesting a temporary balance between buyers and sellers.
🔹 Reversal Sequences
Rally-Base-Drop (RBD)
Drop-Base-Rally (DBR)
In Supply and Demand analysis, these sequences are considered reversals. They mark zones where buyer and seller activity has shifted, which can lead to future price reactions. These areas are known as "Supply or Demand Zones" and are often revisited by price, making them useful for trade setups.
🔹 Continuation Sequences
Rally-Base-Rally (RBR)
Drop-Base-Drop (DBD)
Continuation sequences show a brief pause in the trend, followed by further movement in the same direction. In SND terms, they represent zones where orders accumulate before a continuation move. These are typically used to join ongoing trends, as they indicate sustained interest from buyers or sellers.
🔶 DETAILS
🔹 Color Modes
The script includes three color modes. "No Color" is self-explanatory, while the other two options relate to how candles are detected.
A Rally or Drop requires at least two candles to be successfully identified. As a result, detection occurs on the second candle. However, the full Rally or Drop includes both candles.
Two coloring methods are available:
Full Color: Once a Rally or Drop is detected (on the second bar), both candles are colored, starting from the first. This reflects the full pattern.
Color on Detection: Only the second candle (where detection occurs) is colored. This avoids changing past bars and may be useful for live analysis.
🔶 SETTINGS
Sequences: Select which sequences to display on the chart.
Bar Color Logic: Choose the preferred bar coloring method.
Wskaźniki i strategie
30 Min Pivot Enhanced# 30 Min Pivot Enhanced
The **30 Min Pivot Enhanced** indicator detects pivot reversals and potential buy/sell signals on the 30-minute timeframe. It combines streak-based trend exhaustion with pivot breakouts and optional flush (capitulation) candle detection.
## Core Logic
- Trend streaks: pivots form after consecutive same-color candles (`trendLength`)
- Flush detection: oversized red candles (ATR based) flagged as potential exhaustion
- Pivot candidates:
- Bullish → after a red streak (or flush) followed by a green candle
- Bearish → after a green streak followed by a red candle
- Confirmation: price must break pivot high/low within `maxBarsAfterPivot`
## Inputs
- Consecutive Trend Candles → streak length required for pivot
- Maximum Bars After Pivot → confirmation window
- Show Pivot Lines → toggle pivot levels on chart
- Flush Detection → ATR-based capitulation detection
- Flush Lookback → how many bars to keep flush valid
- Enable Buy/Sell Alerts → toggle trade alerts
## Visuals
- Buy pivots → green "P Buy" labels under price
- Sell pivots → red pivot lines at lows (if enabled)
- Flush markers → optional debug labels showing capitulation bars
## Alerts
- Buy Alert → price breaks above pivot high
- Sell Alert → price breaks below pivot low
---
Best for traders watching **30-minute reversal plays**, especially where exhaustion or flush candles precede a breakout.
Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6)
A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6.
Full credits to zeiierman.
Repainting notice: The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do not occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use.
Concept
The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins.
At each confirmed pivot, a fresh Anchored VWAP segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume.
Responsiveness is controlled by Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it.
Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design.
How it works (under the hood)
Swing detection: Uses ta.highestbars / ta.lowestbars over prd to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL).
Regime logic: If phL > plL → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot.
Adaptive VWAP math: APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate.
Rendering: Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character.
Orders: On bullish flips, strategy.entry("L") opens/maintains a long; on bearish flips, strategy.close("L") exits.
Inputs & controls
Swing Period (prd) — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise.
Adaptive Price Tracking (APT) — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler.
Adapt APT by ATR ratio — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets.
Volatility Bias — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder).
Style settings — Colors for swing labels and VWAP segments, plus line width for visibility.
Trade logic summary
Entry: Long when the swing structure turns bullish (latest swing low is more recent than the last swing high).
Exit: Close the long when structure turns bearish.
Position size: qty = strategy.equity / close × 5 (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile.
Recommended workflow
Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker).
Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother).
Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary Volatility Bias to observe how segments tighten/loosen.
Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations.
Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use.
Practical tips
Context filter: Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer.
First pivot preference: Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges.
Deviations: You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls.
Sessions: Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities.
Extending the script (ideas)
Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation).
Introduce mirrored short logic for two-sided testing.
Include alert conditions for regime flips or for price-VWAP interactions.
Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0).
Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges.
Known limitations
Repainting: Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals.
Execution realism: Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity.
No guarantees: Past behavior does not imply future results. This publication is for research/education only and not financial advice.
Defaults (backtest environment)
Initial capital: 10,000
Commission value: 0.01
Slippage: 1
Overlay: true
Max bars back: 5000; Max labels/polylines set for deep swing histories
Quick checklist
Add to chart and verify that the instrument has volume.
Use defaults, then tune APT and Volatility Bias with/without ATR adaptation.
Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits.
Paper trade across several symbols/timeframes before any discretionary decisions.
Attribution & license
Original indicator concept and logic: Zeiierman — please credit the author.
Strategy wrapper and publication: PineIndicators .
License: CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
Bank Strategy v2# Multi-Signal Confirmation Strategy (MSCS)
## Overview
The Multi-Signal Confirmation Strategy is a comprehensive technical analysis indicator that combines multiple confirmation signals to generate high-probability buy and sell opportunities. This indicator is designed to reduce false signals by requiring multiple technical confirmations before generating trading alerts.
## Key Features
### 🎯 **Multi-Confirmation System**
- Requires 2-5 confirmations before signal generation
- Reduces false signals and improves signal quality
- Customizable confirmation threshold
### 📊 **Technical Analysis Components**
1. **Trend Analysis** - Multiple moving average types (SMA, EMA, WMA, RMA)
2. **Liquidity Detection** - Identifies key support/resistance levels
3. **Manipulation Patterns** - Detects false moves and liquidity hunts
4. **Order Blocks** - Recognizes institutional order flow patterns
5. **Imbalances** - Identifies price gaps and imbalances
6. **Volume Analysis** - Detects significant volume spikes
### 🔍 **Signal Types**
#### Bullish Confirmations:
- Price above moving average (bullish trend)
- Support level liquidity hunt
- False move down pattern
- Bullish engulfing pattern
- Bullish gap/imbalance
- Volume spike confirmation
#### Bearish Confirmations:
- Price below moving average (bearish trend)
- Resistance level liquidity hunt
- False move up pattern
- Bearish engulfing pattern
- Bearish gap/imbalance
- Volume spike confirmation
## How to Use
### 📋 **Settings Configuration**
1. **Signal Configuration:**
- Set minimum confirmations (2-5 signals)
- Enable/disable status table display
2. **Visual Display:**
- Toggle liquidity levels visibility
- Show/hide manipulation zones
- Optional moving average line display
3. **Moving Average Settings:**
- Choose MA period (1-500, default: 200)
- Select MA type (SMA, EMA, WMA, RMA)
### 🎯 **Entry Management**
- Automatic entry level calculation (25% retracement from signal candle)
- Entry timeout after 10 bars to avoid stale signals
- Clear entry confirmation markers on chart
### 📈 **Visual Elements**
- **Green Triangle Up**: Buy signal generated
- **Red Triangle Down**: Sell signal generated
- **Yellow Lines**: Entry levels awaiting execution
- **"ENTRY" Labels**: Entry level triggered
- **Dashed Lines**: Key liquidity levels
- **Colored Boxes**: Manipulation zones (FM = False Move)
## Alert System
The indicator provides four types of alerts:
1. **Buy Signal Generated** - When bullish confirmations meet threshold
2. **Sell Signal Generated** - When bearish confirmations meet threshold
3. **Buy Entry Triggered** - When price reaches calculated buy entry level
4. **Sell Entry Triggered** - When price reaches calculated sell entry level
## Status Information Panel
The indicator includes a comprehensive status table showing:
- Current market trend direction
- Number of bullish confirmations active
- Number of bearish confirmations active
- Required confirmation threshold
- Current position status (awaiting buy/sell/none)
## Best Practices
### ✅ **Recommended Usage**
- Use higher timeframes (4H, Daily) for stronger signals
- Combine with proper risk management and position sizing
- Wait for entry level confirmation before taking trades
- Consider market context and overall trend direction
### ⚠️ **Risk Management**
- This indicator is for educational and analytical purposes
- Always use proper stop-loss and take-profit levels
- Do not risk more than you can afford to lose
- Backtest thoroughly before live trading
### 🔧 **Optimization Tips**
- Adjust confirmation requirements based on market volatility
- Higher confirmations = fewer but higher quality signals
- Lower confirmations = more signals but potentially more noise
- Test different MA periods for your specific market/timeframe
## Technical Specifications
- **Pine Script Version**: v5
- **Overlay**: Yes (displays on price chart)
- **Maximum Bars Back**: 100 (optimized for performance)
- **Repainting**: No (signals are final once bar closes)
## Educational Disclaimer
This indicator is designed for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always conduct your own analysis, consider multiple factors, and implement proper risk management strategies. Past performance does not guarantee future results.
