Enhanced Range Filter Strategy with ATR TP/SLBuilt by Omotola
## **Enhanced Range Filter Strategy: A Comprehensive Overview**
### **1. Introduction**
The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions.
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### **2. Key Components of the Strategy**
#### **A. Range Filter (Trend Determination)**
- The **Range Filter** smooths price fluctuations and helps identify clear trends.
- It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach.
- **Uptrends:** When the current price is above the range filter and the trend is strengthening.
- **Downtrends:** When the price falls below the range filter and momentum confirms the move.
#### **B. RSI (Relative Strength Index) as Momentum Confirmation**
- RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions.
- **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend.
- **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend.
#### **C. ADX (Average Directional Index) for Trend Strength Confirmation**
- ADX ensures that trades are only taken when the trend has **sufficient strength**.
- Avoids trading in low-volatility, ranging markets.
- **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend.
#### **D. ATR (Average True Range) for Risk Management**
- **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades).
- **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets.
- Ensures volatility-adjusted risk management.
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### **3. Entry and Exit Conditions**
#### **📈 Buy (Long) Entry Conditions:**
1. **Price is above the Range Filter** → Indicates an uptrend.
2. **Upward trend strength is positive** (confirmed via trend counter).
3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **📉 Sell (Short) Entry Conditions:**
1. **Price is below the Range Filter** → Indicates a downtrend.
2. **Downward trend strength is positive** (confirmed via trend counter).
3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **🚪 Exit Conditions:**
- **Stop Loss (SL):**
- **Long Trades:** 1 ATR below entry price.
- **Short Trades:** 1 ATR above entry price.
- **Take Profit (TP):**
- Set at **3x the risk distance** to achieve a favorable risk-reward ratio.
- **Ranging Market Exit:**
- If ADX falls below the threshold, indicating a weakening trend.
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### **4. Visualization & Alerts**
- **Colored range filter line** changes based on trend direction.
- **Buy and Sell signals** appear as labels on the chart.
- **Stop Loss and Take Profit levels** are plotted as dashed lines.
- **Gray background highlights ranging markets** where trading is avoided.
- **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation.
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### **5. Advantages of the Enhanced Range Filter Strategy**
✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends.
✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed.
✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements.
✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping.
✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions.
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### **6. Who Should Use This Strategy?**
✔ **Trend Traders** who want to enter trades with momentum confirmation.
✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio.
✔ **Scalpers** who need precise entries and exits to minimize false signals.
✔ **Algorithmic Traders** using alerts for automated execution.
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### **7. Conclusion**
The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions.
This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀
Cerca negli script per "Buy sell"
Multi-Timeframe MA DashboardThis indicator monitors 5 timeframes: 5min, 15min, 1hr, 4hr, and Daily. It displays fast and slow moving averages for each timeframe, along with the current price. The trend direction is color-coded: green for bullish (fast MA above slow MA) and red for bearish (fast MA below slow MA).
The dashboard also shows the last crossover signal (Buy/Sell) for each timeframe.
Visual arrows are plotted on the chart for the current timeframe. A green up arrow indicates a potential bullish crossover (Buy signal), while a red down arrow indicates a potential bearish crossover (Sell signal).
The dashboard is elegant and professional, with alternating row colors for better readability. It can be placed in any corner of the screen and customized with user-defined colors for bullish and bearish trends.
Alerts are triggered when a crossover occurs on any timeframe. These alerts include the timeframe and signal type (e.g., "5min: ↑ BUY").
How to Read the Indicator
The dashboard displays the following for each timeframe:
Fast MA: The value of the fast moving average.
Slow MA: The value of the slow moving average.
Price: The current price for the timeframe.
Trend: The current trend direction (Bullish or Bearish).
Signal: The last crossover signal (↑ BUY or ↓ SELL).
On the chart, green up arrows indicate a bullish crossover (Fast MA crosses above Slow MA), while red down arrows indicate a bearish crossover (Fast MA crosses below Slow MA).
Green text in the dashboard indicates a bullish trend or signal, while red text indicates a bearish trend or signal.
How to Use the Indicator
Use the dashboard to monitor the trend direction across multiple timeframes. Look for confluence (agreement) between timeframes to identify stronger trends. Observe the "Signal" column in the dashboard for the last crossover on each timeframe. Use the arrows on the chart to identify potential crossover points for the current timeframe.
Enable alerts to be notified of crossover signals on any timeframe. Alerts include the timeframe and signal type for easy reference.
Adjust the fast and slow moving average lengths to suit your trading style. Choose between EMA, SMA, or WMA for the moving average type. Customize the dashboard placement and colors for better visibility.
Important Notes
This indicator is not a buy or sell recommendation. It is a tool to assist traders in their analysis. Always use this indicator in conjunction with other tools, such as support/resistance levels, volume analysis, and price action. Past performance of moving averages does not guarantee future results.
How to Add the Indicator
Add the indicator to your chart from the TradingView library. Configure the inputs:
Fast MA Length: Default is 20.
Slow MA Length: Default is 50.
MA Type: Choose between EMA, SMA, or WMA.
Dashboard Placement: Select the corner of the screen where the dashboard will appear.
Colors: Customize the colors for bullish and bearish trends.
Monitor the dashboard and chart for trends and signals.
Disclaimer
This indicator is for educational and informational purposes only. It does not provide financial, investment, or trading advice. Always perform your own analysis and consult with a financial advisor before making trading decisions.
EMA Channel Key K-LinesEMA Channel Setup :
Three 32-period EMAs (high, low, close prices)
Visually distinct colors (red, blue, green)
Gray background between high and low EMAs
Key K-line Identification :
For buy signals: Close > highest EMA, K-line height ≥ channel height, body ≥ 2/3 of range
For sell signals: Close < lowest EMA, K-line height ≥ channel height, body ≥ 2/3 of range
Alternating signals only (no consecutive buy/sell signals)
Visual Markers :
Green "BUY" labels below key buy K-lines
Red "SELL" labels above key sell K-lines
Clear channel visualization
Logic Flow :
Tracks last signal direction to prevent consecutive same-type signals
Strict conditions ensure only significant breakouts are marked
All calculations based on your exact specifications
Trend Strength MeterThe Trend Strength Meter (TSM) is a powerful and versatile indicator designed to help traders identify market trends, measure their strength, and detect potential reversals with ease. This indicator combines the power of moving averages, divergence detection, and a clean, customizable dashboard to provide actionable insights for traders of all levels.
How It Works
Trend Strength Calculation:
1. The TSM calculates the trend strength using the difference between two Exponential Moving Averages (EMAs): a fast EMA (default: 20) and a slow EMA (default: 50).
2. The difference is expressed as a percentage of the slow EMA, providing a clear measure of the trend's strength and direction.
Histogram Visualization:
1. A color-coded histogram visually represents the trend strength:
Green: Bullish trend
Red: Bearish trend
Gray: Neutral or no significant trend
2. A smoothed trend strength line (SMA of the trend strength) is also plotted for better clarity.
Divergence Detection:
1. The indicator detects bullish and bearish divergences using the RSI (Relative Strength Index) and price action.
2. Bullish Divergence: Price makes a lower low, but RSI makes a higher low, signaling potential upward momentum.
3. Bearish Divergence: Price makes a higher high, but RSI makes a lower high, signaling potential downward momentum.
=> Divergences are marked with arrows on the chart:
Green Arrow: Bullish divergence
Red Arrow: Bearish divergence
Dashboard:
1. A clean and informative dashboard displays key information:
Trend Strength Value: The current strength of the trend
Trend Direction: Bullish, Bearish, or Neutral
Last Signal: Buy, Sell, or None (based on divergence signals)
The dashboard is fully customizable and can be positioned anywhere on the chart (e.g., top-right, bottom-left, center, etc.).
