Ultimate BB Squeeze [Final]This indicator gives the move as it is about to happen and I have even added adx to the same so as to have a directional trade and not get stopped by loss.
רצועות וערוצים
ATR Bands over 50D SMA (% method)Indicator that shows multiples of ATR% above the 50d SMA as bands on a chart, building off of
Jeff Sun 's methodology. You should tinker with the settings to chose your multiples, colors and which multiple lines to show. I don't know if the negative multiple lines have any use, so I turn mine off. Offered as is. I am not a programmer. Note the other indicators shown on the print screen are not mine.
Trend ScalperThe Trend Scalper is a simple EMA-based trend-following and scalping indicator designed to help traders identify potential long and short trading opportunities on any timeframe. It uses a three-EMA strategy to filter trades in the direction of the prevailing trend while refining entry signals based on price reactions to the EMAs.
Here’s how it works:
It calculates three Exponential Moving Averages (EMA) with customizable lengths (default: 9, 21, and 89).
A long signal is generated when the EMAs align in bullish order (EMA1 > EMA2 > EMA3) and the price low dips into the zone between EMA1 and EMA2. This indicates a pullback into short-term support while the broader trend remains bullish.
A short signal is generated when the EMAs align in bearish order (EMA1 < EMA2 < EMA3) and the price high rises into the zone between EMA1 and EMA2. This indicates a pullback into resistance within a bearish trend.
The EMAs are plotted on the chart for visual guidance, while buy and sell signals are displayed as up and down triangles directly on price bars.
Best use practices:
The indicator works best as a trend continuation scalping tool, aiming to join established market direction after minor pullbacks.
It is most effective on liquid assets and in trending market conditions. Avoid relying on signals during sideways or choppy markets.
For confirmation, combine with volume, momentum oscillators, or higher timeframe trend analysis.
Risk management is critical: consider setting stop losses beyond EMA zones or recent swing highs/lows, and use take profits that match your risk-reward plan.
This indicator provides clean, rule-based signals that help traders time entries within the broader context of the trend. It is not a standalone strategy but a tool to assist in disciplined trade execution.
Uptrick: Volatility Weighted CloudIntroduction
The Volatility Weighted Cloud (VWC) is a trend-tracking overlay that combines adaptive volatility-based bands with a multi-source smoothed price cloud to visualize market bias. It provides users with a dynamic structure that adapts to volatility conditions while maintaining a persistent visual record of trend direction. By incorporating configurable smoothing techniques, percentile-ranked volatility, and multi-line cloud construction, the indicator allows traders to interpret price context more effectively without relying on raw price movement alone.
Overview
The script builds a smoothed price basis using the open, and close prices independently, and uses these to construct a layered visual cloud. This cloud serves both as a reference for price structure and a potential area of dynamic support and resistance. Alongside this cloud, adaptive upper and lower bands are plotted using volatility that scales with percentile rank. When price closes above or below these bands, the script interprets that as a breakout and updates the trend bias accordingly.
Candle coloring is persistent and reflects the most recent confirmed signal. Labels can optionally be placed on the chart when the trend bias flips, giving traders additional visual reference points. The indicator is designed to be both flexible and visually compact, supporting different strategies and timeframes through its detailed configuration options.
Originality
This script introduces originality through its combined use of percentile-ranked volatility, adaptive envelope sizing, and multi-source cloud construction. Unlike static-band indicators, the Volatility Weighted Cloud adjusts its band width based on where current volatility ranks within a defined lookback range. This dynamic scaling allows for smoother signal behavior during low-volatility environments and more responsive behavior during high-volatility phases.
Additionally, instead of using a single basis line, the indicator computes two separate smoothed lines for open and close. These are rendered into a shaded visual cloud that reflects price structure more completely than traditional moving average overlays. The use of ALMA and MAD, both less commonly applied in volatility-band overlays, adds further control over smoothing behavior and volatility measurement, enhancing its adaptability across different market types.
Inputs
Group: Core
Basis Length (short-term): The number of bars used for calculating the primary basis line. Affects how quickly the basis responds to price changes.
Basis Type: Option to choose between EMA and ALMA. EMA provides a standard exponential average; ALMA offers a centered, Gaussian-weighted average with reduced lag.
ALMA Offset: Determines the balance point of the ALMA window. Only applies when ALMA is selected.
Sigma: Sets the width of the ALMA smoothing window, influencing how much smoothing is applied.
Basis Smoothing EMA: Adds additional EMA-based smoothing to the computed basis line for noise reduction.
Group: Volatility & Bands
Volatility: Choose between StDev (standard deviation) and MAD (median absolute deviation) for measuring price volatility.
Vol Length (short-term): Length of the window used for calculating volatility.
Vol Smoothing EMA: Smooths the raw volatility value to stabilize band behavior.
Min Multiplier: Minimum multiplier applied to volatility when forming the adaptive bands.
Max Multiplier: Maximum multiplier applied at high volatility percentile.
Volatility Rank Lookback: Number of bars used to calculate the percentile rank of current volatility.
