Average Directional Index with DI SpreadThis indicator converts conventional triple lined ADX, DI+ and DI- into two lines. First line is the
original ADX line and second line is obtained by subtracting DI- from DI+ which named DI Spread(DIS)
If ADX is greater than 20 there is a trend and if greater than 40 there is a strong trend but ADX does not tell
the trend direction
To determine trend direction, DIS can be used with ADX; Sımply; If DIS is greater than 0, it is an uptrend and If DIS
is less than 0, it is a downtrend.
To sum up;
If ADX is greater than 20 and especially greater than 40 with positive DIS value, this implies an uptrend.
If ADX is greater than 20 and especially greater than 40 with negative DIS value, this implies a downtrend.
*Because of coloration and reference levels used, this indicator is really simple and efficient to analyze trend direction.
Cerca negli script per "20年美元汇率"
MFI Multi-TimeframeThe Money Flow Index (MFI) is an oscillating momentum and market strength indicator that was developed by Gene Quong and Avrum Soudack. It is also a leading indicator, which means it tends to lead price action, and is similar in calculation as J. Welles Wilder's Relative Strength Index (RSI) with the significant difference being that the MFI uses both price and volume. Like the RSI, the MFI is a range-bound oscillator that oscillates between zero and 100 and is interpreted in a similar way as the RSI. The ultimate aim of the MFI is to determine whether money is flowing in or out of a security over a specified look-back period.
HOW IS IT USED ?
The MFI oscillates between 0 and 100 and a security is considered overbought when its MFI rises above 80 and oversold when its MFI falls below 20. These levels are the suggested overbought and oversold levels as suggested by Quong and Soudack, though they do not suggest these levels as entry signals. Instead, these caution levels warn that the price action and the current trend have reached extremes that may be unsustainable. Quong and Soudack also recommend using the 90 and 10 lines as truly overbought and truly oversold levels respectively. MFI movements above 90 and below 10 are rare and indicate a higher level of unsustainability.
Finally, failure swings from the 20 or 80 levels can also be used to identify potential price reversals and trade entries. A failure swing occurs when the MFI moves over the overbought or oversold level but reverses back before reaching the opposite level. Thus, when the MFI crosses up over the 20 (oversold) level but reverses before it reaches the 80 (overbought) level, it indicates that the uptrend is weak and that it may reverse soon. This signals that you should cover any long positions or go short. Similarly, when the MFI crosses down over the 80 (overbought) level but reverses before it reaches the 20 (oversold) level, it indicates a weakness in the down trend and the probability that the trend will reverse. This would be a signal to close of any short positions; or a signal to long buy.
I added the possibility to add on the chart a 2nd timeframe for confirmation.
If you found this script useful, a tip is always welcome... :)
Exponential Moving Average (Set of 3) [Krypt] + 13/34 EMAsI took Krypt's script and essentially added on to it.
the 20/50/100/200 EMAs should be used together as support and resistance as normal.
Wait for price to break 200 EMA
Wait for 50 EMA to cross 200 EMA
Wait for pullback to 50 EMA to open position
20 and 100 EMAs are for extra information about moving support and resistance
and 13/34 EMAs should be used in conjunction
When 13 EMA crosses 34 EMA, open position
When price gets far from 13/34, close position (because price will attempt to revert back to mean)
This is better for scalping and swing trades than the 20/50/100/200 setup.
Twitter: @AzorAhai06
Gap Gain Test V1.0 by @overratedtraderOddball indicators for entertainment purposes only. This is best used on daily chart.
Look at the 20 ALMA to gauge likelihood of stock following its up or down gap.
- if above the 20 ALMA , follow the gap direction
- if below the 20 ALMA , take counter trend trade
If stock gaps up AND closes higher than it opens, that gain % (close/open) is colored green and if stock gaps down and closes lower than it opens, that gain % (close/open) is colored green
Conversely if the stock gaps up BUT closes lower than it opens, red and if a stop gaps down but closes higher than it opens, red.
Enjoy and follow me on twitter @overratedtrader for more nonsensical and out-of-the-box ideas.
Adaptive Donchian ChannelThis indicator adds a level of adaptivity to the simple Donchian Channel by adjusting the sensitivity (lookback periods) of the channel's upper and lower bounds based on the amount of time that has elapsed since the price has hit/expanded the channel boundaries. Comparing the results of this indicator to the standard Donchian Channel, the readier level of responsiveness may prove self-evident.
METHODOLOGY:
Specifically, the more recently the channel was expanded in one direction, the longer the lookback period grows in that direction. Conversely, if the channel has not been expanded in a given direction, the lookback period will contract so as to allow for a tighter channel.
For example, let the initial lookback period be 20 bars and let the factor argument be 0.1 (or 2 bars to start, as 20*0.1 = 2). Now say the current bar sets a new 20-period high. Then the lookback period for the upper bound is expanded by 2 bars to 22, and the lookback period for the lower bound is contracted by 2 bars to 18, thereby making it simultaneously harder to set new highs and easier to set new lows (and vice versa for hitting new lows). If neither a new high nor a new low is formed, both periods contract by the given factor.
TonyUX EMA Scalper - Buy / SellThis is a simple scalping strategy that works for all time frames... I have only tested it on FOREX
It works by checking if the price is currently in an uptrend and if it crosses the 20 EMA.
If it crosses the 20 EMA and its in and uptrend it will post a BUY SIGNAL.
If it crosses the 20 EMA and its in and down it will post a SELL SIGNAL.
The red line is the highest close of the previous 8 bars --- This is resistance
The green line is the lowest close of the previous 8 bars -- This is support
EMA_ConvergenceFirst I have to give kudos to my son who I asked to take a shot at creating this little indicator. Nice work son!
While trading, one of the things I look for is when price or certain EMA's approach another EMA. The example that I use on this 1 minute SPY chart is an 8 EMA and 20 EMA. I am looking for when the 8 and 20 are within' 3 cents of each other. Many times when they are getting close, price is approaching a top or bottom. I am looking for a candlestick reversal around that area. You may want to know when PRICE is near the 50 EMA: Use EMA 1 and 50 for that. Having it light up on top of the page, or elsewhere, makes it easier to look for the convergence when it occurs. If it lights up for a long period, price may be going sideways. I don't enter into a trade until the EMA starts separating, usually with another candlestick formation.
You are able to change the distance for convergence and two EMA's. Unfortunately you will have to adjust the convergence number up as you increase in time frames. This is designed to see when they are close, not when they cross.
The bars on top of this example are lit up purple due to the 8 and 20 EMA are within' 3 cents of each other.