Key Features
1. Trend Strength Measurement: Quickly identify the strength and direction of the trend.
2. Divergence Detection: Spot potential reversals before they occur with bullish and bearish divergence signals.
3. Customizable Dashboard: Move the dashboard to your preferred location on the chart for better visibility.
4. User-Friendly Design: Clean visuals and intuitive color coding make it easy to interpret market conditions.
5. Actionable Signals: Provides clear Buy/Sell signals based on divergence, helping traders make informed decisions.
How to Use
1. Trend Confirmation:
Use the histogram and trend strength value to confirm the current market trend.
Green bars indicate a bullish trend, while red bars indicate a bearish trend.
2. Divergence Signals:
Look for divergence arrows (green for bullish, red for bearish) to anticipate potential reversals.
Combine divergence signals with other technical analysis tools for higher accuracy.
3. Dashboard Insights:
Monitor the dashboard for real-time updates on trend strength, direction, and the latest signal.
Use the "Last Signal" (Buy/Sell) to validate your trading decisions.
4. Custom Settings:
Adjust the EMA lengths and divergence lookback period to suit your trading style and timeframe.
Position the dashboard anywhere on the chart for convenience.
Best Practices
1. Use the TSM in conjunction with other indicators or price action analysis for confirmation.
2. Test the indicator on different timeframes to find the one that works best for your strategy.
3. Always practice proper risk management when trading.
Disclaimer
This indicator is a tool to assist in technical analysis and should not be used as a standalone trading strategy. Past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
RSI + MFI Momentum Mapper - CoffeeKillerRSI + MFI Momentum Mapper - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the RSI + MFI Momentum Mapper indicator, an innovative market analysis tool developed by CoffeeKiller that combines two powerful oscillators to create a comprehensive momentum visualization system.
🔔 **Warning: This Is Not a Standard RSI or MFI Indicator** 🔔 This indicator combines and normalizes RSI and MFI data to create a unified momentum representation with boundary detection and peak signaling features.
Core Concept: Combined Momentum Analysis
The foundation of this indicator lies in merging the strengths of two complementary oscillators - Relative Strength Index (RSI) and Money Flow Index (MFI) - to provide a more robust momentum signal that accounts for both price action and volume.
Directional Columns: Momentum Strength
- Positive Green Columns: Bullish momentum
- Negative Red Columns: Bearish momentum
- Color intensity varies based on momentum strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during a bullish phase
- Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase
- Creates visual boundaries showing momentum extremes
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important momentum peaks
- Helps identify potential reversal points and momentum exhaustion
Reference Lines:
- Zero Line (Gray): Divides bullish from bearish momentum
- High Line (+1): Upper threshold for extremely bullish conditions
- Low Line (-1): Lower threshold for extremely bearish conditions
Core Components
1. Oscillator Normalization
- RSI and MFI values centered around zero
- Values scaled to create consistent visualization
- Normalized range typically between -1 and +1
- Combination of indicators for signal reliability
2. Boundary Tracking System
- Automatic detection of highest values in bullish phases
- Automatic detection of lowest values in bearish phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Signal Smoothing
- Signal line calculation via SMA
- Helps filter noise and identify trends
- Provides confirmation of momentum direction
Main Features
Oscillator Settings
- Customizable RSI length for sensitivity control
- Customizable MFI length for sensitivity control
- Normalized display for consistent visualization
- Signal smoothing for clearer readings
Visual Elements
- Color-coded columns showing momentum direction and strength
- Dynamic marker lines for momentum boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
- Reference lines for momentum threshold levels
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for momentum strength
- Peak formation for potential reversals
- Color changes for momentum direction and acceleration
Customization Options
- RSI and MFI length parameters
- Marker line visibility and colors
- Peak marker color selection
- Peak background display options
Trading Applications
1. Trend Identification
- Directional line crossing above zero: bullish trend beginning
- Directional line crossing below zero: bearish trend beginning
- Column color: indicates momentum direction
- Column height: indicates momentum strength
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Directional line approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing momentum
3. Momentum Analysis
- Breaking above previous high boundary: accelerating bullish momentum
- Breaking below previous low boundary: accelerating bearish momentum
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Approaching +1/-1 lines: extreme momentum conditions
4. Market Structure Assessment
- Consecutive higher peaks: strengthening bullish structure
- Consecutive lower troughs: strengthening bearish structure
- Peak comparisons: relative strength of momentum phases
- Boundary line steps: market structure levels
Optimization Guide
1. Oscillator Settings
- RSI Length: Default 14 provides balanced signals
- Lower values (7-10): More responsive, potentially noisier
- Higher values (20-30): Smoother, fewer false signals
- MFI Length: Default 14 provides balanced signals
- Lower values: More responsive to volume changes
- Higher values: Less sensitive to short-term volume spikes
2. Visual Customization
- Marker Line Colors: Adjust for visibility on your chart
- Peak Marker Color: Default yellow provides good contrast
- Enable/disable background highlights based on preference
- Consider chart background when selecting colors
3. Signal Interpretation
- Stronger signals: When directional line approaches +1/-1
- Confirmation: When peaks form after extended momentum
- Early warnings: When color intensity changes before direction
- Trend strength: Distance between zero line and current reading
4. Reference Line Usage
- Zero line: Primary trend divider
- +1/-1 lines: Extreme momentum thresholds
- Marker lines: Dynamic support/resistance levels
- Distance from reference: Momentum strength measure
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm trend changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong momentum
- Use with price action for entry/exit precision
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Multiple timeframes: confirm signals across time horizons
- Match to your trading style and holding period
3. Market Context
- Strong bullish phase: positive columns breaking above marker line
- Strong bearish phase: negative columns breaking below marker line
- Columns approaching zero: potential trend change
- Columns approaching +1/-1: extreme conditions, potential reversal
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with other oscillators for divergence detection
- Combine with volume analysis for validation
- Consider support/resistance levels with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when directional line breaks above previous high marker line
- Enter short when directional line breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in bullish phases for shorting opportunities
- Look for consecutive higher troughs in bearish phases for buying opportunities
- Use zero-line crosses as confirmation
3. Extreme Reading Strategy
- Look for directional line approaching +1/-1 lines
- Watch for color changes and peak formations
- Enter counter-trend positions after confirmed peaks
- Use tight stops due to extreme momentum conditions
4. Column Color Strategy
- Enter long when columns turn bright green (increasing momentum)
- Enter short when columns turn bright red (increasing momentum)
- Exit when color intensity fades (decreasing momentum)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Directional line crosses above zero line
- Green columns grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant momentum peaks
Bearish Market Scenario
- Directional line crosses below zero line
- Red columns grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant momentum troughs
Consolidation Scenario
- Directional line oscillates around zero line
- Column colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Directional values remain small
Understanding Market Dynamics Through RSI + MFI Momentum Mapper
At its core, this indicator provides a unique lens to visualize market momentum by combining two complementary oscillators:
1. Combined Strength: By averaging RSI (price-based) and MFI (volume-based), the indicator provides a more comprehensive view of market momentum that considers both price action and buying/selling pressure.
2. Normalized Scale: The indicator normalizes values around zero, making it easier to identify bullish vs bearish conditions and the relative strength of momentum in either direction.
3. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes.
4. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations.
