Joe Best EMAMoney Beast EMA Cross-Over with TP settings that can help track the market trend on all timeframes no matter whether you are a scalper, Day trader or Swing trader this has been modified to cater for all category traders bst usage for price action traders
Candlestick analysis
Twin Range Filter V2 – Buy/Sell Signals📊 Indicator Name: Twin Range Filter – Buy/Sell Signals
📝 Description:
The Twin Range Filter is a trend-following indicator that combines two adaptive volatility filters to identify potential market reversals and trend continuations. It uses two configurable smoothing periods (fast and slow) to calculate a dynamic range around price, filtering out market noise and highlighting meaningful shifts in direction.
This indicator plots BUY and SELL signals based on price action in relation to the range filter, as well as internal trend conditions.
✅ How It Works:
Long Signal (BUY) is triggered when:
Price is above the filtered range (showing strength), and
Short-term upward momentum is confirmed.
Short Signal (SELL) is triggered when:
Price is below the filtered range (showing weakness), and
Short-term downward momentum is confirmed.
The signals are highlighted using green "Long" and red "Short" labels on the chart.
Background colors reinforce the current directional bias.
⚙️ Inputs:
Fast Period & Range: Adjust sensitivity of the fast range filter.
Slow Period & Range: Adjust smoothing of the slow range filter.
Source: Choose which price to base calculations on (e.g., Close, Open, HL2, etc.)
🔔 Alerts:
Long Signal – A new BUY condition has been detected.
Short Signal – A new SELL condition has been detected.
📌 Use Cases:
Entry timing for swing or intraday trades
Trend confirmation filter
Signal generator in automated strategies (when paired with a strategy scrip
Nifty 500 Scanner
Nifty 500 Scanner
Your Ultimate TradingView Tool for Swing and Intraday Trading
🔥 Introduction
✅ If you want to find out which stock out of 500 stocks of Nifty500 is:
showing reversal pattern candles after a long down or up trend
also bouncing from support/resistance
and that stock gives you live alerts when this condition occurs
Then, look no further. Nifty500 Scanner is just for you.
📊 What is the Nifty 500 Scanner?
The Nifty 500 Scanner is a powerful TradingView indicator for Indian stocks designed to help you identify bullish and bearish reversal signals across all timeframes. Whether you are an intraday trader or a swing trader, this tool gives you an edge by scanning predefined groups of Nifty 500 stocks and visually showing you high-probability setups.
🔥 Key Features
Scans all Nifty 500 stocks in batches of 25 (20 groups in total). Takes less than 10 minutes to select bearish or bullish reversal stocks out of 500 stocks.
Detects over 50 advanced candlestick patterns, divergences, and trend changes in one go in all the selected stocks and displays result right on your chart in the form of a table.
Auto-populated real-time table display with signal count and color-coded results.
TradingView alerts for instant notification of reversal setups.
Shows key support and resistance levels for each stock.
Fully compatible with all timeframes – from 1 minutes to monthly chart.
✅ Why Traders Would Love It?
Eliminates manual chart scanning – saves hours every week.
Improves trade accuracy by filtering out weak setups.
Instantly tells you which stocks to trade tomorrow (if using after market hours)
Built for Indian market conditions and TradingView users.
⚙️ How It Works?
Select a stock group from the dropdown menu (Available in indicator settings).
Suppose you select Group1 and press OK, voila.. the scanner automatically runs through 25 predefined Nifty 500 stocks and updates the table in quick time.
The table shows which stocks are giving bullish or bearish signals and also tells you how many such signals are there. The more signals, the more conviction for upcoming reversal.
Open chart of any stock mentioned in the table to have a detailed look.
The chart will show you a consolidation zone, support/resistance lines automatically.
Set up alerts for your favorite stocks and let TradingView notify you when new signals emerge for that particular stock.
📌 Important Notes
Stock groups are hard-coded into the script and cannot be modified by the user.
Custom versions for other countries or indices (e.g., S&P 500, FTSE) can be created upon request.
🔍 Optimized For
Swing traders and intraday traders seeking high-probability setups.
Technical analysts using TradingView to analyze Indian stock charts.
Traders looking for an advanced reversal signal scanner.
🚀 Ready to Trade Smarter?
Start using the Nifty 500 Scanner on TradingView and never miss a reversal signal again.
Get Access Now.
Twin Range Filter – Buy/Sell SignalsThe Twin Range Filter is a trend-following indicator that combines two adaptive volatility filters to identify potential market reversals and trend continuations. It uses two configurable smoothing periods (fast and slow) to calculate a dynamic range around price, filtering out market noise and highlighting meaningful shifts in direction.
This indicator plots BUY and SELL signals based on price action in relation to the range filter, as well as internal trend conditions.
✅ How It Works:
Long Signal (BUY) is triggered when:
Price is above the filtered range (showing strength), and
Short-term upward momentum is confirmed.
Short Signal (SELL) is triggered when:
Price is below the filtered range (showing weakness), and
Short-term downward momentum is confirmed.
The signals are highlighted using green "Long" and red "Short" labels on the chart.
Background colors reinforce the current directional bias.
🔔 Alerts:
Long Signal – A new BUY condition has been detected.
Short Signal – A new SELL condition has been detected.
📌 Use Cases:
Entry timing for swing or intraday trades
Trend confirmation filter
Signal generator in automated strategies (when paired with a strategy script)
DAX Inducere Simplă v1.3 – Confirmare InducereDAX Inducere Simplă v1.3 – Confirmare Inducere ,signals before fvg mss and displacement
Multi-Session Levels + EMA Crosses + TP Calculator (GBP/USD)# Multi-Session Levels + EMA Crosses + TP Calculator
## 📋 Description
**Advanced trading indicator combining multi-session analysis, EMA cross validation, and automated Take Profit calculations for Forex markets.**
This comprehensive tool integrates session-based level analysis with validated EMA crossovers and intelligent TP calculations, designed specifically for serious traders who need precise entry signals with calculated exit strategies.