Show Adaptive Bands: Enables or disables the display of upper and lower volatility bands on the chart.
Group: Trend Switch Labels
Show Trend Switch Labels: Toggles the appearance of labels when the trend direction changes.
Label Anchor: Defines whether the labels are anchored to recent highs/lows or to the main basis line.
ATR Length (offset): Length used for calculating ATR, which determines label offset distance.
ATR Offset (multiplier): Multiplies the ATR value to place labels away from price bars for better visibility.
Label Size: Allows selection of label size (tiny to huge) to suit different chart setups.
Features
Adaptive Volatility Bands: The indicator calculates volatility using either standard deviation or MAD. It then applies an EMA smoothing layer and scales the band width dynamically based on the percentile rank of volatility over a user-defined lookback window. This avoids fixed-width bands and allows the indicator to adapt to changing volatility regimes in real time.
Volatility Method Options: Users can switch between two volatility measurement methods:
➤ Standard Deviation (StDev): Captures overall price dispersion, but may be sensitive to spikes.
➤ Median Absolute Deviation (MAD): A more robust measure that reduces the effect of outliers, making the bands less jumpy during erratic price behavior.
Basis Type Options: The core price basis used for cloud and bands can be built from:
➤ Exponential Moving Average (EMA): Fast-reacting and widely used in trend systems.
➤ Arnaud Legoux Moving Average (ALMA): A smoother, more centered alternative that offers greater control through offset and sigma parameters.
Multi-Line Basis Cloud: The cloud is formed by plotting two individually smoothed basis lines from open and close prices. A filled area is created between the open and close basis lines. This cloud serves as a dynamic support or resistance zone, allowing users to identify possible reversal areas. Price moving through or rejecting from the cloud can be interpreted contextually, especially when combined with band-based signals.
Persistent Trend Bias Coloring: The indicator uses the last confirmed breakout (above upper band or below lower band) to determine bias. This bias is reflected in the color of every subsequent candle, offering a persistent visual cue until a new signal is triggered. It helps simplify trend recognition, especially in choppy or sideways markets.
Trend Switch Labels: When enabled, the script places labeled markers at the exact bar where the bias direction switches. Labels are anchored either to recent highs/lows or to the main basis line, and spaced vertically using an ATR-based offset. This allows the trader to quickly locate historical trend transitions.
Alert Conditions: Two built-in alert conditions are available:
➤ Long Signal: Triggered when the close crosses above the upper adaptive band.
➤ Short Signal: Triggered when the close crosses below the lower adaptive band.
These conditions can be used for custom alerts, automation, or external signaling tools.
Display Control and Flexibility: Users can disable the adaptive bands for a cleaner layout while keeping the basis cloud and candle coloring active. The indicator can be tuned for fast or slow response depending on the strategy in use, and is suitable for intraday, swing, or position trading.
Summary
The Volatility Weighted Cloud is a configurable trend-following overlay that uses adaptive volatility bands and a structured cloud system to help visualize market bias. By combining EMA or ALMA smoothing with percentile-ranked volatility and a four-line price structure, it provides a flexible and informative charting layer. Its key strengths lie in the use of dynamic envelopes, visually persistent trend indication, and clearly defined breakout zones that adapt to current volatility conditions.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves risk and may not be suitable for all investors. Past performance does not guarantee future results.
EMA 89 và EMA 34 - MTF AlertEMA34/89 in MTF and alert. If you want to find indicator for alert, I thing it for you
RSI ROC Signals with Price Action# RSI ROC Signals with Price Action
## Overview
The RSI ROC (Rate of Change) Signals indicator is an advanced momentum-based trading system that combines RSI velocity analysis with price action confirmation to generate high-probability buy and sell signals. This indicator goes beyond traditional RSI analysis by measuring the speed of RSI changes and requiring price confirmation before triggering signals.
## Core Concept: RSI Rate of Change (ROC)
### What is RSI ROC?
RSI ROC measures the **velocity** or **acceleration** of the RSI indicator, providing insights into momentum shifts before they become apparent in traditional RSI readings.