Remember:
- Combine signals from directional line, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Multi-MA Strategy Analyzer with BacktestMulti-MA Strategy Analyzer with Backtest
This TradingView Pine Script indicator is designed to analyze multiple moving averages (SMA or EMA) dynamically and identify the most profitable one based on historical performance.
Features
Dynamic MA Range:
Specify a minLength, maxLength, and step size.
Automatically calculates up to 20 MAs.
Custom MA Calculation:
Uses custom SMA and EMA implementations to support dynamic length values.
Buy/Sell Logic:
Buy when price crosses above a MA.
Sell when price crosses below.
Supports both long and short trades.
Performance Tracking:
Tracks PnL, number of trades, win rate, average profit, and drawdown.
Maintains individual stats for each MA.
Best MA Detection:
Automatically highlights the best-performing MA.
Optional showBestOnly toggle to focus only on the best line and its stats.
Visualization:
Up to 20 plot() calls (static) for MAs.
Green highlight for the best MA.
Color-coded result table and chart.
Table View
When showBestOnly = false, the table displays all MAs with stats.
When showBestOnly = true, the table displays only the best MA with a summary row.
Includes:
Best MA length
Total PnL
Number of trades
Win rate
Avg PnL per trade
Max Drawdown
Configuration
minLength (default: 10)
maxLength (default: 200)
step (default: 10)
useEMA: Toggle between EMA and SMA
showBestOnly: Focus on best-performing MA only
Notes
MA plotting is static, limited to 20 total.
Table supports highlighting and is optimized for performance.
Script is structured to run efficiently using arrays and simple int where required.
Potential Extensions
Add visual buy/sell arrows
Export stats to CSV
Strategy tester conversion
Custom date range filtering for backtesting
Author: Muhammad Wasim
Version: 1.0
External Signals Strategy TesterExternal Signals Strategy Tester
This strategy is designed to help you backtest external buy/sell signals coming from another indicator on your chart. It is a flexible and powerful tool that allows you to simulate real trading based on signals generated by any indicator, using input.source connections.
🔧 How It Works
Instead of generating signals internally, this strategy listens to two external input sources:
One for buy signals
One for sell signals
These sources can be connected to the plots from another indicator (for example, custom indicators, signal lines, or logic-based plots).
To use this:
Add your indicator to the chart (it must be visible on the same pane as this strategy).
Open the settings of the strategy.
In the fields Buy Signal and Sell Signal, select the appropriate plot (line, value, etc.) from the indicator that represents the buy/sell logic.
The strategy will open positions when the selected buy signal crosses above 0, and sell signal crosses above 0.
This logic can be easily adapted by modifying the crossover rule inside the script if your signal style is different.
⚙️ Features Included
✅ Configurable trade direction:
You can choose whether to allow long trades, short trades, or both.
✅ Optional close on opposite signal:
When enabled, the strategy will exit the current position if an opposite signal appears.
✅ Optional full position reversal:
When enabled, the strategy will close the current position and immediately open an opposite one on the reverse signal.
✅ Risk Management Tools:
You can define:
Take Profit (TP): Position will be closed once the specified profit (in %) is reached.
Stop Loss (SL): Position will be closed if the price drops to the specified loss level (in %).
BreakEven (BE): Once the specified profit threshold is reached, the strategy will move the stop-loss to the entry price.
📌 If any of these values (TP, SL, BE) are set to 0, the feature is disabled and will not be applied.
🧪 Best Use Cases
Backtesting signals from custom indicators, without rewriting the logic into a strategy.
Comparing the performance of different signal sources.
Testing external indicators with optional position management logic.
Validating strategies using external filters, oscillators, or trend signals.
📌 Final Notes
You can visualize where the strategy detected buy/sell signals using green/red markers on the chart.
All parameters are customizable through the strategy settings panel.
This strategy does not repaint, and it processes signals in real-time only (no lookahead bias).
TICK Bias Timer with EMA Position📌 Description
This indicator tracks the time in minutes that the Exponential Moving Average (EMA) of the NYSE USI:TICK remains above or below the zero line. It serves as a powerful market breadth confirmation tool to support your intraday directional bias.
Rather than focusing on momentary TICK spikes, this tool emphasizes duration and persistence of buying/selling pressure across the entire NYSE – helping traders stay on the right side of the flow.
🔧 Features
✅ Measures how long the EMA of TICK stays above or below 0
✅ Visual plots of upward and downward pressure duration (in minutes)
✅ Background color changes based on EMA position relative to 0
✅ Automatic daily reset at a customizable time (e.g. 15:30 for RTH open)
✅ Gap filter to avoid spikes during overnight or weekend sessions
✅ Clean, minimalist design – built for real-time decision making
🎯 How to Use
EMA > 0 for 10+ minutes → sustained bullish breadth → intraday bullish bias
EMA < 0 for 10+ minutes → sustained bearish breadth → intraday bearish bias
Frequent flip between sides → uncertain or choppy market → trade with caution
Can be used in confluence with Volume Profile, VWAP, price action, and Bookmap to reinforce trade setups.
💡 Ideal For:
Scalpers looking for flow confirmation
Day traders who want to filter fake strength/weakness
Professionals using TICK, USI:ADD , USI:VOLD , and other internals for decision-making
Supply & Demand Zones + Order Block (Pro Fusion) - Auto Order Strategy Title:
Smart Supply & Demand Zones + Order Block Auto Strategy with ScalpPro (Buy-Focused)
📄 Strategy Description:
This strategy combines the power of Supply & Demand Zone analysis, Order Block detection, and an enhanced Scalp Pro momentum filter, specifically designed for automated decision-making based on high-volume breakouts.
✅ Key Features:
Auto Entry (Buy Only) Based on Breakouts
Automatically enters a Buy position when the price breaks out of a valid demand zone, confirmed by EMA 50 trend and volume spike.
Order Block Logic
Identifies bullish and bearish order blocks using consecutive candle structures and significant price movement.
Dynamic Stop Loss & Trailing Stop
Implements a trailing stop once price moves in profit, along with static initial stop loss for risk management.
Clear Visual Labels & Alerts
Displays BUY/SELL, Demand/Supply, and Order Block labels directly on the chart. Alerts trigger on valid breakout signals.
Scalp Pro Momentum Filter (Optimized)
Uses a modified MACD-style momentum indicator to confirm trend strength and filter out weak signals.
[blackcat] L3 Volatility Ehlers Stochastic CGOOVERVIEW
This advanced indicator integrates the Center of Gravity Oscillator (CGO) with an Ehlers-Stochastic framework and an Adaptive Local Minimum-Maximum Average (ALMA) smoothing algorithm. Designed for non-overlaid charts, it identifies market momentum shifts by analyzing price action through multi-layer volatility analysis.