## 🎯 Key Features
### 📊 **Multi-Session Analysis**
- **Asian Session (6PM-1AM Mexico)**: Generates key support/resistance levels
- **London Session (1AM-6AM Mexico)**: Analyzes manipulation patterns
- **New York Session (8AM-4PM Mexico)**: Dynamic levels with trend confirmation
- **AMD Setup Detection**: Combines all sessions for high-probability setups
### 📈 **Advanced EMA System**
- **4 EMAs**: 8, 13, 21, and 55 periods with visual display
- **Validated Crossovers**: EMA 8 vs EMA 13 with multiple confirmations
- **Smart Filtering**: Only shows signals during optimal trading hours (6AM-12PM Mexico)
### ✅ **Triple Validation System**
- **MACD Confirmation**: Histogram strength + signal line position + momentum direction
- **RSI Filter**: Overbought/oversold levels with moving average confirmation
- **Squeeze Momentum**: Bollinger Bands vs Keltner Channels compression detection
### 💰 **Intelligent TP Calculator**
- **ADR-Based Targets**: Uses Average Daily Range for realistic profit expectations
- **ATR Multipliers**: Conservative (1.5x), Aggressive (2.5x), Very Aggressive (3.5x)
- **Session-Aware**: Considers already-traveled distance in NY session
- **Real-Time Table**: Live pip calculations for all TP levels
- **Visual Levels**: Automatic TP lines drawn on chart with color coding
### 🚨 **Smart Alert System**
- **Validated Signals Only**: Alerts trigger only when ALL confirmations align
- **TP Integration**: Alerts include suggested take profit levels
- **Non-Validated Tracking**: Shows basic crosses that don't meet full criteria
## 📐 **Technical Calculations**
### **ADR (Average Daily Range)**
- 20-period average of daily high-low ranges
- Converted to pips for easy interpretation
- Used for percentage-based TP targets (50%, 75%, 100% of ADR)
### **ATR (Average True Range)**
- 14-period ATR from H1 timeframe (configurable)
- Accounts for gaps and volatility
- Base for multiplier-based TP levels
### **Session Tracking**
- Real-time monitoring of NY session range
- Calculates remaining potential movement
- Optimizes TP placement based on session progress
## 🎨 **Visual Elements**
### **Chart Levels**
- **Orange Lines**: Asian and London session levels
- **White/Green/Red Lines**: NY session levels (color changes with trend direction)
- **TP Lines**: Color-coded take profit levels with different styles
### **EMA Display**
- **Blue**: EMA 8 (fastest)
- **Green**: EMA 13 (signal line)
- **Yellow**: EMA 21 (trend filter)
- **Red**: EMA 55 (major trend)
### **Signal Shapes**
- **Bright Triangles**: Fully validated signals
- **Faded Triangles**: Non-validated basic crosses
- **Size Variation**: Signal strength indication
## 📊 **Information Table**
Real-time display showing:
- **TP Levels**: All calculated take profit targets in pips
- **Session Data**: NY range already traveled vs average
- **Volatility Metrics**: Current ATR and ADR values
- **Clean Design**: Easy-to-read format with color coding
## ⚙️ **Customization Options**
### **Session Times**
- Fully configurable session times
- Mexico City timezone support
- Enable/disable individual session analysis
### **Validation Controls**
- Toggle MACD, RSI, Squeeze validation independently
- Adjust RSI overbought/oversold levels
- Customize MACD and Squeeze parameters
### **Display Options**
- Show/hide EMAs, crosses, TP levels, table
- Customize TP calculation periods (ADR, ATR)
- Choose ATR timeframe for calculations
## 🎯 **Ideal For**
- **Forex Day Traders**: Especially USD pairs during NY session
- **Session-Based Strategies**: Traders who respect market sessions
- **Risk Management Focus**: Those who need calculated exit strategies
- **Multi-Timeframe Analysis**: Traders using H1-H4 charts
## 📈 **Best Practices**
1. **Use during high-volume sessions** (London-NY overlap)
2. **Wait for full validation** before entering trades
3. **Consider session context** when setting TPs
4. **Combine with proper risk management** (1-2% per trade)
5. **Backtest thoroughly** before live trading
## ⚠️ **Important Notes**
- **Signals work best** during trending market conditions
- **AMD setups** provide highest probability entries
- **TP levels are suggestions** - adjust based on market context
- **Always use stop losses** (not included in this indicator)
- **Designed for Forex markets** - may need adjustment for other instruments
---
*This indicator combines proven technical analysis concepts with modern session-based trading approaches, providing both entry timing and exit planning in one comprehensive tool.*
Advanced Swing Breakout + RSI + EMA + Smart Volume SpikeThis indicator is designed to identify high-probability swing trade setups using a confluence of:
Swing High/Low Breakouts
RSI Trend Strength
EMA Directional Bias
Smart Volume Spike Confirmation
It combines key price action levels with volume and momentum filters to generate clean, actionable breakout alerts. It’s perfect for both intraday and swing traders looking to trade breakouts with confirmation from multiple technical layers.
⚙️ How It Works:
✅ Swing Detection:
Plots Swing Highs and Swing Lows based on the past N candles.
Highlights breakouts above highs or breakdowns below lows.
💪 RSI Filter:
Confirms whether the breakout is supported by RSI momentum.
Bullish breakout requires RSI > 50 and price above EMA.
Bearish breakdown requires RSI < 50 and price below EMA.
📈 EMA Trend Bias:
EMA (default 20-period) shows directional bias.
Used as a filter to confirm trade direction.