Bank Strategy v1 Pro # Bank Strategy v1 Pro - Advanced Institutional Trading System
## Overview
Bank Strategy v1 Pro is a sophisticated institutional-grade trading indicator designed for professional traders who understand advanced market microstructure concepts. This system implements the precise methodologies used by institutional traders to identify high-probability reversal opportunities through liquidity manipulation patterns.
## Core Methodology
### 🏦 **Institutional Trading Framework**
This strategy is built upon the fundamental principle that institutional players (banks, hedge funds, market makers) create specific patterns when accumulating or distributing positions. The indicator identifies these patterns through:
- **Liquidity Manipulation Sequences** - Detection of deliberate stop-loss hunting
- **False Move (FU) Patterns** - Identification of engineered price movements
- **Order Block Analysis** - Recognition of institutional accumulation/distribution zones
- **Imbalance Trading** - Exploitation of price inefficiencies
- **Market Structure Context** - Trend-based signal filtering
### 📊 **Advanced Signal Components**
#### 1. **Liquidity Zone Identification**
- Automated detection of swing highs/lows where retail stops accumulate
- Dynamic liquidity level tracking with 30-bar extension
- Real-time monitoring of liquidity sweeps and hunts
#### 2. **False Move (FU) Pattern Recognition**
- **Bullish FU**: High manipulation → Close below previous low (bearish trap)
- **Bearish FU**: Low manipulation → Close above previous high (bullish trap)
- Institutional reversal confirmation after liquidity grab
#### 3. **Order Block Detection**
- Bullish Engulfing: Strong institutional buying after bearish candle
- Bearish Engulfing: Strong institutional selling after bullish candle
- 20-bar forward projection for order block validity
#### 4. **Price Imbalance Analysis**
- Bullish Imbalance: Gap up indicating buying pressure
- Bearish Imbalance: Gap down indicating selling pressure
- 15-bar tracking with automatic labeling
## Signal Generation Logic
### 🎯 **Entry Criteria**
**Buy Signal Requirements:**
- Bearish FU pattern detected (liquidity grab below previous low)
- Price above 200 SMA (bullish market context)
- Liquidity lows available for targeting
- Signal confirmation enabled
**Sell Signal Requirements:**
- Bullish FU pattern detected (liquidity grab above previous high)
- Price below 200 SMA (bearish market context)
- Liquidity highs available for targeting
- Signal confirmation enabled
### 📈 **Advanced Entry Management**
- **Entry Level**: 50% retracement of manipulation candle body
- **Stop Loss**: 20% extension below/above manipulation range
- **Take Profit**: Configurable risk-reward ratio (1:1 to 1:5)
- **Timeout**: 15-bar automatic signal expiry
## Professional Features
### 🔧 **Customizable Parameters**
- **Signal Control**: Independent buy/sell signal toggles
- **Visual Elements**: Modular display of order blocks, imbalances, liquidity zones
- **Risk Management**: Adjustable risk-reward ratios up to 1:5
- **Market Structure**: Configurable swing length (3-20 periods)
- **MA Filter**: Optional 200 SMA trend context
### 📊 **Real-Time Status Monitoring**
Professional status table displaying:
- Current market trend direction
- Liquidity availability status
- Active entry waiting status
- Risk-reward configuration
- System health indicators
### 🚨 **Professional Alert System**
- **Signal Alerts**: Instant notification of buy/sell opportunities
- **Entry Alerts**: Confirmation when entry levels are reached
- **Custom Messages**: Detailed alert descriptions for trade management
## Advanced Visual Analysis
### 🎨 **Color-Coded Elements**
- **Green Boxes**: Bullish order blocks (institutional buying zones)
- **Red Boxes**: Bearish order blocks (institutional selling zones)
- **Blue/Orange Boxes**: Price imbalances requiring fill
- **Purple Boxes**: FU patterns with directional labels
- **Dotted Lines**: Key liquidity levels with labels
- **Yellow Lines**: Pending entry levels
### 📍 **Professional Labeling**
- Clear identification of all pattern types
- Directional bias indicators
- Entry confirmation markers
- Liquidity level annotations
## Risk Management Framework
### ⚠️ **Professional Trading Guidelines**
- **Timeframe Recommendation**: 4H+ for institutional signal reliability
- **Position Sizing**: Risk no more than 1-2% per signal
- **Confirmation**: Wait for entry level hits before position entry
- **Context**: Always consider overall market structure and sentiment
### 🛡️ **Built-in Protections**
- Automatic signal timeout prevents stale entries
- Trend context filtering reduces counter-trend risks
- Liquidity requirement ensures sufficient market depth
- Risk-reward enforcement maintains positive expectancy
## Performance Optimization
### ⚡ **Technical Specifications**
- **Pine Script v5**: Latest version compatibility
- **Resource Limits**: Optimized for 500 bars, 200 lines, 100 boxes, 200 labels
- **Processing**: Efficient array management for liquidity tracking
- **Memory**: Automatic cleanup of expired signals and objects
### 🎯 **Signal Quality**
- High-probability setups through multi-factor confirmation
- Institutional pattern recognition reduces retail noise
- Trend context filtering improves win rate
- Professional entry timing reduces slippage
## Educational Framework
### 📚 **Institutional Concepts**
This indicator teaches professional trading concepts:
- Market microstructure understanding
- Institutional order flow analysis
- Liquidity-based trading strategies
- Professional risk management techniques
### 🎓 **Skill Development**
- Pattern recognition training
- Market structure analysis
- Trade timing optimization
- Risk management discipline
## Disclaimer
This indicator is designed for professional traders with experience in institutional trading concepts. It requires understanding of market microstructure, liquidity dynamics, and professional risk management. Past performance does not guarantee future results. Always implement proper risk management and consider multiple analysis factors before making trading decisions.
