Buy and Sell Signals Based on Price Channel BreakoutsThis indicator generates clear Buy and Sell signals by detecting breakouts from a price channel defined by the highest highs and lowest lows over a user-defined period.
A Buy signal triggers when the price closes above the previous bar’s channel high, indicating potential upward momentum.
A Sell signal triggers when the price closes below the previous bar’s channel low, signaling potential downward momentum.
The indicator maintains the position until an opposite breakout occurs, reducing noise and false signals common in scalping strategies.
Ideal for intraday scalpers using 1-minute or 5-minute charts who want to trade breakout momentum with simple, visual signals.
Includes alert conditions for Buy and Sell signals to keep you notified in real-time.
Signals
Mutanabby_AI | Fresh Algo V24Mutanabby_AI | Fresh Algo V24: Advanced Multi-Mode Trading System
Overview
The Mutanabby_AI Fresh Algo V24 represents a sophisticated evolution of multi-component trading systems that adapts to various market conditions through advanced operational configurations and enhanced analytical capabilities. This comprehensive indicator provides traders with multiple signal generation approaches, specialized assistant functions, and dynamic risk management tools designed for professional market analysis across diverse trading environments.
Primary Signal Generation Framework
The Fresh Algo V24 operates through two fundamental signal generation approaches that accommodate different market perspectives and trading philosophies. The Trending Signals Mode serves as the primary trend-following mechanism, combining Wave Trend Oscillator analysis with Supertrend directional signals and Squeeze Momentum breakout detection. This mode incorporates ADX filtering that requires values exceeding 20 to ensure sufficient trend strength exists before signal activation, making it particularly effective during sustained directional market movements where momentum persistence creates profitable trading opportunities.
The Contrarian Signals Mode provides an alternative approach targeting reversal opportunities through extreme market condition identification. This mode activates when the Wave Trend Oscillator reaches critical threshold levels, specifically when readings surpass 65 indicating potential bearish reversal conditions or drop below 35 suggesting bullish reversal opportunities. This methodology proves valuable during overextended market phases where mean reversion becomes statistically probable.
Advanced Filtering Mechanisms
The system incorporates multiple sophisticated filtering mechanisms designed to enhance signal quality and reduce false positive occurrences. The High Volume Filter requires volume expansion confirmation before signal activation, utilizing exponential moving average calculations to ensure institutional participation accompanies price movements. This filter substantially improves signal reliability by eliminating low-conviction breakouts that lack adequate volume support from professional market participants.
The Strong Filter provides additional trend confirmation through 200-period exponential moving average analysis. Long position signals require price action above this benchmark level, while short position signals necessitate price action below it. This ensures strategic alignment with longer-term trend direction and reduces the probability of trading against major market movements that could invalidate shorter-term signals.
Cloud Filter Configuration System
The Fresh Algo V24 offers four distinct cloud filter configurations, each optimized for specific trading timeframes and market approaches. The Smooth Cloud Filter utilizes the mathematical relationship between 150-period and 250-period exponential moving averages, providing stable trend identification suitable for position trading strategies. This configuration generates signals exclusively when price action aligns with cloud direction, creating a more deliberate but highly reliable signal generation process.
The Swing Cloud Filter employs modified Supertrend calculations with parameters specifically optimized for swing trading timeframes. This filter achieves optimal balance between responsiveness and stability, adapting effectively to medium-term price movements while filtering excessive market noise that typically affects shorter-term analytical systems.
For active intraday traders, the Scalping Cloud Filter utilizes accelerated Supertrend calculations designed to capture rapid trend changes effectively. This configuration provides enhanced signal generation frequency suitable for compressed timeframe strategies. The advanced Scalping+ Cloud Filter incorporates Hull Moving Average confirmation, delivering maximum responsiveness for ultra-short-term trading while maintaining signal quality through additional momentum validation processes.
Specialized Assistant Functionality
The system includes two distinct assistant modes that provide supplementary market analysis capabilities. The Trend Assistant Mode activates advanced cloud analysis overlays that display dynamic support and resistance zones calculated through adaptive volatility algorithms. These levels automatically adjust to current market conditions, providing visual guidance for identifying trend continuation patterns and potential reversal areas with mathematical precision.
The Trend Tracker Mode concentrates on long-term trend identification by displaying major exponential moving averages with color-coded fill areas that clarify directional bias. This mode maintains visual simplicity while providing comprehensive trend context evaluation, enabling traders to quickly assess broader market direction and align shorter-term strategies accordingly.
Dynamic Risk Management System
The integrated risk management system automatically adapts across all operational modes, calculating stop loss and take profit targets using Average True Range multiples that adjust to current market volatility. This approach ensures consistent risk parameters regardless of selected operational mode while maintaining relevance to prevailing market conditions.
Stop loss placement occurs at dynamically calculated distances from entry points, while three progressive take profit targets establish at customizable ATR multiples respectively. The system automatically updates these levels upon trend direction changes, ensuring current market volatility influences all risk calculations and maintains appropriate risk-reward ratios throughout trade management.
Comprehensive Market Analysis Dashboard
The sophisticated dashboard provides real-time market analysis including volatility measurements, institutional activity assessment, and multi-timeframe trend evaluation across five-minute through four-hour periods. This comprehensive market context assists traders in selecting appropriate operational modes based on current market characteristics rather than relying exclusively on historical performance data.
The multi-timeframe analysis ensures mode selection considers broader market context beyond the primary trading timeframe, improving overall strategic alignment and reducing conflicts between different temporal market perspectives. The dashboard displays market state classification, volatility percentages, institutional activity levels, current trading session information, and trend pressure indicators with professional formatting and clear visual hierarchy.
Enhanced Trading Assistants
The Fresh Algo V24 includes specialized trading assistant features that complement the primary signal generation system. The Reversal Dot functionality identifies potential reversal points through Wave Trend Oscillator analysis, displaying visual indicators when crossover conditions occur at extreme levels. These reversal indicators provide early warning signals for potential trend changes before they appear in the primary signal system.
The Dynamic Take Profit Labels feature automatically identifies optimal profit-taking opportunities through RSI threshold analysis, marking potential exit points at multiple levels for long positions and corresponding levels for short positions. This automated profit management system helps traders optimize exit timing without requiring constant manual monitoring of technical indicators.
Advanced Alert System
The comprehensive alert system accommodates all operational modes while providing granular notification control for various signal types and risk management events. Traders can configure separate alerts for normal buy signals, strong buy signals, normal sell signals, strong sell signals, stop loss triggers, and individual take profit target achievements.
Cloud crossover alerts notify traders when trend direction changes occur, providing early indication of potential strategy adjustments. The alert system includes detailed trade setup information, timeframe data, and relevant entry and exit levels, ensuring traders receive complete context for informed decision-making without requiring constant chart monitoring.
Technical Foundation Architecture
The Fresh Algo V24 combines multiple proven technical analysis components including Wave Trend Oscillator for momentum assessment, Supertrend for directional bias determination, Squeeze Momentum for volatility analysis, and various exponential moving averages for trend confirmation. Each component contributes specific market insights while the unified system provides comprehensive market evaluation through their mathematical integration.
The multi-component approach reduces dependency on individual indicator limitations while leveraging the analytical strengths of each technical tool. This creates a robust analytical framework capable of adapting to diverse market conditions through appropriate mode selection and parameter optimization, ensuring consistent performance across varying market environments.
Market State Classification
The indicator incorporates advanced market state classification through ADX analysis, distinguishing between trending, ranging, and transitional market conditions. This classification system automatically adjusts signal sensitivity and filtering parameters based on current market characteristics, optimizing performance for prevailing conditions rather than applying static analytical approaches.
The volatility measurement system calculates current market activity levels as percentages, providing quantitative assessment of market energy and helping traders select appropriate operational modes. Institutional activity detection through volume analysis ensures signal generation aligns with professional market participation patterns.
Implementation Strategy Considerations
Successful implementation requires careful matching of operational modes to prevailing market conditions and individual trading objectives. Trending modes demonstrate optimal performance during directional markets with sustained momentum characteristics, while contrarian modes excel during range-bound or overextended market conditions where reversal probability increases.
The cloud filter configurations provide varying degrees of confirmation strength, with smoother settings reducing false signal occurrence at the expense of some responsiveness to price changes. Traders must balance signal quality against signal frequency based on their risk tolerance and available trading time, utilizing the comprehensive customization options to optimize performance for their specific requirements.
Multi-Timeframe Integration
The system provides seamless multi-timeframe analysis through the integrated dashboard, displaying trend alignment across multiple time horizons from five-minute through four-hour periods. This analysis helps traders understand broader market context and avoid conflicts between different temporal perspectives that could compromise trade outcomes.
Session analysis identifies current trading session characteristics, providing context for expected market behavior patterns and helping traders adjust their approach based on typical session volatility and participation levels. This geographic market awareness enhances strategic decision-making and improves timing for trade execution.
Advanced Visualization Features
The indicator includes sophisticated visualization capabilities through gradient candle coloring based on MACD analysis, providing immediate visual feedback on momentum strength and direction. This enhancement allows rapid market assessment without requiring detailed indicator analysis, improving efficiency for traders managing multiple instruments simultaneously.
The cloud visualization system uses color-coded fill areas to clearly indicate trend direction and strength, with automatic adaptation to selected operational modes. This visual clarity reduces analytical complexity while maintaining comprehensive market information display through professional chart presentation.
