Vertical Lines: 5, 20, 50, 200 Days Back - 30 minutesVerticals lines to indicate 5, 20, 50, and 200 day marks on a 30 minute chart. Used in Swing trading with multi-timeframe approach to mark the levels.
Generated using Claude.
Cerca negli script per "swing trading"
Futures EMA 9×20 Scanner (Daily + 4H + 15m)This script is to facilitate the swing trading in 15min TF using the Daily and 4H.
Market Profile Dominance Analyzer# Market Profile Dominance Analyzer
## 📊 OVERVIEW
**Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system.
This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics.
## 🎯 WHAT MAKES THIS ORIGINAL
### **Hybrid Analytical Approach**
This indicator uniquely combines two separate methodologies that are typically analyzed independently:
1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes
2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index
### **Six-Factor Composite Analysis**
The dominance score integrates:
- Price position relative to POC (equilibrium assessment)
- Price position relative to Value Area boundaries (acceptance/rejection zones)
- Volume imbalance within Value Area (institutional bias detection)
- Price momentum (directional strength)
- Volume trend comparison (participation analysis)
- Normalized Value Area position (precise location within fair value zone)
### **Adaptive Higher Timeframe Integration**
The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed.
## 💡 HOW IT WORKS
### **Market Profile Construction**
The indicator builds a Market Profile structure on a higher timeframe by:
1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries
2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session
3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows)
4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched
### **Key Level Calculation**
**Point of Control (POC)**
- Identifies the price channel with the highest accumulated volume
- Represents the price level where the most trading activity occurred
- Serves as a magnetic level where price often returns
**Value Area (VA)**
- Starts at POC and expands both upward and downward
- Includes channels until reaching the specified percentage of total volume (default: 70%)
- Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity
- Defines the "fair value" zone where most market participants agreed to trade
### **Dominance Score Formula**
```
Dominance Score = (price_vs_poc × 10) +
(price_vs_va × 5) +
(volume_imbalance × 0.5) +
(price_momentum × 100) +
(volume_trend × 5) +
(va_position × 15)
```
**Component Breakdown:**
- **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium)
- **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA
- **volume_imbalance**: Percentage difference between upper and lower VA volumes
- **price_momentum**: 5-period SMA of price change (directional acceleration)
- **volume_trend**: Compares 5-period vs 20-period volume averages
- **va_position**: Normalized position within Value Area (-1 to +1)
The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness.
### **Market State Determination**
- **BUYERS Dominant**: Smooth dominance > +10 (bullish control)
- **SELLERS Dominant**: Smooth dominance < -10 (bearish control)
- **NEUTRAL**: Between -10 and +10 (balanced market)
## 📈 HOW TO USE THIS INDICATOR
### **Trend Identification**
- **Green background** indicates buyers are in control - look for long opportunities
- **Red background** indicates sellers are in control - look for short opportunities
- **Gray background** indicates neutral market - consider range-bound strategies
### **Signal Interpretation**
**Buy Signals** (green triangle) appear when:
- Dominance crosses above -10 from oversold conditions
- Previous state was not already bullish
- Suggests shift from seller to buyer control
**Sell Signals** (red triangle) appear when:
- Dominance crosses below +10 from overbought conditions
- Previous state was not already bearish
- Suggests shift from buyer to seller control
### **Value Area Context**
Monitor the information table (top-right) to understand market structure:
- **Price vs POC**: Shows if trading above/below equilibrium
- **Volume Imbalance**: Positive values favor buyers, negative favors sellers
- **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL)
### **Multi-Timeframe Strategy**
The auto-timeframe feature analyzes higher timeframe structure:
- On 1-minute charts → analyzes 2-hour structure
- On 5-minute charts → analyzes Daily structure
- On 15-minute charts → analyzes Weekly structure
- On Daily charts → analyzes Yearly structure
This higher timeframe context helps avoid counter-trend trades against the dominant force.
### **Confluence Trading**
Strongest signals occur when multiple factors align:
1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup
2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup
3. Price at POC + neutral state = Potential breakout/breakdown pivot
## ⚙️ INPUT PARAMETERS
- **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection
- **Value Area %**: Percentage of volume contained in VA (default: 70%)
- **Show Buy/Sell Signals**: Toggle signal triangles visibility
- **Show Dominance Histogram**: Toggle histogram display
- **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5)
- **Number of Channels**: Market Profile resolution (10-50, default: 20)
- **Color Settings**: Customize buyer, seller, and neutral colors
## 🎨 VISUAL ELEMENTS
- **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers)
- **Zero Line**: Neutral equilibrium reference
- **Overbought/Oversold Lines**: ±50 levels marking extreme dominance
- **Background Color**: Highlights current market state
- **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume)
- **Signal Shapes**: Triangle markers for buy/sell signals
## 🔔 ALERTS
The indicator includes three alert conditions:
1. **Buyers Dominate** - Fires on buy signal crossovers
2. **Sellers Dominate** - Fires on sell signal crossovers
3. **Dominance Shift** - Fires when dominance crosses zero line
## 📊 BEST PRACTICES
### **Timeframe Selection**
- **Scalping (1-5min)**: Focus on 2H-4H dominance shifts
- **Day Trading (15-60min)**: Monitor Daily and Weekly structure
- **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance
### **Confirmation Strategies**
1. **Trend Following**: Enter in direction of dominance above/below ±20
2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price
3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume
### **Risk Management**
- Avoid trading during NEUTRAL states (dominance between -10 and +10)
- Use POC levels as logical stop-loss placement
- Consider VAH/VAL as profit targets for mean reversion
## ⚠️ LIMITATIONS & WARNINGS
**Data Requirements**
- Requires sufficient historical data on current chart (minimum 100 bars recommended)
- Lower timeframes may show fewer bars per HTF session initially
- More accurate results after several complete HTF sessions have formed
**Not a Standalone System**
- This indicator analyzes market structure and participant control
- Should be combined with price action, support/resistance, and risk management
- Does not guarantee profitable trades - past dominance does not predict future results
**Repainting Characteristics**
- Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session
- Dominance score recalculates with each new bar
- Historical signals remain fixed, but current session data is developing
**Volume Limitations**
- Uses exchange-provided volume data which varies by instrument type
- Forex and some CFDs use tick volume (not actual transaction volume)
- Most accurate on instruments with reliable volume data (stocks, futures, crypto)
## 🔍 TECHNICAL NOTES
**Performance Optimization**
- Uses `max_bars_back=5000` for extended historical analysis
- Efficient array management prevents memory issues
- Automatic cleanup of session data on new period
**Calculation Method**
- Market Profile uses actual volume distribution, not TPO (Time Price Opportunity)
- Value Area expansion follows traditional Market Profile auction theory
- All calculations occur on the chart's current symbol and timeframe
## 📚 EDUCATIONAL VALUE
This indicator helps traders understand:
- How institutional traders use Market Profile to identify fair value
- The relationship between price, volume, and market acceptance
- Multi-factor analysis techniques for assessing market conditions
- The importance of higher timeframe structure in trade planning
## 🎓 RECOMMENDED READING
To better understand the concepts behind this indicator:
- "Mind Over Markets" by James Dalton (Market Profile foundations)
- "Markets in Profile" by James Dalton (Value Area analysis)
- Volume Profile analysis in institutional trading
## 💬 USAGE TERMS
This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence.
Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Average Dollar Volume by Mashrab
Standard Mode: By default, it shows a 20-period SMA of the Dollar Volume. This is great for swing trading to see if money flow is increasing over days.
Day Trading Mode: Go to the indicator settings (User Input) and check "Reset Average Daily".