FEATURES
• Dual-line system:
✓ Stochastic CGO: Core oscillating line derived from weighted OHLC price calculations
✓ ALMA Lagging Line: Smoothing component using customizable offset/sigma parameters
• Dynamic color scheme:
✓ Green/red trend differentiation via crossover comparison
✓ Optional fill areas between lines (toggleable)
• Clear trade signals:
✓ Buy/Sell labels triggered by mathematically defined crossovers
✓ Zero-reference baseline marker (#0ebb23)
• Customizable parameters:
Fast Length (9 default) controls CGO sensitivity
Slow Length (5 default) governs ALMA responsiveness
ALMA Offset/Sigma allow adaptive curve optimization
HOW TO USE
Configure core parameters:
• Adjust Fast Length (CGO timeframe window)
• Set Slow Length, ALMA Offset, and Sigma for smoother/laggier response
Interpret visuals:
• Bullish trend = green shaded zone (when primary line above lagging line)
• Bearish trend = red shaded zone (primary line below lagging line)
Analyze signals:
• Buy triggers occur when rising CGO crosses above ALMA while below zero
• Sell triggers activate when falling CGO breaks below ALMA after exceeding zero base
Optimize display:
✓ Enable/disable fill area via Fill Between Lines
LIMITATIONS
• Relies heavily on lookback periods - rapid market changes may reduce predictive accuracy
• Signal frequency increases during high-volatility environments
• Requires additional confirmation methods due to occasional premature crossovers
• Default parameter settings may lack universality across asset classes
NOTES
• Best paired with volume-based confirmations for stronger signals
• Reducing ALMA Sigma sharpens line responsiveness at cost of noise susceptibility
• Increasing Fast Length extends calculation horizon while reducing peak sensitivity
• Weighted OHLC source formula prioritizes closing prices for swing direction assessment
[blackcat] L3 Composite Trading System with ControlOVERVIEW
This indicator combines three distinct trading strategies into a unified decision-making framework. Utilizing KDJ oscillators, MACD divergence analysis, and adaptive signal filtering techniques, it provides actionable buy/sell signals validated against multi-period momentum trends and structural support/resistance levels.
FEATURES
Integrated KDJ oscillator with weighted moving average smoothing
Dynamic MACD difference visualization normalized against price volatility
Multi-layered confirmation process: • Momentum convergence/divergence tracking
• Candle pattern recognition (Yellow/Fuchsia flags)
• SMAs cross-validation (20/60-day thresholds)
Adaptive risk controls via tunable α parameter adjustment
HOW TO USE
Set Alpha Period parameter matching market cycle characteristics
Monitor primary trend direction via candle coloring (green/red zones)
Confirm directional bias using: ▪️ KDJ-J line position relative to zero axis ▪️ MACD histogram slope persistence (>3 bar validation)
Execute trades only when: • Buy/Sell labels align across both oscillator panels • Coincide with candle flag transitions (e.g., red→yellow) • Validate against concurrent SMA breakout conditions
LIMITATIONS
Lag inherent in EMA-based components during rapid reversals
Requires minimum 60-bar history for full functionality
Sensitive to fractal scaling due to normalization methods
Does not account for liquidity/volume dynamics
NOTES
• Yellow/Fuchsia flags reflect relative strength changes vs prior session
• SMA crossover validations have 16-bar lookback memory retention
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants
My original indicator/Strategy:
Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence.
MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise.
MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives.
Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine
The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci).
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend")
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend")
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend")
This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA).
// Calculate average of the three supertends and a smoothed version
superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend")
average_trend = (supertrend1 + supertrend2 + supertrend3) / 3
smoothed_trend = ta.ema(average_trend, superlength)
The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets.
Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite
MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront.
1. Granular Lower Timeframe RSI Momentum Filter
The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe.
// --- Lower Timeframe RSI Filter ---
ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter")
ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation")
ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation")
ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals")
2. Convergent Lower Timeframe MACD Trend-Momentum Filter
The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe.
// --- Lower Timeframe MACD Filter ---
ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter")
ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation")
ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD")
ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD")
ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD")
3. Definitive Volume Confirmation Filter
The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals.
// --- Volume Filter ---
volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter")
volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)")
These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability.
Intuitive Visual Architecture & Actionable Intelligence
MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots:
Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias.
Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend.
Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum.
Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective.
Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action.
MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions.
Strategic Applications for Institutional Mandates
MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include:
High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation.
Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns.
Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment.
Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates.
Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols.
Granular Customization and Parameterized Control
MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include:
Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes.
ATR Length: Control volatility responsiveness in Supertrend calculations.
Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction.
MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering.
Disclaimer
MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
VSA Vol Key VSA Signals
(1) No Demand – Bearish Signal
Low volume, narrow spread.
Price rises, but volume does not increase → Weak market, lack of buyers.
If this appears in an uptrend, it may indicate a potential reversal.
(2) No Supply – Bullish Signal
Low volume, narrow spread.
Price declines, but volume does not increase → Weak selling pressure.
If this appears in an uptrend, it may confirm the continuation of the uptrend.
(3) Stopping Volume – Bullish Reversal Signal
Strong price decline, but unusually high volume.
Candle shows a long lower wick, closing near the top.
Indicates Smart Money absorbing supply, signaling a potential reversal upwards.
(4) Climactic Volume – Possible Trend Reversal
Extremely high volume with a sharp price increase or decrease.
If this occurs after a long trend, it may indicate a trend reversal.
Smart Money may be taking profits after a prolonged price movement.
(5) Effort vs. Result
If volume is high but price movement is weak → Inefficient buying/selling, possible reversal.
If volume is high and price moves strongly in the same direction → Trend is likely to continue.
Forexsom MA Crossover SignalsA Trend-Following Trading Indicator for TradingView
Overview
This indicator plots two moving averages (MA) on your chart and generates visual signals when they cross, helping traders identify potential trend reversals. It is designed to be simple yet effective for both beginners and experienced traders.
Key Features
✅ Dual Moving Averages – Plots a Fast MA (default: 9-period) and a Slow MA (default: 21-period)
✅ Customizable MA Types – Choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average)
✅ Clear Buy/Sell Signals – Displays "BUY" (green label) when the Fast MA crosses above the Slow MA and "SELL" (red label) when it crosses below
✅ Alerts – Get notified when new signals appear (compatible with TradingView alerts)
✅ Clean Visuals – Easy-to-read moving averages with adjustable colors
How It Works
Bullish Signal (BUY) → Fast MA crosses above Slow MA (suggests uptrend)
Bearish Signal (SELL) → Fast MA crosses below Slow MA (suggests downtrend)
Best Used For
✔ Trend-following strategies (swing trading, day trading)
✔ Confirming trend reversals
✔ Filtering trade entries in combination with other indicators
Customization Options
Adjust Fast & Slow MA lengths
Switch between EMA or SMA for smoother or more responsive signals
Why Use This Indicator?
Simple & Effective – No clutter, just clear signals
Works on All Timeframes – From scalping (1M, 5M) to long-term trading (4H, Daily)
Alerts for Real-Time Trading – Never miss a signal
Multi-Indicator Trading DashboardMulti-Indicator Trading Dashboard: Comprehensive Analysis and Actionable Signals
This Pine Script indicator, "Multi-Indicator Trading Dashboard," provides a comprehensive overview of key market indicators and generates actionable trading signals, all presented in a clear, easy-to-read table format on your TradingView chart.
Key Features:
Real-time Indicator Analysis: The dashboard displays real-time values and signals for:
RSI (Relative Strength Index): Tracks overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): Identifies trend changes and momentum.
ADX (Average Directional Index): Measures trend strength.
Volatility (ATR-based): Estimates volatility as a percentage, acting as a VIX proxy for single-symbol charts.
Trend Determination: Analyzes 20, 50, and 200-period EMAs to provide a clear trend assessment (Strong Bullish, Cautious Bullish, Cautious Bearish, Strong Bearish).
Combined Trading Signals: Integrates signals from RSI, MACD, ADX, and trend analysis to generate a combined "Buy," "Sell," or "Neutral" action signal.
User-Friendly Table Display: Presents all information in a neatly organized table, positioned at the top-right of your chart.
Visual Chart Overlays: Plots 20, 50, and 200-period EMAs directly on the chart for visual trend confirmation.
Background Color Alerts: Colors the chart's background based on the "Buy" or "Sell" action signal for quick visual cues.
Customizable Inputs: Allows you to adjust key parameters like RSI lengths, MACD settings, ADX thresholds, and EMA periods.