🔊 Smart Volume Spike:
Detects significant volume spikes above a moving average threshold.
Color-coded bars show whether volume is bullish, bearish, or neutral.
Ensures breakout is not on weak or average volume.
🚨 Alerts Included:
✅ Break Above Swing High: Only triggers when RSI, EMA, and Volume all confirm the move.
⚠️ Break Below Swing Low: Triggered only when bearish conditions are met.
📊 Visual Output:
Swing Highs: 🔴 Red Dots
Swing Lows: 🟢 Green Dots
EMA Line: 🟠 Orange Line
Volume Spike Bars: Appears in separate pane with dynamic color logic.
🧠 Best Use Cases:
Intraday Scalping (5m–15m timeframes)
Swing Trading (1H–4H)
Breakout Confirmation
Volume-Supported Entry Filtering
Multi-Timeframe TrendBelow is a PineScript that calculates the trend for multiple timeframes (5 minutes, 15 minutes, 1 hour, 4 hours, and daily) using the Relative Strength Index (RSI) and Moving Averages (MA) to determine bullish, bearish, or neutral trends. The script displays the trend information on the TradingView chart using a table.
NY ORB Breakout Strategy (MambaFX x DoyleStyle)# NY ORB Breakout Strategy (MambaFX x DoyleExchange)
This is a Pine Script v6 trading strategy developed to capture breakouts of the New York Open Range (9:30 AM EST). It combines concepts from MambaFX and DoyleExchange with modern risk and confirmation logic.
---
## 📌 Overview
* **Platform**: TradingView
* **Script Type**: Strategy
* **Timeframe**: 5-minute (for execution), uses 15-minute Open Range
* **Market**: Forex or Futures
---
## 🧠 Strategy Logic
### 1. **Open Range Setup**
* Open Range defined from **9:30 AM to 9:45 AM EST** (15 mins)
* Strategy waits for a **clear break** above the ORB high or below the ORB low
### 2. **Breakout Conditions**
* Full candle (open & close) must be outside the range
* Optional **retest confirmation** toggle (price revisits range before entry)
### 3. **EMA Filter** *(optional)*
* Longs: Price above 200 EMA, 13 EMA > 50 EMA
* Shorts: Price below 200 EMA, 13 EMA < 50 EMA
### 4. **Trade Execution**
* Entries: Market orders after confirmation
* Exit: TP and SL calculated using Risk\:Reward inputs
* Default TP: 2R
* Default SL: 1R
### 5. **Session Filter**
* Trades only between **9:45 AM and 12:00 PM EST** (New York morning session)
---
## 🛠 Inputs
| Input | Description |
| ------------------- | ------------------------------------ |
| ORB Start Time | Start of range (default 9:30 AM) |
| ORB Duration | Minutes (default 15 mins) |
| EMA Filter | Directional bias (on/off) |
| Retest Confirmation | Require retest before entry (on/off) |
| Take Profit RR | Take profit multiplier (default 2.0) |
| Stop Loss RR | Stop loss multiplier (default 1.0) |
| Show Labels | Toggle label display for breakouts |
---
## ✅ How to Use
1. Open TradingView → Chart
2. Go to **Pine Editor** (bottom panel)
3. Paste the full Pine Script
4. Click **Add to Chart**
5. Enable **Strategy Tester** to see results
---
## 📈 Recommended Chart Setup
* Use 5-minute chart
* Mark support/resistance from 15-minute or 1-hour levels
* Confirm bias with 4H chart direction
---
## 🔔 Alerts
* Bullish breakout alert
* Bearish breakout alert
---
## 📂 File Organization (Optional Dev Style)
```
/ny-orb-breakout-strategy
├── NY_ORB_Breakout_Strategy.pine
└── README.md
```
---
## 📅 Last Updated
**July 28, 2025**
---
## 🤝 Credits
Inspired by:
* **MambaFX** (Breakout philosophy)
* **DoyleExchange** (Clean structure and retest validation)
Gaussian Volatility Adjusted Gaussian Volatility Adjusted Indicator
The Gaussian Volatility Adjusted indicator is a powerful tool designed to identify trend direction and momentum by combining a Gaussian-filtered moving average with volatility-based thresholds. By smoothing price data with a Gaussian filter and adjusting for market volatility using Average True Range (ATR) and Standard Deviation (SD), this indicator generates clear bullish and bearish signals. The Exponential Moving Average (EMA) of the momentum difference and price bars are dynamically colored to highlight trend strength, making it easier for traders to identify potential entry and exit points in various market conditions.
How It Works
Gaussian Filter Calculations
Gaussian Filter: Applies a Gaussian smoothing filter to a user-defined price source, typically an EMA of the closing price, over a configurable length (default: 70) with a specified sigma (default: 12). The Gaussian filter uses a weighted sum based on a Gaussian distribution to reduce noise while preserving significant price trends. Weights are calculated using the Gaussian formula and normalized to ensure accurate smoothing.
Base Moving Average: Optionally applies an EMA (default: enabled, length: 45) to the closing price before Gaussian filtering, providing a smoother input for the Gaussian calculation to enhance signal reliability.
Volatility Adjustments
ATR-Based Bands: Calculates the Average True Range (ATR) over a user-defined period (default: 24), scaled by a sensitivity factor (default: 1) and an ATR factor (default: 0.85). These form volatility-adjusted bands around the Gaussian-filtered value:
Upper Band: Gaussian value + (ATR × ATR Factor).
Lower Band: Gaussian value - (ATR × ATR Factor).
Standard Deviation Bands: Computes the Standard Deviation (SD) of the closing price over a user-defined period (default: 27), scaled by the sensitivity factor. These form additional bands:
Upper SD Band: Gaussian value + SD.
Lower SD Band: Gaussian value - SD.