The line will now represent the Cumulative Average for today only.
Example: If it's 10:00 AM, the line shows the average dollar volume per bar since the market opened at 9:30 AM. This helps you spot if the current 5-minute bar is truly igniting compared to the rest of the morning.
How to Use for Day Trading
Add the script to your 1-minute chart.
Ensure "Reset Average Daily" is checked in the settings (I made it default to true for you).
Look at the Table in the top right:
Avg Dollar Vol: This tells you the average money flowing into the stock per minute today.
1% Threshold: This gives you the exact number your friend likely uses to gauge "minimum viable liquidity" or specific risk calculations.
ATR Channel (Bottom & Top)The ATR Channel (Bottom & Top) indicator dynamically visualizes market volatility zones based on the Average True Range (ATR). It automatically builds adaptive upper and lower boundaries around the current price, helping traders identify potential market extremes, volatility-driven reversals, and dynamic support/resistance levels.
This version is specifically optimized for Bitcoin (BTCUSDT) but works with any asset or timeframe.
⚙️ How It Works
The indicator calculates ATR over a user-defined period (default 200) and applies separate multipliers for the top and bottom bands (default ×1).
The Top Band = Close + (ATR × Multiplier)
The Bottom Band = Close - (ATR × Multiplier)
These two adaptive bands create a volatility envelope, allowing traders to visualize where the price may encounter potential exhaustion or reversal zones.
💡 Signal Logic
LONG Signal (Green Tab):
Triggered when the low of the candle touches or dips below the ATR bottom line — suggesting a possible oversold or volatility-based bottoming area.
The label displays the exact ATR line value (not the close), formatted for better readability (e.g. “LONG\n103 885”).
SELL Signal (Red Tab):
Triggered when the high of the candle touches or exceeds the ATR top line — signaling possible overbought conditions or an exhaustion zone.
Signal Filtering:
The script intelligently avoids duplicate signals — e.g., multiple consecutive LONGs or SELLs will not appear until the opposite signal is triggered.
This ensures cleaner visualization and reduces signal noise during consolidation periods.
🎯 Features
✅ Adaptive ATR-based volatility channel
✅ Automatic LONG/SELL signal labeling with real ATR-touch prices
✅ Customizable parameters:
✅ Intelligent filtering (one signal per phase)
✅ Works on any market and timeframe (crypto, forex, indices, stocks)
🧭 Trading Applications
Identify volatility extremes (ATR-based overbought/oversold zones)
Detect reversal points or exhaustion moves after extended trends
Use with trend filters (e.g. EMA200) to confirm trend continuation vs mean reversion setups
Combine with oscillators (RSI, Stoch) for confluence signals
📊 Summary
The ATR Channel (Bottom & Top) provides a clear, professional-grade visualization of volatility dynamics and price extremes.
It is especially useful for traders using mean-reversion, volatility breakout, or swing-trading strategies — helping them identify statistically significant reaction zones and improving trade timing precision.
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
MACD crossover while RSI Oversold/Overbought# MACD Crossover with RSI Overbought/Oversold Indicator Explained
## Indicator Overview
This is a trading signal system that combines two classic technical indicators: **MACD (Moving Average Convergence Divergence)** and **RSI (Relative Strength Index)**. Its core logic is: MACD crossover signals are only triggered when RSI is in extreme zones (overbought/oversold), thereby filtering out many false signals and improving trading accuracy.
## Core Principles
### 1. **Dual Confirmation Mechanism**
This indicator doesn't use MACD or RSI alone, but requires both conditions to be met simultaneously:
- **Short Signal (Orange Triangle)**: MACD bearish crossover (fast line crosses below signal line) + RSI was overbought (≥71)
- **Long Signal (Green Triangle)**: MACD bullish crossover (fast line crosses above signal line) + RSI was oversold (≤29)
### 2. **RSI Memory Function**
The indicator checks the RSI values of the current and past 5 candlesticks. As long as any one of them reaches the overbought/oversold level, the condition is satisfied. This design avoids overly strict requirements, as RSI may have already left the extreme zone before the MACD crossover occurs.
```pine
wasOversold = rsi <= 29 or rsi <= 29 or ... or rsi <= 29
wasOverbought = rsi >= 71 or rsi >= 71 or ... or rsi >= 71
```
## Parameter Settings
### MACD Parameters
- **Fast MA**: 12 periods (adjustable 7-∞)
- **Slow MA**: 26 periods (adjustable 7-∞)
- **Signal Line**: 9 periods
### RSI Parameters
- **Oversold Threshold**: 29 (traditional 30)
- **Overbought Threshold**: 71 (traditional 70)
- **Calculation Period**: 14
## Visual Elements
### 1. **Signal Markers**
- 🔻 **Orange Downward Triangle**: Appears above the candlestick, labeled "overbought", indicating a shorting opportunity
- 🔺 **Green Upward Triangle**: Appears below the candlestick, labeled "oversold", indicating a long opportunity
### 2. **Price Level Lines**
- **Orange Dashed Line**: Extends rightward from the high of the short signal, serving as a potential resistance level
- **Green Dashed Line**: Extends rightward from the low of the long signal, serving as a potential support level
Each time a new signal appears, the old level line is deleted, keeping only the most recent reference line.
## Trading Logic Explained
### Short Signal Scenario
1. Price rises, RSI surges above 71 (market overheated)
2. Momentum subsequently weakens, MACD fast line crosses below signal line
3. Indicator draws an orange triangle at the high, alerting to reversal risk
4. Orange dashed line marks the high point of the short entry position
### Long Signal Scenario
1. Price falls, RSI drops below 29 (market oversold)
2. Selling pressure exhausted, MACD fast line crosses above signal line
3. Indicator draws a green triangle at the low, suggesting a rebound opportunity
4. Green dashed line marks the low point of the long entry position
## Advantages and Limitations
### ✅ Advantages
- **Filters Noise**: Reduces false signals through dual confirmation
- **Captures Reversals**: Catches trend reversals in extreme conditions
- **Visual Clarity**: Level lines help identify support/resistance
- **Built-in Alerts**: Can set up message push notifications
### ⚠️ Limitations
- **Lag**: Both indicators are lagging, signals may be delayed
- **Poor Performance in Ranging Markets**: Prone to whipsaws during consolidation
- **Needs Other Analysis**: Should not be the sole decision-making basis
- **Parameter Sensitivity**: Different markets and timeframes may require parameter adjustments
## Practical Trading Suggestions
1. **Confirm Trend Context**: Counter-trend signals carry high risk in strong trending markets
2. **Combine with Candlestick Patterns**: Confirm with patterns (such as engulfing, hammer candles)
3. **Set Stop Losses**: Use level lines as stop-loss references (long stop below green line, short stop above orange line)
4. **Watch Volume**: Signals accompanied by high volume are more reliable
5. **Multi-Timeframe Verification**: Signals appearing simultaneously on daily and 4-hour charts are more credible
## Summary
This indicator follows the "mean reversion from extremes" philosophy, seeking reversal opportunities when market sentiment becomes excessive. It's suitable for auxiliary judgment, particularly in swing trading and position trading strategies. But remember, no indicator is perfect—always combine risk management and multi-dimensional analysis when making trading decisions
Momentum Squeeze Candle [Darwinian]# Momentum Squeeze Candle
Professional squeeze detection indicator with Wyckoff accumulation/distribution analysis and multi-method momentum signals.
## Overview
Identifies volatility compression (squeeze) periods and provides intelligent momentum direction signals based on institutional accumulation/distribution patterns.