How It Works:
Indicator Calculations: The script calculates RSI, MACD, ADX, and a volatility proxy (ATR) using standard Pine Script functions.
Trend Analysis: It compares 20, 50, and 200-period EMAs to determine the overall trend direction.
Individual Signal Generation: It generates individual "Buy," "Sell," or "Neutral" signals based on RSI, MACD, and ADX values.
Combined Signal Logic: It combines the individual signals and trend analysis, assigning a "Buy" or "Sell" action only when at least two indicators align.
Table Display: It creates a table and populates it with the calculated values, signals, and trend information.
Chart Overlays: It plots the EMAs on the chart and colors the background based on the combined action signal.
Use Cases:
Quick Market Overview: Get a snapshot of key market indicators and trend direction at a glance.
Confirmation Tool: Use the combined signals to confirm your existing trading strategies.
Educational Purpose: Learn how different indicators interact and influence trading decisions.
Automated Alerting: Set up alerts based on the "Buy" or "Sell" action signals.
Customization:
Adjust the input parameters to fine-tune the indicator's sensitivity to your trading style and the specific market you're analyzing.
Disclaimer:
This indicator is for informational and educational purposes only and should not be considered financial advice. Always conduct thorough research and consult with 1 a qualified professional before making any 2 trading decisions.
Triple SRSI-MFI Ⅲ - Multi TimeframeTriple SRSI-MFI Ⅲ - Multi Timeframe Indicator
Description
The Triple SRSI-MFI Ⅲ - Multi Timeframe indicator is a powerful tool designed to combine Stochastic RSI (SRSI) and Money Flow Index (MFI) across multiple timeframes (higher, current, and lower). It provides a comprehensive view of market momentum and potential overbought/oversold conditions by calculating a weighted hybrid of SRSI-MFI values from three different timeframes. The indicator also integrates Bollinger Bands to help identify trend direction and volatility.
This indicator is ideal for traders who want to analyze market conditions across multiple timeframes without switching charts. It automatically adjusts settings based on the current timeframe and includes a dynamic weighting system optimized for Bitcoin volatility. Additionally, a real-time information panel displays the market state (buy/sell) and signal strength.
Key Features
Multi-Timeframe Analysis: Combines SRSI-MFI from higher, current, and lower timeframes for a holistic view.
Dynamic Weighting: Automatically adjusts weights for each timeframe based on Bitcoin volatility, with an option for manual customization.
Bollinger Bands Integration: Visualizes trend direction and volatility using Bollinger Bands, with customizable source selection.
Real-Time Info Panel: Displays market state (buy/sell) and signal strength (%) in the top-right corner of the chart.
Customizable Settings: Allows users to tweak MFI source, Bollinger Bands parameters, and visibility of individual components.
How to Use
Add to Chart: Add the "Triple SRSI-MFI Ⅲ - Multi Timeframe" indicator to your chart.
Interpret Signals:
Market State (Buy/Sell): Shown in the info panel. "Buy" when the average SRSI-MFI is above the Bollinger Bands basis, "Sell" when below.
Strength (%): The relative position of the average SRSI-MFI within the Bollinger Bands, scaled from 0% to 100%.
Overbought/Oversold Levels: The indicator plots horizontal lines at 80 (overbought) and 20 (oversold). Use these as potential reversal zones.
Combine with Price Action: Use the indicator in conjunction with price action or other tools for better decision-making.
Adjust Settings: Customize the settings (e.g., Bollinger Bands length, weights, visibility) to match your trading style.
Settings
MFI Source: Select the source for MFI calculation (default: "hlc3"). Options include "close", "open", "high", "low", "hl2", "hlc3", "ohlc4".
Bollinger Bands:
Length: Period for Bollinger Bands calculation (default: 20).
Multiplier: Standard deviation multiplier for the bands (default: 2.0).
Source: Choose which SRSI-MFI value to use for Bollinger Bands ("averageHybrid", "hybrid_higher", "hybrid_current", "hybrid_lower"; default: "hybrid_higher").
Weights:
Auto Weight Enabled: Enable/disable automatic weights based on Bitcoin volatility (default: true).
Higher/Current/Lower Weights: Manually set weights for each timeframe if auto-weight is disabled (defaults: 1.5, 1.0, 0.5).
Indicator On/Off:
Toggle visibility for Higher SRSI-MFI, Current SRSI-MFI, Lower SRSI-MFI, Average SRSI-MFI, and Bollinger Bands.
How It Works
SRSI-MFI Calculation:
Stochastic RSI (SRSI) and Money Flow Index (MFI) are calculated for three timeframes: higher, current, and lower.
The hybrid value (SRSI * (MFI / 100)) is computed for each timeframe.
Weighted Average:
The hybrid values are combined into a weighted average (averageHybrid) using dynamic or manual weights.
Bollinger Bands:
Bollinger Bands are applied to the selected source (e.g., hybrid_higher) to identify trend direction and volatility.
Relative Position:
The position of averageHybrid within the Bollinger Bands is scaled to a percentage (0% to 100%) for strength assessment.
Visualization:
Plots individual SRSI-MFI lines, Bollinger Bands, and overbought/oversold levels.
A real-time info panel provides market state and signal strength.
Notes
This indicator is best used as part of a broader trading strategy. It is not a standalone signal generator and should be combined with other forms of analysis.
The automatic weights are optimized for Bitcoin (BTC) volatility. For other assets, you may need to adjust the weights manually.
The indicator may require sufficient historical data to calculate higher and lower timeframe values accurately.
BCVC - Volume & Big Candle ColorThe BCVC (Volume & Big Candle Color) indicator helps traders identify significant price movements accompanied by unusual volume activity. By dynamically coloring bars based on volume spikes and candle size, it highlights potential momentum shifts, breakouts, or reversals. This tool is ideal for traders who want to:
Spot institutional buying/selling activity.
Confirm trend strength using volume and price volatility.
Filter noise by focusing on high-impact bars.
Key Features
Volume Spike Detection:
Compares current volume to a moving average (EMA) of volume.
Highlights bars where volume exceeds the average by a user-defined multiplier.
Big Candle Detection:
Identifies bars with a range (high-low) larger than the historical average range (EMA of candle ranges).
Thresholds for "big candles" are customizable.
Color-Coded Logic:
White Bars: High volume + Big candle + Bullish (close > open).
Orange Bars: High volume + Big candle + Bearish (close < open).
Blue Bars: High volume + Regular candle + Bullish.
Maroon Bars: High volume + Regular candle + Bearish.
Input Parameters
Volume Settings:
Volume Period: EMA length for average volume calculation (default: 20).
Volume Multiplier: Threshold multiplier for volume spikes (e.g., 1.25 = 25% above average).
Candle Size Settings:
Lookback Period: EMA length for average candle range (default: 7).
Big Candle Multiplier: Threshold multiplier for large candles (e.g., 1.3 = 30% above average range).
How It Works
Volume Analysis:
The indicator calculates an EMA of volume over the specified period.
If the current bar’s volume exceeds Average Volume × Volume Multiplier, it’s flagged as a high-volume bar.
Candle Range Analysis:
The average candle range (high-low) is calculated using an EMA over the lookback period.
A "big candle" is identified when the current bar’s range exceeds Average Range × Big Candle Multiplier.
Combined Signals:
High-volume bars are colored based on whether they are bullish/bearish and whether their range exceeds the big-candle threshold.
Example: A white bar (high volume + big candle + bullish) suggests strong buying pressure with institutional participation.
Usage Scenarios
Breakout Confirmation: A white/orange bar at a support/resistance level may validate a breakout.