Performance Optimization Framework
The Fresh Algo V24 incorporates performance optimization features including signal strength classification, automatic parameter adjustment based on market conditions, and dynamic filtering that adapts to current volatility levels. These optimizations ensure consistent performance across varying market environments while maintaining signal quality standards.
The system automatically adjusts sensitivity levels based on selected operational modes, ensuring appropriate responsiveness for different trading approaches. This adaptive framework reduces the need for manual parameter adjustments while maintaining optimal performance characteristics for each operational configuration.
Conclusion
The Mutanabby_AI Fresh Algo V24 represents a comprehensive solution for professional trading analysis, combining multiple analytical approaches with advanced visualization and risk management capabilities. The system's strength lies in its adaptive multi-mode design and sophisticated filtering mechanisms, providing traders with versatile tools for various market conditions and trading styles.
Success with this system requires understanding the relationship between different operational modes and their optimal application scenarios. The comprehensive dashboard and alert system provide essential market context and trade management support, enabling systematic approach to market analysis while maintaining flexibility for individual trading preferences.
The indicator's sophisticated architecture and extensive customization options make it suitable for traders at all experience levels, from those seeking systematic signal generation to advanced practitioners requiring comprehensive market analysis tools. The multi-timeframe integration and adaptive filtering ensure consistent performance across diverse market conditions while providing clear guidelines for strategic implementation.
SmartFib Pro [By TraderMan]📊 SmartFib Pro — Smart Fibonacci Support & Resistance + TP/SL + Live Position Tracking
🚀 With SmartFib Pro , automatically track Fibonacci support and resistance levels on your chart!
This indicator dynamically shows long/short entry points, TP (Take Profit), and SL (Stop Loss) levels based on price movements, with easy-to-read lines. You can also monitor your position status live via a table at the top-right of your screen.
⚙️ How It Works?
📈 When price breaks key Fibonacci levels (especially 78.6% and 23.6%), the indicator automatically generates long or short signals.
Entry lines are drawn in blue, TP lines in green, and SL lines in red.
Entry, TP, and SL levels are displayed as labels next to the lines.
Active position lines and labels remain on the chart while the position is open, and past position lines are cleared automatically.
When TP or SL is hit, the indicator instantly notifies on the chart and in the table with “TP SUCCESSFUL” or “STOP HIT.”
🛠️ How to Use?
Add the indicator to your chart.
Adjust Fibonacci high and low lengths (default 50 bars) and line length (default 50 bars) from the inputs.
Long signals are generated when price breaks above the 78.6% level; short signals occur when price breaks below the 23.6% level.
TP is automatically set 3.5% away from the entry line, SL is set 1.5% away.
Follow the blue (entry), green (TP), and red (SL) lines and their labels on the chart.
Monitor your position info live in the top-right table.
When TP or SL triggers, position closes, and lines/labels are cleared for the next signal.
💡 Why SmartFib Pro?
✅ Automated position entry and exit strategy based on Fibonacci levels
✅ Live position tracking and status updates to help your trading decisions
✅ Clear, colorful, and minimalistic chart visuals eliminate clutter
✅ Ideal for both beginners and pros, providing fast and reliable signals
📣 Important Notes:
This indicator generates signals but always use proper risk management according to market conditions!
You can adjust TP/SL percentages to fit your own risk tolerance.
Always support signals with your own analysis.
💬 Catch the trend, manage your risk, and grow your profits with SmartFib Pro!
📈🔵🟢🔴
Zero Lag Liquidity [AlgoAlpha]🟠 OVERVIEW
This script plots liquidity zones with zero lag using lower-timeframe wick profiles and high-volume wicks to mark key price reactions. It’s called Zero Lag Liquidity because it captures significant liquidity imbalances in real time by processing lower-TF price-volume distributions directly inside the wick of abnormal candles. The tool builds a volume histogram inside long upper/lower wicks, then calculates a local Point of Control (POC) to mark the price where most volume occurred. These levels act as visual liquidity zones, which can trigger labels, break signals, and trend detection depending on price interaction.
🟠 CONCEPTS
The core concept relies on identifying high-volume candles with unusually long wicks—often a sign of opposing liquidity. When a large upper or lower wick appears with a strong volume spike, the script builds a histogram of lower-timeframe closes and volumes inside that wick. It bins the wick into segments, sums volume per bin, and finds the POC. This POC becomes the liquidity level. The script then dynamically tracks whether price breaks above or rejects off these levels, adjusts the active trend regime accordingly, and highlights bars to help users spot continuation or reversal behavior. The logic avoids repainting or subjective interpretation by using fixed thresholds and lower-TF price action.
🟠 FEATURES
Dynamic liquidity levels rendered at POC of significant wicks, colored by bullish/bearish direction.
Break detection that removes levels once price decisively crosses them twice in the same direction.
Rejection detection that plots ▲/▼ markers when price bounces off levels intrabar.
Volume labels for each level, shown either as raw volume or percentage of total level volume.
Candle coloring based on trend direction (break-dominant).
🟠 USAGE
Use this indicator to track where liquidity has most likely entered the market via abnormal wick events. When a long wick forms with high volume, the script looks inside it (using your chosen lower timeframe) and marks the most traded price within it. These levels can serve as expected reversal or breakout zones. Rejections are marked with small arrows, while breaks trigger trend shifts and remove the level. You can toggle trend coloring to see directional bias after a breakout. Use the wick multiplier to control how selective the detector is (higher = stricter). Alerts and label modes help customize the signal for different asset types and chart styles.
Smart Trend Signals [QuantAlgo]🟢 Overview
The Smart Trend Signals indicator is created to address a fundamental challenge in technical analysis: generating timely trend signals while adapting to varying market volatility conditions. The indicator distinguishes itself by employing volatility-adjusted calculations that automatically modify signal sensitivity based on current market conditions, rather than using fixed parameters that perform inconsistently across different market environments. By processing Long and Short signals through separate dynamic calculation engines, each optimized for its respective directional bias, the indicator reduces the common issue of delayed or conflicting signals that plague many traditional trend-following tools. Additionally, the integration of linear regression-based trend confirmation adds another layer of signal validation, helping to filter market noise while maintaining responsiveness to genuine price movements. This adaptive approach makes the indicator practical for both traders and investors across different asset classes and timeframes, from short-term forex/crypto scalping to long-term equity position analysis.
🟢 How It Works
The indicator uses a straightforward calculation process that combines volatility measurement with momentum detection to generate directional signals. The system first calculates Average True Range (ATR) over a user-defined period to measure current market volatility. This ATR value is then multiplied by the Smart Trend Multiplier setting to create dynamic reference levels that expand during volatile periods and contract during calmer market conditions.
For signal generation, the indicator maintains separate calculation paths for Long/Buy and Short/Sell opportunities. Long signals are generated when price moves above a dynamically calculated level below the current price, confirmed by an exponential moving average crossover in the same direction. Short signals work in reverse, triggering when price moves below a calculated level above the current price, also requiring EMA confirmation. This dual-path approach allows each signal type to operate with parameters suited to its directional bias.
🟢 How to Use
Long Signals (Green Labels): Appear as "Long" labels below price bars when the indicator detects upward price momentum above the calculated reference level, confirmed by EMA crossover. These signals identify moments when price action demonstrates bullish characteristics based on the volatility-adjusted calculations.
Short Signals (Red Labels): Display as "Short" labels above price bars when downward price momentum below the reference level is detected and confirmed by EMA crossover. These signals highlight instances where price action exhibits bearish characteristics according to the indicator's mathematical framework.
Customizable Bar Coloring: This feature colors individual price bars to match the current signal direction. When enabled, each bar reflects the indicator's current directional bias, creating a continuous visual representation of trend periods across the chart timeline.
Built-in Alert System: Provides automatic notifications for new signals with detailed exchange and ticker information. The alert system monitors the indicator's calculations continuously and triggers notifications when new long or short signals are generated, allowing traders/investors to track multiple instruments simultaneously.
🟢 Pro Tips for Trading and Investing
→ Parameter Adjustment: Higher Smart Trend Multiplier settings generate fewer signals that may be more selective, while lower settings produce more frequent signals that may include more false positives. Test different settings to find what works for your trading style and market conditions.
→ Timeframe Analysis: Using higher timeframes for general trend direction and lower timeframes for entry timing is a common approach.
→ Risk Management: No indicator eliminates the need for proper risk management. Use appropriate position sizing and stop-loss strategies regardless of signal quality or frequency.
→ Market Conditions: The indicator may perform differently in trending versus ranging markets. Frequent signal changes might indicate choppy conditions. Backtest and paper trade before risking real capital.
Global Risk Matrix [QuantAlgo]🟢 Overview
The Global Risk Matrix is a comprehensive macro risk assessment tool that aggregates multiple global financial indicators into a unified risk sentiment framework. It transforms diverse economic data streams (from currency strength and liquidity measures to volatility indices and commodity prices) into standardized Z-Score readings to identify market regime shifts across risk-on and risk-off conditions.
The indicator displays both a risk oscillator showing weighted average sentiment and a dynamic 2D matrix visualization that plots signal strength against momentum to reveal current market phase and historical evolution. This helps traders and investors understand broad market conditions, identify regime transitions, and align their strategies with prevailing macro risk environments across all asset classes.
🟢 How It Works
The indicator employs Z-Score normalization across various global macro components, each representing distinct aspects of market liquidity, sentiment, and economic health. Raw data from sources like DXY, S&P 500, Fed liquidity, global M2 money supply, VIX, and commodities undergoes statistical standardization. Several components are inverted (USDT.D, DXY, VIX, credit spreads, treasury bonds, gold) to align with risk-on interpretation, where positive values indicate bullish conditions.