## Features
6 Squeeze Detection Methods:
• BB + KC (Classic) - John Carter's TTM Squeeze
• ATR Ratio - Volatility compression detection
• Choppiness Index - Ranging vs trending analysis
• BB Width - Bollinger Band contraction
• Volume Contraction - Drying volume detection
• Hybrid Multi-Method - Ensemble approach (3+ methods must agree)
Smart Momentum Direction:
• Priority 1: Wyckoff signals (ATR compression + volume analysis)
• Priority 2: RSI momentum (55/45 thresholds)
• Priority 3: Hybrid slope + momentum confirmation
Visual Indicators:
• Blue candle coloring during squeeze
• Green circles = Bullish momentum (accumulation detected)
• Red circles = Bearish momentum (distribution detected)
• Optional BB/KC band overlay
## How It Works
Wyckoff Accumulation (Bullish):
ATR compressing + volume drying + price holding above MA = Smart money accumulating
→ Green circle signals
Wyckoff Distribution (Bearish):
ATR expanding + volume surging + price failing below MA = Smart money distributing
→ Red circle signals
## Recommended Settings
Swing Trading (Daily/4H):
Method: BB + KC or Hybrid | Sensitivity: 1.2-1.5
Day Trading (15m-1H):
Method: ATR Ratio or BB Width | Sensitivity: 0.8-1.0
Scalping (1m-5m):
Method: Volume Contraction | Sensitivity: 0.7-0.9
High Probability:
Method: Hybrid Multi-Method | Min Score: 4/5 | Sensitivity: 1.5
## Key Advantages
✓ Multiple squeeze detection algorithms for different market conditions
✓ Wyckoff methodology for institutional activity detection
✓ Priority-based momentum system reduces false signals
✓ Clean, optimized code (70% faster than typical indicators)
✓ Fully customizable sensitivity and visual settings
## Usage
1. Choose squeeze detection method based on your trading style
2. Watch for blue candles (squeeze active)
3. Monitor momentum signals:
- Green circles below bars = Accumulation phase (bullish)
- Red circles below bars = Distribution phase (bearish)
4. Trade the breakout in the direction of momentum signals
## Notes
• All inputs hidden from status line by default for clean charts
• Works on all timeframes and asset classes
• Combine with your trading strategy for confirmation
• Best results when multiple priority signals align
Perfect for traders looking to identify consolidation periods and predict breakout direction using institutional accumulation/distribution patterns.
Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform
Overview
An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives.
Evolution Beyond Traditional Fisher Transform
While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements:
- Multi-period composite instead of single timeframe analysis
- Robust z-score normalization using median/MAD rather than mean/standard deviation
- Winsorization to handle outliers and price spikes
- Dynamic clipping that adapts to market volatility
- Kalman filtering for superior noise reduction vs. traditional EMA smoothing
These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform.
Key Features
Multi-Period Analysis
- Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods
- Weighted Composite: Combines all three periods using customizable weights for optimal signal generation
- Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis
Advanced Statistical Methods
Robust Z-Score Calculation
- Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation
- More resistant to outliers and extreme price movements
- Provides stable normalization across varying market conditions
Winsorization
- Caps extreme price values at specified percentiles (default 5th and 95th)
- Reduces the impact of price spikes and anomalies
- Configurable lookback period for threshold calculation
Dynamic Z-Score Clipping
- Automatically adjusts clipping levels based on recent volatility
- Tighter bounds in calm markets (0.05) for precision
- Wider bounds in volatile markets (0.2) to capture significant moves
- Uses ATR-based volatility measurement
Kalman Filter Smoothing
- Optional advanced noise reduction using Kalman filtering
- Superior to traditional EMA smoothing for optimal signal extraction
- Configurable process noise (Q) and measurement noise (R) parameters
- Fallback to traditional smoothing factor available
How to Use
Basic Interpretation
- Above Zero: Bullish momentum
- Below Zero: Bearish momentum
- Extreme Values: Potential overbought/oversold conditions
- Crossovers: Entry/exit signals when composite crosses trigger line
Customizable Settings
Periods: Adjust based on your trading timeframe
- Lower values (3-10): More sensitive, suitable for scalping
- Medium values (10-20): Balanced for swing trading
- Higher values (20-50): Smoother for position trading
Weights: Customize responsiveness
- Increase short weight: More reactive to recent price changes
- Increase long weight: More stability and trend confirmation
Kalman Settings
- Lower Q (0.001-0.02): Smoother, more filtered signals
- Higher Q (0.02-0.1): More responsive to price changes
- Lower R (0.01-0.05): Trust data more, less filtering
- Higher R (0.1-1.0): More skeptical of data, more smoothing
Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology...
Analysis of the balance of power between buyers and sellers with price predictions
What This Indicator Does
The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail:
Main Features:
Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power
Price Predictions: Estimates next closing level based on current momentum
Market State Detection: Identifies 5 different market conditions
Visual Signals: Shows directional arrows and price targets
How the Trading Logic Works
Power Balance Calculation:
Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars
Calculates Momentum - Uses ATR-normalized momentum to measure trend strength
Determines Market State - Assigns one of 5 market states based on conditions
Market States:
Bull Control: Strong uptrend (75% buyer power)
Bear Control: Strong downtrend (75% seller power)
Buying Pressure: Bullish pressure (65% buyer power)
Selling Pressure: Bearish pressure (65% seller power)
Balance Area: Market in equilibrium (50/50)
Prediction System:
Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction
Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction
Price Target: Based on ATR multiplied by timeframe factor
Configurable Parameters:
Analysis Sensitivity (5-50): Controls how responsive the indicator is
Low values (5-15): More sensitive, ideal for scalping
High values (30-50): More stable, ideal for swing trading
Table Position: Choose from 9 positions to display the data table
Trading Signals:
Green Triangle ▲: Bullish signal, price expected to increase
Green Triangle ▼: Bearish signal, price expected to decrease
Dashed Line: Shows the price target projection
Label: Displays the exact target value
Recommended Timeframes:
Lower Timeframes (1-15 minutes):
Sensitivity: 10-20
Automatic Low TF mode
Higher Timeframes (1 hour - 1 day):
Sensitivity: 25-40
Automatic High TF mode
Important Notes:
Always use this indicator in combination with:
Market context analysis
Proper risk management
Confirmation from other indicators
Mandatory stop losses
The indicator works best in trending markets and may be less effective during extreme consolidation periods.
Analog Flow [KedArc Quant]Overview
AnalogFlow is an advanced analogue based market projection engine that reconstructs future price tendencies by matching current price behavior to historical analogues in the same instrument. Instead of using traditional indicators such as moving averages, RSI, or regression, AnalogFlow applies pattern vector similarity analysis - a data driven technique that identifies historically similar sequences and aggregates their subsequent movements into a smooth, forward looking curve.
Think of it as a market memory system:
If the current pattern looks like one we have seen before, how did price move afterward?
Why AnalogFlow Is Unique
1. Pattern centric - it does not rely on any standard indicator formula; it directly analyzes price movement vectors.
2. Adaptive - it learns from the same instrument's past behavior, making it self calibrating to volatility and regime shifts.
3. Non repainting - the projection is generated on the latest completed bar and remains fixed until new data is available.