Reversal Signals: A maroon/orange bar after a long trend could indicate exhaustion and potential reversal.
Trend Strength: Clusters of blue/white bars during uptrends (or maroon/orange in downtrends) confirm momentum.
Benefits
Visual Clarity: Instantly spot high-impact bars without manually scanning volume or candle size.
Customizable Sensitivity: Adjust multipliers to filter noise (e.g., increase for fewer signals).
Universal Application: Works on all timeframes and instruments (stocks, forex, crypto).
Notes
Best Paired With: Trendlines, support/resistance levels, or momentum oscillators (e.g., RSI).
Avoid False Signals: Use higher multipliers (e.g., 1.5) on lower timeframes to reduce noise.
Trend Catcher SwiftEdgeTrend Catcher SwiftEdge
Overview
The Trend Catcher SwiftEdge is a simple yet effective tool designed to help traders identify potential trend directions using two Simple Moving Averages (SMAs). It plots two SMAs based on the high and low prices of the chart, visually highlights trend conditions, and provides buy/sell labels to assist with trade entries. This indicator is best used as part of a broader trading strategy and should not be relied upon as a standalone signal generator.
How It Works
Two SMAs: The indicator calculates two SMAs: one based on the lowest price (Low) and one based on the highest price (High) over a user-defined period (default: 20).
Dynamic Colors:
Green: When the price is above both SMAs (indicating a potential uptrend).
Red: When the price is below both SMAs (indicating a potential downtrend).
Purple: When the price is between the SMAs (indicating consolidation).
The SMAs and the background between them change color dynamically to reflect the current trend condition.
Buy/Sell Labels:
A "Buy" label appears when an entire candlestick (including its low) crosses above both SMAs, marking the start of a potential uptrend.
A "Sell" label appears when an entire candlestick (including its high) crosses below both SMAs, marking the start of a potential downtrend.
To reduce noise, only one label is shown per trend direction. The indicator resets when the price enters the consolidation zone (purple), allowing for a new signal when the next trend begins.
Settings
SMA Length: Adjust the period of the SMAs (default: 20). A longer period smooths the SMAs and focuses on larger trends, while a shorter period makes the indicator more sensitive to price changes.
How to Use
Add the indicator to your chart.
Look for "Buy" labels to consider potential long entries during uptrends (green zone).
Look for "Sell" labels to consider potential short entries during downtrends (red zone).
Use the purple consolidation zone to prepare for potential breakouts.
Always combine this indicator with other forms of analysis (e.g., support/resistance, volume, or other indicators) to confirm signals.
Important Notes
This indicator is a tool to assist with identifying trend directions and potential entry points. It does not guarantee profits and should be used as part of a comprehensive trading strategy.
False signals can occur, especially in choppy or ranging markets. Consider using additional filters or confirmations to improve reliability.
Backtest the indicator on your chosen market and timeframe to understand its behavior before using it in live trading.
Feedback
If you have suggestions or feedback, feel free to leave a comment. Happy trading!
Standard Deviation SMA RSI | mad_tiger_slayerOverview of the Script
The Standard Deviation SMA RSI is a custom TradingView indicator that enhances the Relative Strength Index (RSI) by incorporating a Simple Moving Average (SMA) and Standard Deviation bands . This approach smooths RSI calculations while factoring in volatility to provide clearer trend signals . Additionally, the indicator includes overbought and oversold thresholds, trend-coded RSI signals , and dynamic volatility bands for improved market analysis. This indicator is designed for swing traders and long-term investors looking to capture high-probability trend shifts.
How Do Traders Use the Standard Deviation SMA RSI?
In the provided chart image, the indicator is displayed on a price chart. Each visual component serves a distinct function in identifying trend conditions and volatility levels .
INTENDED USES
⚠️ NOT INTENDED FOR SCALPING
With the smoothing nature of the SMA-based RSI , this indicator is not designed for low-timeframe scalping. It works best on timeframes above 1-hour , with optimal performance in 12-hour, daily, and higher timeframes.
📈 TREND-FOLLOWING & MEAN REVERSION
The Standard Deviation SMA RSI functions as both a trend-following and mean-reverting indicator:
Trend-Following: Identifies strong, sustained trends using RSI signals and SMA confirmation.
Mean Reversion: Detects overbought/oversold conditions based on standard deviation bands and RSI thresholds .
A VISUAL REPRESENTATION OF INTENDED USES
RSI Line (Green/Pink/Gray): The RSI line dynamically changes color based on trend conditions .
Green RSI → Strong uptrend, RSI above the uptrend threshold.
Pink RSI → Downtrend, RSI below the downtrend threshold.
Gray RSI → Neutral state or consolidation.
If the SMA of RSI is above Long Threshold , the market is in a bullish trend.
If it’s below Short Threshold, bearish conditions prevail.
Threshold Lines (Teal/Purple):
Green Line → Long Entry Threshold
Red Line → Short Entry Threshold
Standard Deviation Bands:
Upper Band → Measures bullish volatility expansion
Lower Band → Measures bearish volatility expansion
Colored Candles: Price candles adjust color based on RSI conditions , visually aligning price action with market trends.
Indicator's Primary Elements
Input Parameters
The script includes several configurable settings, allowing users to tailor the indicator to different market environments:
RSI Length: Controls the number of periods for RSI calculations.
SMA Length: Defines the period for the SMA applied to RSI , creating a smoothed trend line.
Standard Deviation Period: Determines the length for volatility calculations.
Overbought and Oversold Levels:
Can be adjusted to customize sensitivity.
Standard Deviation SMA RSI Calculation
The SMA-based RSI smooths fluctuations while the standard deviation bands measure price volatility.
Upper and Lower Bands: Calculated by adding/subtracting standard deviation to/from the SMA-based RSI.
Trend Signal Calculation:
RSI is compared to uptrend and downtrend thresholds to determine buy/sell conditions.
Long and Short Conditions
Buy and sell conditions are determined by RSI relative to key thresholds :
Bullish Signal: RSI above long threshold & SMA confirms trend .
Bearish Signal: RSI below short threshold & SMA confirms downtrend .
Reversals: RSI entering overbought/oversold areas suggests possible trend reversals.
Conclusion
The Standard Deviation SMA RSI is a powerful trend-following and mean-reverting tool , offering enhanced insights into RSI movements, volatility, and market strength . By combining SMA smoothing, standard deviation bands, and dynamic thresholds , traders can better identify trend confirmations, reversals, and overextended conditions .
✅ Customizable settings allow traders to optimize sensitivity.
✅ Works best on high timeframes (12H, Daily, Weekly).
✅ Ideal for swing traders and long-term investors.
MACD with TrendIndicator Name: MACD with Trend & Multi-Timeframe Dashboard
Why Use This Indicator?
Two MACDs for Double Confirmation:
It integrates both a standard MACD (fast/slow lengths of your choice) and a Trend MACD (longer lengths). The standard MACD identifies short-term momentum shifts, while the Trend MACD helps confirm the higher-level market trend.
Multi-Timeframe 50/200 SMA Overview:
A built-in dashboard quickly shows whether the 50-period moving average is above or below the 200-period moving average across multiple timeframes (Monthly, Weekly, Daily, etc.). At a glance, you can see if higher timeframes agree with your immediate trading setup.
Clear Buy/Sell Signals:
The script plots buy arrows when the MACD histogram crosses from negative to positive, plus an additional label for the Trend MACD crossing. The same goes for sell signals if momentum flips from positive to negative. This clarity can reduce guesswork.
Customizable & Intuitive:
Easily adjust moving average types (SMA or EMA), lengths, and source inputs to suit different asset classes or personal preferences. Visual color coding helps you quickly interpret bullish vs. bearish conditions.