**Formula**: `RSI ROC = ((Current RSI - Previous RSI) / Previous RSI) × 100`
### Why RSI ROC is Superior to Standard RSI:
1. **Early Momentum Detection**: Identifies momentum shifts before RSI reaches traditional overbought/oversold levels
2. **Velocity Analysis**: Measures the speed of momentum changes, not just absolute levels
3. **Reduced False Signals**: Filters out weak momentum moves that don't sustain
4. **Dynamic Thresholds**: Adapts to market volatility rather than using fixed RSI levels
5. **Leading Indicator**: Provides earlier signals compared to traditional RSI crossovers
## Signal Generation Logic
### 🟢 Buy Signal Process (3-Stage System):
#### Stage 1: Trigger Activation
- **RSI ROC** > threshold (default 7%) - RSI accelerating upward
- **Price ROC** > 0 - Price moving higher
- Records the **trigger high** (highest point during trigger)
#### Stage 2: Invalidation Check
- Signal invalidated if **RSI ROC** drops below negative threshold
- Prevents false signals during momentum reversals
#### Stage 3: Confirmation
- **Price breaks above trigger high** - Price action confirmation
- **Current candle is green** (close > open) - Bullish price action
- **State alternation** - Ensures no consecutive duplicate signals
### 🔴 Sell Signal Process (3-Stage System):
#### Stage 1: Trigger Activation
- **RSI ROC** < negative threshold (default -7%) - RSI accelerating downward
- **Price ROC** < 0 - Price moving lower
- Records the **trigger low** (lowest point during trigger)
#### Stage 2: Invalidation Check
- Signal invalidated if **RSI ROC** rises above positive threshold
- Prevents false signals during momentum reversals
#### Stage 3: Confirmation
- **Price breaks below trigger low** - Price action confirmation
- **Current candle is red** (close < open) - Bearish price action
- **State alternation** - Ensures no consecutive duplicate signals
## Key Features
### 🎯 **Smart Signal Management**
- **State Alternation**: Prevents signal clustering by alternating between buy/sell states
- **Trigger Invalidation**: Automatically cancels weak signals that lose momentum
- **Price Confirmation**: Requires actual price breakouts, not just momentum shifts
- **No Repainting**: Signals are confirmed and won't disappear or change
### ⚙️ **Customizable Parameters**
#### **RSI Length (Default: 14)**
- Standard RSI calculation period
- Shorter periods = more sensitive to price changes
- Longer periods = smoother, less noisy signals
#### **Lookback Period (Default: 1)**
- Period for ROC calculations
- 1 = compares to previous bar (most responsive)
- Higher values = smoother momentum detection
#### **RSI ROC Threshold (Default: 7%)**
- Minimum RSI velocity required for signal trigger
- Lower values = more signals, potentially more noise
- Higher values = fewer but higher-quality signals
### 📊 **Visual Signals**
- **Green Arrow Up**: Buy signal below price bar
- **Red Arrow Down**: Sell signal above price bar
- **Clean Chart**: No additional lines or oscillators cluttering the view
- **Size Options**: Customizable arrow sizes for visibility preferences
## Advantages Over Traditional Indicators
### vs. Standard RSI:
✅ **Earlier Signals**: Detects momentum changes before RSI reaches extremes
✅ **Dynamic Thresholds**: Adapts to market conditions vs. fixed 30/70 levels
✅ **Velocity Focus**: Measures momentum speed, not just position
✅ **Better Timing**: Combines momentum with price action confirmation
### vs. Moving Average Crossovers:
✅ **Leading vs. Lagging**: RSI ROC is forward-looking vs. backward-looking MAs
✅ **Volatility Adaptive**: Automatically adjusts to market volatility
✅ **Fewer Whipsaws**: Built-in invalidation logic reduces false signals
✅ **Momentum Focus**: Captures acceleration, not just direction changes
### vs. MACD:
✅ **Price-Normalized**: RSI ROC works consistently across different price ranges
✅ **Simpler Logic**: Clear trigger/confirmation process vs. complex crossovers
✅ **Built-in Filters**: Automatic signal quality control
✅ **State Management**: Prevents over-trading through alternation logic
## Trading Applications
### 📈 **Trend Following**
- Use in trending markets to catch momentum continuations
- Combine with trend filters for directional bias
- Excellent for breakout strategies
### 🔄 **Swing Trading**
- Ideal timeframes: 4H, Daily, Weekly
- Captures major momentum shifts
- Perfect for position entries/exits
### ⚡ **Scalping (Advanced Users)**
- Lower timeframes: 1m, 5m, 15m
- Reduce threshold for more frequent signals
- Combine with volume confirmation
### 🎯 **Momentum Strategies**
- Perfect for momentum-based trading systems
- Identifies acceleration phases in trends
- Complements breakout and continuation patterns
## Optimization Guidelines
### **Conservative Settings (Lower Risk)**
- RSI Length: 21
- ROC Threshold: 10%
- Lookback: 2
### **Standard Settings (Balanced)**
- RSI Length: 14 (default)
- ROC Threshold: 7% (default)
- Lookback: 1 (default)
### **Aggressive Settings (Higher Frequency)**
- RSI Length: 7
- ROC Threshold: 5%
- Lookback: 1
## Best Practices
### 🎯 **Entry Strategy**
1. Wait for signal arrow confirmation
2. Consider market context (trend, support/resistance)
3. Use proper position sizing based on volatility
4. Set stop-loss below/above trigger levels
### 🛡️ **Risk Management**
1. **Stop Loss**: Place beyond trigger high/low levels
2. **Position Sizing**: Use 1-2% risk per trade
3. **Market Context**: Avoid counter-trend signals in strong trends
4. **Time Filters**: Consider avoiding signals near major news events
### 📊 **Backtesting Recommendations**
1. Test on multiple timeframes and instruments
2. Analyze win rate vs. average win/loss ratio
3. Consider transaction costs in backtesting
4. Optimize threshold values for different market conditions
## Technical Specifications
- **Pine Script Version**: v6
- **Signal Type**: Non-repainting, confirmed signals
- **Calculation Basis**: RSI velocity with price action confirmation
- **Update Frequency**: Real-time on bar close
- **Memory Management**: Efficient state tracking with minimal resource usage
## Ideal For:
- **Momentum Traders**: Captures acceleration phases
- **Swing Traders**: Medium-term position entries/exits
- **Breakout Traders**: Confirms momentum behind breakouts
- **System Traders**: Mechanical signal generation with clear rules
This indicator represents a significant evolution in momentum analysis, combining the reliability of RSI with the precision of rate-of-change analysis and the confirmation of price action. It's designed for traders who want sophisticated momentum detection with built-in quality controls.