If you want to overlay the price bars, instead of having it separate, just change overlay to "true"
Enjoy.
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP)
Originality & Innovation
The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout.
Technical Methodology
Core Algorithm:
Distributes volume across user-defined bins (20-200) over a lookback period
Calculates volume-weighted price levels for each bin
Applies percentile-based zone classification to the price range (not volume ranking)
Zone B (extreme zones): Outer percentile tails representing potential rejection areas
Zone A (significant zones): Secondary percentile bands indicating strong interest levels
Center Zone: Bulk trading range where most price discovery occurs
Mathematical Foundation:
The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading.
Key Calculations:
POC (Point of Control): Price level with maximum volume accumulation
Volume-weighted mean price: Total volume × price / total volume
Median price: Geometric center of the price range
Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter
Trading Applications
Zone Interpretation:
Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points.
Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones.
Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions.
Strategic Usage:
Reversal Trading: Look for rejection signals when price enters Zone B areas
Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts
Support/Resistance: Zone A boundaries often provide reliable entry/exit levels
Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines
Unique Value Proposition
EZVP addresses three key limitations of traditional volume profiles:
Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance.
Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic.
Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility.
Configuration Guide
Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading.
Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes.
Zone Percentages:
Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance)
Zone A: Significant threshold (default 14% = ~1σ statistical significance)
Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style.
Technical Requirements
Pine Script v6 compatible
Maximum bars back: 5000 (ensures sufficient historical data)
Maximum boxes: 500 (supports high-resolution bin counts)
Maximum lines: 50 (accommodates all zone and reference lines)
This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Volume Heat ZoneVolume Zones Indicator
This Pine Script creates a volume-based zone analysis tool for TradingView.
Function:
Divides the price range (high to low) into 20 levels over a 100-candle lookback period
Measures volume activity at each price level
Draws boxes at levels with above-average volume (1.5x threshold)
Key Settings:
Lookback Period (100): Number of candles analyzed
Price Levels (20): Price range subdivisions
Volume Threshold (1.5): Minimum volume multiplier for zones
Candle Offset (1): Excludes current candle from analysis
Projection Bars (10): Extends boxes 10 bars into the future
How it works:
The indicator identifies price levels where significant trading volume occurred historically, highlighting potential support/resistance zones. Boxes are redrawn on each confirmed candle, showing dynamic volume concentration areas that traders can use for entry/exit decisions.
Volatility Forecast/*==============================================================================
Volatility Forecast — Publishable Documentation
Author: @BB_9791
License: Mozilla Public License 2.0
WHAT THIS INDICATOR SHOWS
- A daily volatility estimate in percent points, called sigma_day.
- A slow volatility anchor, the 10-year EMA of sigma_day.
- A blended volatility series in percent points:
sigma_blend = (1 − p) * sigma_day + p * EMA_10y(sigma_day)
where p is the Slow weight %, default 30.
- Optional annualization by multiplying by 16, this is a daily-to-annual
conversion used by Robert Carver in his writings.
METHODOLOGY, CREDIT
The estimator follows the approach popularized by Robert Carver
("Systematic Trading", "Advanced Futures Trading Strategies", blog qoppac).
Current daily volatility is computed as an exponentially weighted standard
deviation of daily percent returns, with alpha = 2 / (span + 1).
The slow leg is a long EMA of that volatility series, about 10 years.
The blend uses fixed weights. This keeps the slow leg meaningful through
large price level changes, since the blend is done in percent space first.
MATH DETAILS
Let r_t be daily percent return:
r_t = 100 * (Close_t / Close_{t−1} − 1)
EWMA mean and variance:
m_t = α * r_t + (1 − α) * m_{t−1}
v_t = α * (r_t − m_t)^2 + (1 − α) * v_{t−1}
where α = 2 / (span_current + 1)
Current daily sigma in percent points:
sigma_day = sqrt(v_t)
Slow leg:
sigma_10y = EMA(sigma_day, span_long)
Blend:
sigma_blend = (1 − p) * sigma_day + p * sigma_10y
Annualized option:
sigma_ann = 16 * sigma_blend
INPUTS
- Threshold (percent points): horizontal guide level on the chart.
- Short term span (days): EW stdev span for sigma_day.
- Long term span (days): EMA span for the slow leg, choose about 2500 for 10 years.
- Slow weight %: p in the blend.
- Annualize (x16): plot daily or annualized values.
- Show components: toggles Current and 10y EMA lines.
- The script uses the chart symbol by default.
PLOTS
- Blended σ% as the main line.
- Optional Current σ% and 10y EMA σ%.
- Editable horizontal threshold line in the same units as the plot
(percent points per day or per year).
- Optional EMA 9 and EMA 20 cloud on the blended series, green for uptrend
when EMA 9 is above EMA 20, red otherwise. Opacity is configurable.
HOW TO READ
- Values are percent points of movement per day when not annualized,
for example 1.2 means about 1.2% typical daily move.
- With annualize checked, values are percent points per year, for example 18
means about 18% annualized volatility.
- Use the threshold and the EMA cloud to mark high or low volatility regimes.
NOTES
- All calculations use daily data via request.security at the chart symbol.
- The blend is done in percent space, then optionally annualized, which avoids
bias from the price level.
- This script does not produce trading signals by itself, it is a risk and
regime indicator.
CREDITS
Volatility forecasting method and scaling convention credited to Robert Carver.
See his books and blog for background and parameter choices.
VERSION
v1.0 Initial public release.
==============================================================================*/
Nakurviator (for Long @ 5m interval) v1.6.0Nakurviator v1.6.4 represents a refined evolution of our proprietary trading indicator, meticulously calibrated for long entry signals while operating exclusively on 5-minute timeframes. This sophisticated system leverages higher timeframe data through advanced multi-timeframe analysis, incorporating 1-hour, 4-hour, and daily perspectives to enhance signal accuracy and market context. The indicator employs a sophisticated scoring mechanism that combines technical analysis with supply/demand zones, ensuring optimal entry points through comprehensive market structure analysis. With its exclusive 5M operation requirement and enhanced "Source Timeframes" configuration, Nakurviator delivers precision-engineered long signals backed by robust higher timeframe validation.
The indicator contains over 1000 lines of code and is highly configurable.
SETTINGS:
Source Timeframes
Enable 1h - Enables signal analysis on 1-hour timeframes.
Enable 4h - Enables signal analysis on 4-hour timeframes.
Enable 1d - Enables signal analysis on daily timeframes.
POI
POI display mode - Determines how POI zones are displayed (Stacked/Exclusive).