This unique system applies configurable weights to each component based on selected asset class presets (Crypto Investor/Trader, Stock Trader, Commodity Trader, Forex Trader, Risk Parity, or Custom), creating a weighted average Z-Score. It then analyzes both signal strength and momentum direction to classify market conditions into four distinct phases: Risk-On (positive signal, rising momentum), Risk-Off (negative signal, falling momentum), Recovery (negative signal, rising momentum), and Weakening (positive signal, falling momentum). The 2D matrix visualization plots these dimensions with historical trail tracking to show regime evolution over time.
🟢 How to Use
1. Risk Oscillator Interpretation and Phase Analysis
Positive Territory (Above Zero) : Indicates risk-on conditions with capital flowing toward growth assets and higher risk tolerance
Negative Territory (Below Zero) : Signals risk-off sentiment with capital seeking safety and defensive positioning
Extreme Levels (±2.0) : Represent statistically significant deviations that often precede regime reversals or trend exhaustion
Zero Line Crosses : Mark critical transitions between risk regimes, providing early signals for portfolio rebalancing
Phase Color Coding : Green (Risk-On), Red (Risk-Off), Blue (Recovery), Yellow (Weakening) for immediate regime identification
2. Risk Matrix Visualization and Trail Analysis
Current Position Marker (⌾) : Shows real-time location in the risk/momentum space for immediate situational awareness
Historical Trail : Connected path showing recent market evolution and regime transition patterns
Quadrant Analysis : Risk-On (upper right), Risk-Off (lower left), Recovery (lower right), Weakening (upper left)
Trail Patterns : Clockwise rotation typically indicates healthy regime cycles, while erratic movement suggests uncertainty
3. Pro Tips for Trading and Investing
→ Portfolio Allocation Filter : Use Risk-On phases to increase exposure to growth assets, small caps, and emerging markets while reducing defensive positions during confirmed green phases
→ Entry Timing Enhancement : Combine Recovery phase signals with your technical analysis for optimal long entry points when macro headwinds are clearing but prices haven't fully recovered
→ Risk Management Overlay : Treat Weakening phase transitions as early warning systems to tighten stop losses, reduce position sizes, or hedge existing positions before full Risk-Off conditions develop
→ Sector Rotation Strategy : During Risk-On periods, favor cyclical sectors (technology, consumer discretionary, financials) while Risk-Off phases favor defensive sectors (utilities, consumer staples, healthcare)
→ Multi-Timeframe Confluence : Use daily matrix readings for strategic positioning while applying your regular technical analysis on lower timeframes for precise entry and exit execution
→ Divergence Detection : Watch for situations where your asset shows bullish technical patterns while the matrix shows Risk-Off conditions—these often provide the highest probability short opportunities and vice versa
On-Chain Signals [LuxAlgo]The On-Chain Signals indicator uses fundamental blockchain metrics to provide traders with an objective technical view of their favorite cryptocurrencies.
It uses IntoTheBlock datasets integrated within TradingView to generate four key signals: Net Network Growth, In the Money, Concentration, and Large Transactions.
Together, these four signals provide traders with an overall directional bias of the market. All of the data can be visualized as a gauge, table, historical plot, or average.
🔶 USAGE
The main goal of this tool is to provide an overall directional bias based on four blockchain signals, each with three possible biases: bearish, neutral, or bullish. The thresholds for each signal bias can be adjusted on the settings panel.
These signals are based on IntoTheBlock's On-Chain Signals.
Net network growth: Change in the total number of addresses over the last seven periods; i.e., how many new addresses are being created.
In the Money: Change in the seven-period moving average of the total supply in the money. This shows how many addresses are profitable.
Concentration: Change in the aggregate addresses of whales and investors from the previous period. These are addresses holding at least 0.1% of the supply. This shows how many addresses are in the hands of a few.
Large Transactions: Changes in the number of transactions over $100,000. This metric tracks convergence or divergence from the 21- and 30-day EMAs and indicates the momentum of large transactions.
All of these signals together form the blockchain's overall directional bias.
Bearish: The number of bearish individual signals is greater than the number of bullish individual signals.
Neutral: The number of bearish individual signals is equal to the number of bullish individual signals.
Bullish: The number of bullish individual signals is greater than the number of bearish individual signals.
If the overall directional bias is bullish, we can expect the price of the observed cryptocurrency to increase. If the bias is bearish, we can expect the price to decrease. If the signal is neutral, the price may be more likely to stay the same.
Traders should be aware of two things. First, the signals provide optimal results when the chart is set to the daily timeframe. Second, the tool uses IntoTheBlock data, which is available on TradingView. Therefore, some cryptocurrencies may not be available.
🔹 Display Mode
Traders have three different display modes at their disposal. These modes can be easily selected from the settings panel. The gauge is set by default.
🔹 Gauge
The gauge will appear in the center of the visible space. Traders can adjust its size using the Scale parameter in the Settings panel. They can also give it a curved effect.
The number of bars displayed directly affects the gauge's resolution: More bars result in better resolution.
The chart above shows the effect that different scale configurations have on the gauge.
🔹 Historical Data
The chart above shows the historical data for each of the four signals.
Traders can use this mode to adjust the thresholds for each signal on the settings panel to fit the behavior of each cryptocurrency. They can also analyze how each metric impacts price behavior over time.
🔹 Average
This display mode provides an easy way to see the overall bias of past prices in order to analyze price behavior in relation to the underlying blockchain's directional bias.
The average is calculated by taking the values of the overall bias as -1 for bearish, 0 for neutral, and +1 for bullish, and then applying a triangular moving average over 20 periods by default. Simple and exponential moving averages are available, and traders can select the period length from the settings panel.
🔶 DETAILS
The four signals are based on IntoTheBlock's On-Chain Signals. We gather the data, manipulate it, and build the signals depending on each threshold.
Net network growth
float netNetworkGrowthData = customData('_TOTALADDRESSES')
float netNetworkGrowth = 100*(netNetworkGrowthData /netNetworkGrowthData - 1)
In the Money
float inTheMoneyData = customData('_INOUTMONEYIN')
float averageBalance = customData('_AVGBALANCE')
float inTheMoneyBalance = inTheMoneyData*averageBalance
float sma = ta.sma(inTheMoneyBalance,7)
float inTheMoney = ta.roc(sma,1)
Concentration
float whalesData = customData('_WHALESPERCENTAGE')
float inverstorsData = customData('_INVESTORSPERCENTAGE')
float bigHands = whalesData+inverstorsData
float concentration = ta.change(bigHands )*100
Large Transactions
float largeTransacionsData = customData('_LARGETXCOUNT')
float largeTX21 = ta.ema(largeTransacionsData,21)
float largeTX30 = ta.ema(largeTransacionsData,30)
float largeTransacions = ((largeTX21 - largeTX30)/largeTX30)*100
🔶 SETTINGS
Display mode: Select between gauge, historical data and average.
Average: Select a smoothing method and length period.
🔹 Thresholds
Net Network Growth : Bullish and bearish thresholds for this signal.
In The Money : Bullish and bearish thresholds for this signal.
Concentration : Bullish and bearish thresholds for this signal.
Transactions : Bullish and bearish thresholds for this signal.
🔹 Dashboard
Dashboard : Enable/disable dashboard display
Position : Select dashboard location
Size : Select dashboard size
🔹 Gauge
Scale : Select the size of the gauge
Curved : Enable/disable curved mode
Select Gauge colors for bearish, neutral and bullish bias
🔹 Style
Net Network Growth : Enable/disable historical plot and choose color
In The Money : Enable/disable historical plot and choose color
Concentration : Enable/disable historical plot and choose color
Large Transacions : Enable/disable historical plot and choose color
Fundur - Trend LinesFundur - Trend Lines: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Lines is an advanced multi-layered trend analysis system that combines adaptive trend line technology, momentum analysis, and intelligent signal generation into one comprehensive trading tool. This indicator goes beyond traditional moving averages by utilizing volatility-adjusted trend lines that dynamically adapt to market conditions, providing traders with precise trend strength measurements and actionable trading signals.
What Makes Trend Lines Unique?
The Trend Lines indicator introduces Adaptive Trend Line Technology - a sophisticated methodology that uses Average True Range (ATR) calculations to create trend lines that respond intelligently to market volatility. Unlike static indicators, Trend Lines provides dynamic analysis that adapts its sensitivity based on current market conditions, offering more accurate trend identification and strength assessment.
Core Methodology
The indicator operates on the principle that trend strength can be quantified by analyzing the relationship between multiple adaptive trend lines, momentum indicators, and market structure. By combining Alignment Analysis , Distance Measurements , Momentum Confirmation , and Volatility Expansion Potential , the system generates a comprehensive trend strength score from 0-100% with corresponding trading signals.