TRP Stop-Loss_Trailing SL# TRP Stop-Loss Indicator
## Overview
The TRP (True Range Percentage) Stop-Loss indicator is an advanced volatility-based stop-loss tool that provides dynamic position protection based on market volatility. Unlike traditional ATR-based indicators, TRP calculates volatility as a percentage of price, offering superior adaptability across different price ranges and market conditions.
## What is TRP and Why It's Superior to ATR
### TRP (True Range Percentage)
TRP calculates the true range as a percentage of the closing price, providing a **normalized volatility measure**. The formula is:
```
TRP = (True Range / Close) × 100
```
### Key Advantages of TRP over ATR:
1. **Price-Normalized Volatility**: TRP automatically adjusts for different price levels, making it equally effective whether you're trading a $10 stock or a $1000 stock.
2. **Percentage-Based Risk**: TRP gives you direct percentage risk values, making position sizing and risk management more intuitive.
3. **Better Cross-Market Comparison**: Unlike ATR, TRP allows you to compare volatility across different instruments on an equal basis.
4. **Adaptive to Market Conditions**: TRP naturally scales with price movements, providing more relevant stop-loss levels during trending markets.
5. **Consistent Risk Exposure**: Maintains consistent percentage risk regardless of the underlying asset's price level.
## Indicator Features
### 🎯 **Dual Stop-Loss System**
- **Long SL**: Red line below price for long positions
- **Short SL**: Blue line above price for short positions
- Independent control for each direction
### ⚙️ **Advanced Calculation Options**
#### **Multiple TRP Calculation Sources:**
- **Current Candle**: Uses real-time running candle data
- **Previous Close**: Uses completed candle data (default)
- **Last Green Candle**: For longs - uses TRP from the most recent bullish candle
- **Last Red Candle**: For shorts - uses TRP from the most recent bearish candle
#### **Independent Multipliers:**
- Separate multiplier controls for long and short stop-losses
- Adjust risk levels independently (0.1x to 10x+ range)
- Fine-tune stop-loss distance based on your risk tolerance
### 📊 **Visual Customization**
- **Line Styles**: Solid, dashed, or dotted lines
- **Custom Colors**: Separate color controls for long/short SL
- **Line Width**: Adjustable thickness (1-10)
- **Extension**: Customizable projection bars to the right
### 🏷️ **Smart Labeling System**
- **Value Display**: Shows exact SL price on the right side of lines
- **Toggle Control**: Enable/disable labels as needed
- **Size Options**: 5 different label sizes (tiny to huge)
- **Color Coordination**: Labels match their respective line colors
### ⏰ **Multi-Timeframe Support**
- Calculate TRP on any timeframe while viewing on another
- Default: Daily TRP calculation for intraday charts
- Maintains calculation integrity across timeframe switches
## How to Use
### Basic Setup:
1. Add the indicator to your chart
2. Select your preferred timeframe for TRP calculation
3. Choose calculation source for long and short positions
4. Adjust multipliers based on your risk tolerance
### Risk Management Applications:
- **Conservative**: Use 0.5-0.8 multipliers for tighter stops
- **Standard**: Use 1.0 multiplier for normal volatility-based stops
- **Aggressive**: Use 1.2-2.0 multipliers for wider stops in volatile markets
### Advanced Strategies:
- **Trend Following**: Use "Last Green/Red Candle" sources to adapt to momentum changes
- **Breakout Trading**: Use "Current Candle" for real-time stop adjustments
- **Swing Trading**: Use "Previous Close" for stable, confirmed levels
## Key Benefits
✅ **Dynamic Adaptation**: Automatically adjusts to changing market volatility
✅ **Percentage Risk Control**: Direct percentage-based risk management
✅ **Multi-Strategy Compatible**: Works with scalping, day trading, and swing trading
✅ **Visual Clarity**: Clean, professional chart display with customizable appearance
✅ **Real-Time Updates**: Instant recalculation when settings change
✅ **No Overlapping Lines**: Smart line management prevents chart clutter
## Best Practices
1. **Backtest First**: Test different multiplier settings on historical data
2. **Market Adaptation**: Adjust multipliers based on current market volatility regime
3. **Combine with Other Signals**: Use TRP stops with your existing entry signals
4. **Position Sizing**: Use TRP percentage values for consistent position sizing
5. **Regular Review**: Periodically review and adjust settings based on performance
## Technical Specifications
- **Pine Script Version**: v6
- **Overlay**: Yes (draws directly on price chart)
- **Calculations**: Based on 50-period EMA of TRP values
- **Updates**: Real-time with automatic line management
- **Performance**: Optimized for fast execution and minimal lag
This indicator is ideal for traders who want professional-grade, volatility-adaptive stop-loss management with the flexibility to fine-tune risk parameters across different market conditions and trading styles.