Trend and Momentum SignalsTrend
Detection:Bullish Trend: Triggered when the closing price exceeds the upper SD band, setting the trend to +1.
Bearish Trend: Triggered when the closing price falls below the upper ATR-based band, setting the trend to -1.
Momentum Calculation: Computes a momentum difference (Diff) based on the trend:
For a bullish trend (+1), Diff = Close - Upper ATR Band.
For a bearish trend (-1), Diff = Close - (Gaussian + SD).
EMA of Momentum: Applies an EMA (default length: 45) to the momentum difference to smooth the momentum signal.
Final Trend with EMA Confluences:
If EMA confluence is enabled (default: true), a bullish signal (+1) is confirmed when the trend is +1 and Diff exceeds the EMA of Diff. A bearish signal (-1) is confirmed when the trend is -1 and Diff is below the EMA of Diff.
If EMA confluence is disabled, the final trend follows the initial trend direction (±1).
Visual Representation
The indicator provides a clear and intuitive visual interface:
EMA Line: Plots the EMA of the momentum difference, colored based on the final trend:
Green: Bullish trend (Final_Trend = +1).
Red: Bearish trend (Final_Trend = -1).
Gray: Neutral or no trend.
Zero Line: A dashed line at zero (semi-transparent) serves as a reference for the EMA plot.
Bar Coloring: Price bars are colored to reflect the trend:
Green: Bullish trend (Final_Trend = +1).
Red: Bearish trend (Final_Trend = -1).
No Color: Neutral or no trend.
Volatility Bands: While not plotted in the provided script, the ATR and SD bands are calculated and could be plotted for additional context, marking key levels for trend detection.
Customization & Parameters
The Gaussian Volatility Adjusted indicator offers flexible parameters to suit various trading styles:
Volatility Parameters:
ATR Length: Period for ATR calculation (default: 24).
ATR Factor: Multiplier for ATR-based bands (default: 0.85).
SD Length: Period for Standard Deviation calculation (default: 27).
Sensitivity: Scales ATR and SD for band sensitivity (default: 1).
Moving Average Parameters:
Use EMA Confluence: Enable/disable EMA confluence for trend confirmation (default: true).
EMA Length: Period for EMA calculations (default: 45).
Gaussian Parameter:
Gaussian Length: Period for Gaussian filter (default: 70).
Sigma: Controls the Gaussian filter’s smoothness (default: 12).
Color Settings: EMA line and bars use green for bullish signals, red for bearish signals, and gray for neutral states, with customizable transparency for the zero line.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Trend Following:
Use the final trend signals and bar coloring to identify and follow bullish or bearish trends, with the Gaussian filter reducing noise for clearer trend detection.
Momentum Trading: The EMA of the momentum difference highlights strong momentum shifts, ideal for entering or exiting trades based on trend strength.
Reversal Detection: Monitor price crossings of the ATR and SD bands to identify potential trend reversals, especially when confirmed by the EMA confluence.
Scalping and Swing Trading: Adjust parameters (e.g., ATR length, Gaussian length, or sensitivity) to suit short-term scalping or longer-term swing trading strategies.
Final Note
The Gaussian Volatility Adjusted indicator is a robust tool for traders seeking to leverage smoothed price data and volatility-adjusted thresholds for trend and momentum analysis. Its combination of Gaussian filtering, ATR and SD-based bands, and EMA confluence provides a comprehensive framework for identifying trading opportunities. The dynamic coloring of the EMA line and price bars enhances visual clarity, making it easier to act on signals. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Kalman VWMA For LoopKalman VWMA For Loop Indicator
The Kalman VWMA For Loop indicator is a sophisticated tool designed to smooth price data using a Kalman filter applied to a Volume Weighted Moving Average (VWMA). By combining the VWMA’s volume-weighted price sensitivity with the adaptive noise reduction of a Kalman filter, this indicator provides traders with a robust momentum and trend-following signal. The indicator includes a customizable for-loop mechanism to potentially iterate over a range of calculations or parameters, enhancing flexibility for advanced trading strategies. Visual outputs are plotted to help traders identify trends and potential trading opportunities with reduced noise.
How It Works
VWMA Calculations
Volume Weighted Moving Average (VWMA): Computes a VWMA based on a user-selected price source (default: Close) over a configurable period (default: 14). The VWMA weights price data by trading volume, providing a more accurate representation of market activity compared to a simple moving average.
Kalman Filter Calculation
Kalman Filter: Applies a Kalman filter to the price source to smooth price movements and reduce noise.
The filter uses:
Process Noise: Controls the adaptability of the filter to price changes (default: 0.01).
Measurement Noise: Adjusts sensitivity to price fluctuations (default: 3).
Filter Order (N): Defines the number of states in the Kalman filter (default: 3), allowing for multi-state modeling of price dynamics.
The Kalman filter iteratively predicts and updates the price estimate using state estimates and error covariances stored in arrays. This process minimizes noise while preserving significant price trends.
For-Loop Mechanism
The script includes a for-loop structure with user-defined parameters (from and to_, defaulting to 1 and 25, respectively). While the provided code does not fully implement the for-loop’s functionality, it is intended to allow iterative calculations or parameter sweeps, such as testing multiple periods or thresholds within the specified range. This feature enhances the indicator’s flexibility for optimization or multi-scenario analysis.
Visual Representations
The indicator plots the VWMA as a red line on the chart, providing a clear visual reference for the volume-weighted trend.
The Kalman-filtered price is calculated but not plotted in the provided code. When plotted, it would appear as a smoothed price line, highlighting the underlying trend with reduced noise.
The for-loop parameters suggest potential for additional visual outputs (e.g., multiple VWMA lines or signals) if fully implemented, but the current script only plots the VWMA.