## Compatibility
- **Markets**: Forex, Indices, Cryptocurrencies, Commodities
- **Timeframes**: Optimized for 1H and above (4H+ recommended)
- **Platform**: TradingView Pine Script v5
- **Features**: Full alert integration, customizable display options
Live Trade Table [NuengChill]signal for live trade score
when you live trade you can add signal as you trade
table
1. trade number
2. type Buy or sell waiting
3. entry price
4. TP1 , TP2
5. SL
6. win/ Lose result
7. statue => Active , SL hit , TP hit , TP2 hit
TEWMA Supertrend - [JTCAPITAL]TEWMA Supertrend is a modified way to use Triple Exponential Weighted Moving Average inside Supertrend logic for Trend-Following
The indicator works by calculating in the following steps:
1. Calculate the Triple Exponential Moving Average with Weighted Moving Average as input.
2. Calculate the ATR over the Supertrend Length
3. Use the Triple Exponential Weighted Moving Average, and add the multiplier times the ATR for the upper limit, and subtract the multiplier times the ATR for the lower limit.
4. Define Buy and Sell conditions based on the price closing above or below the upper and lower limits.
--Buy and sell conditions--
- The buy and sell conditions are defined by the price going above/below the upper and lower limits, calculated by (TEWMA +/- multi * ATR).
- When this goes on the opposite direction of the current trend, the trend changes. If this goes in the same direction of the current trend, the line follows the price by moving up.
- When price gets closer to the limits the limits do not change. The upper limit only moves when the upper decreases, and the lower limit only moves when the lower increases.
- The ATR gets subtracted from the lows or added onto the highs to eliminate false signals in choppy markets, while enforcing fast entries and exits.
--Features and Parameters--
- Allows the usage of different sources
- Allows the changing of the length of the ATR
- Allows the changing of the length of the TEWMA
- Allows the changing of the multiplier to increase or decrease ATR usage
--Details--
This script is using TEWMA as input for the modified Supertrend. Using a TEWMA and getting a higher multiplier to the ATR is meant to decrease false signals. Which can be a problem when using a normal Supertrend. Using the TEWMA also ensures fast entries and exits from fast market moves after a calm period. Ensuring you don't stay left behind.
Be aware that lowering the multiplier for the ATR will allow for faster entries and exits but also allow for more false signals. It is recommended to change the parameters to fit your liking and to adjust to the timeframe you are working on.
Enjoy!
Quantile Regression Bands [BackQuant]Quantile Regression Bands
Tail-aware trend channeling built from quantiles of real errors, not just standard deviations.
What it does
This indicator fits a simple linear trend over a rolling lookback and then measures how price has actually deviated from that trend during the window. It then places two pairs of bands at user-chosen quantiles of those deviations (inner and outer). Because bands are based on empirical quantiles rather than a symmetric standard deviation, they adapt to skewed and fat-tailed behaviour and often hug price better in trending or asymmetric markets.
Why “quantile” bands instead of Bollinger-style bands?
Bollinger Bands assume a (roughly) symmetric spread around the mean; quantiles don’t—upper and lower bands can sit at different distances if the error distribution is skewed.
Quantiles are robust to outliers; a single shock won’t inflate the bands for many bars.
You can choose tails precisely (e.g., 1%/99% or 5%/95%) to match your risk appetite.
How it works (intuitive)
Center line — a rolling linear regression approximates the local trend.
Residuals — for each bar in the lookback, the indicator looks at the gap between actual price and where the line “expected” price to be.
Quantiles — those gaps are sorted; you select which percentiles become your inner/outer offsets.
Bands — the chosen quantile offsets are added to the current end of the regression line to draw parallel support/resistance rails.
Smoothing — a light EMA can be applied to reduce jitter in the line and bands.
What you see
Center (linear regression) line (optional).
Inner quantile bands (e.g., 25th/75th) with optional translucent fill.
Outer quantile bands (e.g., 1st/99th) with a multi-step gradient to visualise “tail zones.”
Optional bar coloring: bars trend-colored by whether price is rising above or falling below the center line.
Alerts when price crosses the outer bands (upper or lower).
How to read it
Trend & drift — the slope of the center line is your local trend. Persistent closes on the same side of the center line indicate directional drift.
Pullbacks — tags of the inner band often mark routine pullbacks within trend. Reaction back to the center line can be used for continuation entries/partials.
Tails & squeezes — outer-band touches highlight statistically rare excursions for the chosen window. Frequent outer-band activity can signal regime change or volatility expansion.
Asymmetry — if the upper band sits much further from the center than the lower (or vice versa), recent behaviour has been skewed. Trade management can be adjusted accordingly (e.g., wider take-profit upslope than downslope).
A simple trend interpretation can be derived from the bar colouring
Good use-cases
Volatility-aware mean reversion — fade moves into outer bands back toward the center when trend is flat.
Trend participation — buy pullbacks to the inner band above a rising center; flip logic for shorts below a falling center.
Risk framing — set dynamic stops/targets at quantile rails so position sizing respects recent tail behaviour rather than fixed ticks.
Inputs (quick guide)
Source — price input used for the fit (default: close).
Lookback Length — bars in the regression window and residual sample. Longer = smoother, slower bands; shorter = tighter, more reactive.
Inner/Outer Quantiles (τ) — choose your “typical” vs “tail” levels (e.g., 0.25/0.75 inner, 0.01/0.99 outer).
Show toggles — independently toggle center line, inner bands, outer bands, and their fills.
Colors & transparency — customize band and fill appearance; gradient shading highlights the tail zone.
Band Smoothing Length — small EMA on lines to reduce stair-step artefacts without meaningfully changing levels.
Bar Coloring — optional trend tint from the center line’s momentum.
Practical settings
Swing trading — Length 75–150; inner τ = 0.25/0.75, outer τ = 0.05/0.95.
Intraday — Length 50–100 for liquid futures/FX; consider 0.20/0.80 inner and 0.02/0.98 outer in high-vol assets.
Crypto — Because of fat tails, try slightly wider outers (0.01/0.99) and keep smoothing at 2–4 to tame weekend jumps.
Signal ideas
Continuation — in an uptrend, look for pullback into the lower inner band with a close back above the center as a timing cue.
Exhaustion probe — in ranges, first touch of an outer band followed by a rejection candle back inside the inner band often precedes mean-reversion swings.
Regime shift — repeated closes beyond an outer band or a sharp re-tilt in the center line can mark a new trend phase; adjust tactics (stop-following along the opposite inner band).
Alerts included
“Price Crosses Upper Outer Band” — potential overextension or breakout risk.
“Price Crosses Lower Outer Band” — potential capitulation or breakdown risk.
Notes
The fit and quantiles are computed on a fixed rolling window and do not repaint; bands update as the window moves forward.
Quantiles are based on the recent distribution; if conditions change abruptly, expect band widths and skew to adapt over the next few bars.
Parameter choices directly shape behaviour: longer windows favour stability, tighter inner quantiles increase touch frequency, and extreme outer quantiles highlight only the rarest moves.
Final thought
Quantile bands answer a simple question: “How unusual is this move given the current trend and the way price has been missing it lately?” By scoring that question with real, distribution-aware limits rather than one-size-fits-all volatility you get cleaner pullback zones in trends, more honest “extreme” tags in ranges, and a framework for risk that matches the market’s recent personality.
Fractal Model [Free+] (T-Trades)Fractal Model - Higher Timeframe Analysis Tool
Advanced higher timeframe candle visualization with T-spot identification, sweep detection, and multi-timeframe price action analysis.