Ultra Simple ReversalThis is a simple script that combines Key Features:
✅ No plotting - Only text labels and candle color changes
✅ Reversal candle detection - Changes candle color on high-probability signals
✅ BUY/SELL text labels - Clear directional signals
✅ Four-module confluence - SSL + Squeeze + MTF Pivots + ORB Breakout
✅ Non-repainting - Reliable signals using proper security calls
✅ Pine Script v6 compatible - All syntax errors fixed
TW All in OneIts a overlap strategy, giving signals for buy and sell.
Mostly suitable for Bank Nifty. Nifty and crude oil
Gemini RSI Divergence SignalsLolLol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
Lol
HWEMA + Ceiling/Channel Combo testThis is a test script. Was developed as a decaying ATR smoothed with HMA
Bullish_1Hour_entry_Indicator with Alertsthis indicator consioders entry basis of EMAs convergence , VWAP & Multitime frame analysis
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System
WHAT THIS STRATEGY DOES:
This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss.
TECHNICAL METHODOLOGY:
Price Normalization Process:
The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels.
Volatility Detection:
A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars).
Channel Formation Logic:
When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries.
Breakout Signal Generation:
Two detection modes are available:
Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks.
Any Touch Mode: Breakout occurs when the close price exceeds the boundary.
When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart.
ATR-Based Risk Management:
The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14).
Exit levels are calculated at the moment of breakout:
Long Entry Price = Upper channel boundary
Long TP1 = Entry + (ATR × TP1 Multiplier)
Long TP2 = Entry + (ATR × TP2 Multiplier)
Long SL = Entry - (ATR × SL Multiplier)
For short trades, the calculation inverts:
Short Entry Price = Lower channel boundary
Short TP1 = Entry - (ATR × TP1 Multiplier)
Short TP2 = Entry - (ATR × TP2 Multiplier)
Short SL = Entry + (ATR × SL Multiplier)
Trade Execution Logic:
When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average.
If all conditions are met:
strategy.entry() opens a position using the user-defined number of contracts
strategy.exit() immediately places a stop loss order
The code monitors price against TP1 and TP2 levels on each bar
When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order.
Volume Analysis System:
The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available:
Volume Mode: Shows total volume as bars scaled relative to the 20-period average
Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline
Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below
The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades.
INPUT PARAMETERS:
Strategy Settings:
Number of Contracts: Fixed quantity to trade per signal (1-1000)
Require Volume Confirmation: Toggle to only trade signals with volume >120% of average
TP1 Close Contracts: Exact number of contracts to close at first target (1-1000)
Use Trading Hours Filter: Toggle to restrict trading to specified session
Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600")
Main Settings:
Normalization Length: Lookback bars for high/low calculation (1-500, default 100)
Box Detection Length: Period for volatility peak/trough detection (1-100, default 14)
Strong Closes Only: Toggle between body midpoint vs close price for breakout detection
Nested Channels: Allow multiple overlapping channels vs single channel at a time
ATR TP/SL Settings:
ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.)
ATR Length: Smoothing period for ATR (1-100, default 14)
Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0)
Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0)
Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0)
Enable Take Profit 2: Toggle second profit target on/off
VISUAL INDICATORS:
Channel boxes with semi-transparent fill showing consolidation zones
Green/red colored zones at channel boundaries indicating breakout areas
Volume bars displayed within channels using selected mode
TP/SL lines with labels showing both price level and distance in points
Entry signals marked with up/down triangles at breakout price
Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status
HOW TO USE:
For 2-Minute Scalping:
Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods.
For 5-15 Minute Day Trading:
Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional.
For Hourly+ Swing Trading:
Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups.
BACKTEST CONSIDERATIONS:
Strategy performs best during trending or volatility expansion phases
Consolidation-heavy or choppy markets produce more false signals
Shorter timeframes require wider stop loss multipliers due to noise
Commission and slippage significantly impact performance on sub-5-minute charts
Volume confirmation generally improves win rate but reduces trade frequency
ATR multipliers should be optimized for specific instrument characteristics
COMPATIBLE MARKETS:
Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function.
KNOWN LIMITATIONS:
Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility
request.security() on lower timeframes requires higher-tier TradingView subscription
False breakouts inherent to breakout strategies cannot be completely eliminated
Performance varies significantly based on market regime (trending vs ranging)
Partial closing logic requires sufficient position size relative to TP1 close contracts setting
RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions.
ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.