Customization & Parameters
The Kalman VWMA For Loop indicator offers flexible parameters to suit various trading styles:
Moving Average Parameters:
Price Source: Select the input price (default: Close; options: Close, High, Low, Open).
MA Period: Adjust the VWMA calculation period (default: 14).
Kalman Parameters:
Process Noise: Adjusts the filter’s adaptability to price changes (default: 0.01).
Measurement Noise: Controls sensitivity to price fluctuations (default: 3).
Filter Order (N): Sets the number of states for the Kalman filter (default: 3).
For-Loop Parameters:
From: Starting value for the for-loop (default: 1).
To: Ending value for the for-loop (default: 25).
Color Settings: The VWMA is plotted in red, with potential for additional customizable colors if the for-loop is expanded to plot multiple outputs.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Trend Following:
Use the Kalman-filtered price and VWMA to identify the direction and strength of trends, with the smoothed output reducing false signals in volatile markets.
Momentum Trading: The VWMA highlights volume-driven price movements, allowing traders to enter or exit based on momentum shifts.
Parameter Optimization: The for-loop structure (if fully implemented) enables testing multiple VWMA periods or Kalman parameters, aiding in strategy optimization.
Scalping and Swing Trading: Adjust the MA period and Kalman parameters to suit short-term (scalping) or longer-term (swing trading) strategies.
Final Note
The Kalman VWMA For Loop indicator is a powerful tool for traders seeking to combine volume-weighted price analysis with advanced noise reduction via a Kalman filter. Its customizable parameters and potential for iterative calculations through the for-loop make it adaptable to various trading styles. While the for-loop functionality is not fully implemented in the provided code, completing it could enable dynamic parameter testing or signal generation. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Venkat Sir RSI 38Here's a Pine Script (TradingView) code that does the following:
Uses the RSI indicator (Relative Strength Index).
Watches for RSI crossing below level 38 and then crossing above 38.
When RSI crosses above 38 (after having gone below), it plots a green triangle-up symbol above the candle that triggered the cross.
ICT Smart Money Trading Suite [SwissAlgo]ICT/Smart Money Trading Suite - Technical Analysis Indicator
----------------------------------------------------------
OVERVIEW
The ICT/Smart Money Trading Suite is a technical analysis indicator that implements concepts from Inner Circle Trader (ICT) methodology and Smart Money Concepts (SMC).
ICT methodology was developed by Michael J. Huddleston (ICT) and focuses on understanding Institutional market behavior.
Smart Money Concepts builds upon these ideas to analyze how large Financial Institutions and/or Market Makers seem to operate in the markets.
This indicator combines multiple analytical tools into a single package for market structure analysis, imbalance detection, and the observation of institutional order flow.
----------------------------------------------------------
CORE COMPONENTS
Market Structure Analysis:
- External Structure : Major swing highs and lows that define broader price movement (these are the most significant structural points that institutions reference for their positioning and typically require substantial volume and momentum to break)
- Internal Structure : Shorter-term pivots showing micro-trend developments within the External Structure (these internal pivot highs and lows often represent areas where retail traders may be positioned on the wrong side of the market as they frequently form just before major structural breaks or trend continuations, creating liquidity that institutions can utilize)
- Structural Breakout Detection : Identification of structure breaks and potential trend changes ( 'Change of Character' which occurs when the External Structure shifts from bullish to bearish bias or vice-versa indicating a potential major trend reversal, and 'Break of Structure' which happens when price decisively takes out previous significant highs in a bearish trend or previous significant lows in a bullish trend confirming trend continuation or acceleration)
- EMA Cloud : Dynamic support and resistance zones with trend context (additional reference point)
Imbalance Zone Detection:
Fair Value Gaps (FVGs):
Price inefficiencies that occur between candles when sudden price moves create gaps in price delivery
Typically formed when the low of a bullish candle is higher than the high of the candle two periods prior, or when the high of a bearish candle is lower than the low of the candle two periods prior
These gaps represent areas where price moved too quickly without adequate two-way auction process
Institutions may return to fill these inefficiencies at a later time for proper price discovery
The theory suggests that all price ranges should eventually be traded through to complete the auction process
Gaps are automatically removed from the chart when price fully retraces back through the inefficient area
Order Blocks (OBs):
Specific candles that occur immediately before significant market moves and represent institutional decision points
Identified as the last opposing candle before a strong directional move (final bearish candle before major bullish move or final bullish candle before major bearish move)
These candles contain the orders and liquidity that institutions used as a foundation for their market manipulation
Represent areas where large institutional players positioned themselves to move the market significantly
Price may return to these levels to collect additional liquidity or test institutional resolve
The candle's full range (high to low) is considered the active zone where institutional interest may remain
Vector Candle Recovery:
Zones created by high-activity candles that demonstrate unusually large range and volume characteristics
These candles are interpreted as manipulative price pushes designed to hunt liquidity and trigger stop losses
Often used by institutions to induce retail traders into poor positions before reversing direction
Recovery zones represent the full range of these vector candles where price may retrace
The concept assumes that extreme moves often get partially retraced as the market corrects from artificial price displacement
Zones are invalidated when a significant portion of the vector candle range is retraced (typically 50% or more)
Support & Resistance:
Key price zones based on historical price reactions and pivot clustering analysis
Calculated through algorithmic identification of areas where price has repeatedly found buyers (support) or sellers (resistance)
Strength is determined by the number of times price has reacted from these levels and the volume of activity at these zones
Represent psychological and algorithmic reference points where institutional systems are likely to place orders
Create areas of increased probability for price reactions due to concentration of pending orders and decision-making activity
Zones are color-coded based on current price position: green for support (price above), red for resistance (price below), yellow for neutral (price within)
Liquidity Analysis:
- Liquidity Pools : Areas above or below key levels where stop orders may cluster
- Kill Zones : Time-based periods associated with increased market activity
- Daily/Weekly/Monthly Price Levels : Key institutional reference points (price highs/lows)
Vector Candles/Price Manipulation:
Advanced algorithm identifying statistically significant candles using volume delta analysis, range statistics, and persistence scoring.