Introduction:
The Fractal Model is a Pine Script indicator that provides advanced higher timeframe (HTF) candle visualization and analysis. It identifies key price action patterns including T-spots, sweep signals, and imbalance zones to help traders understand market structure across multiple timeframes.
Description:
The Fractal Model analyzes price action by creating higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. It identifies specific price action patterns that often precede significant moves, including T-spot formations, sweep confirmations, and fair value gaps.
The indicator uses logarithmic midpoint calculations and pivot detection algorithms to identify high-probability entry and exit points. It automatically detects appropriate higher timeframes based on your current chart timeframe and provides real-time analysis of price action patterns.
Key Features:
Higher Timeframe Candle Visualization: Automatically creates higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. Supports up to 6 different HTF levels with automatic timeframe detection.
T-Spot Identification: Identifies T-spot formations using logarithmic midpoint calculations. T-spots mark areas where price is likely to form wicks based on specific price action patterns including sweep conditions and close position analysis.
Sweep Detection: Detects when price sweeps previous highs or lows but closes on the opposite side, creating potential reversal zones. Includes both high sweeps and low sweeps with visual confirmation lines.
Fair Value Gap (FVG) Detection: Identifies gaps between candle ranges where price didn't trade, creating potential support/resistance zones. Uses three-candle pattern analysis to detect imbalance areas.
Volume Imbalance Detection: Identifies areas where price action shows volume imbalance between consecutive candles, indicating potential continuation or reversal zones.
T-Spot Sweep Confirmation: Advanced confirmation system that requires pivot formation before T-spot touch, then close beyond the pivot level to confirm sweep signals.
TTFM Labeling System: Dynamic labeling system that tracks setup validity with C2, C3, and C4 labels indicating different types of T-spot formations and their confirmation status.
How the Code Works:
1. Higher Timeframe Detection:
The indicator automatically determines appropriate HTF based on your current chart:
- 1m charts: 15m HTF
- 3m charts: 30m HTF
- 5m charts: 1h HTF
- 15m charts: 4h HTF
- 30m-1h charts: 1D HTF
- 4h-8h charts: 1W HTF
- 1D charts: 1M HTF
2. T-Spot Calculation Algorithm:
T-spots are identified using logarithmic midpoint calculations combined with pivot-based logic:
- Calculates log midpoint = exp((log(high) + log(low)) / 2) for wick analysis
- Identifies sweep conditions: high > prev_high AND close < prev_high (bearish) or low < prev_low AND close > prev_low (bullish)
- Creates T-spot zones based on close position relative to logarithmic midpoint
- **Core Logic**: All T-spot formations are based on pivot creation patterns where price sweeps previous levels but closes on the opposite side, creating potential reversal zones
3. Sweep Detection Logic:
The code detects sweeps using pivot analysis:
- Uses ta.pivothigh() and ta.pivotlow() with 1,2 parameters for pivot detection
- Confirms sweeps when: pivot forms before T-spot touch AND close breaks beyond pivot level
- Tracks pivot levels and bars for confirmation validation
- **Pivot-Based Foundation**: The entire system is built on pivot creation logic - T-spots form when price creates pivots by sweeping previous levels but closing opposite, indicating potential reversal points
4. Fair Value Gap Detection:
FVG identification uses three-candle pattern analysis:
- Candle1.l > Candle2.h AND min(Candle1.o, Candle1.c) > max(Candle2.o, Candle2.c) for bullish FVG
- Candle1.h < Candle2.l AND max(Candle1.o, Candle1.c) < min(Candle2.o, Candle2.c) for bearish FVG
5. Visual Rendering System:
Uses array-based object management:
- Clears and redraws all visual elements on each bar
- Manages HTF candles, T-spots, sweeps, and labels using separate arrays
- Implements cleanup logic to prevent memory overflow
6. Pivot-Based T-Spot Types:
The indicator identifies several T-spot patterns based on pivot creation:
- **Standard T-Spots**: Price sweeps previous high/low but closes opposite, creating pivot
- **Expansive T-Spots**: Previous candle sweeps, current candle expands and closes beyond sweep level
- **Pro-trend T-Spots**: Price sweeps logarithmic midpoint but closes beyond previous levels
- **Silver T-Spots**: Special T-spots during specific market hours (4th-5th candle of day)
- All patterns require pivot formation through sweep-and-close logic for validation
Usage Guidance:
Add the Fractal Model indicator to your TradingView chart
Configure HTF settings and T-spot bias preferences
Adjust visual customization options to match your trading style
Monitor T-spot formations and sweep confirmations for entry signals
Trading Applications:
T-Spot Trading:
- Look for T-spot formations on higher timeframes
- Wait for price to touch T-spot levels
- Enter on sweep confirmation with proper pivot validation
- Use T-spot levels as support/resistance zones
Sweep Trading:
- Identify sweep patterns where price breaks previous highs/lows but closes opposite
- Use sweep levels as potential reversal zones
- Combine with T-spot analysis for higher probability setups
Fair Value Gap Trading:
- Trade FVG fills as price returns to imbalance areas
- Use FVG levels as support/resistance zones
- Combine with higher timeframe structure for context
Technical Specifications:
- Compatible with Pine Script v6
- Non-repainting indicator
- Supports all timeframes with automatic HTF detection
- Memory-efficient array management
- Real-time T-spot and sweep detection
- Customizable visual elements and colors
Disclaimer:
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions.
Multi-Timeframe EMA Analysis SuiteThis comprehensive multi-timeframe moving average analysis tool provides systematic trend evaluation across five configurable timeframes with advanced kernel regression envelope technology for dynamic boundary detection.
Core Innovation - Multi-Timeframe EMA System:
The primary functionality displays multiple exponential moving averages (9, 21, 30, 50, 100, 200), weighted moving average (14), and simple moving average (200) across customizable timeframes including 1H, 4H, Daily, Weekly, and Monthly periods. Each timeframe and moving average can be individually enabled or disabled based on analysis requirements.
Advanced Features:
Intelligent label positioning algorithms with automatic overlap prevention across multiple timeframes
Dynamic offset calculation maintaining readability when price levels converge
Comprehensive data table displaying all moving average values with color-coded formatting
Real-time market status evaluation categorizing conditions from "Strong Bullish" to "Strong Bearish"
Performance-optimized rendering with adjustable detail controls
Technical Implementation:
Built using Pine Script v6 with optimized multi-timeframe security requests through tuple-based data retrieval
The system implements efficient memory management and dynamic table systems for responsive chart performance during complex multi-timeframe calculations
Original developments include intelligent label spacing algorithms, dynamic offset management across timeframes, and comprehensive market status evaluation logic using moving average alignment principles
Enhanced Envelope System:
Incorporates and significantly extends the kernel regression envelope concept originally developed by LuxAlgo in their Nadaraya-Watson Envelope indicator. The mathematical foundation uses Gaussian weighting functions with substantial implementation improvements:
Complete redesign using optimized polyline rendering system for superior performance
Addition of center line calculation and visualization not present in the original
Performance optimization controls with adjustable detail levels
Enhanced label management with real-time value displays
Seamless integration with multi-timeframe analysis capabilities
Configuration Options:
Complete customization including timeframe selection, moving average lengths, envelope parameters, label positioning, table sizing, and visual styling. Users can create personalized analysis setups tailored to specific trading timeframes and analytical preferences.