Recommended Trading Approach
Identify Overall Trend
Check the Trend MACD histogram and the multi-timeframe dashboard (50/200 SMAs). If you see bullish alignment on higher timeframes (e.g., Daily, Weekly) and the Trend MACD is above zero, you know the market environment is supportive for long trades.
Pinpoint Entry Using Standard MACD
Wait for the standard MACD histogram to cross above zero or for a labeled “Buy Signal.” This indicates short-term momentum turning bullish in sync with the broader trend. If the market is already trending up (confirmed by the dashboard), the probability of a successful long entry often improves.
Set a Stop-Loss & Take-Profit
While not included in the code, adding an ATR- or price-based stop-loss can protect against sudden reversals. A simple approach is risking 1–2% per trade and aiming for a 1.5–2× reward relative to that risk.
Monitor Sell Signals
If the short-term MACD crosses below zero—triggering a “Sell Signal”—and the Trend MACD also turns down (or the dashboard flips bearish), consider exiting the position or tightening stops. This alignment of short- and long-term indicators often signals a shift in momentum that could threaten your open profits.
Summary
The MACD with Trend & Multi-Timeframe Dashboard is a versatile, all-in-one toolkit. It combines the immediacy of short-term MACD signals, the validation of a longer-term trend oscillator, and the broader insight of multi-timeframe moving averages. Whether you are a swing trader looking for alignment across bigger trends or a shorter-term trader wanting clear momentum triggers, this indicator helps streamline decision-making and reduce noise.
Disclaimer: As with all technical analysis tools, there is no guarantee of success. Always combine indicator signals with sound risk management and a thorough understanding of market conditions
Trend Detection
#### *Description:*
This *Trend Detection* indicator is designed to help traders identify and confirm trends in the market using a combination of moving averages, volume analysis, and MACD filters. It provides clear visual signals for uptrends and downtrends, along with customizable settings to adapt to different trading styles and timeframes. The indicator is suitable for both beginners and advanced traders who want to improve their trend-following strategies.
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#### *Key Features:*
1. *Trend Detection:*
- Uses *Moving Averages (MA)* to determine the overall trend direction.
- Supports multiple MA types: *SMA (Simple), **EMA (Exponential), **WMA (Weighted), and **HMA (Hull)*.
2. *Advanced Filters:*
- *MACD Filter:* Confirms trends using MACD crossovers.
- *Volume Filter:* Ensures trends are supported by above-average volume.
- *Multi-Timeframe Filter:* Validates trends using a higher timeframe (e.g., Daily or Weekly).
3. *Visual Signals:*
- Plots a *trend line* on the chart to indicate the current trend direction.
- Fills the background with *green* for uptrends and *red* for downtrends.
4. *Customizable Settings:*
- Adjust the *MA lengths, **MACD parameters, and **confirmation thresholds* to suit your trading strategy.
- Control the transparency of the background fill for better chart readability.
5. *Alerts:*
- Generates *buy/sell signals* when a trend is confirmed.
- Alerts can be set to trigger at the close of a candle for precise entry/exit points.
---
#### *How to Use:*
1. *Adding the Indicator:*
- Copy and paste the Pine Script code into the TradingView Pine Script editor.
- Add the indicator to your chart.
2. *Configuring the Settings:*
- *Trend Settings:*
- Choose the *MA type* (e.g., EMA for faster response, HMA for smoother trends).
- Set the *Trend MA Period* (e.g., 200 for long-term trends) and *Filter MA Period* (e.g., 100 for medium-term trends).
- *Advanced Filters:*
- Enable/disable the *MACD Filter* and adjust its parameters (Fast, Slow, Signal).
- Enable/disable the *Volume Filter* to ensure trends are supported by volume.
- *Multi-Timeframe Filter:*
- Enable this filter to validate trends using a higher timeframe (e.g., Daily or Weekly).
3. *Interpreting the Signals:*
- *Uptrend:* The trend line turns *green*, and the background is filled with a transparent green color.
- *Downtrend:* The trend line turns *red*, and the background is filled with a transparent red color.
- *Alerts:* Buy/sell signals are generated when the trend is confirmed.
4. *Using Alerts:*
- Set up alerts for *Buy Signal* (bullish reversal) and *Sell Signal* (bearish reversal).
- Alerts can be configured to trigger at the close of a candle for precise execution.
---
#### *Settings and Their Effects:*
1. *MA Type:*
- *SMA:* Smooth but lagging. Best for long-term trends.
- *EMA:* Faster response to price changes. Suitable for medium-term trends.
- *WMA:* Gives more weight to recent prices. Useful for short-term trends.
- *HMA:* Combines speed and smoothness. Ideal for all timeframes.
2. *Trend MA Period:*
- A longer period (e.g., 200) identifies long-term trends but may lag.
- A shorter period (e.g., 50) reacts faster but may produce false signals.
3. *Filter MA Period:*
- Acts as a secondary filter to confirm the trend.
- A shorter period (e.g., 50) provides tighter confirmation but may increase noise.
4. *MACD Filter:*
- Ensures trends are confirmed by MACD crossovers.
- Adjust the *Fast, **Slow, and **Signal* lengths to match your trading style.
5. *Volume Filter:*
- Ensures trends are supported by above-average volume.
- Reduces false signals during low-volume periods.
6. *Multi-Timeframe Filter:*
- Validates trends using a higher timeframe (e.g., Daily or Weekly).
- Increases reliability but may delay signals.
7. *Confirmation Value:*
- Sets the minimum percentage deviation from the trend MA required to confirm a trend.
- A higher value (e.g., 2.0%) reduces false signals but may delay trend detection.
8. *Confirmation Bars:*
- Sets the number of bars required to confirm a trend.
- A higher value (e.g., 5 bars) ensures sustained trends but may delay signals.
---
#### *Who Should Use This Indicator?*
1. *Trend Followers:*
- Traders who focus on identifying and riding long-term trends.
- Suitable for *swing traders* and *position traders*.
2. *Day Traders:*
- Can use shorter MA periods and faster filters (e.g., EMA, HMA) for intraday trends.
3. *Volume-Based Traders:*
- Traders who rely on volume confirmation to validate trends.
4. *Multi-Timeframe Traders:*
- Traders who use higher timeframes to confirm trends on lower timeframes.
5. *Beginners:*
- Easy-to-understand visual signals and alerts make it beginner-friendly.
6. *Advanced Traders:*
- Customizable settings allow for fine-tuning to match specific strategies.
---
#### *Example Use Cases:*
1. *Long-Term Investing:*
- Use a *200-period SMA* with a *Daily* higher timeframe filter to identify long-term trends.
- Enable the *Volume Filter* to ensure trends are supported by strong volume.
2. *Swing Trading:*
- Use a *50-period EMA* with a *4-hour* higher timeframe filter for medium-term trends.
- Enable the *MACD Filter* to confirm trend reversals.
3. *Day Trading:*
- Use a *20-period HMA* with a *1-hour* higher timeframe filter for short-term trends.
- Disable the *Volume Filter* for faster signals.
---
#### *Conclusion:*
The *Trend Detection* indicator is a versatile tool for traders of all levels. Its customizable settings and advanced filters make it suitable for various trading styles and timeframes. By combining moving averages, volume analysis, and MACD filters, it provides reliable trend signals with minimal lag. Whether you're a beginner or an advanced trader, this indicator can help you make better trading decisions by identifying and confirming trends in the market.