----------------------------------------------------------
VISUAL INTERPRETATION - DETAILED GUIDE
MARKET STRUCTURE
External Structure (Thick Lines):
- Green thick lines: Major support levels (external lows) that define bullish structure
- Red thick lines: Major resistance levels (external highs) that define bearish structure
- These lines represent significant swing points that institutions may reference
- Lines extend from the swing point and update as the structure evolves
Internal Structure (Thin Lines):
- Green thin lines: Minor support levels showing internal market structure
- Red thin lines: Minor resistance levels showing internal market structure
- More frequent updates than external structure, showing micro-trend changes
Structure Markers:
- Small triangles with "H": External pivot highs (major resistance points)
- Small triangles with "L": External pivot lows (major support points)
- Small dots: Internal pivot points (minor structure without text)
- Markers appear with a 20-bar delay to confirm pivot validity
HIGHS/LOWS LEVELS
Daily Levels (Green Dashed Lines):
- Horizontal dashed lines marking the previous day's high and low
- Updates at the start of each new trading day
- Gradient effect shows historical importance (newer = more opaque)
- Acts as institutional reference points for intraday trading
Weekly Levels (White Dashed Lines):
- Horizontal dashed lines marking the previous week's high and low
- Updates at the start of each new trading week
- Typically more significant than daily levels for swing trading
- Often respected by institutional algorithms
Monthly Levels (Orange Dashed Lines):
- Horizontal dashed lines marking the previous month's high and low
- Updates at the start of each new trading month
- Highest significance levels for long-term institutional positioning
- Major psychological and algorithmic reference points
VECTOR CANDLES
Candle Body Coloring System:
- Lime Green Bodies: Ultra-bullish vector candles (Z-score ≥ 3.0)
- Blue Bodies: Abnormal bullish vector candles (Z-score 2.0-2.99)
- Bright Red Bodies: Ultra-bearish vector candles (Z-score ≥ 3.0)
- Purple Bodies: Abnormal bearish vector candles (Z-score 2.0-2.99)
- Faded Green/Red: Normal market activity candles
Vector Identification Criteria:
- Statistical significance based on range and volume delta
- Persistence scoring (how much directional pressure remained)
- ATR-based absolute detection (candles >2x ATR automatically qualify)
- These candles often precede significant market moves or reversals
EMA CLOUD
Purple Cloud Visualization:
- Central line: 50-period EMA (blue line)
- Upper boundary: EMA + dynamic standard deviation band
- Lower boundary: EMA - dynamic standard deviation band
- Cloud fill: Purple semi-transparent area between boundaries
Interpretation:
- Price above cloud: Bullish bias context
- Price below cloud: Bearish bias context
- Price within cloud: Neutral/transitional zone
- Cloud thickness adapts to market volatility automatically
KILL ZONES
Background Highlighting:
- Yellow background tint during active kill zone periods
- London Session: 08:00-11:00 (UTC+1 time)
- NY Open: 13:00-16:00 (UTC+1 time)
- NY Close: 19:00-21:00 (UTC+1 time)
- Times automatically adjust to the chart timezone
Purpose:
- Highlights periods of typically increased institutional activity
- Times when liquidity hunting and manipulation often occur
- Periods when significant directional moves frequently begin
IMBALANCE ZONES - DETAILED BREAKDOWN
Fair Value Gaps (FVGs):
- Green boxes: Bullish FVGs (gap between bear candle high and bull candle low)
- Red boxes: Bearish FVGs (gap between bull candle high and bear candle low)
- Gray dotted lines: Midpoint of each gap (50% retracement level)
- Text label: "Fair Value Gap" in top-right corner
- Auto-removal: Boxes disappear when the price fills the gap
Order Blocks (OBs):
- Green boxes: Bullish order blocks (demand zones from the last bear candle before bullish vector)
- Red boxes: Bearish order blocks (supply zones from the last bull candle before the bearish vector)
- Gray dotted lines: Midpoint of each order block
- Text label: "OB" in top-right corner
- Invalidation: Boxes removed when price breaks below (bull OB) or above (bear OB)
Vector Candles Recovery Zones:
- Green boxes: Recovery zones after bullish vector candles
- Red boxes: Recovery zones after bearish vector candles
- Gray dotted lines: Midpoint of the vector candle range
- Text label: "Vector Recovery" on the right side
- These mark the full range of significant vector candles where retracements may occur
Support & Resistance Zones:
- Green boxes: Support zones (price currently above the zone)
- Red boxes: Resistance zones (price currently below the zone)
- Yellow boxes: Neutral zones (price within the zone)
- Text labels: "Support", "Resistance", or "Support/Resistance"
- Based on historical pivot clustering and strength analysis
Liquidity Pools:
- Green boxes: Bullish liquidity pools (below recent lows where buy stops cluster)
- Red boxes: Bearish liquidity pools (above recent highs where sell stops cluster)
- Gray dotted lines: Key liquidity level within the pool
- Text label: "Liquidity Pool" on the right side
- Zones where institutional players may hunt stop losses before reversing
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CALCULATION METHODOLOGY
Vector Candle Algorithm:
- Statistical Analysis using 48-bar lookback period
- Z-score thresholds: 2.0 (abnormal), 3.0 (ultra)
- ATR-based significance filtering
- Volume Delta Integration with lower timeframe analysis
- Persistence scoring based on directional pressure sustainability
- Combined scoring system (delta + range)
- Absolute Vector Detection for candles exceeding 2x ATR
Market Structure Parameters:
- Swing Size: 20-period pivot detection
- Breakout Threshold: 3 consecutive breaks for structure confirmation
- EMA Length: 50-period with dynamic cloud sizing
Fair Value Gap Detection:
- Auto Threshold: Dynamic gap sizing based on asset volatility
- Manual Threshold: User-defined minimum gap percentage
- Mitigation Logic: Automatic removal when price fills gaps
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TARGET USERS
This indicator is designed for traders who:
- Study Inner Circle Trader concepts
- Apply Smart Money Concepts in their analysis
- Focus on market structure and institutional behavior
- Seek confluence-based trading approaches
- Use higher timeframe bias for decision making
Experience Level: Intermediate to Advanced
Requires understanding of market structure concepts and institutional trading theory.