Key Features
🎯 Adaptive Trend Line System Slow Trend Line : Primary trend direction with lower sensitivity for major trend identification Fast Trend Line : Higher sensitivity trend line for early trend change detection Volatility Adaptation : Both lines automatically adjust to market volatility using ATR calculations Cloud Visualization : Colored areas between trend lines show trend strength and direction
📊 Comprehensive Trend Strength Analysis Quantified Strength (0-100%) : Precise trend strength measurement combining multiple factors Alignment Score : Measures agreement between multiple trend line systems Distance Analysis : Evaluates price proximity to trend lines using ATR normalization Momentum Integration : Incorporates Awesome Oscillator for momentum confirmation Squeeze Factor : Identifies volatility expansion potential for breakout opportunities
🧠 Intelligent Signal Generation Position Signals : Clear ADD LONG, ADD SHORT, REDUCE, HOLD recommendations Risk Zone Classification : STRONG, MEDIUM, WEAK trend categorization Trend Direction : Bullish, Bearish, or Neutral trend identification Dynamic Updates : Real-time signal adjustments based on changing conditions
⚡ Enhanced Momentum Analysis Smoothed Momentum : Configurable momentum smoothing to reduce noise Acceleration Detection : Identifies momentum acceleration and deceleration Divergence Alerts : Detects price-momentum divergences for reversal warnings Directional Bias : Momentum confirmation for trend direction validation
🔍 Advanced Market Structure Detection Momentum Squeeze : Identifies low-volatility periods preceding major moves Volatility Expansion : Detects when markets break out of consolidation phases Trend Weakness Detection : Early warning system for deteriorating trends Structure Transition : Identifies when trends change character or direction
🎨 Professional Visual Interface Comprehensive Analysis Table : All key metrics displayed in organized format Visual Strength Bar : Graphical representation of trend strength Color-Coded Components : Intuitive color scheme for quick analysis Customizable Display : Flexible positioning and sizing options
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Trend Lines" Add the indicator to your chart
Step 2: Basic Configuration
Main Features Settings ✅ Show Trend Analysis Table : ON (Essential for comprehensive analysis) ✅ Enable Trend Strength Analysis : ON (Core functionality) ✅ Generate Trading Signals : ON (For position management guidance)
Trend Lines Display ✅ Show Slow Trend Line : ON (Primary trend identification) ✅ Show Fast Trend Line : ON (Early signal detection) Trend Cloud Transparency : 89% (Default recommended, adjust for visibility)
Table Positioning Table Position : Top Right (recommended for most setups) Table Size : Normal (adjust based on screen size)
Step 3: Advanced Analysis Configuration
Enhanced Features (Optional) ✅ Enhanced Momentum Analysis : ON (for more accurate signals) ✅ Divergence Detection : ON (for reversal warnings) ⚠️ Momentum Squeeze Analysis : OFF initially (can add visual complexity)
Sensitivity Settings Divergence Sensitivity : 5 (Default - lower = more sensitive) Momentum Smoothing : 3 (Default - higher = smoother signals)
Step 4: Alert Configuration
Essential Alerts (Recommended) Trading Signal Alerts : Enable for position changes Trend Strength Change Alerts : Enable for trend monitoring Strength Change Threshold : 15% (Default recommended)
Advanced Alerts (Optional) Divergence Alerts : Enable for reversal warnings Early Weakness Alerts : Enable for risk management Momentum Squeeze Alerts : Enable for breakout opportunities Trend Line Cross Alerts : Enable for level-based signals
Basic Trading Guide
Understanding Trend Strength
The indicator's foundation is the Trend Strength Score - a quantified measurement (0-100%) that combines four key factors:
Strong Trends (75%+ Strength) 🟢 Characteristics : High alignment, close price-to-trend proximity, strong momentum Signals : ADD LONG (bullish) or ADD SHORT (bearish) Strategy : Aggressive position building, trend continuation trades Risk : Lower risk due to strong trend confirmation
Medium Trends (35-75% Strength) 🟡 Characteristics : Mixed signals, moderate alignment, transitional phases Signals : HOLD current positions Strategy : Conservative approach, wait for clearer signals Risk : Medium risk, requires careful monitoring
Weak Trends (Below 35% Strength) 🔴 Characteristics : Poor alignment, distant from trend lines, weak momentum Signals : REDUCE positions or CLOSE Strategy : Risk reduction, position unwinding Risk : High risk, trend likely changing or failing
Entry Strategies
Primary Strategy: Trend Continuation Entries Setup : Strong trend strength (75%+) with clear directional bias Entry Trigger : ADD LONG or ADD SHORT signal confirmation Direction : Follow the trend direction (Bullish ⬆ or Bearish ⬇) Timing : Enter on signal generation or price pullback to trend lines
Stop Loss Placement Conservative Method : Beyond the opposite trend line Aggressive Method : Below/above recent swing points For Long Positions : Below the Slow Trend Line For Short Positions : Above the Slow Trend Line Dynamic Adjustment : Move stops with trend line progression
Profit Taking Strategy
For Long Positions (Bullish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
For Short Positions (Bearish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
Alternative Strategy: Divergence-Based Reversal Entries Setup : Bullish or bearish divergence detected with weakening trend strength Entry : On trend direction change confirmation Risk Management : Tight stops due to counter-trend nature Targets : Opposite trend line or previous swing levels
Risk Management Framework
Position Sizing Based on Trend Strength Strong Trends (75%+) : Full position size (within risk tolerance) Medium Trends (35-75%) : Reduced position size (50-75% of normal) Weak Trends (Below 35%) : Minimal or no new positions Transitional Periods : Smallest position sizes due to uncertainty
Dynamic Risk Adjustment Increasing Strength : Can add to positions gradually Decreasing Strength : Begin profit-taking and position reduction Rapid Strength Loss : Quick position reduction or exit Divergence Warning : Tighten stops and prepare for reversal
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Settings Optimization: Momentum Smoothing: 2 (more responsive) Divergence Sensitivity: 3 (higher sensitivity) Enhanced Momentum Analysis: ON All alerts: ON for rapid signal updates
Visual Settings: Table Size: Small (less screen space) Table Position: Top Right Trend Cloud Transparency: 85% (subtle background)
Trading Approach: Focus on quick ADD signals in strong trends Use Fast Trend Line for entry timing Quick profit-taking at first sign of strength decline Very tight risk management due to lower timeframe noise
Setup 2: Day Trading Configuration (5-15 minute charts)
Settings Optimization: All default settings work well Enable Momentum Squeeze Analysis for breakout identification Divergence Detection: ON for reversal warnings Trend Strength Change Threshold: 12% (more sensitive)
Visual Settings: Table Size: Normal Show all trend analysis components Trend Cloud Transparency: 89% (default)
Trading Approach: Wait for clear trend strength above 65% before entering Use momentum squeeze breakouts for early entries Hold positions through medium strength phases Exit on REDUCE signals or strength below 40%
Setup 3: Swing Trading Configuration (1-4 hour charts)
Settings Optimization: Momentum Smoothing: 4 (smoother for higher timeframe) Divergence Sensitivity: 7 (less sensitive, higher quality signals) Enhanced Momentum Analysis: ON Early Weakness Alerts: ON (important for swing trades)
Visual Settings: Table Size: Normal or Large Focus on trend strength and direction components Enable all visual features for comprehensive analysis
Trading Approach: Require trend strength above 70% for new positions Hold through temporary strength dips if above 50% Use divergence signals for early exit warnings Focus on major trend changes for position adjustments
Setup 4: Position Trading Configuration (4H-Daily charts)
Settings Optimization: Momentum Smoothing: 5 (maximum smoothing) Divergence Sensitivity: 10 (only high-quality divergences) Strength Change Threshold: 20% (major changes only) Focus on trend direction and strength alerts
Visual Settings: Table Size: Large (detailed analysis) Clean visual setup focusing on major components Minimal clutter for long-term perspective
Trading Approach: Only enter on very strong trends (80%+ strength) Hold through significant strength fluctuations Focus on major trend direction changes Use weekly/monthly trend alignment for confirmation
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs: Standard settings work well due to 24-hour markets Pay attention to session-based strength changes Use momentum squeeze for breakout trading Enable all alert types for continuous monitoring
For Cryptocurrency: Reduce momentum smoothing (2-3) due to high volatility Increase divergence sensitivity (3-4) for early warnings Focus on strength changes above 20% threshold Use squeeze analysis for breakout opportunities
For Stock Indices: Standard settings appropriate for most indices Enable early weakness alerts for risk management Consider market hours for signal validity Use higher timeframes for better signal quality
Visual Components
Trend Analysis Table Trend Strength : Percentage with visual strength bar Trend Signal : Current position recommendation Risk Zone : STRONG/MEDIUM/WEAK classification Alignment : Trend line agreement analysis Distance : Price proximity to trend lines Momentum : Current momentum direction and strength
Trend Lines and Clouds Colored Clouds : Green for bullish trends, red for bearish trends Cloud Intensity : Opacity reflects trend strength Dynamic Colors : Automatically adjust based on trend direction
Momentum Squeeze Visualization Yellow Highlights : Above and below price during squeeze periods Squeeze Indication : Identifies low-volatility consolidation Breakout Preparation : Visual cue for potential explosive moves
Alert System
Trading Signal Alerts ADD LONG : Strong bullish trend confirmed ADD SHORT : Strong bearish trend confirmed REDUCE : Trend weakness detected, position reduction recommended HOLD : Maintain current positions, no change needed
Trend Analysis Alerts Strength Increase : Trend gaining momentum Strength Decrease : Trend losing momentum Early Weakness : Warning of potential trend deterioration Trend Direction Change : Major trend shift detected