Practical Applications:
Suitable for trend confirmation across multiple timeframes, identification of dynamic support and resistance levels, multi-timeframe market structure analysis, and systematic market direction evaluation
The combination of traditional moving averages with adaptive envelope boundaries provides both classical technical analysis and modern algorithmic boundary detection
Usage Instructions:
Enable desired timeframes and moving averages based on your analysis period
The envelope provides dynamic support/resistance levels while moving averages indicate directional bias. Use repainting mode for current analysis or non-repainting mode for consistent historical signals. Adjust performance settings based on system requirements and analysis detail needs
Educational Purpose:
This indicator is designed for educational and analytical purposes. Users should conduct thorough testing and validation before incorporating this tool into trading decisions.
Euler-Lagrange Bands [AGP] Ver.1.0Euler-Lagrange Bands : A Modern Approach to Volatility and Trend Analysis
indicator is an innovative technical analysis tool that uses a Kalman Filter to create dynamic and price-sensitive volatility bands. Unlike traditional Bollinger Bands or Keltner Channels, which rely on moving averages, this approach applies advanced engineering and mathematical principles to intelligently smooth price data. This reduces market noise and provides a clearer view of an asset's boundaries and its fair value.
Key Features
Dynamic and Smoothed Bands: The upper and lower bands adapt in real time to market volatility, offering a fluid and precise channel for identifying overbought and oversold zones.
"Fair Value" Midpoint: The indicator calculates and displays a midpoint that serves as a "fair value" reference. This is crucial for assessing whether the current price is over- or undervalued.
Multidimensional Analysis: It integrates with RSI and volume analysis to provide a comprehensive market view. The floating RSI and volume labels change color, offering quick and effective visual alerts.
Clear Visual Signals: The indicator draws shapes on the chart to mark band crosses, potential reversals, and trend confirmations. Additionally, the candlestick color changes to indicate whether the price is above or below the midpoint.
Real-Time Information Panel: A table in the top corner displays the exact values of the bands and the midpoint, giving you all the crucial information at a glance without cluttering the chart. The table's cell colors also change to alert you to price crosses.
Logic and Adjustments
The elb_process_noise and elb_measurement_noise values are fixed in this code to optimize band performance.
The only parameter the user can change from the indicator's settings in TradingView is length_periods, which allows for adjusting the bands' lookback period without altering the algorithm's sophisticated filtering logic.
The default values have been selected to provide an optimal balance between the indicator's stability and responsiveness, aiming to avoid false signals and ensure accurate market tracking.
How to Use It
This indicator is ideal for traders looking for a more sophisticated alternative to conventional volatility bands. It can be used to:
Identify an asset's price range.
Detect potential reversals when the price reaches or crosses the bands.
Confirm trend strength with volume and RSI analysis.
Make decisions based on the price's relationship to its "Fair Value."
Disclaimer
WARNING: This indicator is provided for educational and technical analysis purposes only. It does not constitute, and should not be interpreted as, financial advice. The buying and selling of financial instruments involve significant risk, and losses may exceed deposits. The past performance of any indicator or strategy is not a guarantee of future results. Users must conduct their own research, exercise due diligence, and consider their personal financial situation before making any investment decisions. The code's creator is not responsible for any losses or damages that may arise from the use of this indicator.
RSI by Tamil harmonic trader rajRSI indicator - will display RSI value in the middle right chart as per timeframe
Contract Interest Turnover T3 [T69]Overview
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Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential).
Features
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- Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView.
- Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close.
- Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise.
- Status-line readouts: Displays normalized Volume and OI values for quick sanity checks.
- Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls.
How to Use
----------
1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists).
2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping.
3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual.
Configuration
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- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
---------------------------------
- Fetch OI
oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true.
If none is found, the script throws a clear runtime error.
- Normalize to price
vol_norm = volume / close
oi_norm = oiClose / close
This converts both to a common notional basis so their ratio is meaningful even as price changes.
- Turnover Rate
turnover = vol_norm / oi_norm
Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold.
Why Open Interest ≈ “Float” Proxy
---------------------------------
In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period.
Why Normalize by Price
----------------------
Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close:
- Puts them on a comparable notional footing.
- Prevents false spikes purely from price moves.
- Makes Turnover comparable across time even as price trends.
Advanced Tips
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- Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat.
- Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn.
- Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential.
Limitations
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- Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out.
- Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution.
- Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes.
Notes
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- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
------
- Concept & data: Built for TradingView data feeds.
- Acknowledgment: Credit to TradingView default indicator as requested.
- Source: This write-up reflects the logic present in your uploaded script.
Disclaimer
----------
Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
RSI OB/OSRSI OB/OS Signals indicator
The RSI OB/OS Signals indicator is an analysis and training tool that uses simple statistical learning (rolling correlations and z-scoring) to produce a smoothed, adaptive RSI weighting and signal line intended to highlight probable short-term RSI movements. The script does not attempt black-box machine-learning model export instead, it uses transparent building blocks — returns, RSI, ATR percentage, volume change (log), and raw volume — as predictors to estimate the likely next-bar RSI, then converts that estimate into a bounded “weight” and a smoothed signal line. The objective is educational: show how simple correlation-based weighting of standardized features can serve as an RSI augmentation and help traders identify higher-probability bullish or bearish RSI cross conditions, while making all internal reasoning visible and explainable.
At its core the indicator performs three conceptual steps each bar: first it computes a set of per-bar features aligned to the target (prior bar RSI) — specifically prior-bar log returns, prior-bar RSI, ATR as percent of price, the log change in volume and the prior-bar raw volume.
Second it standardizes these predictors through rolling z-scoring and computes rolling Pearson correlations between each standardized predictor and the target RSI over a user-configurable learning window. These correlations act as signed linear weights: predictors with higher absolute correlation are treated as more informative for that window.
Third it forms a linear prediction by summing correlation × z(feature) across the top correlated predictors, then maps that standardized prediction back to RSI scale using the rolling mean and standard deviation of the target. The mapped prediction is finally converted to a bounded “rsiWeight,” smoothed by a signal moving average, and used to produce bullish/bearish events on crossovers of preconfigured thresholds.
VWAP, buy/sell volume breakdown and simple tracking of the price move since the last signal are also displayed to help traders interpret the quality of signals.
The components are chosen for clear, complementary roles rather than as a random mashup. Prior-bar RSI embodies short-term momentum and is the natural prediction target.
Log returns add price-direction information; ATR percent encodes the intrabar volatility regime (helpful because RSI behaviour differs in high vs low volatility); the volume log-change and raw volume provide a participation signal indicating whether structural moves are supported by real activity. Standardizing predictors and using rolling correlations lets the script adapt its emphasis to the current regime: when volume changes correlate strongly with subsequent RSI moves, the algorithm will weight that predictor more heavily; when returns correlate more, weight shifts accordingly. Because the method is linear, transparent and computed on rolling windows you can reproduce and reason about the weight changes — a key requirement for educational clarity and TradingView compliance.
How to read and use the indicator practically: treat the smoothed rsiWeight line (ma_rsi) and its threshold crossings as an RSI-augmentation alert — not as a standalone automated buy/sell system. A practical workflow is: first inspect the dashboard and confirm the underlying drivers (which predictors show strong z-scores and which had high rolling correlation in the learning window); second check VWAP position and volume split to ensure that the price move is supported; third only consider signals that coincide with your higher-timeframe bias or structural support/resistance.
For example, a bullish crossover (ma_rsi crossing above −0.5) that occurs while VWAP is below price, buy volume share is elevated, and ATR is moderate is a higher-quality setup than the same crossing on thin volume and extreme ATR.
Use ATR or recent swing structure for stop placement and predefine risk per trade. Because the indicator tracks max points since the last signal, you can also use that metric as a simple intraday performance monitor.