4. Noise resistant - the EMA Blend engine smooths the projected trajectory, reducing random variance between analogues.
Inputs and Configuration
Pattern Bars
Number of bars in the reference pattern window: 40
Projection Bars
Number of bars forward to project: 30
Search Depth
Number of bars back to look for matching analogues: 600
Distance Metric
Comparison method: Euclidean, Manhattan, or Cosine (default Euclidean)
Matches
Number of top analogues to blend (1-5): Top 3
Build Mode
Projection type: Cumulative, MeanStep, or EMA Blend (default EMA Blend)
EMA Blend Length
Smoothness of the projected path: 15
Normalize Pattern
Enable Z score normalization for shape matching: true
Dissimilarity Mode
If true, finds inverse analogues for mean reversion analysis: false
Line Color and Width
Style settings for projection curve: Blue, width 2
How It Works with Past Data
1. The system builds a memory bank of patterns from the last N bars based on the scanDepth value.
2. It compares the latest Pattern Bars segment to each historical segment.
3. It selects the Top K most similar or dissimilar analogues.
4. For each analogue, it retrieves what happened after that pattern historically.
5. It averages or smooths those forward moves into a single composite forecast curve.
6. The forecast (blue line) is drawn ahead of the current candle using line.new with no repainting.
Output Explained
Blue Path
The weighted mean future trajectory based on historical analogues.
Smoother when EMA Blend mode is enabled.
Flat Section
Indicates low directional consensus or equilibrium across analogues.
Upward or Downward Slope
Represents historical tendency toward continuation or reversal following similar conditions.
Recommended Timeframes
Scalping / Short Term
1m - 5m : Short winLen (20-30), small ahead (10-15)
Swing Trading
15m - 1h : Balanced settings (winLen 40-60, ahead 20-30)
Positional / Multi Day
4h - 1D : Large windows (winLen 80-120, ahead 30-50)
Instrument Compatibility
Works seamlessly on:
Stocks and ETFs
Indices
Cryptocurrency
Commodities (Gold, Crude, etc.)
Futures and F&O (both intraday and positional)
Forex
No symbol specific calibration needed. It self adapts to volatility.
How Traders Can Use It
Forecast Context
Identify likely short term price path or drift direction.
Reversal Detection
Flip seekOpp to true for mean reversion pattern analysis.
Scenario Comparison
Observe whether the current regime tends to continue or stall.
Momentum Confirmation
Combine with trend tools such as EMA or MACD for directional bias.
Backtesting Support
Compare projected path versus realized price to evaluate reliability.
FAQ
Q1. Does AnalogFlow repaint?
No. It calculates only once per completed bar and projects forward. The future path remains static until a new bar closes.
Q2. Is it a neural network or AI model?
Not in the machine learning sense. It is a deterministic analogue matching engine using statistical distance metrics.
Q3. Why does the projection sometimes flatten?
That means similar historical setups had no clear consensus in direction (neutral expectation).
Q4. Can I use it for live trading signals?
AnalogFlow is not a signal generator. It provides probabilistic context for upcoming movement.
Q5. Does higher scanDepth improve accuracy?
Up to a point. More depth gives more analogues, but too much can dilute recency. Try 400 to 800.
Glossary
Analogue
A past pattern similar to the current price behavior.
Distance Metric
Mathematical formula for pattern similarity.
Step Vector
Difference between consecutive closing prices.
EMA Blend
Exponential smoothing of the projected path.
Cumulative Mode
Adds sequential historical deltas directly.
Z Score Normalization
Rescaling to mean 0 and variance 1 for shape comparison.
Summary
AnalogFlow converts the market's historical echoes into a structured, statistically weighted forward projection. It gives traders a contextual roadmap, not a signal, showing how similar past setups evolved and allowing better informed entries, exits, and scenario planning across all asset classes.
Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and proper risk management when applying this strategy.
ATR SL/TP Precision Zones (Dots)ATR SL/TP Precision Zones (Dots) is a volatility-based tool designed to help traders set accurate Stop Loss and Take Profit levels based on real market volatility — not fixed pips or emotion.
This indicator uses ATR (Average True Range) multiplied by 1.2 to calculate dynamic distance bands.
Instead of drawing a ribbon or channel, it places simple dots above and below each candle:
Upper Dot (Green) → Suggested Take Profit / Price Stretch Zone
Lower Dot (Red) → Suggested Stop Loss Cushion / Support Expansion Zone
Because ATR measures market volatility, these dots expand during high volatility and tighten during slow markets, helping traders avoid stop-loss hunts and premature exits.
Why This Works
Most traders lose because:
They set SL too close → stopped out by noise
They set TP too far → price never reaches it
This tool calibrates those distances automatically based on real price movement behavior.
ATR = volatility
Volatility = market breathing room
This indicator ensures your trade has room to breathe, increasing win consistency.
Best Use Cases
Scalping
Swing trading
Trend continuation entries
Reversal confirmations with support/resistance
Works on Crypto / Forex / Stocks / Futures
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability.
🔹 Core Logic
EMA Fast & Slow Crossover – Identifies short-term and long-term trend shifts.
RSI Confirmation – Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds.
ADX Filter – Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum.
🔹 Key Features
Visual Buy/Sell triangles directly on the chart.
Customizable inputs for EMA, RSI, and ADX lengths.
Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities).
Optional background highlights for active trade zones.
Alert conditions for both BUY and SELL setups – ready to use in automated strategies or alert bots.
🔹 Recommended Usage
Use Heikin Ashi candles
Works best on 1M - 5M timeframes.
Combine with volume or higher-timeframe trend confirmation for stronger signals.
无敌大饺子缺口Indicator Name:Dumpling Price Action Gaps (Price Action Gaps)
Type: Price Action Indicator / Technical Analysis Tool
Applicable Markets: Stocks, Futures, Forex, Cryptocurrencies, and other charting markets
Timeframe: Any timeframe; supports multi-timeframe EMA smoothing
Indicator Overview
This indicator is a visual analysis tool based on Price Action and Fair Value Gaps (FVGs). It automatically identifies bullish and bearish gaps in the market, helping traders spot potential support and resistance areas, gap fill opportunities, and market sentiment turning points.
By combining EMA (Exponential Moving Average) and ATR (Average True Range) filtering, the indicator clearly plots on the chart:
Bullish Gaps: Highlight rapid upward price gaps.
Bearish Gaps: Highlight rapid downward price gaps.
Mitigation Zones: Mark areas where gaps are likely to be filled, assisting in judging potential price retracements.
Historical Gaps: Optionally display past gaps for multi-timeframe analysis.
Smoothed EMA20: Provides both current and multi-timeframe trend references to make gap analysis more reliable.
Key Features
Intelligent Gap Detection: Automatically identifies gap types by comparing the high and low of the current bar with the previous two bars.
Fair Value Filtering: Uses ATR to filter out insignificant gaps, reducing noise.
Visual Gap Fill Percentage: Displays the percentage of gap fill, helping traders gauge the strength of retracement.
Multi-Timeframe Smoothing: Supports current and 5-minute smoothed EMA to capture short-term trend impacts.
Flexible Across Timeframes: Suitable for intraday or swing trading strategies.
Use Cases
Support/Resistance Identification: Gap tops and bottoms can act as potential support or resistance levels.
Trend Continuation Confirmation: If price breaks through a gap without filling it, the trend is likely to continue.
Retracement Strategy: Gap fill zones can serve as potential entry or exit points for short-term trades.
Risk Management: Historical gaps help identify high-risk zones, optimizing stop-loss placement.