---
#### *Publishing on TradingView:*
- *Title:* Trend Detection with Advanced Filters
- *Description:* A powerful trend detection tool using moving averages, volume analysis, and MACD filters. Suitable for all trading styles and timeframes.
- *Tags:* Trend, Moving Averages, MACD, Volume, Multi-Timeframe
- *Category:* Trend-Following
- *Access:* Public or Private (depending on your preference).
---
Let me know if you need further assistance or additional features!
fractal candle The fractal candle technical indicator to identify potential trend reversals in financial markets. It works by counting a series of price bars and looking for specific patterns that indicate when a trend is likely to reverse.
How the Indicator Works:
Counting Candles:
The indicator compares the closing price of the current candle with the closing price from 4 candles ago.
If the current close is higher, the bullish (buy) count increases.
If the current close is lower, the bearish (sell) count increases.
When a count reaches 9 or 13, it may signal a trend reversal.
Buy and Sell Setup:
A buy setup occurs when there have been 9 consecutive candles where each close is lower than the close 4 candles before. This suggests a possible bullish reversal.
A sell setup occurs when there have been 9 consecutive candles where each close is higher than the close 4 candles before. This suggests a possible bearish reversal.
Support and Resistance Levels:
The indicator tracks previous highs and lows during buy/sell setups to identify potential support and resistance levels.
These levels can help traders decide where price might reverse or consolidate.
Candle Coloring for Visual Aid:
The script changes candle colors:
Red for sell signals 📉
Green for buy signals 📈
Different shades for overshoot conditions (extended trends)
Market Structure Break with Volume & ATR#### Indicator Overview:
The *Market Structure Break with Volume & ATR (MSB+VolATR)* indicator is designed to identify significant market structure breakouts and breakdowns using a combination of price action, volume analysis, and volatility (ATR). It is particularly useful for traders who rely on higher timeframes for swing trading or positional trading. The indicator highlights bullish and bearish breakouts, retests, fakeouts, and potential buy/sell signals based on RSI overbought/oversold conditions.
---
### Key Features:
1. *Market Structure Analysis*:
- Identifies swing highs and lows on a user-defined higher timeframe.
- Detects breakouts and breakdowns when price exceeds these levels with volume and ATR validation.
2. *Volume Validation*:
- Ensures breakouts are accompanied by above-average volume, reducing the likelihood of false signals.
3. *ATR Filter*:
- Filters out insignificant breakouts by requiring the breakout size to exceed a multiple of the ATR.
4. *RSI Integration*:
- Adds a momentum filter by considering overbought/oversold conditions using RSI.
5. *Visual Enhancements*:
- Draws colored boxes to highlight breakout zones.
- Labels breakouts, retests, and fakeouts for easy interpretation.
- Displays stop levels for potential trades.
6. *Alerts*:
- Provides alert conditions for buy and sell signals, enabling real-time notifications.
---
### Input Settings and Their Effects:
1. **Timeframe (tf):
- Determines the higher timeframe for market structure analysis.
- *Effect*: A higher timeframe (e.g., 1D) reduces noise and provides more reliable swing points, while a lower timeframe (e.g., 4H) may generate more frequent but less reliable signals.
2. **Lookback Period (length):
- Defines the number of historical bars used to identify significant highs and lows.
- *Effect*: A longer lookback period (e.g., 50) captures broader market structure, while a shorter period (e.g., 20) reacts faster to recent price action.
3. **ATR Length (atr_length):
- Sets the period for ATR calculation.
- *Effect*: A shorter ATR length (e.g., 14) reacts faster to recent volatility, while a longer length (e.g., 21) smooths out volatility spikes.
4. **ATR Multiplier (atr_multiplier):
- Filters insignificant breakouts by requiring the breakout size to exceed ATR × multiplier.
- *Effect*: A higher multiplier (e.g., 0.2) reduces false signals but may miss smaller breakouts.
5. **Volume Multiplier (volume_multiplier):
- Sets the volume threshold for breakout validation.
- *Effect*: A higher multiplier (e.g., 1.0) ensures stronger volume confirmation but may reduce the number of signals.
6. **RSI Length (rsi_length):
- Defines the period for RSI calculation.
- *Effect*: A shorter RSI length (e.g., 10) makes the indicator more sensitive to recent price changes, while a longer length (e.g., 20) smooths out RSI fluctuations.
7. *RSI Overbought/Oversold Levels*:
- Sets the thresholds for overbought (default: 70) and oversold (default: 30) conditions.
- *Effect*: Adjusting these levels can make the indicator more or less conservative in generating signals.
8. **Stop Loss Multiplier (SL_Multiplier):
- Determines the distance of the stop-loss level from the entry price based on ATR.
- *Effect*: A higher multiplier (e.g., 2.0) provides wider stops, reducing the risk of being stopped out prematurely but increasing potential losses.
---
### How It Works:
1. *Breakout Detection*:
- A bullish breakout occurs when the close exceeds the highest high of the lookback period, with volume above the threshold and breakout size exceeding ATR × multiplier.
- A bearish breakout occurs when the close falls below the lowest low of the lookback period, with similar volume and ATR validation.
2. *Retest Logic*:
- After a breakout, if price retests the breakout zone without closing beyond it, a retest label is displayed.
3. *Fakeout Detection*:
- If price briefly breaks out but reverses back into the range, a fakeout label is displayed.
4. *Buy/Sell Signals*:
- A sell signal is generated when price reverses below a bullish breakout zone and RSI is overbought.
- A buy signal is generated when price reverses above a bearish breakout zone and RSI is oversold.
5. *Stop Levels*:
- Stop-loss levels are plotted based on ATR × SL_Multiplier, providing a visual guide for risk management.
---
### Who Can Use It and How:
1. *Swing Traders*:
- Use the indicator on daily or 4-hour timeframes to identify high-probability breakout trades.
- Combine with other technical analysis tools (e.g., trendlines, Fibonacci levels) for confirmation.
2. *Positional Traders*:
- Apply the indicator on weekly or daily charts to capture long-term trends.
- Use the stop-loss levels to manage risk over extended periods.
3. *Algorithmic Traders*:
- Integrate the buy/sell signals into automated trading systems.
- Use the alert conditions to trigger trades programmatically.
4. *Risk-Averse Traders*:
- Adjust the ATR and volume multipliers to filter out low-probability trades.
- Use wider stop-loss levels to avoid premature exits.
---
### Where to Use It:
- *Forex*: Identify breakouts in major currency pairs.
- *Stocks*: Spot trend reversals in high-volume stocks.
- *Commodities*: Trade breakouts in gold, oil, or other commodities.
- *Crypto*: Apply to Bitcoin, Ethereum, or other cryptocurrencies for volatile breakout opportunities.
---
### Example Use Case:
- *Timeframe*: 1D
- *Lookback Period*: 50
- *ATR Length*: 14
- *ATR Multiplier*: 0.1
- *Volume Multiplier*: 0.5
- *RSI Length*: 14
- *RSI Overbought/Oversold*: 70/30
- *SL Multiplier*: 1.5
In this setup, the indicator will:
1. Identify significant swing highs and lows on the daily chart.
2. Validate breakouts with volume and ATR filters.
3. Generate buy/sell signals when price reverses and RSI confirms overbought/oversold conditions.
4. Plot stop-loss levels for risk management.
---
### Conclusion:
The *MSB+VolATR* indicator is a versatile tool for traders seeking to capitalize on market structure breakouts with added confirmation from volume and volatility. By customizing the input settings, traders can adapt the indicator to their preferred trading style and risk tolerance. Whether you're a swing trader, positional trader, or algorithmic trader, this indicator provides actionable insights to enhance your trading strategy.