Technical Alerts Bullish Divergence : Price falling but momentum rising Bearish Divergence : Price rising but momentum falling Momentum Squeeze Start : Volatility contraction beginning Momentum Squeeze End : Breakout from low volatility period Trend Line Cross : Price crossing above/below trend lines
Setting Up Alerts Enable desired alert types in indicator settings Create TradingView alerts using "Fundur - Trend Lines" as source Configure notification methods (email, SMS, app notifications) Test alerts with paper trading before live implementation Adjust alert frequency settings to avoid spam
Best Practices
Trend Strength Interpretation Above 75% : High confidence trades, full position sizes 50-75% : Moderate confidence, reduced positions Below 50% : Low confidence, minimal or no positions Rapid Changes : Pay attention to sudden strength shifts
Signal Management Don't Chase : Wait for clear signals rather than predicting Confirm with Price Action : Use chart patterns for additional confirmation Respect Risk Zones : Adjust position sizes based on trend classification Monitor Alignment : Strong alignment increases signal reliability
Multi-Timeframe Integration Higher Timeframe Bias : Use daily/weekly for overall trend direction Lower Timeframe Entries : Use hourly/15min for precise entry timing Confirmation Requirement : Ensure alignment between timeframes Conflict Resolution : Higher timeframe takes precedence
Common Mistakes to Avoid
Signal Misinterpretation Ignoring Trend Strength : Don't trade weak signals (below 60%) Fighting the Trend : Don't go against strong trend directions Overreliance on Single Component : Consider all analysis factors Impatience : Wait for clear STRONG trend classification
Risk Management Errors Fixed Position Sizes : Adjust sizes based on trend strength Ignoring REDUCE Signals : Take profits when indicator suggests No Stop Losses : Always use stops beyond trend lines Overleveraging Weak Signals : Use smaller positions in MEDIUM zones
Technical Analysis Errors Ignoring Divergences : Pay attention to momentum warnings Missing Squeeze Opportunities : Watch for breakout setups Poor Timeframe Selection : Match timeframe to trading style Alert Fatigue : Don't enable too many alerts simultaneously
Advanced Techniques
Divergence Trading Early Reversal Detection : Use divergences to anticipate trend changes Confirmation Required : Wait for trend strength decline confirmation Tight Risk Management : Use smaller positions for counter-trend trades Quick Exits : Take profits rapidly on divergence trades
Momentum Squeeze Strategies Breakout Preparation : Position before squeeze resolution Direction Bias : Use trend direction for breakout direction Volume Confirmation : Combine with volume analysis when possible False Breakout Protection : Use tight stops for failed breakouts
Multi-Component Analysis Alignment Priority : Perfect alignment (100%) provides highest confidence Distance Consideration : Closer to trend lines = higher probability Momentum Confirmation : Rising momentum supports trend direction Squeeze Integration : High squeeze factor increases breakout potential
Dynamic Position Management Scaling In : Add to positions as trend strength increases Scaling Out : Reduce positions as trend strength decreases Stop Trailing : Move stops with Fast Trend Line progression Profit Optimization : Use strength peaks for profit-taking timing
Conclusion
The Fundur - Trend Lines indicator represents a sophisticated approach to trend analysis, combining adaptive trend line technology with comprehensive strength measurement and intelligent signal generation. By quantifying trend strength through multiple analytical components, this indicator provides traders with objective, data-driven insights for making informed trading decisions.
The indicator's strength lies in its ability to adapt to changing market conditions while providing clear, actionable signals. The comprehensive trend strength analysis removes guesswork from trend trading, allowing traders to size positions appropriately and manage risk effectively based on quantified market conditions.
Success with the Trend Lines indicator comes from understanding that trend strength is dynamic and requires continuous monitoring. The 0-100% strength scale provides an objective framework for position management, while the multi-component analysis ensures robust signal generation across different market conditions.
Remember that this indicator works best when combined with proper risk management, position sizing, and market context awareness. Start with conservative settings and smaller position sizes while learning the indicator's behavior in different market environments. The comprehensive alert system helps maintain awareness of changing conditions, but successful trading still requires discipline and adherence to your trading plan.
For optimal results, practice with the indicator across different timeframes and market conditions, always prioritizing risk management over profit potential, and maintaining realistic expectations about market behavior and indicator performance.
Multi-Timeframe Confluence Indicator - 4 Timeframes, No Guessing🎯 Multi-Timeframe Confluence Indicator (FREE)
Stop Trading Blind - See All Timeframes at Once!
Why do 87% of traders fail? They trade against the bigger trend. This indicator changes that.
✨ What You Get:
- 4 Timeframe Analysis (Current/15m/1H/4H) in ONE view
- Smart Confluence Zones - Know exactly where to trade
- Non-Repainting Signals - What you see stays
- Live Confluence Table - All timeframes at a glance
- Professional Alerts - Never miss high-probability setups
📊 How It Works:
1. TREND: 50/200 EMA across timeframes
2. MOMENTUM: RSI confirmation
3. SCORE: -8 to +8 confluence rating
Strong signals only appear when MULTIPLE timeframes agree!
🎯 Signal Types:
- 💚 STRONG BUY (Score 6+)
- 🟢 BUY (Score 3-5)
- 🔴 SELL (Score -3 to -5)
- ❤️ STRONG SELL (Score -6 or less)
⚡ Perfect For:
- Beginners (simple, visual)
- Scalpers (avoid counter-trend trades)
- Swing traders (catch big moves)
- All markets (Crypto/Forex/Stocks)
🎁 100% FREE - No Hidden Fees!
Professional-grade tool. No strings attached.
Add now and trade with the confidence of seeing the complete market picture!
---
Works on: BTC, ETH, ES, NQ, Major FX Pairs
Best results on liquid instruments
⬇️ FOLLOW for more free indicators!
Signal Creator [OptAlgo]The Signal Creator is designed to convert complex market analysis into clear, actionable signals. Whether you're developing automated trading strategies, backtesting systems, or simply need reliable entry, exit, and block points, this tool bridges the gap between trading ideas and signal execution. It exports signal plots in an importable format compatible with backtesting strategies.
🛠 Signal Creation System:
→ Dual configuration groups: Values-based and Plot-based signal creation
→ Up to 12 customizable conditions (6 per group) for comprehensive signal logic
🛠 Comparison Operators:
→ Multiple criteria types: equal, greater/less than, crossover/crossunder
→ Shifted comparisons (↩️) for historical data analysis
→ Crossing detection for dynamic market condition identification
🛠 Signal Types:
→ LONG/SHORT entry signals with customizable triggers
→ CLOSE ALL, CLOSE LONG, CLOSE SHORT exit strategies
→ Signal blocking system to prevent unwanted entries
→ Combined signal modes (LONG & SHORT, LONG & CLOSE, SHORT & CLOSE)
🛠 Signal Count Merge Rules:
→ MIN LONG CONDITION COUNT: Number of long conditions to trigger long signal
→ MIN SHORT CONDITION COUNT: Number of short conditions to trigger short signal
→ MIN CLOSE CONDITION COUNT: Number of close conditions to trigger close all signal
→ Prevents false signals by ensuring multiple confirmations before execution
→ Customizable thresholds for each signal type (default: 1 condition each)
🛠 Smart Signal Logic:
→ Automatic conflict resolution when opposing signals occur
→ Position-aware closing (only closes relevant side)
→ Counter-based signal validation requiring all conditions to be met
→ Signal hierarchy: Block signals override entry signals, close signals override all others
🛠 Numeric Output for Backtesting:
→ Importable plot signal values: 1 (LONG), -1 (SHORT), 0 (CLOSE)
→ Compatible with backtest templates and strategy builders
→ Clean data window output for easy integration with other indicators
→ Perfect for automated trading systems and signal forwarding
🛠 Visual Output:
→ Color-coded position visualization (green=long, red=short, white=close)
→ Step-line diamond plot style for clear signal identification
→ Separate pane display for easy signal monitoring
🛠 Alarm Output:
→ Alarm for LONG -> Can be importable as plot, value is 1. (LONG == 1)
→ Alarm for SHORT -> Can be importable as plot, value is 1. (SHORT == 1)
→ Alarm for CLOSE -> Can be importable as plot, value is 1. (CLOSE == 1)
Zone Shift [ChartPrime]⯁ OVERVIEW
Zone Shift is a dynamic trend detection tool that uses EMA/HMA-based bands to determine trend shifts and plot key reaction levels. It highlights trend direction through colored candles and marks important retests with visual cues to help traders stay aligned with momentum.
⯁ KEY FEATURES
Dynamic EMA-HMA Band:
Creates a three-line channel using the average of an EMA and HMA for the midline, and expands it using average candle range to form upper and lower bounds. This band visually adapts to market volatility.
float ema = ta.ema(close, length)
float hma = ta.hma(close, length-40)
float dist = ta.sma(high-low, 200)
float mid = math.avg(ema, hma)
float top = mid + dist
float bot = mid - dist
Trend Detection (Band Cross Logic):
Detects an uptrend when the Low crosses above the top band.
Detects a downtrend when the High crosses below the bottom band.
Bars change color to lime for uptrends and blue for downtrends.
Trend Initiation Level:
At the start of a new trend, the indicator locks in the extreme point (low for uptrend, high for downtrend) and plots a dashed horizontal level, serving as a potential retest zone.
Trend Retest Signal:
If price crosses back over the Trend Initiation level in the direction of the trend, a diamond label (⯁) is plotted at the retest point — confirming that price is revisiting a key shift level.
Visual Band Layout:
Midline: Dashed line shows the average of EMA and HMA.
Top/Bottom: Solid lines showing dynamic thresholds above/below the midline.
These help visualize compression, expansion, and possible breakout zones.
Color-Based Candle Plotting:
Candles are recolored in real time according to the current trend, allowing instant visual alignment with the market’s directional bias.