POI detection mode - Sets POI zone detection mode (Auto/Auto+Manual/Manual/Simple).
HTF OB body multiplier - Multiplier for HTF zone candle body size.
HTF OB lookback for avg body - Number of bars back to calculate average body.
Max bars in POI zone - Maximum number of bars in POI zone.
HTF OB buffer (ATR mult) - HTF zone buffer expressed as ATR multiplier.
Manual POI
Manual POI 1 active - Enables manual POI zone 1.
Manual POI 1 low - Lower level of manual POI zone 1.
Manual POI 1 high - Upper level of manual POI zone 1.
Manual POI 1 weight - Weight of manual POI zone 1 (0-35).
Manual POI 1 type - Type of manual POI zone 1 (Bull/Bear/Both).
Manual POI 2 active - Enables manual POI zone 2.
Manual POI 2 low - Lower level of manual POI zone 2.
Manual POI 2 high - Upper level of manual POI zone 2.
Manual POI 2 weight - Weight of manual POI zone 2 (0-35).
Manual POI 2 type - Type of manual POI zone 2 (Bull/Bear/Both).
Indicators
ATR - Period length for Average True Range.
RSI - Period length for Relative Strength Index.
MACD fast - Fast MACD line.
MACD slow - Slow MACD line.
MACD signal - MACD signal line.
MFI - Period length for Money Flow Index.
Thresholds
Displacement body >= ATR mult - ATR multiplier for candle body displacement.
FVG min-gap (ATR mult) - Minimum FVG gap expressed as ATR multiplier.
CHoCH pivot >= ATR mult - ATR multiplier for Change of Character pivots.
Trend EMA length - EMA length for trend (10-400).
Sweep lookback (bars back) - Number of bars back for sweep analysis (3-50).
Require sweep for signals - Requires sweep for signal generation.
FVG
Include micro (1-candle) gaps - Includes micro single-candle gaps.
Entry zone % (50..66) - Entry zone percentage (50-66%).
Show FVG zones - Displays FVG zones on chart.
SMT
Enable SMT - Enables SMT (Smart Money Tracking) analysis.
Benchmark - Benchmark instrument for SMT.
Lookback - Lookback period for SMT analysis (min. 5).
Asymmetry threshold - Asymmetry threshold for SMT (min. 0.01).
HTF trend
HTF TF for trend - HTF timeframe for trend analysis.
HTF EMA length - HTF EMA length (min. 20).
HTF trend bias (+/-) - HTF trend bias (0-30).
HTF EMA tolerance (ATR) - HTF EMA tolerance expressed as ATR.
Scoring/Display
Grade A >= - Threshold for Grade A (50-100).
Grade B >= - Threshold for Grade B (20-80).
Require POI for signals - Requires POI for signal generation.
Require POI only if counter-HTF - Requires POI only for counter-HTF signals.
Block LONG in PREMIUM zone - Blocks LONG signals in PREMIUM zone.
Show debug labels - Displays debug labels.
Show POI zones on chart - Displays POI zones on chart.
Show tooltip on signals - Displays tooltip on signals.
Max signals / day - Maximum number of signals per day (1-40).
Min distance same-dir (ATR) - Minimum distance between same-direction signals.
Max 1 signal per bar (all TF) - Maximum 1 signal per bar (all timeframes).
Counter-HTF requires Grade A - Counter-HTF requires Grade A rating.
Cooldown (bars) - Cooldown period between signals (min. 1).
No-flip window (bars) - No-flip window (min. 1).
Alerts 1h - Alerts for 1-hour timeframes.
Alerts 4h - Alerts for 4-hour timeframes.
Alerts 1d - Alerts for daily timeframes.
Combined alert (any TF) - Combined alert for all timeframes.
Radial Basis Kernel RSI for LoopRadial Basis Kernel RSI for Loop
What it is
An RSI-style oscillator that uses a radial basis function (RBF) kernel to compute a similarity-weighted average of gains and losses across many lookback lengths and kernel widths (γ). By averaging dozens of RSI estimates—each built with different parameters—it aims to deliver a smoother, more robust momentum signal that adapts to changing market conditions.
How it works
The script measures up/down price changes from your chosen Source (default: close).
For each combination of RSI length and Gamma (γ) in your ranges, it builds an RSI where recent bars that look most similar (by price behavior) get more weight via an RBF kernel.
It averages all those RSIs into a single value, then smooths it with your selected Moving Average type (SMA, EMA, WMA, HMA, DEMA) and a light regression-based filter for stability.
Inputs you can tune
Min/Max RSI Kernel Length & Step: Range of RSI lookbacks to include in the ensemble (e.g., 20→40 by 1) or (e.g., 30→50 by 1).
Min/Max Gamma & Step: Controls the RBF “width.” Lower γ = broader similarity (smoother); higher γ = more selective (snappier).
Source: Price series to analyze.
Overbought / Oversold levels: Defaults 70 / 30, with a midline at 50. Shaded regions help visualize extremes.
MA Type & Period (Confluence): Final smoothing on the averaged RSI line (e.g., DEMA(44) by default).
Red “OB” labels when the line crosses down from extreme highs (~80) → potential overbought fade/exit areas.
Green “OS” labels when the line crosses up from extreme lows (~20) → potential oversold bounce/entry areas.
How to use it
Treat it like RSI, but expect fewer whipsaws thanks to the ensemble and kernel weighting.
Common approaches:
Look for crosses back inside the bands (e.g., down from >70 or up from <30).
Use the 50 midline for directional bias (above = bullish momentum tilt; below = bearish).
Combine with trend filters (e.g., your chart MA) for higher-probability signals.
Performance note: This is really heavy and depending on how much time your subscription allows you could experience this timing out. Increasing the step size is the easiest way to reduce the load time.
Works on any symbol or timeframe. Like any oscillator, best used alongside price action and risk management rather than in isolation.
Session Based Liquidity# Session Based Liquidity Indicator - Educational Open Source
## 📊 Overview
The Session Based Liquidity indicator is a comprehensive educational tool designed to help traders understand and visualize liquidity concepts across major trading sessions. This indicator identifies Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) levels created during Asia, London, and New York trading sessions, providing insights into institutional order flow and potential market reversal zones.