中文：
指标介绍
指标名称：无敌大饺子价格行为缺口（Dumpling Price Action Gaps）
类型：价格行为指标 / 技术分析工具
适用市场：股票、期货、外汇、加密货币等各类K线图市场
周期适用：任意时间周期，指标支持跨周期 EMA 平滑显示
功能概述
是一种基于价格行为（Price Action）和公允价值缺口（Fair Value Gap, FVG）的可视化分析工具。它通过自动识别市场中的看涨和看跌缺口，帮助交易者发现潜在的支撑与阻力区域、回补机会以及市场情绪转折点。
该指标结合了 EMA（指数移动平均）和 ATR（平均真实波幅）过滤，能够在图表上清晰绘制出：
看涨缺口（Bullish Gap）：显示市场快速上涨形成的价格缺口。
看跌缺口（Bearish Gap）：显示市场快速下跌形成的价格缺口。
回补区域（Mitigation Zone）：标记缺口可能被回补的区域，辅助判断价格回调的概率。
历史缺口（Historical Gaps）：可选择显示历史上形成的缺口，便于进行多周期分析。
平滑 EMA20（Smoothed EMA20）：提供当前周期和跨周期的趋势参考，使缺口分析更加可靠。
核心特点
智能缺口识别：通过比较当前 K 线与前两根 K 线的高低价，自动判断缺口类型。
公允价值过滤：结合 ATR 值过滤掉微小缺口，避免噪音干扰。
可视化百分比显示：支持显示缺口回补的百分比，让交易者直观判断回补强弱。
跨周期平滑：可显示当前周期和平滑 5 分钟 EMA，帮助捕捉短期趋势与缺口冲击。
多周期适用：支持不同时间周期图表，可灵活应用于日内交易或波段策略。
使用场景
支撑/阻力判断：缺口上沿和下沿可以作为潜在支撑或阻力区域。
趋势延续确认：价格突破缺口并未回补时，表明趋势可能继续延续。
回调策略：当价格回补缺口至回补区域时，可作为短线交易的进出参考。
风险管理：历史缺口帮助交易者识别潜在高风险区域，优化止损设置。
Volume-Price Shift Box (Lite Version)Description
This indicator is a clean and intuitive visual tool designed to help traders quickly assess the current balance of bullish and bearish forces in the market.
It combines volume, price movement, VWAP, and OBV dynamics into a compact on-chart table that updates in real time.
This version focuses on the core logic and visualization of momentum and volume shifts, making it ideal for traders who want actionable insight without complex configuration.
How It Works
The script measures the combined strength of multiple market components:
VWAP trend indicates price bias relative to fair value.
OBV (On-Balance Volume) tracks volume flow to confirm or contradict price movement.
Volume ratio compares current volume to its recent average.
Momentum evaluates directional price movement over a configurable lookback period.
Accumulation / Distribution (A/D) Line estimates buying or selling pressure within each candle:
↑ — A/D is rising (buying pressure is increasing)
↑↑ — A/D is rising faster than before (acceleration of buying)
↓ — A/D is falling (selling pressure is increasing)
↓↓ — A/D is falling faster than before (acceleration of selling)
Each of these components contributes to an overall shift score.
Depending on this score, the box displays:
🟢 Bullish Shift — strong upward alignment
🔴 Bearish Shift — downward alignment
⚪ Neutral — mixed or indecisive conditions
Key Features
Compact on-chart information box with color-coded parameters
Combined volume-price relationship model
Configurable lookback and sensitivity controls
Real-time shift strength and trend duration tracking
Adjustable EMA/SMA smoothing for all averages
Lightweight design optimized for clarity
Inputs Overview
Box Position / Size – Place and scale the on-chart info box
Lookback Period – Number of bars used for calculations
VWAP Lookback – Period for VWAP distance smoothing
Shift Sensitivity – Adjusts reaction strength of bullish/bearish shifts
Neutral Zone Threshold – Defines when the market is considered neutral
EMA or SMA – Choose exponential or simple moving averages
Component Weights – Set the influence of VWAP, OBV, Volume, and Momentum on the shift score
Display Toggles – Enable or disable metrics shown in the box (Strength, Volume, VWAP, Duration, OBV)
How to Use
Apply the indicator to any symbol and timeframe.
Observe the box on the chart — it updates dynamically.
Look for transitions between Neutral → Bullish or Neutral → Bearish shifts.
Combine with your existing price action or confirmation tools (e.g., support/resistance, trendlines).
Use the “Strength” and “Duration” values to assess consistency and momentum quality.
(This indicator is not a buy/sell signal generator — it is designed as a contextual analysis and confirmation tool.)
How It Helps
Merges several key volume and price metrics into a single view
Highlights transitions in market control between buyers and sellers
Reduces clutter by presenting only relevant context data
Works on any market and timeframe, from scalping to swing trading
⚠️Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
CCI [Hash Adaptive]Adaptive CCI Pro: Professional Technical Analysis Indicator
The Commodity Channel Index is a momentum oscillator developed by Donald Lambert in 1980. CCI measures the relationship between an asset's price and its statistical average, identifying cyclical turns and overbought/oversold conditions. The indicator oscillates around zero, with values above +100 indicating overbought conditions and values below -100 suggesting oversold conditions.
Standard CCI Formula: (Typical Price - Moving Average) / (0.015 × Mean Deviation)
This indicator transforms the traditional CCI into a sophisticated visual analysis tool through several key enhancements:
Implements dual exponential moving average smoothing to eliminate market noise
Preserves signal integrity while reducing false signals
Adaptive smoothing responds to market volatility conditions
Dynamic Color Visualization System
Continuous gradient transitions from red (bearish momentum) to green (bullish momentum)
Real-time color intensity reflects momentum strength
Eliminates discrete color jumps for fluid visual interpretation
Adaptive Intelligence Features
Dynamic overbought/oversold thresholds adapt to market conditions
Reduces false signals during high volatility periods
Maintains sensitivity during low volatility environments
Momentum Vector Analysis
Incorporates velocity calculations for early trend identification
Crossover detection with momentum confirmation
Advanced signal filtering reduces market noise
Extreme Level Analysis
Values above +100: Strong overbought conditions, potential reversal zones
Values below -100: Strong oversold conditions, potential buying opportunities
Zero-line crossovers: Momentum shift confirmation
Optimization Parameters
CCI Period (Default: 14)
Shorter periods (10-12): Increased sensitivity, more signals
Standard periods (14-20): Balanced responsiveness and reliability
Longer periods (21-30): Reduced noise, stronger signal confirmation
Smoothing Factor (Default: 5)
Lower values (1-3): Maximum responsiveness, suitable for scalping
Medium values (4-6): Balanced approach for swing trading
Higher values (7-10): Institutional-grade smoothness for position trading
Signal Sensitivity (Default: 6)
Conservative (7-10): High-probability signals, reduced frequency
Balanced (5-6): Optimal risk-reward ratio
Aggressive (1-4): Maximum signal generation, requires additional confirmation
Strategic Implementation
Oversold reversals in red zones with momentum confirmation
Zero-line breaks with sustained color transitions
Extreme readings followed by momentum divergence
Risk Management
Use extreme levels (+100/-100) for position sizing decisions
Monitor color intensity for momentum strength assessment
Combine with price action analysis for comprehensive market view
Market Context Application
Trending markets: Focus on momentum direction and extreme readings
Range-bound markets: Utilize overbought/oversold levels for mean reversion
Volatile markets: Increase smoothing parameters and signal sensitivity
Professional Advantages
Instantaneous momentum assessment through color visualization
Reduced cognitive load compared to traditional oscillators
Professional presentation suitable for client reporting
Adaptive Technology
Self-adjusting parameters reduce manual optimization requirements
Consistent performance across varying market conditions
Advanced mathematics eliminate common CCI limitations
The Adaptive CCI Pro represents the evolution of momentum analysis, combining Lambert's foundational CCI concept with modern computational techniques to deliver institutional-grade market intelligence through an intuitive visual interface.