Noise-Filtered Retests:
To avoid repetitive signals, retests are only marked if they occur more than 5 bars after the previous one — filtering out minor fluctuations.
⯁ USAGE
Use colored candles to align trades with the dominant trend.
Treat dashed trendStart levels as important support/resistance zones.
Watch for ⯁ diamond labels as confirmation of retests for continuation or entry.
Use band boundaries to assess trend strength and volatility expansion.
Combine with your existing setups to validate momentum and zone shifts.
⯁ CONCLUSION
Zone Shift helps traders visually capture trend changes and key reaction points with precision. By combining band breakouts with real-time retest signals and trend-colored candles, this tool simplifies the process of reading market structure shifts and identifying high-confluence entry areas.
Turttle_Dalmata Indicator v10📘 Turttle_Dalmata Indicator – Overview
The Turttle_Dalmata v10 is a proprietary trading indicator engineered for high-precision intraday scalping and trend breakout validation. It combines real-time price action, volume dynamics, and multi-timeframe confluence to generate high-quality entry signals while filtering out noise and chop.
⸻
🧠 What It Does
• Dynamically scores market conditions using a multi-layered confluence engine
• Detects trend-aligned breakout setups, fair value gaps, and volume surges
• Uses a session-anchored VWAP to keep entries near equilibrium
• Implements advanced filtering logic to avoid signals during overextended or sideways conditions
• Includes intelligent signal throttling to prevent back-to-back entries in choppy markets
⸻
🎯 Why It Works
• Filters out low-conviction moves and extended breakouts that often lead to reversals
• Waits for structure-confirmed and volume-backed price breaks
• Avoids false signals by enforcing cooldown windows and signal cycle rotation
⸻
🧠 Core Features
• 🔟 Confluence Scoring System: Combines EMA trend, RSI strength, volume spikes, break of structure, fair value gaps, CVC momentum, and more.
• 🟣 Market Cipher-Style VWAP: Uses a daily session VWAP anchored at 00:00 UTC for equilibrium-based trade filters.
• 🧮 Custom Signal Filtering:
• ✅ VWAP max distance filter – blocks trades too far from VWAP (mean reversion bias)
• ✅ Cooldown system – blocks signals if another signal happened in the last X bars (default: 5)
• ✅ EMA velocity – detects acceleration during breakouts
• 🔁 Signal Lock Logic: Prevents same-side signals from repeating until an opposite signal occurs.
📈 How It Looks
• 🔼 Green triangles for high-probability long entries
• 🔽 Red triangles for high-probability short entries
• Clean visual overlays: session VWAP and EMA for trend tracking
⸻
✅ Optimized For
• 1-minute and 2-minute charts
• Crypto and futures markets
• Traders who value signal quality over quantity
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
◆ Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
─────────────────────────────────────
◆ Key Features
• Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
• Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
• Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
• Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
• Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
• Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
• Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
• Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
• Customizable Settings: Allows customization of key parameters to match your trading style
─────────────────────────────────────
◆ Understanding Signal Types
■ Institutional Buy Signal
• Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
• Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
• Signal Strength Factors:
▶ Consecutive price increase patterns
▶ Above-average volume
▶ Strong upward trend strength measurement
▶ Significant price movement
■ Institutional Sell Signal
• Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
• Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
• Signal Strength Factors:
▶ Consecutive price decrease patterns
▶ Above-average volume
▶ Strong downward trend strength measurement
▶ Significant price movement
─────────────────────────────────────
◆ Understanding Trend Strength
■ Trend Strength Measurement Method
• Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
• Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
• Strength Threshold: Strong/weak determination according to user-configurable threshold
• Calculation Method:
▶ Upward trend strength = (Number of upward candles) / (Total analysis period)
▶ Downward trend strength = (Number of downward candles) / (Total analysis period)
▶ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
■ Utilizing Trend Strength
• Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
• Trend Confirmation: Evaluates the health and sustainability of the current market trend
• Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
• Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
─────────────────────────────────────
◆ Practical Trading Applications
■ Institutional Buy Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional buy signal during a downtrend
▶ Entry: Buy after signal confirmation in the next candle
▶ Stop Loss: Below the low of the signal candle
▶ Take Profit: When reaching previous major resistance or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional buy signal after correction in an uptrend
▶ Entry: Buy after signal confirmation
▶ Stop Loss: Below recent major low
▶ Take Profit: Gradually take profits considering trend strength
■ Institutional Sell Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional sell signal during an uptrend
▶ Entry: Sell after signal confirmation in the next candle
▶ Stop Loss: Above the high of the signal candle
▶ Take Profit: When reaching previous major support or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional sell signal after bounce in a downtrend
▶ Entry: Sell after signal confirmation
▶ Stop Loss: Above recent major high
▶ Take Profit: Gradually take profits considering trend strength
■ Multi-Timeframe Approach
• Higher Timeframe Direction Confirmation:
▶ Check institutional signals and trend strength on daily/4-hour charts
▶ Use for setting main trading direction
• Lower Timeframe Entry Point Finding:
▶ Wait for lower timeframe signals that align with higher timeframe direction
▶ Use for capturing precise entry points
• Cross-Timeframe Signal Alignment:
▶ Signal strength increases when signals occur in the same direction across multiple timeframes
▶ Capture high-probability trading opportunities
─────────────────────────────────────
◆ Indicator Settings Guide
■ Main Setting Parameters
• Institutional Continuity Period:
▶ Purpose: Sets the period to check institutional consecutive buying/selling activity
▶ Lower value: Generates more signals, increases responsiveness
▶ Higher value: Reduces number of signals, increases reliability
• Trend Strength Threshold:
▶ Purpose: Sets the minimum threshold for determining strong trends
▶ Lower value: More signals, less filtering
▶ Higher value: Generates signals only in stronger trends, higher filtering
─────────────────────────────────────
◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Institutional signals occurring at key support/resistance levels have higher probability
▶ Combination of key technical analysis levels and institutional activity provides powerful signals
• Moving Averages:
▶ Pay attention to institutional signals near key moving averages (50MA, 200MA)
▶ Strong trend change possibility when moving average crossovers coincide with institutional signals
• RSI/Momentum Indicators:
▶ Institutional buy signals in oversold conditions increase reversal probability
▶ Institutional sell signals in overbought conditions increase reversal probability
• Volume Profile:
▶ Institutional signals at high volume nodes confirm important price levels
▶ Institutional activity in key trading areas greatly impacts price direction
• Market Structure:
▶ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and institutional activity indicates important trend turning points
─────────────────────────────────────
◆ Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
─────────────────────────────────────
※ Disclaimer: Like all trading tools, the Institutional Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
Coinbase Institutional Smart Money Detector
◆ 개요
Coinbase Institutional Smart Money Detector는 코인베이스 프라임(Coinbase Prime)을 통한 기관 투자자들의 현물 비트코인 매수/매도 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 대형 기관들의 자금 흐름을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하여 트레이더들이 언제 어디서든 기관의 "스마트 머니" 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 코인베이스 데이터를 실시간으로 분석하여 기관 투자자들의 연속적인 매매 행동, 거래량 패턴, 그리고 추세 강도를 종합적으로 평가한다는 점입니다. 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
─────────────────────────────────────
◆ 주요 특징
• 코인베이스 프라임 데이터 분석: 기관 전용 서비스인 코인베이스 프라임의 데이터를 실시간으로 추적하여 기관의 움직임 포착
• 실시간 기관 자금 흐름 모니터링: 대형 기관들의 현물 매수/매도 활동을 즉각적으로 감지하여 시장에 앞서 포지셔닝 가능
• 모든 거래소 호환성: 어떤 거래소의 비트코인 차트에도 적용 가능하여 선호하는 트레이딩 플랫폼에서 활용 가능
• 기관 연속성 분석: 연속적인 매수/매도 패턴을 추적하여 기관의 지속적인 활동 식별
• 스마트 볼륨 분석: 평균 대비 거래량 증가를 감지하고 주요 거래 시간대를 분석
• 추세 강도 측정: 캔들 패턴을 분석해 상승/하락 추세의 강도를 수치화하여 표시
• 직관적 시각화: 바 컬러링과 라벨을 통해 기관 활동 지점을 차트에 명확하게 표시
• 실시간 강도 표시: 현재 추세의 강도를 실시간으로 계산하여 테이블에 표시
• 사용자 정의 설정: 주요 매개변수를 조정하여 자신의 트레이딩 스타일에 맞게 커스터마이징 가능
─────────────────────────────────────
◆ 신호 유형 이해하기