## 🎯 Key Features
### 📈 Multi-Session Tracking
- **Asia Session**: Tokyo/Sydney overlap (20:00-02:00 EST)
- **London Session**: European markets (03:00-07:30 EST)
- **New York Session**: US markets (09:30-16:00 EST)
- Individual session toggle controls for focused analysis
### 💧 Liquidity Level Detection
- **Buy-Side Liquidity (BSL)**: Identifies stop losses above swing highs where short positions get stopped out
- **Sell-Side Liquidity (SSL)**: Identifies stop losses below swing lows where long positions get stopped out
- Advanced filtering algorithm to identify only significant liquidity zones
- Configurable pivot strength for sensitivity adjustment
### 🎨 Visual Management System
- **Unclaimed Levels**: Active liquidity zones that haven't been hit (default: black lines)
- **Claimed Levels**: Swept liquidity zones showing historical interaction (default: red lines)
- Customizable line styles, colors, and widths for both states
- Dynamic label system showing session origin and level significance
- Real-time line extension and label positioning
### ⚙️ Advanced Configuration
- **Pivot Strength**: Adjust sensitivity (1-20) for liquidity detection
- **Max Levels Per Side**: Control number of tracked levels (1-10) per session
- **Label Offset**: Customize label positioning
- **Style Customization**: Full control over visual appearance
## 📚 Educational Value
### Core Concepts Explained
- **Liquidity Pools**: Areas where stop losses and pending orders cluster
- **Liquidity Sweeps**: When price moves through levels to trigger stops, then reverses
- **Session-Based Analysis**: How different market sessions create distinct liquidity characteristics
- **Institutional Order Flow**: Understanding how large players interact with retail liquidity
### Trading Applications
- Identify high-probability reversal zones after liquidity sweeps
- Understand where stop losses are likely clustered
- Avoid trading into obvious liquidity traps
- Use session context for timing entries and exits
- Recognize institutional accumulation and distribution patterns
### Code Learning Opportunities
- **Pine Script v6 Best Practices**: Modern syntax and efficient coding patterns
- **Object-Oriented Design**: Custom types and methods for clean code organization
- **Array Management**: Dynamic data structure handling for performance
- **Visual Programming**: Line, label, and styling management
- **Session Detection**: Time-based filtering and timezone handling
## 🔧 Technical Implementation
### Performance Optimized
- Efficient memory management with automatic cleanup
- Limited historical level tracking to maintain responsiveness
- Optimized array operations for smooth real-time updates
- Smart filtering to reduce noise and focus on significant levels
### Code Architecture
- **Modular Design**: Clean separation of concerns with dedicated methods
- **Type Safety**: Custom SessionLiquidity type for organized data management
- **Extensible Structure**: Easy to modify and enhance for specific needs
- **Educational Comments**: Comprehensive documentation throughout
## 💡 Usage Guide
### Basic Setup
1. Add indicator to chart
2. Configure session times for your timezone
3. Adjust pivot strength based on timeframe (higher for lower timeframes)
4. Enable/disable sessions based on your trading focus
### Interpretation
- **Unclaimed levels**: Watch for price interaction and potential reversals
- **Claimed levels**: Use as potential support/resistance after sweep
- **External levels**: Beyond session range, higher significance
- **Internal levels**: Within session range, may indicate ranging conditions
### Best Practices
- Use higher timeframes (15m+) for cleaner signals
- Combine with price action analysis for confirmation
- Consider session overlap periods for increased significance
- Monitor multiple sessions for comprehensive market view
## 🎓 Educational Goals
This open-source project aims to:
- Demystify liquidity concepts for retail traders
- Provide practical coding examples in Pine Script v6
- Encourage understanding of institutional trading behavior
- Foster community learning and collaboration
- Bridge the gap between theory and practical application
## 📄 License & Usage
Released under Mozilla Public License 2.0 - free for educational and commercial use with proper attribution.
## 🤝 Contributing
As an open-source educational tool, contributions are welcome! Whether it's bug fixes, feature enhancements, or educational improvements, your input helps the trading community learn and grow.
## ⚠️ Disclaimer
This indicator is for educational purposes only. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
---
*By studying and using this indicator, traders can develop a deeper understanding of market microstructure and improve their ability to read institutional order flow patterns.*
VXN Money Flow IndexThis indicator is based on other open source scripts. It's designed for trading Nasdaq futures (NQ and MNQ). It generates trading signals using the Money Flow Index (MFI), which measures buying and selling pressure based on price and volume. The VXN index (CBOE Nasdaq Volatility Index) filters signals to align with market sentiment.
- MFI Signals: Bullish signals occur when MFI crosses above the 20 level (oversold) and the VXN background is green (bullish sentiment). Bearish signals occur when MFI crosses below the 80 level (overbought) and the VXN background is red (bearish sentiment).
- VXN Filter: The background is green when the VXN 1-period EMA is below the 200-period SMA (bullish), and red when the EMA is above the SMA (bearish).
Usage: Apply this indicator to a Nasdaq futures chart in TradingView. Take long trades on MFI crossovers above 20 when the background is green, and short trades on MFI crossunders below 80 when the background is red. Signals are plotted as triangles on the price chart.
Signal Hunter Pro - GKDXLSignal Hunter Pro - GKDXL combines four powerful technical indicators with trend strength filtering and volume confirmation to generate reliable BUY/SELL signals. This indicator is perfect for traders who want a systematic approach to market analysis without the noise of conflicting signals.