Recommended Timeframes:
- Analysis: 4H, Daily for market structure context
- Execution: 1H, 15min for entry timing
- Lower timeframes: With higher timeframe alignment
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CUSTOMIZATION OPTIONS
Display Controls:
- Master toggle for all imbalance zones
- Individual controls for each concept type
- Market structure line visibility
- Kill zone highlighting
- EMA cloud display
Visual Settings:
- Automatic light/dark mode color adaptation
- Adjustable zone transparency levels
- Extension distance controls
- Descriptive text labels
Technical Parameters:
- Vector candle sensitivity thresholds
- Historical analysis lookback periods
- Maximum zone display limits
- Zone invalidation conditions
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EDUCATIONAL BACKGROUND
Inner Circle Trader (ICT): A trading methodology developed by Michael J. Huddleston that focuses on understanding how institutional traders and market makers operate. The approach emphasizes market structure, liquidity concepts, and timing based on institutional behavior patterns.
Smart Money Concepts (SMC): An evolution of ICT principles that analyzes how large financial institutions move markets. These concepts include order blocks, fair value gaps, liquidity hunting, and market structure shifts.
Both methodologies are based on the premise that understanding institutional trading behavior can provide insights into market direction and timing.
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IMPORTANT DISCLAIMERS
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee trading results.
Trading involves substantial risk of loss. Past performance does not indicate future results. Users should thoroughly understand the underlying concepts before applying them to live trading.
The effectiveness of these analytical methods may vary across different market conditions, timeframes, and instruments. Proper risk management and additional analysis are essential.
This indicator is a tool for market analysis, not a complete trading system. Success requires understanding of market principles, risk management, and continuous learning.
Always test analytical approaches thoroughly using historical data and demo accounts before implementing with real capital.
Dragon Shadow K HighlightDragon Shadow Strategy
Highlight Candles with Volume Spike
Highlight any candle whose volume exceeds the 20-period moving average of volume.
Highlight Doji Candles
Highlight candles that are Doji (where the open and close are very close, indicating market indecision).
Display Higher Timeframe Candles
On lower timeframes, display virtual candles composed of higher timeframe data:
On 15-minute chart:
Display 4 x 1H candles
Display 3 x 4H candles
Display 2 x 1D candles
On 1-hour chart:
Display 3 x 4H candles
Display 2 x 1D candles
On 4-hour chart:
Display 2 x 1D candles
Price Action All In OnePrice Action All In One. Scalping and Day Trading with this PA indicator. Enjoy
AVWAP 4HThe AVWAP 4H indicator is a multi-session Anchored Volume-Weighted Average Price (AVWAP) tool designed for intraday precision and institutional-grade insight. It plots session-specific AVWAP lines based on a series of key UTC-based time anchors, allowing traders to monitor value zones and dynamic support/resistance across global trading hours.
This script calculates and displays AVWAP lines anchored from five distinct UTC times:
8:00 PM (ETH Open)
10:00 PM
2:00 AM
6:00 AM
10:00 AM
Each line is calculated using ohlc4 as the price source and resets at its respective session start time. Traders can enable or disable any AVWAP anchor individually, as well as customize line color and width for better visual distinction.
The indicator is ideal for identifying volume-weighted equilibrium levels across overlapping global market sessions, particularly useful for short-term mean-reversion, breakout, and institutional order flow strategies.
Volume Surge Detector[SpeculationLab]Volume Surge Detector
This tool is especially useful for spotting early signs of breakouts, news-driven spikes, or institutional activity that are often preceded by abnormal surges in volume.
For better chart readability, the volume bar colors are based on TradingView’s original Volume indicator, while all other code is fully original by Speculation Lab.
You can customize both the SMA line and the volume bar colors to fit your style.
The logic compares the current volume against its SMA (default length: 14, fully adjustable).
The script comes with two surge levels:
Surge Level 1 (default = 5) → When volume is more than 5× the SMA, the bar turns aqua.
Surge Level 2 (default = 10) → When volume is more than 10× the SMA, the bar turns yellow.
It also includes built-in alerts, so you’ll be notified instantly whenever a surge is detected.
This makes it easier to spot potential breakout moves or large market participation in real time.
Disclaimer: This script is for educational purposes only. It does not provide financial advice.
这是一个用于探测 成交量爆发 的指标。
为了图表美观,成交量柱的颜色借鉴了 TradingView 原始 Volume 指标,其余代码均为 Speculation Lab 原创。
用户可以自由调整成交量柱和其对应的 SMA 均线的颜色。
指标通过对比成交量和其 SMA(默认长度为14,可自定义长度和颜色)的比例来检测放量。
默认设置了两个放量级别:
Surge Level 1(默认=5):当成交量超过均量的 5 倍时,量柱变为水蓝色。
Surge Level 2(默认=10):当成交量超过均量的 10 倍时,量柱变为黄色。
脚本还设置了 内置警报功能,方便交易者在出现放量时实时收到通知。
Intraday Strategy: 9EMA-21EMA + VWAP + RSIIntraday 15 m Time fram strategy, helpful in identifying the stocks as well as indices in Indian Market for Long and Short Trades.