■ 기관 매수 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매수 활동을 보이며, 이와 함께 거래량 증가와 강한 상승 추세가 나타날 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "Institution Buying Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 상승 패턴
▶ 평균보다 높은 거래량
▶ 강한 상승 추세 강도 측정값
▶ 유의미한 가격 변동
■ 기관 매도 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매도 활동을 보이며, 이와 함께 거래량 증가와 강한 하락 추세가 나타날 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "Institution Selling Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 하락 패턴
▶ 평균보다 높은 거래량
▶ 강한 하락 추세 강도 측정값
▶ 유의미한 가격 변동
─────────────────────────────────────
◆ 추세 강도 이해하기
■ 추세 강도 측정 방식
• 정의: 최근 일정 기간 동안의 상승/하락 캔들 비율을 분석하여 추세의 강도를 측정
• 시각적 표현: 테이블에 "BULL STRENGTH" 또는 "BEAR STRENGTH"로 표시되며, 백분율 값과 함께 "STRONG" 또는 "WEAK" 상태 표시
• 강도 임계값: 사용자가 설정 가능한 임계값에 따라 강함/약함 판정
• 계산 방식:
▶ 상승 추세 강도 = (상승 캔들 수) / (전체 분석 기간)
▶ 하락 추세 강도 = (하락 캔들 수) / (전체 분석 기간)
▶ 강도가 임계값 이상일 때 "STRONG", 미만일 때 "WEAK"로 표시
■ 추세 강도의 활용
• 신호 필터링: 추세 강도가 강할 때만 신호를 생성하여 허위 신호 감소
• 추세 확인: 현재 시장 추세의 건전성과 지속 가능성 평가
• 진입/퇴출 결정: 강한 추세에서 진입하고 약한 추세로 전환될 때 퇴출 고려
• 리스크 관리: 약한 추세에서는 포지션 크기를 줄이고, 강한 추세에서는 늘리는 전략 수립 가능
─────────────────────────────────────
◆ 실전 트레이딩 응용
■ 기관 매수 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 하락 추세 중 강한 기관 매수 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매수
▶ 손절: 신호 캔들의 저점 아래
▶ 이익실현: 이전 주요 저항선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 상승 추세 중 조정 후 기관 매수 신호 발생
▶ 진입: 신호 확인 후 매수
▶ 손절: 최근 주요 저점 아래
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 기관 매도 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 상승 추세 중 강한 기관 매도 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매도
▶ 손절: 신호 캔들의 고점 위
▶ 이익실현: 이전 주요 지지선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 하락 추세 중 반등 후 기관 매도 신호 발생
▶ 진입: 신호 확인 후 매도
▶ 손절: 최근 주요 고점 위
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 다중 시간프레임 접근법
• 상위 시간프레임 방향성 확인:
▶ 일봉/4시간봉에서 기관 신호 및 추세 강도 확인
▶ 주 트레이딩 방향 설정에 활용
• 하위 시간프레임 진입점 찾기:
▶ 상위 시간프레임 방향과 일치하는 하위 시간프레임 신호 대기
▶ 정밀한 진입점 포착에 활용
• 시간프레임 간 신호 일치 확인:
▶ 여러 시간프레임에서 동일한 방향의 신호가 발생할 때 신호 강도 증가
▶ 높은 확률의 트레이딩 기회 포착
─────────────────────────────────────
◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Institutional Continuity Period (기관 연속성 확인 기간):
▶ 목적: 기관의 연속적인 매수/매도 활동을 확인할 기간 설정
▶ 낮은 값: 더 많은 신호 생성, 반응성 증가
▶ 높은 값: 신호 수 감소, 신뢰성 증가
• Trend Strength Threshold (추세 강도 임계값):
▶ 목적: 추세가 강하다고 판단할 최소 임계값 설정
▶ 낮은 값: 더 많은 신호, 낮은 필터링
▶ 높은 값: 더 강한 추세에서만 신호 생성, 높은 필터링
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항 레벨에서 발생하는 기관 신호는 확률이 더 높음
▶ 기술적 분석의 핵심 레벨과 기관 활동의 결합은 강력한 시그널 제공
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 기관 신호 주목
▶ 이동평균선 돌파와 기관 신호가 일치할 때 강한 추세 변화 가능성
• RSI/모멘텀 지표:
▶ 과매수/과매도 상태에서 발생하는 기관 신호는 반전 가능성 높임
▶ 모멘텀 다이버전스와 기관 신호의 일치는 강력한 반전 신호
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 기관 신호는 중요한 가격 레벨 확인
▶ 주요 거래 영역에서의 기관 활동은 가격 방향에 큰 영향 미침
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 기관 신호는 구조 변화 암시
▶ 시장 구조 변화와 기관 활동의 일치는 중요한 추세 전환점 표시
─────────────────────────────────────
◆ 결론
Coinbase Institutional Smart Money Detector는 코인베이스 프라임을 통한 기관 투자자들의 현물 비트코인 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 직관적으로 시각화하여 제공한다는 점입니다. 연속적인 가격 움직임, 거래량 증가, 그리고 추세 강도를 종합적으로 분석하여 기관의 활동을 포착함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
코인베이스 프라임 데이터를 기반으로 한 명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 신속하게 전략적 결정을 내릴 수 있게 도와줍니다. 이 강력한 도구를 여러분의 트레이딩 전략에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 그에 따라 포지셔닝할 수 있는 경쟁 우위를 확보하세요.
─────────────────────────────────────
※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, Institutional Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
Screener - Moving Average / ATR Breakout Signal [ARTech]Screener - Moving Average / ATR Breakout Signal
This indicator features a powerful multi-symbol screener that scans up to 40 user-defined symbols in real time for Moving Average (MA) and ATR breakout signals. Users can customize the list of symbols, select the asset class (e.g., Crypto, Stocks, Forex). The screener detects trend-following signals based on price crossing a chosen MA type and length, enhanced by optional ATR-based volatility filters and breakout thresholds to improve signal accuracy. Signals can be displayed on the chart via labels, tooltips, or a compact signal table, allowing traders to monitor multiple markets simultaneously without switching charts. The list of symbols generating signals can also be tracked with customizable alerts, enabling traders to receive real-time notifications for long and short breakout signals directly via TradingView alerts.
This indicator is developed based on the concept of Moving Average / ATR Breakout Signal script on TradingView, with enhancements to support multi-symbol scanning.
Key Features
• Multi-Symbol Screener: Scans up to 40 user-defined symbols simultaneously, with automatic separator detection and symbol validation.
• Repaint Prevention: Carefully designed to avoid repaint issues. The script structure and signal logic have been built to ensure reliable behavior, even across multiple symbols and varying chart conditions.
• Flexible Signal Display: Offers chart labels, tooltips, or a compact table to show signals, enabling multi-market monitoring without switching charts.
• Customizable Alerts: Supports alerts for both long and short signals, sending a list of symbols generating signals as real-time notifications.
• Multi-Type Moving Average Support: Choose from several MA types including EMA, SMA, Hull MA, VWMA, RMA, and TEMA, with customizable source and length settings.
• Flexible Signal Logic: Generates signals when price breaks above or below the selected MA, with options for confirmation candles and wick or close based breakout detection.
• ATR-Based Filtering: Utilizes ATR to create dynamic breakout bands around the MA, reducing noise and improving breakout validation.
• Breakout Threshold Filtering: Adds an optional minimum percentage price move before a new opposite signal is allowed, preventing rapid reversals.
Why use this indicator?
• Scans up to 40 symbols at the same time.
• Users can define the symbol list, asset class, and automatically detects the symbol separator; warns if any symbols are invalid
• Detected signals are shown directly on the chart as labels, tooltips, or in a compact table.
• The list of signal-generating symbols can be tracked with alerts — no need to watch the chart constantly.
How to Use
███████ Alerts ███████
🔸 Long / Short
To enable Custom Alerts, select the desired alert type (Long or Short) from the indicator's settings under the "Alerts" section, you can customize messages and enable notifications for Long and Short signals. Then, you need to activate the fx alert() function call option in TradingView’s alert creation dialog.
Alert messages include your custom message followed by a list of symbols currently giving signals, each shown on a new line. For example, if your input message is set to “🟢 Long Signal” and BTCUSD and ETHUSD are signaling, the alert will look like this:
🟢 Long Signal
BTCUSD
ETHUSD
This format helps you clearly see the type of signal and each symbol individually, making real-time monitoring easier.
🔸 Alert Delay (seconds)
This setting adds a delay before alerts are triggered. It helps ensure that signals are based on confirmed bar closures for slight timing differences between symbol data feeds (especially in multi-symbol mode). For example, setting a 30-second delay allows all symbols to finish processing before the alert fires, avoiding early or incomplete signal lists.
For best results, try different delay values to see what works best with your selected timeframe.
███████ Display / Signal ███████
🔸 Display Mode
Choose how the indicator presents signals on your chart. Focus on a single symbol (Chart mode), Scan and display multiple symbols at once (Screener mode), or hide visuals and use only tables or alerts (No mode).
• Chart Mode: Displays signals only for the current chart symbol. Useful for testing and optimizing signal conditions before scanning multiple assets.
• Screener Mode: Activates the screener functionality, showing results for all valid symbols in your list. Signals appear as labels on the chart and are also listed in the signal table for easy tracking.
• No (Table Only): Hides all on-chart visuals (labels, markers). Signals are still processed and can be viewed in tables or used with alerts. This mode is ideal when you're using multiple screeners at once and want to avoid overlapping visuals. Each screener can display its results in separate table positions (e.g., bottom right, top left, etc.), so turning off chart visuals helps keep your workspace clean while still tracking multiple symbol groups efficiently. This way, you can also track more than 40 symbols by using multiple screener instances with different symbol groups and table positions.
🔸 Long
You can independently turn ON or OFF the display of Long signals using the toggle.
🔸 Short
You can independently turn ON or OFF the display of Short signals using the toggle.
███████ Symbols ███████
🔸 Symbols
You can enter up to 40 symbols. Symbols must be written in full format. For example: BINANCE:BTCUSDT, NASDAQ:AAPL, or OANDA:EURUSD. TradingView requires this full format to correctly recognize each symbol. Due to TradingView’s limitations, only the first 40 symbols in your list will be processed
- Separator Rules: Letters (A–Z), numbers (0–9), underscore (_), dot (.), and exclamation mark (!) are allowed within symbol names (e.g., BINANCE:BTCUSDT.P). Therefore, avoid using them as separators. Instead, use comma (,) , semicolon (;) , space , or newline to separate multiple symbols.