Trader Marks Trailing SL + TP (BE @ 60%)This script provides a unique stop-loss and take-profit management tool designed for swing traders.
It introduces a two-stage stop-loss logic that is not available in standard TradingView tools:
Break-Even Protection: Once a defined profit threshold (e.g. 66%) is reached, the stop-loss automatically moves to break-even.
ATR-Based Trailing Stop: After a chosen delay (e.g. 12 hours), the script activates a dynamic trailing stop that follows market volatility using the ATR.
Flexible Ratchet Mechanism: The stop-loss can be locked at new profit levels and will never move backwards.
This combination allows traders to secure profits while still giving the trade room to develop. The indicator is especially useful for swing trading on 4H and daily timeframes but can be applied to other styles as well.
How to use:
Enter your entry price, stop-loss, and take-profit levels.
Choose your trailing mode: Exact S/L+ (simple) or Advanced (Delay + BE + Ratchet).
Adjust parameters such as ATR length or activation delay to match your strategy.
The script helps you balance risk and reward by ensuring that once the trade moves in your favor, you cannot lose the initial risk, while still benefiting from extended market moves.
Bollinger Bands (Log Scale)📈 Bollinger Bands on log scale are broken.
Many traders use log charts for better price symmetry—but still apply Bollinger Bands calculated on linear price. That mismatch creates distorted signals.
Here’s what I found:
- Standard deviation becomes misleading on log scale
- Band width no longer reflects true volatility
- Breakout signals lose behavioral clarity
🛠 So I rewrote the logic.
My version calculates Bollinger Bands using log(price) for both mean and deviation, then maps the result back to price. It behaves correctly on log charts and aligns better with behavioral scoring.
EMA & HMA with ShadingA simple indicator you can use to shade the area between an EMA and HMA for easier visualization. Hope you find it useful in your trading.
Advanced MA Slope Tool(by ExpertCBCD)New version of MA Slope, originally made by ExpertCBCD.Now you can choose many indicators then compare and confirm their slope. Thanks for ExpertCBCD, hope you can use it like the bow of Robinhood to defeat big banks and take money in the market.
WaveMacBollI wanted to see the two indicators in the candle chart, not in a separate window. And within the Bollinger band, it seemed to put it fine.
Important Note on Line Styles
Due to TradingView's multi-timeframe environment restrictions (timeframe = '', timeframe_gaps = true), I couldn't implement dotted or dashed line styles programmatically. The indicator uses solid lines by default.
If you prefer dotted/dashed lines for better visual distinction:
Add the indicator to your chart
Click on the indicator settings (gear icon)
Go to "Style" tab
Manually change line styles for each plot
Unfortunately, PineScript doesn't support line.new() or similar drawing functions in multi-timeframe mode, limiting our styling options to basic plot styles.
If you know a good solution for implementing dotted/dashed lines in multi-timeframe indicators without using drawing objects, please share it in the comments! I'd love to improve this aspect of the indicator
MACD Josh MACD Study — Visual Crossover Tags
Overview:
This script displays MACD signals in a clear, visual way by showing:
Histogram = EMA(Fast) − EMA(Slow)
Signal = EMA(Histogram, Signal Length)
It adds labels and arrows to help you see crossover events between the Histogram and the Signal line more easily.
⚠️ Disclaimer: This tool is for educational and research purposes only. It is not financial advice or an investment recommendation. Past performance does not guarantee future results. Users should make their own decisions and manage risk responsibly.
Features
Central Zero Line with Signal and Histogram plots
Optional labels/arrows to highlight Histogram–Signal crossovers
Alerts for crossover and crossunder events, integrated with TradingView’s alert system
Standard adjustable inputs: Fast EMA, Slow EMA, Signal EMA
How to Interpret (for study only)
When the Histogram crosses above the Signal, a visual label/arrow marks a positive MACD event
When the Histogram crosses below the Signal, a visual label/arrow marks a negative MACD event
The “BUY/SELL” labels are visual study tags only — they do not represent trade instructions or recommendations
Responsible Usage Tips
Test across multiple timeframes and different assets
Combine with higher-timeframe trend, support/resistance, or volume for confirmation
Use alerts with caution, and always test in a demo environment first
Technical Notes
The script does not use future data and does not repaint signals once bars are closed
Results depend on market conditions and may vary across assets and timeframes
License & Credits
Written in Pine Script® v5 for TradingView
The indicator name shown on chart is for labeling purposes only and carries no implication of advice or solicitation
Enhanced Chande Momentum OscillatorEnhanced Chande Momentum Oscillator (Enh CMO)
📊 Description
The Enhanced Chande Momentum Oscillator is an advanced version of the classic Chande Momentum Oscillator with dynamic envelope boundaries that automatically adapt to market volatility. This indicator provides clear visual signals for potential price reversals and momentum shifts.