🔧 Core Features
📈 Multi-Indicator Signal System
Moving Averages: EMA 20, EMA 50, and SMA 200 for trend analysis
Bollinger Bands: Dynamic support/resistance with price momentum detection
RSI: Enhanced RSI logic with smoothing and multi-zone analysis
MACD: Traditional MACD with signal line crossovers and zero-line analysis
🎛️ Advanced Filtering System
ADX Trend Strength Filter: Only signals when trend strength exceeds threshold
Volume Confirmation: Ensures signals occur with adequate volume participation
Multi-Timeframe Logic: Works on any timeframe from 1m to 1D and beyond
🚨 Intelligent Signal Generation
Requires 3 out of 4 indicators to align for signal confirmation
Separate bullish and bearish signal conditions
Real-time signal strength scoring (1/4 to 4/4)
Built-in alert system for automated notifications
⚙️ Customizable Parameters
📊 Technical Settings
Moving Averages: Adjustable EMA and SMA periods
Bollinger Bands: Configurable length and multiplier
RSI: Customizable length, smoothing, and overbought/oversold levels
MACD: Flexible fast, slow, and signal line settings
🎯 Risk Management
Risk Percentage: Set your risk per trade (0.1% to 10%)
Reward Ratio: Configure risk-to-reward ratios (1:1 to 1:5)
ADX Threshold: Control minimum trend strength requirements
🖥️ Display Options
Indicator Visibility: Toggle individual indicators on/off
Information Table: Optional detailed status table (off by default)
Volume Analysis: Real-time volume vs. average comparison
🎨 Visual Elements
📈 Chart Indicators
EMA Lines: Blue (20) and Orange (50) exponential moving averages
SMA 200: Gray long-term trend line
Bollinger Bands: Upper/lower bands with semi-transparent fill
Clean Interface: Minimal visual clutter for clear analysis
📋 Information Table (Optional)
Real-time indicator status with ✓/✗/— symbols
Current signal strength and direction
ADX trend strength measurement
Volume confirmation status
No-signal reasons when conditions aren't met
🔔 Alert System
📢 Three Alert Types
BUY Signal: Triggered when 3+ indicators align bullishly
SELL Signal: Triggered when 3+ indicators align bearishly
General Alert: Any signal detection for broader monitoring
📱 Alert Messages
Clear, actionable alert text
Includes indicator name for easy identification
Compatible with webhook integrations
🎯 How It Works
📊 Signal Logic
Indicator Assessment: Each of the 4 indicators is evaluated as Bullish/Bearish/Neutral
Consensus Building: Counts aligned indicators (minimum 3 required)
Filter Application: Applies trend strength and volume filters
Signal Generation: Generates BUY/SELL when all conditions are met
🔍 Indicator States
Moving Averages: Price position, EMA alignment, and crossovers
Bollinger Bands: Price relative to bands and momentum shifts
RSI: Multi-zone analysis with momentum and crossover detection
MACD: Signal line crossovers and zero-line positioning
🎉 Why Choose Signal Hunter Pro?
✅ Multi-Indicator Confirmation reduces false signals
✅ Trend Strength Filtering improves win rate
✅ Volume Confirmation ensures market participation
✅ Customizable Parameters adapt to any trading style
✅ Clean Visual Design doesn't clutter your charts
✅ Professional Alert System for automated trading
✅ No Repainting - reliable historical signals
✅ Works on All Timeframes from scalping to investing
Setup Cripto EMA + Volume//@version=5 indicator("Sinais Multi-Cripto – EMA+Volume (BTC/ETH/BNB/SOL/XRP)", overlay=false)
// Inputs emaFast = input.int(50, "EMA Curta") emaSlow = input.int(200, "EMA Longa") emaPull = input.int(20, "EMA Pullback") volLen = input.int(20, "Média Volume")
symBTC = input.symbol(defval="BINANCE:BTCUSDT", title="BTC") symETH = input.symbol(defval="BINANCE:ETHUSDT", title="ETH") symBNB = input.symbol(defval="BINANCE:BNBUSDT", title="BNB") symSOL = input.symbol(defval="BINANCE:SOLUSDT", title="SOL") symXRP = input.symbol(defval="BINANCE:XRPUSDT", title="XRP")
f_sig(sym) => c = request.security(sym, timeframe.period, close) v = request.security(sym, timeframe.period, volume) e50 = ta.ema(c, emaFast) e200 = ta.ema(c, emaSlow) e20 = ta.ema(c, emaPull) vma = ta.sma(v, volLen) long = (e50 > e200) and (c > e20) and (v > vma) short = (e50 < e200) and (c < e20) and (v > vma)
= f_sig(symBTC) = f_sig(symETH) = f_sig(symBNB) = f_sig(symSOL) = f_sig(symXRP)
// Exibição plotchar(btcL, title="BTC Long", char="▲", location=location.top) plotchar(btcS, title="BTC Short", char="▼", location=location.bottom) plotchar(ethL, title="ETH Long", char="▲", location=location.top) plotchar(ethS, title="ETH Short", char="▼", location=location.bottom) plotchar(bnbL, title="BNB Long", char="▲", location=location.top) plotchar(bnbS, title="BNB Short", char="▼", location=location.bottom) plotchar(solL, title="SOL Long", char="▲", location=location.top) plotchar(solS, title="SOL Short", char="▼", location=location.bottom) plotchar(xrpL, title="XRP Long", char="▲", location=location.top) plotchar(xrpS, title="XRP Short", char="▼", location=location.bottom)
Low Volatility Breakout in Trend
█ OVERVIEW
"Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment.
█ CONCEPTS
The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions.
Why Use It?
* Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments.
* Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter.
* Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis.
* Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets.
How It Works
* Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor).
* Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility).
* Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend).
* Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows.
* Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications.
Settings and Customization
* Volatility Window: Length of the period for calculating the average candle body size (default: 20).
* Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2).
* Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10).
* SMA Length for Trend: Period of the SMA for trend detection (default: 100).
* Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA.
* Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles).
* Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels.
█ OTHER SECTIONS
Usage Examples
* Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high.
* Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones.
Notes for Users
* On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead.
* Adjust parameters to suit the market's characteristics to minimize noise.
* Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Instant Breakout Strategy with RSI & VWAPInstant Breakout Strategy with RSI & VWAP
This TradingView strategy (Pine Script v6) trades breakouts using pivot points, with optional filters for volume, momentum, RSI, and VWAP. It’s optimized for the 1-second timeframe.
Overview
The strategy identifies breakouts when price crosses above resistance (pivot highs) or below support (pivot lows). It can use basic pivot breakouts or add filters for stronger signals. Take-profit and stop-loss levels are set using ATR, and signals are shown on the chart.
Inputs
Left/Right Pivot Bars: Bars to detect pivots (default: 3). Lower values increase sensitivity.
Volume Surge Multiplier: Volume threshold vs. 20-period average (default: 1.5).
Momentum Threshold: Minimum % price change from bar open (default: 1%).
Take-Profit ATR Multiplier: ATR multiplier for take-profit (default: 9.0).
Stop-Loss ATR Multiplier: ATR multiplier for stop-loss (default: 1.0).
Use Filters: Enable/disable volume, momentum, RSI, and VWAP filters (default: off).
How It Works
1. Pivot Detection
Finds pivot highs (resistance) and lows (support) using ta.pivothigh and ta.pivotlow.
Tracks the latest pivot levels.
2. Volume Surge
Compares current volume to a 20-period volume average.
A surge occurs if volume exceeds the average times the multiplier.
3. Momentum
Measures price change from the bar’s open.
Bullish: Price rises >1% from open.
Bearish: Price falls >1% from open.
4. RSI and VWAP
RSI: 3-period RSI. Above 50 is bullish; below 50 is bearish.
VWAP: Price above VWAP is bullish; below is bearish.
5. ATR
14-period ATR sets take-profit (close ± atr * 9.0) and stop-loss (close ± atr * 1.0).