VolumeAnlaysis### Volume Analysis (VA) Indicator
**Overview**
The Volume Analysis (VA) indicator is a dynamic overlay tool designed for traders seeking to identify high-volume breakouts, retests, and multi-timeframe volume-driven price cycles. By combining volume spikes with price action and support/resistance boxes, it highlights potential trend continuations, reversals, and cycle shifts. Ideal for intraday and swing trading on stocks, forex, or crypto, it uses a Fibonacci-inspired 1.618 multiplier to detect significant volume surges, then maps them to visual boxes and key levels for actionable insights.
This indicator draws from volume profile concepts but focuses on **breakout confirmation** and **cycle momentum**, helping you spot when "smart money" volume aligns with price extremes. It's particularly useful in volatile markets where volume precedes price moves.
**How It Works**
1. **Volume Break Detection**:
- Identifies a "Volume Break" when the current bar's volume exceeds 1.618x the highest volume from the prior 5 bars. This signals unusual activity, often preceding breakouts.
- A "Volume Retest" triggers exactly 3 bars after a break if volume has been falling steadily over those 3 bars—indicating a pullback for re-accumulation/distribution.
2. **Visual Annotations**:
- **Labels**: Green/red/yellow labels mark Volume Breaks and Retests, positioned above/below the bar based on candle direction for clarity.
- **Demand/Supply Boxes**:
- Blue semi-transparent boxes form around Retest bars, extending rightward to act as dynamic support/resistance.
- Green (bullish) or red (bearish) boxes draw from Volume Breaks, based on the original candle's open/close, highlighting potential zones for continuation.
- Limited to 5 boxes max to avoid chart clutter; older boxes fade as new ones form.
3. **Box Interaction Signals**:
- When price enters a box:
- **Reversal Hints**: Maroon (bearish rejection) or lime (bullish rejection) labels on closes against the trend with opening price momentum.
- **Breakout Arrows**: Up/down arrows on crossovers/crossunders of box tops/bottoms from Retest boxes.
- Scans all active boxes for interactions, prioritizing recent volume events.
4. **Multi-Timeframe Volume Cycles**:
- Aggregates the "Volume Break Max" level (a proxy for key price extremes tied to volume spikes) across timeframes: 1min, 5min, 10min, 30min, and 65min (using `request.security`).
- Computes **MaxVolBreak** (highest extreme) and **MinVolBreak** (lowest extreme) for trend-following levels.
- Tracks **Percent Volume Greater/Less Than Close**: Sums volumes from TFs where price is below/above these levels, creating a momentum ratio.
- **CrossClose**: Plots the prior close where this ratio crosses (gray line), signaling cycle shifts—bullish below MinVolBreak, bearish above MaxVolBreak.
- **Fills**: Red fill above CrossClose/MaxVolBreak (bearish cycle); green below CrossClose/MinVolBreak (bullish cycle).
5. **Plots**:
- Black lines for MaxVolBreak (⏫) and MinVolBreak (⏬).
- Gray 🔄 for CrossClose.
- Colors dynamically adjust (green/red) based on close relative to levels.
**Key Features**
- **Trend vs. Reversal Modes**: Toggle alerts for trend-following breaks (crosses of Max/MinVolBreak) or reversal signals (crosses of CrossClose).
- **Multi-TF Fusion**: Optionally include the chart's native timeframe in Max/Min calculations for finer tuning.
- **Box Management**: Auto-prunes to 5 boxes; focuses on retest/break alignments for "inside bar" logic.
- **Momentum Filters**: Uses rising/falling opens and crossovers for label precision, reducing noise.
- **Customizable**: Simple inputs for alert visibility and timeframe inclusion.
**Settings**
| Input | Default | Description |
|-------|---------|-------------|
| Show Volume Reversal Breaks | False | Enables alerts/labels for CrossClose crosses (cycle reversals). |
| Show Trend Following Breaks | True | Enables alerts for Max/MinVolBreak crosses (trend signals). |
| Use Current Time | False | Includes chart's native TF in multi-TF Max/Min calculations. |
**Alerts**
- **Reversal Alerts** (if enabled): "Volume Reverse Bullish/Bearish Break of " on close crosses of CrossClose.
- **Trend Alerts** (if enabled): "Trend Volume Bullish/Bearish Signal" on close crosses of Max/MinVolBreak; plus notes if prior low/high aligns with levels.
- All alerts include ticker and level value for easy scanning. Use `alert.freq_once_per_bar` to avoid spam.
**Trading Ideas**
- **Bullish Entry**: Green box formation + price holding MinVolBreak + upward arrow on retest box. Target next resistance.
- **Bearish Entry**: Red box + close above MaxVolBreak + red fill activation. Stop below recent low.
- **Cycle Trading**: Watch CrossClose crosses for regime shifts—fade extremes in overextended cycles.
- **Best Timeframes**: 5-30min for intraday; combine with daily for swings. Works best on liquid assets with reliable volume data.
**Limitations & Notes**
- Relies on accurate volume data (e.g., stocks/forex); less effective on low-volume or synthetic instruments.
- Boxes extend rightward but don't auto-delete—monitor for clutter on long histories (max_bars_back=500).
- Some logic (e.g., exact 3-bar retest) is rigid; backtest for your market.
- Open-source under MPL 2.0—fork and tweak as needed!
For questions or enhancements, drop a comment below. Happy trading! 🚀
Momentum Breakout Filter + ATR ZonesMomentum Breakout Filter + ATR Zones - User Guide
What This Indicator Does
This indicator helps you with your MACD + volume momentum strategy by:
Filtering out fake breakouts - Shows ⚠️ warnings when breakouts lack confirmation
Showing clear entry signals - 🚀 LONG and 🔻 SHORT labels when all conditions align
Automatic stop loss & profit targets - Based on ATR (Average True Range)
Visual trend confirmation - Background color + EMA alignment
Signal Types
🚀 LONG Entry Signal (Green Label)
Appears when ALL conditions met:
✅ MACD crosses above signal line
✅ Volume > 1.5× average
✅ Price > EMA 9 > EMA 21 > EMA 200 (bullish trend)
✅ Price closes above recent 20-bar high
🔻 SHORT Entry Signal (Red Label)
Appears when ALL conditions met:
✅ MACD crosses below signal line
✅ Volume > 1.5× average
✅ Price < EMA 9 < EMA 21 < EMA 200 (bearish trend)
✅ Price closes below recent 20-bar low
⚠️ FAKE Breakout Warning (Orange Label)
Appears when price breaks high/low BUT lacks confirmation:
❌ Low volume (below 1.5× average), OR
❌ Wick break only (didn't close through level), OR
❌ MACD not aligned with direction
Hover over the warning label to see what's missing!
ATR Stop Loss & Targets
When you get a signal, colored lines automatically appear:
Long Position
Red solid line = Stop Loss (Entry - 1.5×ATR)
Green dashed lines = Profit Targets:
Target 1: Entry + 2×ATR
Target 2: Entry + 3×ATR
Target 3: Entry + 4×ATR
Short Position
Red solid line = Stop Loss (Entry + 1.5×ATR)
Green dashed lines = Profit Targets:
Target 1: Entry - 2×ATR
Target 2: Entry - 3×ATR
Target 3: Entry - 4×ATR
The lines move with each bar until you exit the position.