PHL Sweep Signals(1 Hour)PHL Sweep Signals (Full History)
This indicator is designed to identify high-probability reversal setups by detecting liquidity sweeps of the previous standard hour's high and low (PHL). It provides clear, actionable signals complete with visual aids and a data table to keep you in tune with the higher-timeframe context.
Key Features
Previous Hour Levels: Automatically draws the high and low of the previous standard hour as key reference lines for the current trading hour. The line colors rotate to provide a clear visual separation.
Bearish Sweep Signal: Identifies a specific bearish pattern: a green (bullish) candle that wicks above the previous hour's high but fails to hold, with its body remaining entirely below the line.
Bullish Sweep Signal: Identifies the opposite bullish pattern: a red (bearish) candle that wicks below the previous hour's low but is absorbed, with its body remaining entirely above the line.
Clear Visual Signals: When a signal is confirmed, the indicator provides a multi-faceted alert:
Plots a "Buy" or "Sell" arrow on the chart.
Draws a colored box around the signal candle for easy identification.
Displays a label with the potential Stop Loss size (calculated from the size of the signal candle).
Informative Display Table: Includes a convenient table in the corner showing the Open and Close data for the last 3 hours, helping you stay aware of the broader market context without leaving your chart.
Built-in Alerts: Triggers an alert for every confirmed Buy and Sell signal so you never miss a potential setup.
How to Use
This indicator helps you spot potential exhaustion and reversals at key hourly levels.
A "Sell" signal suggests a failed breakout to the upside, indicating potential weakness and a possible entry for shorts.
A "Buy" signal suggests a failed breakdown to the downside, indicating potential strength and a possible entry for longs.
As with any tool, these signals are most powerful when used as part of a comprehensive trading strategy and combined with your own analysis for confirmation.
Optimal Settings:
Timeframe: 5-Minute
Time Zone: UTC-4 (New York Time)
-ratheeshinv
smart money conceprt toolkit🧠 Core Principles of Smart Money Concept
1. Market Structure
Higher Highs / Higher Lows in an uptrend.
Lower Highs / Lower Lows in a downtrend.
Structure shifts help identify trend reversals or continuations.
🔄 Key: Look for breaks of structure (BOS) or market structure shifts (MSS) to spot when smart money may be entering.
2. Liquidity
Smart money hunts liquidity before moving price.
Buy-side liquidity: Above recent highs (where stop-losses from short traders sit).
Sell-side liquidity: Below recent lows (stop-losses from long traders).
💧They create traps to grab these stop-losses, called liquidity grabs or stop hunts.
3. Order Blocks
An order block is the last bullish/bearish candle before a sharp move in the opposite direction.
Bullish Order Block: Last bearish candle before strong upward move.
Bearish Order Block: Last bullish candle before strong downward move.
📦 Smart money often returns to these blocks to fill unfilled orders.
4. Fair Value Gap (FVG) / Imbalance
When price moves too fast, it leaves an imbalance (or FVG) between candles.
Price often retraces to fill the gap, which smart money uses for entries.
📉 FVG = space between candle wicks that price didn’t trade through.
5. Mitigation
Smart money revisits previous zones (like OBs or FVGs) to mitigate risk or close positions.
This helps balance their books and is a common reason for retests of OB zones.
6. Liquidity Sweep / Stop Hunt
Price may fake a breakout, sweep highs/lows, then reverse.
This clears out retail stop-losses and provides entries for smart money.
💡Look for Swing Failure Patterns (SFPs) as a sign of liquidity sweep.
7. Entry Techniques
Once all confluences align:
Look for confirmations like:
BOS/MSS
Return to OB
FVG
Strong rejection wicks
Internal structure shift (on lower timeframe)
🔎 Real-World Example:
Let’s say:
Price makes lower lows and lower highs (downtrend).
Then price sweeps a previous low (liquidity grab).
Then it breaks structure upward.
Wait for price to return to bullish order block or FVG.
Enter long trade from that zone.
This is a typical Smart Money Reversal Model.
🧭 Why Use Smart Money Concept?
✅ Precise entries
✅ Follows market movers
✅ Builds logical narrative of price
✅ Works well with multi-timeframe analysis
🛑 Risk & Misuse
Mislabeling OBs or BOS
Chasing trades without waiting for confirmation
Overusing concepts without context
Believing every move is “manipulation”
triumm toolkitt📊 What is Volume Seasonality?
Volume seasonality is the tendency for market volume to rise or fall in predictable cycles. It can be driven by:
Institutional trading behavior
Earnings seasons
Economic data releases
Holidays and market closures
Start/end of financial quarters or fiscal years
📅 Examples of Volume Seasonality
🗓️ Yearly Patterns
Time of Year Volume Trend Reason
January High "January Effect" – new capital flows in
Summer (July-Aug) Low Traders/investors take vacation
September-October High Rebalancing, new positions
End of December Low Holidays, year-end slowdowns
📆 Monthly/Weekly Patterns
Start of month/week: Volume tends to increase as funds rebalance and new capital is allocated.
End of month: Often shows rebalancing behavior, especially in large portfolios.
🕒 Intraday Patterns
Market Open (first hour): High volume — reaction to news, overnight positioning.
Midday: Lower volume — traders take a break.
Market Close (last hour): High volume — institutional rebalancing, closing orders.
📈 Why Does It Matter for Traders?
Understanding volume seasonality helps you:
Avoid false signals during low-volume periods.
Anticipate volatility around high-volume times.
Time entries/exits when liquidity is more favorable.
Combine with price action for better confirmation.
🔧 Tools to Use
Volume Profile by Session/Month
Seasonality Indicators (custom or available in TradingView)
Historical Volume Heatmaps