Trading Rules
Breakout Conditions
Bullish Breakout:
Price crosses above the latest pivot high.
With filters: Volume surge, bullish momentum, RSI > 50, price > VWAP.
Without filters: Only the crossover is needed.
Bearish Breakout:
Price crosses below the latest pivot low.
With filters: Volume surge, bearish momentum, RSI < 50, price < VWAP.
Without filters: Only the crossunder is needed.
Entries and Exits
Long: Enter on bullish breakout. Set take-profit and stop-loss. Close any short position.
Short: Enter on bearish breakout. Set take-profit and stop-loss. Close any long position.
Visuals
Signals: Green triangles (bullish) below bars, red triangles (bearish) above bars.
Pivot Levels: Green line (resistance), red line (support).
Indicators: RSI (blue, separate pane), VWAP (purple, on chart).
How to Use
Apply to a 1-second chart in TradingView for best results.
Adjust inputs (e.g., pivot bars, multipliers). Enable filters for stricter signals.
Watch for buy/sell triangles and monitor RSI/VWAP.
Use ATR-based take-profit/stop-loss for risk management.
Notes
Best on 1-second timeframe due to fast RSI and responsiveness.
Disable filters for more signals (less confirmation).
Backtest before live trading to check performance.
This strategy uses pivots, volume, momentum, RSI, and VWAP for clear breakout trades on the 1-second timeframe.
Master Candle# Master Candle Indicator
## Overview
The Master Candle Indicator identifies and highlights significant price consolidation patterns where multiple candles trade within the high-low range of a single "master" candle. This technical analysis tool helps traders spot potential breakout zones and key support/resistance levels.
## What is a Master Candle?
A Master Candle is a candlestick that contains 4 or more subsequent candles completely within its high-low range. These formations often indicate:
- Market consolidation phases
- Potential breakout areas
- Strong support and resistance levels
- Areas of price compression before significant moves
## Features
✅ **Automatic Detection**: Scans historical data to identify Master Candle patterns
✅ **Visual Highlighting**: Draws colored boxes around detected Master Candles
✅ **Customizable Parameters**: Adjust minimum candles required (2-20)
✅ **Candle Counter**: Shows exact number of candles contained within each Master Candle
✅ **Performance Optimized**: Efficient lookback system with memory management
✅ **Clean Interface**: Non-intrusive visual design that doesn't clutter charts
## How to Use
1. Add the indicator to your chart
2. Adjust the "Minimum candles inside" parameter (default: 4)
3. Set the lookback period for historical scanning (default: 50)
4. Master Candles will be automatically highlighted with colored boxes
5. Use these levels as potential support/resistance zones for your trading strategy
## Settings
- **Minimum candles inside**: Set how many candles must be contained (2-20)
- **Lookback period**: How far back to scan for patterns (10-200 bars)
## Educational Purpose
This indicator is designed for educational and analysis purposes. It helps traders:
- Understand market consolidation patterns
- Identify potential breakout zones
- Recognize key support and resistance areas
- Improve market structure analysis skills
## Technical Details
- Compatible with all timeframes
- Works on any trading instrument
- Optimized for performance with automatic memory management
- Uses historical data analysis for pattern detection
## Important Notes
- This indicator is for educational and analytical purposes only
- Past patterns do not guarantee future results
- Always combine with other analysis tools
- Practice proper risk management in your trading
- Not financial advice - for educational use only
FlowStateTrader FlowState Trader - Advanced Time-Filtered Strategy
## Overview
FlowState Trader is a sophisticated algorithmic trading strategy that combines precision entry signals with intelligent time-based filtering and adaptive risk management. Built for traders seeking to achieve their optimal performance state, FlowState identifies high-probability trading opportunities within user-defined time windows while employing dynamic trailing stops and partial position management.
## Core Strategy Philosophy
FlowState Trader operates on the principle that peak trading performance occurs when three elements align: **Focus** (precise entry signals), **Flow** (optimal time windows), and **State** (intelligent position management). This strategy excels at finding reversal opportunities at key support and resistance levels while filtering out suboptimal trading periods to keep traders in their optimal flow state.
## Key Features
### 🎯 Focus Entry System
**Support/Resistance Zone Trading**:
- Dynamic identification of key price levels using configurable lookback periods
- Entry signals triggered when price interacts with these critical zones
- Volume confirmation ensures genuine breakout/reversal momentum
- Trend filter alignment prevents counter-trend disasters
**Entry Conditions**:
- **Long Signals**: Price closes above support buffer, touches support level, with above-average volume
- **Short Signals**: Price closes below resistance buffer, touches resistance level, with above-average volume
- Optional trend filter using EMA or SMA for directional bias confirmation
### ⏰ FlowState Time Filtering System
**Comprehensive Time Controls**:
- **12-Hour Format Trading Windows**: User-friendly AM/PM time selection
- **Multi-Timezone Support**: UTC, EST, PST, CST with automatic conversion
- **Day-of-Week Filtering**: Trade only weekdays, weekends, or both
- **Lunch Hour Avoidance**: Automatically skips low-volume lunch periods (12-1 PM)
- **Visual Time Indicators**: Background coloring shows active/inactive trading periods
**Smart Time Features**:
- Handles overnight trading sessions seamlessly
- Prevents trades during historically poor performance periods
- Customizable trading hours for different market sessions
- Real-time trading window status in dashboard
### 🛡️ Adaptive Risk Management
**Multi-Level Take Profit System**:
- **TP1**: First profit target with optional partial position closure
- **TP2**: Final profit target for remaining position
- **Flexible Scaling**: Choose number of contracts to close at each level
**Dynamic Trailing Stop Technology**:
- **Three Operating Modes**:
- **Conservative**: Earlier activation, tighter trailing (protect profits)
- **Balanced**: Optimal risk/reward balance (recommended)
- **Aggressive**: Later activation, wider trailing (let winners run)