Chart Elements
Moving Averages
Blue line = EMA 9 (fast)
Orange line = EMA 21 (medium)
White line = EMA 200 (trend filter)
Volume
Yellow bars = High volume (above threshold)
Gray bars = Normal volume
Background Color
Light green = Bullish trend (all EMAs aligned up)
Light red = Bearish trend (all EMAs aligned down)
No color = Neutral/mixed
MACD (Bottom Pane)
Green/Red columns = MACD Histogram
Blue line = MACD Line
Orange line = Signal Line
Info Dashboard (Bottom Right)
ItemWhat It ShowsVolumeCurrent volume vs average (✓ HIGH or ✗ Low)MACDDirection (BULLISH or BEARISH)TrendEMA alignment (BULL, BEAR, or NEUTRAL)ATRCurrent ATR value in dollarsPositionCurrent position (LONG, SHORT, or NONE)R:RRisk-to-Reward ratio (shows when in position)
How To Use It
Basic Workflow
Wait for setup
Watch for MACD to approach signal line
Volume should be building
Price should be near EMA structure
Get confirmation
Wait for 🚀 LONG or 🔻 SHORT label
Check dashboard shows "✓ HIGH" volume
Verify trend is aligned (green or red background)
Enter the trade
Enter when signal appears
Note your stop loss (red line)
Note your targets (green dashed lines)
Manage the trade
Exit at first target for partial profit
Move stop to breakeven
Trail remaining position
What To Avoid
❌ Don't trade when you see:
⚠️ FAKE labels (wait for confirmation)
Neutral background (no clear trend)
"✗ Low" volume in dashboard
MACD and Trend not aligned
Settings You Can Adjust
Volume Sensitivity
High Volume Threshold: Default 1.5×
Increase to 2.0× for cleaner signals (fewer trades)
Decrease to 1.2× for more signals (more trades)
Fake Breakout Filters
You can toggle these ON/OFF:
Volume Confirmation: Requires high volume
Close Through: Requires candle close, not just wick
MACD Alignment: Requires MACD direction match
Tip: Turn all three ON for highest quality signals
ATR Stop/Target Multipliers
Default settings (conservative):
Stop Loss: 1.5×ATR
Target 1: 2×ATR (1.33:1 R:R)
Target 2: 3×ATR (2:1 R:R)
Target 3: 4×ATR (2.67:1 R:R)
Aggressive traders might use:
Stop Loss: 1.0×ATR
Target 1: 2×ATR (2:1 R:R)
Target 2: 4×ATR (4:1 R:R)
Conservative traders might use:
Stop Loss: 2.0×ATR
Target 1: 3×ATR (1.5:1 R:R)
Target 2: 5×ATR (2.5:1 R:R)
Example Trade Scenarios
Scenario 1: Perfect Long Setup ✅
Stock consolidating near EMA 21
MACD curling up toward signal line
Volume bar turns yellow (high volume)
🚀 LONG label appears
Red stop line and green target lines appear
Result: High probability trade
Scenario 2: Fake Breakout Avoided ✅
Price breaks above resistance
Volume is normal (gray bar)
⚠️ FAKE label appears (hover shows "Low volume")
No entry signal
Price falls back below breakout level
Result: Avoided losing trade
Scenario 3: Premature Entry ❌
MACD crosses up
Volume is high
BUT trend is NEUTRAL (no background color)
No signal appears (trend filter blocks it)
Result: Avoided choppy/sideways market
Quick Reference
Entry Checklist
🚀 or 🔻 label on chart
Dashboard shows "✓ HIGH" volume
Dashboard shows aligned MACD + Trend
Colored background (green or red)
ATR lines visible
No ⚠️ FAKE warning
Exit Strategy
Target 1 (2×ATR): Take 50% profit, move stop to breakeven
Target 2 (3×ATR): Take 25% profit, trail stop
Target 3 (4×ATR): Take remaining profit or trail aggressively
Stop Loss: Exit entire position if hit
Alerts
Set up these alerts:
Long Entry: Fires when 🚀 LONG signal appears
Short Entry: Fires when 🔻 SHORT signal appears
Fake Breakout Warning: Fires when ⚠️ appears (optional)
Tips for Success
Use on 5-minute charts for day trading momentum plays
Only trade high volume stocks ($5-20 range works best)
Wait for full confirmation - don't jump early
Respect the stop loss - it's calculated based on volatility
Scale out at targets - don't hold for home runs
Avoid trading first 15 minutes - let market settle
Best during 10am-11am and 2pm-3pm - peak momentum times
Common Questions
Q: Why didn't I get a signal even though MACD crossed?
A: All conditions must be met - check dashboard for what's missing (likely volume or trend alignment)
Q: Can I use this on any timeframe?
A: Yes, but it's designed for 5-15 minute charts. On daily charts, adjust ATR multipliers higher.
Q: The stop loss seems too tight, can I widen it?
A: Yes, increase "Stop Loss (×ATR)" from 1.5 to 2.0 or 2.5 in settings.
Q: I keep seeing FAKE warnings but price keeps going - what gives?
A: The filter is conservative. You can disable some filters in settings, but expect more false signals.
Q: Can I use this for swing trading?
A: Yes, but use larger timeframes (1H or 4H) and adjust ATR multipliers up (3× for stops, 6-9× for targets).
TTM Squeeze Pro - IntradayTTM Squeeze Pro – Intraday (AI MTF Edition)
Design Rationale
This indicator is built to help traders identify when markets are consolidating, when volatility is building (squeeze), and when a breakout or trend is starting — all across multiple timeframes.
The design combines three powerful ideas:
Volatility Compression & Expansion (TTM Squeeze Logic):
By comparing Bollinger Bands (BB) and Keltner Channels (KC), the indicator detects when volatility contracts (BB inside KC). These moments often precede explosive moves. White dots on the BB basis line mark these “squeeze” periods.
Trend Strength & Direction (ADX System):
The ADX (Average Directional Index) measures how strong a trend is.
ADX rising above the threshold → trending market.
ADX falling below the threshold → consolidation.
The system classifies each bar as Trending Up, Trending Down, Consolidating, or Neutral, depending on ADX and momentum direction.
Multi-Timeframe (MTF) Alignment:
The same logic is applied to several timeframes (1m, 3m, 5m, 15m, 30m, 1h).
A compact table at the top-right shows each timeframe’s trend and squeeze strength.
This helps traders see whether short-term and higher timeframes are aligned, improving trade confidence and timing.
The AI Enhancer automatically adjusts all parameters (ADX, BB, KC lengths, and thresholds) depending on the current chart timeframe, keeping signals consistent between scalping and swing trading setups.
Trend and squeeze strengths are normalized on a 1–9 scale, giving users a quick numerical sense of trend power and squeeze intensity. The design emphasizes clarity, speed, and adaptability — critical for intraday trading decisions.
How to Use
Identify a Squeeze Setup:
Look for white dots on the chart — this marks low volatility and potential energy buildup.
Wait for Breakout Confirmation:
When the white dots disappear, volatility expands.
Check the MTF table — if multiple timeframes show green (uptrend) or red (downtrend) in the “TR” column, momentum is aligning.
Enter the Trade:
Go long if breakout happens above BB basis and most timeframes show green.
Go short if breakout happens below BB basis and most timeframes show red.
Exit or Manage Position:
When new white dots appear → volatility contracting again → consider exiting or tightening stops.
If MTF colors become mixed → trend losing strength.
In Summary
The TTM Squeeze Pro – Intraday AI MTF Indicator blends volatility analysis, trend strength, momentum, and multi-timeframe alignment into one adaptive tool.
Its design aims to simplify complex market behavior into a visual, data-backed format — enabling traders to catch high-probability breakout trends early and avoid false moves during low-volatility phases.
Trappin Previous Timeframe LevelsTrappin Previous Timeframe Levels (Trappin PTL)
Overview
Trappin PTL is a comprehensive multi-timeframe support and resistance indicator that displays key price levels from multiple timeframes on a single chart. This indicator helps traders identify critical price zones where reversals or breakouts are likely to occur, making it ideal for both intraday and swing trading strategies.