Parameter tuning guidance: the learning window (learnLen) controls how quickly the correlation weights adapt; a short window (e.g., 10–20) makes the predictor weights responsive to regime shifts but also noisier; a longer window (e.g., 40–80) smooths weights and emphasizes longer-term relationships.
The rsiLen (target RSI length) should match your intended horizon — 14 is standard and balances responsiveness and smoothness. sigLen controls the smoothing of the predicted RSI weight: lower values make the signal line more reactive (useful for scalping), higher values produce smoother signals (useful for swing trades).
For low-liquidity instruments increase learnLen and sigLen to reduce false alarms; for high-speed intra-day work shorten them. Volume heuristics (volume thresholds) are instrument dependent — calibrate volume formatting and volumetric thresholds for equities versus futures or crypto.
Limitations and failure modes are explicit and important: the feature-selection approach is linear and based on Pearson correlation — it cannot capture nonlinear dependencies or temporal lags beyond the single lag studied, so it may miss relationships that require higher-order features.
The volume split used (close>open vs closeopen vs close
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Supertrend Channel Histogram OscillatorThis histogram is based on the script "Supertrend Channels "
The idea of the indicator is to visually represent the interaction of price with several different supertrend channels of various lengths in an oscillator in order to make it much more clear to the trader how the longer trends are interacting with shorter trends of the price movement of an asset. I got this idea from the "Kurutoga Cloud" and "Kurutoga Histogram" by D7R which is based on the centerlines of 3 Donchian Channels, however after I started using the Supertrend Channel by LuxAlgo I found that it was a more reliable price range channel than a standard Donchian Channel and I made this indicator to accompany it.
This indicator plots a positive value above 0 when the price is above the centerline of the supertrend channel and a negative value below 0 when the price is below the centerline.
The first supertrend's length and multiple can be adjusted in the settings.
The given supertrend input is then doubled and quadrupled in both length and multiplication so that a supertrend histogram with the values of 3, 3 will be accompanied by 2 additional supertrend histograms with the values of 6, 6 and 12, 12.
The larger price trend histograms are clearly visible behind the short term supertrend channel's histogram, giving traders a balanced view of short and long term trends interacting. The less visible columns of the larger trend remain above or below the 0 line behind the more visible short term channel trend, helping to spot pullbacks within a larger trend.
Additionally, when the 3 separate histograms are all positive or all negative but the histogram columns are separating from each other this can indicate a potential trend exhaustion leading to reversal or pullback about to happen.
The overbought and oversold lines at 50 and -50 are representative primarily of the short term trend with above 50 or below -50 indicating that the price is pushing the boundary and potentially beginning a new short term supertrend in the opposite direction. If values do not noticably exceed these levels, then the current short term trend movement can be viewed as a pullback within a larger trend, with continuation potentially to follow.
I have had troubles converting the original code to v6 so this will be published here in v5 of pinescript to be used in conjunction with the original. I was intending to create a companion indicator for this oscillator that represents 3 supertrends with corresponding 2x and 4x calculations based on LuxAlgo's script, but I can't seem to get it to work correctly in v5.
For best visualization of the trends 3 LuxAlgo Supertrend channels with 2x and 4x values should be used in conjunction with each other to fully visualize the histogram.
Used in conjunction with other indicators this can be a very effective strategy to capture larger trend moves and pullbacks within trends, as well as warn of potential price trend exhaustion.
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool
Automatically composite multiple time periods to identify key areas of balance and market structure
What is the Composite Time Profile Overlay?
The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance.
The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action.
Why Use CTPO for Market Profile Trading?
Eliminate Manual Compositing Work
Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period.
Spot Areas of Balance Quickly
The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods.
Focus on What Matters
Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold.
How CTPO Works for Market Profile Traders
Automatic Profile Compositing
CTPO uses a proprietary algorithm that:
- Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection)
- Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation
- Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required)
- Updates composite levels as new price action develops in real-time
Key Levels for Market Profile Analysis
The indicator displays:
- Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data
- Point of Control (POC) levels where most trading occurred across all composited periods
- Composite zones representing areas of balance with configurable transparency
- 1.618 Fibonacci extensions for breakout targets based on composite range
Multiple Timeframe Support
- Sessions: For intraday market profile analysis
- Daily: For swing trading with daily profiles
- Weekly: For position trading with weekly structure
- Monthly: For long-term market profile analysis
- Auto: Automatically selects timeframe based on your chart
Trading Applications for Market Profile Users
Support and Resistance Trading
Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes.
Breakout Trading
When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades.
Mean Reversion Strategies
Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean.
Institutional Level Analysis
Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity.
Key Features for Market Profile Traders
Smart Compositing Logic
- Automatic overlap detection using price range intersection algorithms
- Configurable overlap thresholds (minimum 50% overlap required for merging)
- Dead composite identification (profiles that become engulfed by newer composites)
- Real-time updates as new price action develops using barstate.islast optimization
Visual Customization
- Customizable colors for active, broken, and dead composites
- Adjustable transparency levels for each composite state
- Premium/Discount zone highlighting based on current price vs composite range
- TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure
- Fibonacci level extensions with 1.618 target calculations based on composite range
Clean Chart Presentation
- Only shows the most relevant composite levels (maximum 10 active composites)
- Eliminates clutter from individual session profiles
- Focuses on areas of balance that matter most to current price action
Real-World Trading Examples
Day Trading with Session Composites
Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies.
Swing Trading with Daily Composites
Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets.
Position Trading with Weekly Composites
Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years.
Risk Management
Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions.
Why Composite Levels Work
Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies.
The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels.
Technical Foundation
The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations.
How the Code Actually Works
1. Period Detection and ATR Calculation
The code first determines the appropriate timeframe based on your chart:
- 1m-5m charts: Session-based profiles
- 15m-2h charts: Daily profiles
- 4h charts: Weekly profiles
- 1D charts: Monthly profiles
For each period type, it calculates the number of bars needed for ATR calculation:
- Sessions: 540 minutes divided by chart timeframe
- Daily: 1440 minutes divided by chart timeframe
- Weekly: 7 days worth of minutes divided by chart timeframe
- Monthly: 30 days worth of minutes divided by chart timeframe
2. C2M Row Size Calculation
The code calculates True Range for each bar in the determined period:
- True Range = max(high-low, |high-prevClose|, |low-prevClose|)
- Averages all True Range values to get ATR
- Row Size = (ATR / 10) converted to tick size
- This ensures each TPO row represents a meaningful price movement
3. TPO Profile Generation
For each period, the code:
- Creates price levels from lowest to highest price in the range
- Each level is separated by the calculated row size
- Counts how many bars touch each price level (TPO count)
- Finds the level with highest count = Point of Control (POC)
- Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included
4. Overlap Detection Algorithm
When a new profile is created, the code checks if it overlaps with existing composites:
- Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL)
- Calculates current profile range = currentVAH - currentVAL
- Overlap percentage = (overlap range / current profile range) * 100
- If overlap >= 50%, profiles are merged into a composite
5. Composite Merging Logic
When profiles overlap, the code creates a new composite by:
- Taking the earliest start bar and latest end bar
- Using the wider VAH/VAL range (max of both profiles)
- Keeping the POC from the profile with more TPO blocks
- Marking the composite as "active" until price breaks through
6. Real-Time Updates
The code uses barstate.islast to optimize performance:
- Only recalculates on the last bar of each period
- Updates active composite with live price action if enabled
- Cleans up old composites to prevent memory issues
- Redraws all visual elements from scratch each bar
7. Visual Rendering System
The code uses arrays to manage drawing objects:
- Clears all lines/boxes arrays on every bar
- Iterates through composites array to redraw everything
- Uses different colors for active, broken, and dead composites
- Calculates 1.618 Fibonacci extensions for broken composites
Getting Started with CTPO
Step 1: Choose Your Timeframe
Select the period type that matches your trading style:
- Use "Sessions" for day trading
- Use "Daily" for swing trading
- Use "Weekly" for position trading
- Use "Auto" to let the indicator choose based on your chart timeframe
Step 2: Customize the Display
Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis.