- **ATR-Based Calculations**: Adapts to current market volatility
- **Automatic Activation**: Engages when position reaches profitability threshold
### 📊 Intelligent Position Sizing
**Contract-Based Management**:
- Configurable entry quantity (1-1000 contracts)
- Partial close quantities for profit-taking
- Clear position tracking and P&L monitoring
- Real-time position status updates
### 🎨 Professional Visualization
**Enhanced Chart Elements**:
- **Entry Zone Highlighting**: Clear visual identification of trading opportunities
- **Dynamic Risk/Reward Lines**: Real-time TP and SL levels with price labels
- **Trailing Stop Visualization**: Live tracking of adaptive stop levels
- **Support/Resistance Lines**: Key level identification
- **Time Window Background**: Visual confirmation of active trading periods
**Dual Dashboard System**:
- **Strategy Dashboard**: Real-time position info, settings status, and current levels
- **Performance Scorecard**: Live P&L tracking, win rates, and trade statistics
- **Customizable Sizing**: Small, Medium, or Large display options
### ⚙️ Comprehensive Customization
**Core Strategy Settings**:
- **Lookback Period**: Support/resistance calculation period (5-100 bars)
- **ATR Configuration**: Period and multipliers for stops/targets
- **Reward-to-Risk Ratios**: Customizable profit target calculations
- **Trend Filter Options**: EMA/SMA selection with adjustable periods
**Time Filter Controls**:
- **Trading Hours**: Start/end times in 12-hour format
- **Timezone Selection**: Four major timezone options
- **Day Restrictions**: Weekend-only, weekday-only, or unrestricted
- **Session Management**: Lunch hour avoidance and custom periods
**Risk Management Options**:
- **Trailing Stop Modes**: Conservative/Balanced/Aggressive presets
- **Partial Close Settings**: Enable/disable with custom quantities
- **Alert System**: Comprehensive notifications for all trade events
### 📈 Performance Tracking
**Real-Time Metrics**:
- Net profit/loss calculation
- Win rate percentage
- Profit factor analysis
- Maximum drawdown tracking
- Total trade count and breakdown
- Current position P&L
**Trade Analytics**:
- Winner/loser ratio tracking
- Real-time performance scorecard
- Strategy effectiveness monitoring
- Risk-adjusted return metrics
### 🔔 Alert System
**Comprehensive Notifications**:
- Entry signal alerts with price and quantity
- Take profit level hits (TP1 and TP2)
- Stop loss activations
- Trailing stop engagements
- Position closure notifications
## Strategy Logic Deep Dive
### Entry Signal Generation
The strategy identifies high-probability reversal points by combining multiple confirmation factors:
1. **Price Action**: Looks for price interaction with key support/resistance levels
2. **Volume Confirmation**: Ensures sufficient market interest and liquidity
3. **Trend Alignment**: Optional filter prevents counter-trend positions
4. **Time Validation**: Only trades during user-defined optimal periods
5. **Zone Analysis**: Entry occurs within calculated buffer zones around key levels
### Risk Management Philosophy
FlowState Trader employs a three-tier risk management approach:
1. **Initial Protection**: ATR-based stop losses set at strategy entry
2. **Profit Preservation**: Trailing stops activate once position becomes profitable
3. **Scaled Exit**: Partial profit-taking allows for both security and potential
### Time-Based Edge
The time filtering system recognizes that not all trading hours are equal:
- Avoids low-volume, high-spread periods
- Focuses on optimal liquidity windows
- Prevents trading during news events (lunch hours)
- Allows customization for different market sessions
## Best Practices and Optimization
### Recommended Settings
**For Scalping (1-5 minute charts)**:
- Lookback Period: 10-20
- ATR Period: 14
- Trailing Stop: Conservative mode
- Time Filter: Major session hours only
**For Day Trading (15-60 minute charts)**:
- Lookback Period: 20-30
- ATR Period: 14-21
- Trailing Stop: Balanced mode
- Time Filter: Extended trading hours
**For Swing Trading (4H+ charts)**:
- Lookback Period: 30-50
- ATR Period: 21+
- Trailing Stop: Aggressive mode
- Time Filter: Disabled or very broad
### Market Compatibility
- **Forex**: Excellent for major pairs during active sessions
- **Stocks**: Ideal for liquid stocks during market hours
- **Futures**: Perfect for index and commodity futures
- **Crypto**: Effective on major cryptocurrencies (24/7 capability)
### Risk Considerations
- **Market Conditions**: Performance varies with volatility regimes
- **Timeframe Selection**: Lower timeframes require tighter risk management
- **Position Sizing**: Never risk more than 1-2% of account per trade
- **Backtesting**: Always test on historical data before live implementation
## Educational Value
FlowState serves as an excellent learning tool for:
- Understanding support/resistance trading
- Learning proper time-based filtering
- Mastering trailing stop techniques
- Developing systematic trading approaches
- Risk management best practices
## Disclaimer
This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly backtest the strategy and understand all risks before live trading. Always use proper position sizing and never risk more than you can afford to lose.
---
*FlowState Trader represents the evolution of systematic trading - combining classical technical analysis with modern risk management and intelligent time filtering to help traders achieve their optimal performance state through systematic, disciplined execution.*
Smarter Money Concepts - Wyckoff Springs & Upthrusts [PhenLabs]📊Smarter Money Concepts - Wyckoff Springs & Upthrusts
Version: PineScript™v6
📌Description
Discover institutional manipulation in real-time with this advanced Wyckoff indicator that detects Springs (accumulation phases) and Upthrusts (distribution phases). It identifies when price tests support or resistance on high volume, followed by a strong recovery, signaling potential reversals where smart money accumulates or distributes positions. This tool solves the common problem of missing these subtle phase transitions, helping traders anticipate trend changes and avoid traps in volatile markets.
By combining volume spike detection, ATR-normalized recovery strength, and a sigmoid probability model, it filters out weak signals and highlights only high-confidence setups. Whether you’re swing trading or day trading, this indicator provides clear visual cues to align with institutional flows, improving entry timing and risk management.