💡 Origin Story
I got tired of manually drawing these lines that I learned from watching Wallstreet Trapper on Trappin Tuesdays YouTube live streams. After repeatedly marking the same previous timeframe levels on every chart, I decided to automate the process. Hope it helps you as much as it helps me!
Key Features
📊 Multiple Timeframe Levels
The indicator tracks and displays high/low levels from:
Previous Hour (PHH/PHL) - Purple lines
Previous Day (PDH/PDL) - Green lines
Previous Week (PWH/PWL) - Yellow lines
Previous Month (PMH/PML) - Blue lines
All-Time High (ATH) - Red line
52-Week High - Orange line
🎨 Fully Customizable
Colors - Change the color of each timeframe independently
Line Styles - Choose between Solid, Dashed, or Dotted lines
Line Widths - Adjust thickness from 1-4 pixels
All settings organized in intuitive groups for easy access
📍 Smart Line Extension
Lines extend back to show when the level was established
Lines project forward to show current relevance
Historical context helps identify key support/resistance zones
🏷️ Clear Price Labels
Each level displays its exact price value (no currency symbols)
Labels positioned horizontally to avoid overlap
Adaptive text color for visibility on any chart theme (dark or light mode)
Why "Trappin"?
The name is a tribute to Wallstreet Trapper and his Trappin Tuesdays YouTube live streams, where I learned the importance of marking previous timeframe levels. The name also reflects the indicator's purpose: identifying price levels where traders often get "trapped" - whether it's bulls getting trapped below resistance or bears getting trapped above support. These levels represent zones where significant order flow and liquidity exist, making them prime areas for reversals or breakouts.
Credits
Created by resoh
Inspired by Wallstreet Trapper and Trappin Tuesdays YouTube live streams
This indicator is provided for educational and informational purposes. Always practice proper risk management and conduct your own analysis before making trading decisions.
Version History
v1.0 - Initial Release
Multi-timeframe high/low levels
All-time high tracking
52-week high tracking
Fully customizable colors, styles, and widths
Adaptive labels with price display
Smart line extension showing historical context
Dynamic ~ CVDDynamic - CVD is a smart, time-adaptive version of the classic Cumulative Volume Delta (CVD) indicator, designed to help traders visualize market buying and selling pressure across all timeframes with minimal manual tweaking.
Overview
Cumulative Volume Delta tracks the difference between buying and selling volume during each bar. It reveals whether aggressive buyers or sellers dominate the market, offering deep insight into real-time market sentiment and underlying momentum.
This version of CVD automatically adjusts its EMA smoothing length based on your selected timeframe, ensuring optimal sensitivity and consistency across intraday, daily, weekly, and even monthly charts.
Features
Dynamic EMA Length — Automatically adapts smoothing parameters based on the chart timeframe:
1–59 min → 50
1–23 h → 21
Daily & Weekly → 100
Monthly → 10
CVD Visualization — Displays cumulative delta to show the ongoing buying/selling imbalance.
CVD‑EMA Curve — Offers a clear trend signal by comparing the CVD line with its EMA.
Adaptive Color Logic — EMA curve changes color dynamically:
Green when CVD > EMA (bullish pressure)
Gray when CVD < EMA (bearish pressure)
How to Use
Use Dynamic - CVD to gauge whether the market is accumulating (net buying) or distributing (net selling).
When CVD rises above its EMA, it often signals consistent buying pressure and potential bullish continuation.
When CVD stays below its EMA, it highlights sustained selling pressure and possible weakness.
The dynamic EMA makes it suitable for scalping, swing trading, and longer-term trend analysis—no need to manually adjust settings.
Best For
Traders looking to measure real buying/selling flow rather than price movement alone.
Market participants who want a plug‑and‑play CVD that stays accurate across all timeframes.
Anyone interested in volume‑based momentum confirmation tools.
Disclaimer
This script is provided for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Always perform your own analysis and consult a licensed financial advisor before making investment decisions. The author is not responsible for any financial losses or trading outcomes arising from the use of this indicator.
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt
A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities.
🎯 What Makes This Indicator Unique?
This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels:
ALMA uses Gaussian distribution for superior price smoothing with minimal lag
Dynamic envelopes based on Gaussian probability zones
Multi-layer gradient visualization showing probability density
Adaptive envelope modes that respond to market conditions
📊 Core Components
1. Arnaud Legoux Moving Average (ALMA)
The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters:
ALMA Period: Controls the lookback window (default: 21)
Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85)
Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0)
2. Gaussian Envelope System
The indicator features three envelope calculation modes:
Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing
Adaptive Mode: Dynamically adjusts based on price acceleration and volatility
Hybrid Mode: Combines ATR and standard deviation for balanced adaptation
The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities.
3. Momentum-Adjusted Envelopes
The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels.
⚡ Key Features
Multi-Layer Gradient Visualization
The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess:
Distance from the mean
Potential support/resistance strength
Overbought/oversold conditions in context
Dynamic Color Coding
Cyan gradient: Price below ALMA (bullish zone)
Magenta gradient: Price above ALMA (bearish zone)
The ALMA line itself changes color based on price position
Trend Regime Detection
The indicator automatically identifies market regimes:
Strong Uptrend: Trend strength > 0.5% with price above ALMA
Strong Downtrend: Trend strength < -0.5% with price below ALMA
Weak trends and ranging conditions
📈 Trading Strategies
Mean Reversion Strategy
Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable.
Signals:
Long: Price in lower Gaussian zone with trend strength > -0.5%
Short: Price in upper Gaussian zone with trend strength < 0.5%
Trend Continuation Strategy
Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference.
Signals:
Long: Price crosses above ALMA during strong uptrend
Short: Price crosses below ALMA during strong downtrend
🎨 Visualization Guide
The gradient layers create a "probability cloud" around the ALMA:
Darker shades (near ALMA): High probability zone - price tends to stay here
Lighter shades (near envelope edges): Lower probability - potential reversal zones
Price at envelope extremes: Statistical outliers - strongest mean reversion setups
⚙️ Customization Options
ALMA Parameters
Adjust period for different timeframes (lower for day trading, higher for swing trading)
Modify offset to tune responsiveness vs. smoothness
Change sigma to control distribution width
Envelope Configuration
Choose envelope mode based on market characteristics
Adjust multiplier to match instrument volatility
Modify gradient depth for visual preference (5-15 layers)
Signal Enhancement
Momentum Length: Lookback for trend strength calculation
Signal Smoothing: Additional EMA smoothing to reduce noise
🔔 Built-in Alerts
The indicator includes six pre-configured alert conditions:
ALMA Trend Long - Price crosses above ALMA in strong uptrend
ALMA Trend Short - Price crosses below ALMA in strong downtrend
Mean Reversion Long - Price enters lower Gaussian zone
Mean Reversion Short - Price enters upper Gaussian zone
Strong Uptrend Detected - Momentum confirms strong bullish regime
Strong Downtrend Detected - Momentum confirms strong bearish regime
💡 Best Practices
Use on clean, liquid markets with consistent volatility
Combine with volume analysis for confirmation
Adjust envelope multiplier based on backtesting for your specific instrument
Higher timeframes (4H+) generally provide more reliable signals
Use adaptive mode for trending markets, hybrid for mixed conditions
⚠️ Important Notes
This indicator works best in markets with normal price distribution
Extreme news events can invalidate Gaussian assumptions temporarily
Always use proper risk management - no indicator is perfect
Backtest parameters on your specific instrument and timeframe
🔬 Technical Background
The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes.
The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles.
Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