Step 3: Identify Key Levels
Look for:
- Composite zones (blue boxes) - major areas of balance
- VAH/VAL lines - value area boundaries
- POC lines - areas of highest trading activity
- 1.618 extension lines - breakout targets
Step 4: Develop Your Strategy
Use these levels to:
- Set entry points near composite zones
- Place stop losses beyond composite levels
- Take profits at 1.618 extension levels
- Identify trend changes when major composites break
Perfect for Market Profile Traders
If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most.
The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed.
Streamline Your Market Profile Analysis
Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter.
Ready to Streamline Your Market Profile Trading?
Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
CQ_Historical Candle Color Changer🎯 Purpose
This indicator visually distinguishes candles based on how old they are—specifically within a user-defined range (e.g., 1 to 7 days old). It helps traders quickly isolate recent price action from older data, making it easier to interpret overlays like moving averages, volume profiles, or momentum indicators.
⚙️ Key Features
- User-Defined Age Range: Set minimum and maximum age in days (e.g., highlight candles that are 1–7 days old).
- Custom Colors: Choose highlight colors for candles within the range.
- Timeframe Awareness: Works across any chart timeframe (1m, 1h, 1D, etc.), calculating candle age based on actual time elapsed.
- Non-Intrusive Display: Candles outside the range retain their default appearance, preserving overall chart readability.
📐 How It Works
- The script calculates the age of each candle by comparing its timestamp to the current time.
- If the candle falls within the user-defined age range, it’s recolored using the selected style.
- Candles older or newer than the range are left untouched.
🧠 Use Cases
- Trend Isolation: Focus on recent price action without losing sight of broader context.
Algorithmic Kalman Filter [CRYPTIK1]Price action is chaos. Markets are driven by high-frequency algorithms, emotional reactions, and raw speculation, creating a constant stream of noise that obscures the true underlying trend. A simple moving average is too slow, too primitive to navigate this environment effectively. It lags, it gets chopped up, and it fails when you need it most.
This script implements an Algorithmic Kalman Filter (AKF), a sophisticated signal processing algorithm adapted from aerospace and robotic guidance systems. Its purpose is singular: to strip away market noise and provide a hyper-adaptive, self-correcting estimate of an asset's true trajectory.
The Concept: An Adaptive Intelligence
Unlike a moving average that mindlessly averages past data, the Kalman Filter operates on a two-step principle: Predict and Update.
Predict: On each new bar, the filter makes a prediction of the true price based on its previous state.
Update: It then measures the error between its prediction and the actual closing price. It uses this error to intelligently correct its estimate, learning from its mistakes in real-time.
The result is a flawlessly smooth line that adapts to volatility. It remains stable during chop and reacts swiftly to new trends, giving you a crystal-clear view of the market's real intention.
How to Wield the Filter: The Core Settings
The power of the AKF lies in its two tuning parameters, which allow you to calibrate the filter's "brain" to any asset or timeframe.
Process Noise (Q) - Responsiveness: This controls how much you expect the true trend to change.
A higher Q value makes the filter more sensitive and responsive to recent price action. Use this for highly volatile assets or lower timeframes.
A lower Q value makes the filter smoother and more stable, trusting that the underlying trend is slow-moving. Use this for higher timeframes or ranging markets.
Measurement Noise (R) - Smoothness: This controls how much you trust the incoming price data.
A higher R value tells the filter that the price is extremely noisy and to be more skeptical. This results in a much smoother, slower-moving line.
A lower R value tells the filter to trust the price data more, resulting in a line that tracks price more closely.
The interaction between Q and R is what gives the filter its power. The default settings provide a solid baseline, but a true operator will fine-tune these to perfectly match the rhythm of their chosen market.
Tactical Application
The AKF is not just a line; it's a complete framework for viewing the market.
Trend Identification: The primary signal. The filter's color code provides an unambiguous definition of the trend. Teal for an uptrend, Pink for a downtrend. No more guesswork.
Dynamic Support & Resistance: The filter itself acts as a dynamic level. Watch for price to pull back and find support on a rising (Teal) filter in an uptrend, or to be rejected by a falling (Pink) filter in a downtrend.
A Higher-Order Filter: Use the AKF's trend state to filter signals from your primary strategy. For example, only take long signals when the AKF is Teal. This single rule can dramatically reduce noise and eliminate low-probability trades.
This is a professional-grade tool for traders who are serious about gaining a statistical edge. Ditch the lagging averages. Extract the signal from the noise.
TCI Key Institutional Levels v2.0This script is a modified version of the Smart Money Concepts (SMC) framework originally published by LuxAlgo here: Smart Money Concepts – LuxAlgo
.
All credit and ownership of the original code goes to LuxAlgo.
Original indicator Credits:
The purpose of this publication is not to copy-paste the LuxAlgo indicator, but to present a modified version adapted in line with the concepts taught by Trading Cafe India (TCI).
These modifications include adjustments and refinements to better reflect the methodology followed by TCI, while still acknowledging the foundation laid by LuxAlgo.
⚠️ Important Notes:
This script is not an official LuxAlgo product.
This script is not an official TCI product.
This pretty much aligns with the TCI theory.
It is an independent, educational adaptation created for users who wish to see SMC concepts in the context of TCI-style modifications.
The modifications are original contributions and the script has been republished with the intention of providing additional learning value to the TradingView community.
By publishing this indicator, I fully respect and acknowledge the original author (LuxAlgo), while making clear that the changes applied are my own interpretation of SMC principles influenced by TCI’s teachings.
🔧 Key Functionalities & Modifications
Market Structure Labels
The standard Break of Structure (BOS) is now presented as Breaker, aligning with TCI’s interpretation.
The standard Change of Character (CHoCH) is now presented as Trap, reflecting how false moves and liquidity traps are often observed in Indian indices like Nifty & Bank Nifty.
Order Block & Liquidity Concepts
Retains core order block, supply-demand, and liquidity zone logic from the SMC framework.
Visuals and labels have been adjusted for easier interpretation by intraday traders in Indian markets.
Custom Adaptation for Indian Audience
Naming conventions and alerts have been optimized so beginners and experienced traders in India can relate to the terminology taught by TCI.
Chart annotations have been simplified to reduce clutter, making it more practical for real-time option trading and scalping strategies.
A+ 0DTE Signal Suite [VWAP/EMA/SR/Volume] By Delta Surge
# What the indicator actually does (quick decode)
* **Bias (15-min):** Price vs VWAP and 13EMA vs 48EMA on 15m.
* **Entry engines:** recent **reclaim/reject** of VWAP/EMA13, **ORB-15** break/retest, **PDH/PDL** reclaim/break, **AVWAP-open** reclaim/reject, **inside-15** break, **squeeze release**, **liquidity sweep + reclaim**, **Delta Surge** (big candle + vol spike).