🚀Points of Innovation
Sigmoid-based probability threshold for signal filtering, ensuring only statistically significant Wyckoff patterns trigger alerts
ATR-normalized recovery measurement that adapts to market volatility, unlike static recovery checks in traditional indicators
Customizable volume spike multiplier to distinguish institutional volume from retail noise
Integrated dashboard legend with position and size options for personalized chart visualization
Hidden probability plots for advanced users to analyze underlying math without chart clutter
🔧Core Components
Support/Resistance Calculator: Scans a user-defined lookback period to establish dynamic levels for Spring and Upthrust detection
Volume Spike Detector: Compares current volume to a 10-period SMA, multiplied by a configurable factor to identify significant surges
Recovery Strength Analyzer: Uses ATR to measure price recovery after breaks, normalizing for different market conditions
Probability Model: Applies sigmoid function to combine volume and recovery data, generating a confidence score for each potential signal
🔥Key Features
Spring Detection: Spots accumulation when price dips below support but recovers strongly, helping traders enter longs at potential bottoms
Upthrust Detection: Identifies distribution when price spikes above resistance but falls back, alerting to possible short opportunities at tops
Customizable Inputs: Adjust lookback, volume multiplier, ATR period, and probability threshold to match your trading style and market
Visual Signals: Clear + (green) and - (red) labels on charts for instant recognition of accumulation and distribution phases
Alert System: Triggers notifications for signals and probability thresholds, keeping you informed without constant monitoring
🎨Visualization
Spring Signal: Green upward label (+) below the bar, indicating strong recovery after support break for accumulation
Upthrust Signal: Red downward label (-) above the bar, showing failed breakout above resistance for distribution
Dashboard Legend: Customizable table explaining signals, positioned anywhere on the chart for quick reference
📖Usage Guidelines
Core Settings
Support/Resistance Lookback
Default: 20
Range: 5-50
Description: Sets bars back for S/R levels; lower for recent sensitivity, higher for stable long-term zones – ideal for spotting Wyckoff phases
Volume Spike Multiplier
Default: 1.5
Range: 1.0-3.0
Description: Multiplies 10-period volume SMA; higher values filter to significant spikes, confirming institutional involvement in patterns
ATR for Recovery Measurement
Default: 5
Range: 2-20
Description: ATR period for recovery strength; shorter for volatile markets, longer for smoother analysis of post-break recoveries
Phase Transition Probability Threshold
Default: 0.9
Range: 0.5-0.99
Description: Minimum sigmoid probability for signals; higher for strict filtering, ensuring only high-confidence Wyckoff setups
Display Settings
Dashboard Position
Default: Top Right
Range: Various positions
Description: Places legend table on chart; choose based on layout to avoid overlapping price action
Dashboard Text Size
Default: Normal
Range: Auto to Huge
Description: Adjusts legend text; larger for visibility, smaller for minimal space use
✅Best Use Cases
Swing Trading: Identify Springs for long entries in downtrends turning to accumulation
Day Trading: Catch Upthrusts for short scalps during intraday distribution at resistance
Trend Reversal Confirmation: Use in conjunction with other indicators to validate phase shifts in ranging markets
Volatility Plays: Spot signals in high-volume environments like news events for quick reversals
⚠️Limitations
May produce false signals in low-volume or sideways markets where volume spikes are unreliable
Depends on historical data, so performance varies in unprecedented market conditions or gaps
Probability model is statistical, not predictive, and cannot account for external factors like news
💡What Makes This Unique
Probability-Driven Filtering: Sigmoid model combines multiple factors for superior signal quality over basic Wyckoff detectors
Adaptive Recovery: ATR normalization ensures reliability across assets and timeframes, unlike fixed-threshold tools
User-Centric Design: Tooltips, customizable dashboard, and alerts make it accessible yet powerful for all trader levels
🔬How It Works
Calculate S/R Levels:
Uses the highest high and the lowest low over the lookback period to set dynamic zones
Establishes baseline for detecting breaks in Wyckoff patterns
Detect Breaks and Recovery:
Checks for price breaking support/resistance, then recovering on volume
Measures recovery strength via ATR for volatility adjustment
Apply Probability Model:
Combines volume spike and recovery into a sigmoid function for confidence score
Triggers signal only if above threshold, plotting visuals and alerts
💡Note:
For optimal results, combine with price action analysis and test settings on historical charts. Remember, Wyckoff patterns are most effective in trending markets – use lower probability thresholds for practice, then increase for live trading to focus on high-quality setups.
Range Percent Histogram📌 Range Percent Histogram – Indicator Description
The Range Percent Histogram is a custom indicator that behaves like a traditional volume histogram, but instead of showing traded volume it displays the percentage range of each candle.
In other words, the height of each bar represents how much the price moved (in percentage terms) within that candle, from its low to its high.
🔧 What it shows
The indicator has two main components:
Component Description
Histogram Bars Columns plotted in red or green depending on the candle direction (green = bullish candle, red = bearish). The height of each bar = (high - low) / low * 100. That means a candle that moved, for example, 1 % from its lowest point to its highest point will show a bar with 1 % height.
Moving Average (optional) A 20-period Simple Moving Average applied directly to the bar values. It can be turned ON/OFF via a checkbox and helps you detect whether current range activity is above or below the average range of the past candles.
⚙️ How it works
Every time a new candle closes, the indicator calculates its range and converts it into a percentage.
This value is drawn as a column under the chart.
If the closing price is above the opening price → the bar is green (bullish range).
If the closing price is below the opening price → the bar is red (bearish range).
When the Show Moving Average option is enabled, a smooth line is plotted on top of the histogram representing the average percentage range of the last 20 candles.
📈 How to use it
This indicator is very helpful for detecting moments of range expansion or contraction.
One powerful way to use it is similar to a volume exhaustion / low-volume pattern:
Situation Interpretation
Consecutive bars with very low height Price is in a period of low volatility → possible accumulation or "pause" phase.
A sudden large bar after a series of small ones Indicates a strong pickup in volatility → often marks the start of a new impulse in the direction of the breakout.
RRG Relative Strength# RRG Relative Strength (RRG RS)
Compare any symbol to a benchmark using two RRG-style lines: **RS-Ratio** (trend of relative strength) and **RS-Momentum** (momentum of that trend). Both are centered at **100**:
- **RS-Ratio > 100** → outperforming the benchmark
- **RS-Ratio < 100** → underperforming
- **RS-Momentum** often **leads** RS-Ratio (crosses 100 earlier)
# How it works
1) Relative Strength (RS): RS = Close(symbol) / Close(benchmark)
2) Normalize around 100: smooth RS with EMA and divide RS by that EMA
3) RS-Ratio: EMA( RS / EMA(RS, Length), LenSmooth ) * 100
4) RS-Momentum: RS-Ratio / EMA(RS-Ratio, LenSmooth) * 100
# Inputs
- Length (default 14): normalization window for RS
- Length Smooth (default 20): smoothing window for RS-Ratio & RS-Momentum
# Benchmark (auto)
- US: SP:SPX (S&P 500)
- Vietnam: HOSE:VNINDEX
- Crypto: INDEX:BTCUSD
(Modify the mapping if needed, or replace with your own input.symbol().)
# How to read
- Improving: RS-Momentum crosses above 100 while RS-Ratio turns up
- Leading: RS-Ratio > 100 with RS-Momentum ≥ 100
- Weakening: RS-Momentum drops below 100; RS-Ratio often follows
# Timeframes & presets
- Works on Daily and Weekly charts
- Daily (fast): 14 / 20
- Approx. weekly behavior on Daily: 50 / 60
Note: Values usually hover near 100 (e.g., ~90–110) but are not strictly bounded. Ensure your symbol and benchmark trade in comparable sessions/currencies.