Key Features:
Original Chande Momentum Oscillator calculation
Dynamic upper and lower boundaries based on statistical analysis
Adaptive envelope that adjusts to market volatility
Visual fill area between boundaries for easy interpretation
Real-time values table with current readings
Built-in alert conditions for boundary touches
Customizable moving average types (SMA, EMA, WMA)
⚙️ Settings
CMO Settings:
CMO Length (9): Period for calculating the base Chande Momentum Oscillator
Source (close): Price source for calculations
Envelope Settings:
Envelope Length (20): Lookback period for calculating the moving average and standard deviation
Envelope Multiplier (1.5): Multiplier for standard deviation to create upper/lower bounds
Moving Average Type (EMA): Type of moving average for envelope calculation
📈 How to Use
Visual Elements
Lines:
White Line: Main Chande Momentum Oscillator
Red Line: Upper boundary (resistance level)
Green Line: Lower boundary (support level)
Yellow Line: Moving average of CMO (trend direction)
Purple Fill: Visual envelope between boundaries
Reference Lines:
Zero Line: Neutral momentum level
+50/-50 Lines: Traditional overbought/oversold levels
Trading Signals
🔴 Sell/Short Signals
CMO touches or crosses above upper boundary → Potential bearish reversal
CMO is above +50 and declining → Weakening bullish momentum
CMO crosses below yellow MA line while above zero → Momentum shift
🟢 Buy/Long Signals
CMO touches or crosses below lower boundary → Potential bullish reversal
CMO is below -50 and rising → Weakening bearish momentum
CMO crosses above yellow MA line while below zero → Momentum shift
⚡ Advanced Signals
Boundary contraction → Decreasing volatility, potential breakout coming
Boundary expansion → High volatility period, use wider stops
CMO hugging upper boundary → Strong uptrend continuation
CMO hugging lower boundary → Strong downtrend continuation
🎯 Trading Strategies
Strategy 1: Reversal Trading
Wait for CMO to touch extreme boundaries (red or green lines)
Look for divergence with price action
Enter counter-trend position when CMO starts moving back toward center
Set stop beyond the boundary breach point
Take profit near zero line or opposite boundary
Strategy 2: Momentum Confirmation
Use CMO direction to confirm trend
Enter positions when CMO crosses above/below yellow MA line
Hold positions while CMO remains on the correct side of MA
Exit when CMO crosses back through MA line
Strategy 3: Volatility Breakout
Monitor boundary width (envelope expansion/contraction)
When boundaries contract significantly, prepare for breakout
Enter in direction of CMO breakout from narrow range
Use boundary expansion as confirmation signal
⚠️ Important Notes
Best Timeframes
Scalping: 1m, 5m charts
Day Trading: 15m, 30m, 1H charts
Swing Trading: 4H, Daily charts
Market Conditions
Trending Markets: Focus on momentum confirmation signals
Ranging Markets: Focus on boundary reversal signals
High Volatility: Increase envelope multiplier (1.8-2.5)
Low Volatility: Decrease envelope multiplier (1.0-1.3)
Risk Management
Always use stop losses beyond boundary levels
Reduce position size during boundary expansion periods
Combine with price action and support/resistance levels
Monitor the real-time table for precise entry/exit levels
🔔 Alerts
The indicator includes built-in alert conditions:
"CMO Above Upper Bound": Potential reversal down signal
"CMO Below Lower Bound": Potential reversal up signal
Set these alerts to catch opportunities without constantly monitoring charts.
💡 Tips for Success
Combine with other indicators: Use with RSI, MACD, or volume indicators for confirmation
Watch for divergences: CMO making new highs/lows while price doesn't follow
Use multiple timeframes: Check higher timeframe CMO for overall trend context
Adjust settings for different assets: Crypto may need different settings than forex
Paper trade first: Test the indicator with your trading style before using real money
🎨 Customization Tips
Change colors in the Pine Script to match your chart theme
Adjust envelope length for faster (shorter) or slower (longer) signals
Modify envelope multiplier based on asset volatility
Hide the table if it obstructs your view by commenting out the table section
Complete trading solution: Pair with the Optimus Indicator (paid indicator) for multi-timeframe trend analysis and trend signals.
Together they create a powerful confluence system for professional trading setups.