* **Score → Stars:** more confluence = higher score → ★–★★★★★.
* **Arrows/labels:** ▲/▼ and “BUY CALLS/PUTS + stars”.
* **Stops/Targets:** stop = min(VWAP, EMA13) for calls / max(VWAP, EMA13) for puts. The script marks **1R/2R** (risk multiples) and shows a small **EXIT?** hint if price gives up the “mean”.
> Translation: wait for **trend + reclaim + volume**, take the high-star signals, manage with R-multiples.
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# Default settings that work well
**Timeframe:** 5-minute for decisions (1–3m only if you’re scalping); leave the 15-minute bias on.
**Inputs to keep ON:** ORB-15, PDH/PDL, AVWAP from open, Delta Surge, Squeeze (optional on very choppy days).
**Star gate:** set **Minimum Score** to **4–5** and only act on **★★★ or higher**.
**Session windows:** ON to avoid lunch chop (already in the script).
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# Symbol-specific setup
## QQQ
* **Leader:** turn ON **Require Leader Confirm**
**Leader Symbol:** `CME_MINI:NQ1!` (fallback: `NASDAQ:NDX` or `AMEX:QQQ` if no futures)
**Leader TF:** 3m or 5m
* **Vol filter:** use **VXN** instead of VIX if you want (set `vixSymbol = "CBOE:VXN"` and turn ON Require VIX).
* **RVOL threshold:** **1.10–1.25**.
* **Minimum workable R (1R distance):** **0.8–1.2 QQQ points**.
* **Room check (eyeball):** to next S/R/ORB level ≥ **1.5R**.
## SPY
* **Leader:** `CME_MINI:ES1!` ON, 3–5m.
* **Vol filter:** VIX.
* **RVOL:** **1.10–1.30**.
* **Min 1R:** **0.5–0.8 SPY points**.
## SPX
* **Leader:** `CME_MINI:ES1!` ON, 3–5m.
* **Vol filter:** VIX.
* **RVOL:** **1.20–1.35** (0DTE needs juice).
* **Min 1R:** **8–12 SPX points** (quiet vs active).
* **Pro tip:** avoid signals if 15-min ATR < **2 × your R**.
## TSLA
* **Leader (optional):** QQQ (`AMEX:QQQ`) or NQ futures (`CME_MINI:NQ1!`) — pick one and keep it consistent.
* **Vol filter:** usually OFF (TSLA has its own tape), but you can keep it on VIX if you like.
* **RVOL:** **1.10–1.30**.
* **Min 1R:** **1.5–3.0 TSLA points**, or at least **¼ of 15-min ATR**.
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# When to take the trade (entry checklist)
Only act when MOST boxes are checked:
1. **Trend/Bias:** 15-min bias agrees with your side (bull for calls, bear for puts).
2. **Fresh trigger:** a **reclaim/reject** or **ORB-15 retest** happened within `winBars` (default 3 bars).
3. **Location:** entry is **near VWAP/EMA13** (not in the middle of nowhere) OR it’s a proper **retest** of ORB/PDH/PDL/AVWAP.
4. **Volume:** RVOL ≥ your threshold; Delta Surge helps.
5. **Room:** at least **1.5R** to the next obvious level.
6. **Stars:** **★★★+** (ideally ★★★★/★★★★★).
7. **Leader confirms:** ON and aligned (NQ for QQQ, ES for SPY/SPX, QQQ/NQ for TSLA).
8. **Time of day:** opening drive (first 90m) or power hour; avoid mid-day unless RVOL is strong.
> **Entry:** on the printed **▲/▼** bar close (or the retest candle), set stop at min/max(VWAP, EMA13) as the script implies.
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# How to manage it
* **Position size by R:** choose a dollar risk; contracts = dollar risk ÷ (R × option delta).
* **1R:** take **partial** at **1R**, move stop to **breakeven**.
* **2R:** scale more or flat the rest near 2R or the next HTF level.
* **Mean exit:** if the orange **EXIT?** prints before 1R, consider bailing or reducing.
**Option selection (0DTE):**
* Expect a drive? pick **0.45–0.55 delta**.
* Expect a grind up after reclaim? **0.30–0.40 delta**.
* If spread is ugly, step out a strike or use next-day expiry.
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# Reading the signals (plain English)
* **BUY CALLS (▲) + stars:** bullish setup with confluence. More stars = more factors aligned.
* **BUY PUTS (▼) + stars:** bearish setup with confluence.
* **CALL/PUT 1R, 2R:** price hit +1× or +2× your initial risk.
* **CALL/PUT EXIT?**: momentum gave up (price crossed back through the stop reference).
---
# High-probability patterns to favor
1. **Reclaim + Retest + RVOL:** close above VWAP/EMA13, then a small pullback tags a level and holds — ★★★★+ often.
2. **ORB-15 break & retest with RVOL:** especially after a tight inside pre-market; take the retest.
3. **Squeeze release in bias direction:** first expansion bar with RVOL.
4. **Sweep + reclaim at a key HTF level:** wick below prior swing low then fast reclaim above VWAP/EMA13.
**Avoid:** counter-bias signals at noon, signals into a level sitting <1R away, or signals without RVOL.
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# Suggested starting presets
* **QQQ:** minScore 4–5, rvThresh 1.15, Leader ON (`NQ1!`), VXN optional, act on **★★★+** only.
* **SPY:** minScore 4, rvThresh 1.15–1.25, Leader ON (`ES1!`), VIX ON, **★★★+**.
* **SPX:** minScore 5, rvThresh 1.25–1.35, Leader ON (`ES1!`), VIX ON, **★★★★+** only.
* **TSLA:** minScore 4–5, rvThresh 1.15–1.30, Leader ON (`QQQ` or `NQ1!`), **★★★+**.
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# Routine for a “10/10” day (as close as trading gets)
1. **Pre-market:** mark PDH/PDL, pre-market high/low, overnight high/low (futures), and any daily SR boxes you trust.
2. **First 15m:** let ORB form; look for reclaim/reject + RVOL alignment; take ★★★★+ with room.
3. **Middle:** trade only if RVOL stays ≥ threshold and signal is at a level (retest).
4. **Power hour:** bias still intact? take the next ★★★★+ retest with room.
5. **Log it:** screenshot entry, R math, and whether 1R/2R printed; refine thresholds per symbol.
---
> No indicator can guarantee 10/10 winners—what this suite does is **stack edges** and make entries/exits **mechanical**. If you stick to bias + reclaim/retest + RVOL + stars + room, and manage by R, you’ll filter most of the low-odds trades and keep yourself on the strong ones.
Custom Strategy Builder [CLAMENZA] i changed this indicator to make the market session lines thicker and font bigger as well.
Refic PackRefic Pack - Session Highs/Lows & Fair Value Gaps
A comprehensive trading tool that combines session-based analysis with Fair Value Gap (FVG) detection across multiple market sessions. This indicator highlights key trading zones and inefficiencies during:
Asia Session (1:00-2:00 AM London time)
London AM (8:00-9:00 AM London time)
New York AM (2:30-3:30 PM London time)
New York PM (6:30-7:30 PM London time)
Features:
Color-coded session backgrounds for easy identification
Automatic detection of the first Fair Value Gap in each session
Customizable FVG box colors, borders, and extension length
Session high/low tracking for key support/resistance levels
Clean visual presentation with manageable box limits
Perfect for traders who focus on session-based strategies, institutional order flow, and price inefficiency trading. Works on all timeframes and helps identify high-probability reversal and continuation zones during key market hours.