MACD COM PONTOS//@version=5
indicator(title="MACD COM PONTOS", shorttitle="MACD COM PONTOS")
//Plot Inputs
res = input.timeframe("", "Indicator TimeFrame")
fast_length = input.int(title="Fast Length", defval=12)
slow_length = input.int(title="Slow Length", defval=26)
src = input.source(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 999, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= )
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= )
// Show Plots T/F
show_macd = input.bool(true, title="Show MACD Lines", group="Show Plots?", inline="SP10")
show_macd_LW = input.int(3, minval=0, maxval=5, title = "MACD Width", group="Show Plots?", inline="SP11")
show_signal_LW= input.int(2, minval=0, maxval=5, title = "Signal Width", group="Show Plots?", inline="SP11")
show_Hist = input.bool(true, title="Show Histogram", group="Show Plots?", inline="SP20")
show_hist_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP20")
show_trend = input.bool(true, title = "Show MACD Lines w/ Trend Color", group="Show Plots?", inline="SP30")
show_HB = input.bool(false, title="Show Highlight Price Bars", group="Show Plots?", inline="SP40")
show_cross = input.bool(false, title = "Show BackGround on Cross", group="Show Plots?", inline="SP50")
show_dots = input.bool(true, title = "Show Circle on Cross", group="Show Plots?", inline="SP60")
show_dots_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP60")
//show_trend = input(true, title = "Colors MACD Lines w/ Trend Color", group="Show Plots?", inline="SP5")
// MACD Lines colors
col_macd = input.color(#FF6D00, "MACD Line ", group="Color Settings", inline="CS1")
col_signal = input.color(#2962FF, "Signal Line ", group="Color Settings", inline="CS1")
col_trnd_Up = input.color(#4BAF4F, "Trend Up ", group="Color Settings", inline="CS2")
col_trnd_Dn = input.color(#B71D1C, "Trend Down ", group="Color Settings", inline="CS2")
// Histogram Colors
col_grow_above = input.color(#26A69A, "Above Grow", group="Histogram Colors", inline="Hist10")
col_fall_above = input.color(#B2DFDB, "Fall", group="Histogram Colors", inline="Hist10")
col_grow_below = input.color(#FF5252, "Below Grow", group="Histogram Colors",inline="Hist20")
col_fall_below = input.color(#FFCDD2, "Fall", group="Histogram Colors", inline="Hist20")
// Alerts T/F Inputs
alert_Long = input.bool(true, title = "MACD Cross Up", group = "Alerts", inline="Alert10")
alert_Short = input.bool(true, title = "MACD Cross Dn", group = "Alerts", inline="Alert10")
alert_Long_A = input.bool(false, title = "MACD Cross Up & > 0", group = "Alerts", inline="Alert20")
alert_Short_B = input.bool(false, title = "MACD Cross Dn & < 0", group = "Alerts", inline="Alert20")
// Calculating
fast_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length))
slow_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length))
macd = fast_ma - slow_ma
signal = request.security(syminfo.tickerid, res, sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length))
hist = macd - signal
// MACD Trend and Cross Up/Down conditions
trend_up = macd > signal
trend_dn = macd < signal
cross_UP = signal >= macd and signal < macd
cross_DN = signal <= macd and signal > macd
cross_UP_A = (signal >= macd and signal < macd) and macd > 0
cross_DN_B = (signal <= macd and signal > macd) and macd < 0
// Condition that changes Color of MACD Line if Show Trend is turned on..
trend_col = show_trend and trend_up ? col_trnd_Up : trend_up ? col_macd : show_trend and trend_dn ? col_trnd_Dn: trend_dn ? col_macd : na
//Var Statements for Histogram Color Change
var bool histA_IsUp = false
var bool histA_IsDown = false
var bool histB_IsDown = false
var bool histB_IsUp = false
histA_IsUp := hist == hist ? histA_IsUp : hist > hist and hist > 0
histA_IsDown := hist == hist ? histA_IsDown : hist < hist and hist > 0
histB_IsDown := hist == hist ? histB_IsDown : hist < hist and hist <= 0
histB_IsUp := hist == hist ? histB_IsUp : hist > hist and hist <= 0
hist_col = histA_IsUp ? col_grow_above : histA_IsDown ? col_fall_above : histB_IsDown ? col_grow_below : histB_IsUp ? col_fall_below :color.silver
// Plot Statements
//Background Color
bgcolor(show_cross and cross_UP ? col_trnd_Up : na, editable=false)
bgcolor(show_cross and cross_DN ? col_trnd_Dn : na, editable=false)
//Highlight Price Bars
barcolor(show_HB and trend_up ? col_trnd_Up : na, title="Trend Up", offset = 0, editable=false)
barcolor(show_HB and trend_dn ? col_trnd_Dn : na, title="Trend Dn", offset = 0, editable=false)
//Regular Plots
plot(show_Hist and hist ? hist : na, title="Histogram", style=plot.style_columns, color=color.new(hist_col ,0),linewidth=show_hist_LW)
plot(show_macd and signal ? signal : na, title="Signal", color=color.new(col_signal, 0), style=plot.style_line ,linewidth=show_signal_LW)
plot(show_macd and macd ? macd : na, title="MACD", color=color.new(trend_col, 0), style=plot.style_line ,linewidth=show_macd_LW)
hline(0, title="0 Line", color=color.new(color.gray, 0), linestyle=hline.style_dashed, linewidth=1, editable=false)
plot(show_dots and cross_UP ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
plot(show_dots and cross_DN ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
//Alerts
if alert_Long and cross_UP
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short and cross_DN
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Down.", alert.freq_once_per_bar_close)
//Alerts - Stricter Condition - Only Alerts When MACD Crosses UP & MACD > 0 -- Crosses Down & MACD < 0
if alert_Long_A and cross_UP_A
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD > 0 And Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short_B and cross_DN_B
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD < 0 And Crosses Down.", alert.freq_once_per_bar_close)
//End Code