- Auto Detection: The indicator automatically detects the separator used in your list. If the format is incorrect or a symbol is invalid, a warning will appear to help you fix it.
🔸 Symbol Filter
When scanning multiple symbols, it's important that they belong to the same market type (Crypto, Stocks, Forex, etc.). Different markets have different trading hours, and mixing them may cause issues.
For example, if your chart is using a stock symbol (like NASDAQ:AAPL) and your symbol list includes crypto symbols (like BINANCE:BTCUSDT), the screener may not work correctly. Since stock markets are not open 24/7, the chart time may fall outside of crypto trading hours — causing crypto signals to fail or not update properly.
To avoid this issue, the indicator includes a Symbol Filter. This lets you filter your symbol list to include only the correct asset type (e.g., only Crypto or only Stocks). By using this filter, you make sure the screener runs under the correct market conditions and avoids signal mismatches.
If you set the filter to None , no filtering will be applied. In this case, you are responsible for making sure all listed symbols match your chart’s market type.
For best results, always use symbols from the same market type as your chart symbol. This ensures that candle open/close times align across all symbols, avoiding timing mismatches. Symbols and the chart must follow the same market hours for accurate and consistent signal generation.
🔸 Show Symbols on Table
This feature helps you quickly review the symbols you've entered. When enabled, a table appears in the bottom-right corner of the chart displaying all symbols from your list along with their market types and statuses
- Green background: Symbol is valid and matches the selected Symbol Filter. It can generate signals.
- Gray background: Symbol is valid but does not match the selected filter. It will not generate signals.
- Red background: Symbol is invalid (e.g., due to incorrect names, delisting, or unsupported by broker).
You don’t need to remove invalid or mismatched symbols, but no signals will be generated for them. This visual check makes it easier to catch symbol issues before relying on the screener output.
███████ Signal Display Style ███████
🔸 Display Method
Choose how signals will be shown visually
• Label: The signal appears as a label on the candle. The label includes all triggering symbols as text.
• Tooltip: An icon (such as 🟢 or 🔴) is shown instead of full text. Hold your mouse pointer on the icon on chart for a few seconds to see a tooltip listing the triggered symbols. This method keeps your chart cleaner and less cluttered.
• None: No visual markers appear on candles. Signals are only visible in the signal table — ideal if you're using multiple indicators and want to avoid chart clutter.
🔸 Symbol Display Format
This setting affects the labels, tooltips, signal table, and alert messages, ensuring consistency across all displays. Select whether you want symbols to appear as:
• EXCHANGE:SYMBOL: BINANCE:BTCUSDT
• SYMBOL: BTCUSDT
🔸 Long Signal Icon
Used only in Tooltip mode, these icons (e.g., 🟢 for Long) appear on bars where signals are detected. Customize it freely to match your style or strategy.
🔸 Short Signal Icon
Used only in Tooltip mode, these icons (e.g., 🔴 for Short) appear on bars where signals are detected. Customize it freely to match your style or strategy.
🔸 Size
Adjust the visual size of labels or tooltips. Smaller sizes help reduce clutter when many signals trigger in close proximity.
███████ Signal Table ███████
This section controls the appearance and behavior of the signal table that displays last detected Long and Short signals for your symbols.
🔸 Show
Enable or disable the signal table display on the chart.
🔸 Highlight Signal Duration (Bars)
When a signal occurs, the corresponding cell in the table is highlighted using the selected Long or Short color for this many bars. This helps visually track recent signals over time. The bar where the signal icon appears is counted as 1.
🔸 Table Size
Choose the size of the table to fit your chart layout and readability preferences.
🔸 Table Position
Select where the table appears on your chart (e.g., top right, middle right, bottom left).
🔸 Title
Customize the table header text. The default is “Recent Signals”.
🔸 Background Color
Set the table’s background color and transparency to match your chart’s theme.
🔸 Long Signal Color
Choose the highlight color used to mark Long signals within the table.
🔸 Short Signal Color
Choose the highlight color used to mark Short signals within the table.
🔸 Text Color
Customize the text color inside the table for better contrast and readability.
🔸 Show Bars Since Signal
Optionally display how many bars have passed since each signal appeared. The bar where the signal occurs counts as 1.
███████ Signal ███████
This is the core component of the signal system. You can customize:
🔸 Moving Average Type
Choose from SMA, EMA, WMA, Hull MA, VWMA, RMA, or TEMA
🔸 Length
Adjust the length to suit your strategy.
🔸 Source
Select which price data (e.g., Close, Open, HL2) is used to calculate the MA.
🔸 Confirm Candles
Defines the number of consecutive candles that must break the selected level to confirm a signal.
– If ATR filter is enabled, this level is the ATR bands.
– If ATR is disabled, the Moving Average line is used.
This helps filter out noise and avoid premature signals.
🔸 Break Type
Specifies how the candle must break the level:
– Close: The candle must close beyond the level.
– Wick: A wick touching or exceeding the level is enough.
Both options generate signals only after the candle has closed.
🔸 Filter
This section provides optional filters to improve signal accuracy.
ATR
When the ATR filter is enabled, signals are generated only if the price breaks above the upper ATR line or below the lower ATR line—calculated by adding or subtracting the ATR multiplied threshold from the moving average—and the breakout must occur for the number of consecutive confirmation candles specified by the user input . This helps reduce false signals during low volatility periods.
• Multiplier: Adjusts the width of ATR bands by multiplying the ATR value.
• Length: Sets the period for ATR calculation.
• Smoothing: Selects the smoothing method applied to the ATR (RMA, SMA, EMA, WMA).
Breakout
When enabled, breakout confirmation requires the price to cross above the upper breakout line or below the lower breakout line by a specified percentage from the last signal price.
• Threshold (%): Defines the minimum percentage price movement required to validate a breakout.
• Show Breakout Levels: Toggle to display or hide breakout threshold area on the chart.
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence
Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting.
Core Features:
6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose
Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets
Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications
Historical Validation - Tracks success rate of last 20 pattern signals for real performance data
Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts)
Dual Display System:
Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action
Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns)
Traditional DMA Labels - Clear identification of each average's trading significance
Complete Customization:
Master on/off controls for entire system
Individual toggles for all components (DMAs, table, alerts, colors)
Adjustable alert sensitivity (Conservative/Medium/Aggressive)
6 table positions to fit any chart layout
Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation.
Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
Candle Close Alert# Candle Close Alert ⚡️
A simple and convenient indicator to track candle closes relative to your key price level.
---
### *Key Features:*
* Allows you to set a key price level (*Key Level Price*) 🎯
* Sends alerts when the candle body closes above or below this level 🔔
* Choose the check type in settings:
* **Close only** — triggers if the candle’s close price is above/below the level ⬆️⬇️
* **Whole body** — triggers if the entire candle body (open and close) is above/below the level 🕯️
* The level is shown on the chart as an orange line 📈
* By default, the level is unset and hidden
---
### *How to use:*
1. Enter your desired key level in the indicator settings 🖊️
2. Select the check type (Close only or Whole body) ⚙️
3. Create alerts based on the indicator conditions:
* "↑ Body closed above level"
* "↓ Body closed below level"
4. When creating alerts, **set alert frequency to** ***Once Per Bar Close*** ⏰ — this ensures alerts fire only once per candle close.
⚠️ *Note:* The alert will trigger on the close of **every** candle meeting the condition until the alert is manually turned off.
5. Receive timely notifications about candle closes relative to your key level ⏰
---
# Candle Close Alert ⚡️
Простой и удобный индикатор для отслеживания закрытия свечи относительно ключевого уровня.
---
### *Основные функции:*
* Позволяет задать ключевой уровень цены (*Key Level Price*) 🎯
* Выдаёт уведомление (alert), когда тело свечи закрывается выше или ниже этого уровня 🔔
* В настройках можно выбрать тип проверки:
* **Close only** — срабатывает, если цена закрытия свечи (close) выше/ниже уровня ⬆️⬇️
* **Whole body** — срабатывает, если всё тело свечи (open и close) выше/ниже уровня 🕯️
* Уровень отображается на графике оранжевой линией 📈
* По умолчанию уровень не задан и не отображается
---
### *Как использовать:*
1. Введите желаемый ключевой уровень в настройках индикатора 🖊️
2. Выберите тип проверки (Close only или Whole body) ⚙️
3. Создайте алерты на основе условий индикатора:
* "↑ Тело закрыто выше уровня"
* "↓ Тело закрыто ниже уровня"
4. При создании алерта **обязательно установите частоту срабатывания** ***Один раз за бар (Once Per Bar Close)*** ⏰ — это гарантирует, что алерт сработает ровно один раз при закрытии свечи.
⚠️ *Примечание:* Алерт будет срабатывать на закрытие **каждой** свечи, соответствующей условию, пока не будет выключен вручную.
5. Получайте своевременные уведомления о закрытии свечей относительно важного уровня ⏰
HSS 9/20 EMA best tool for EMA and SMC concepts ... in this i have used EMA based price movements with SMC based price action. this will help you in giving signals and also entry and exit
work on all time frames and markets
Directional Market Efficiency [QuantAlgo]🟢 Overview
The Directional Market Efficiency indicator is an advanced trend analysis tool that measures how efficiently price moves in a given direction relative to the total price movement over a specified period. Unlike traditional momentum oscillators that only measure price change magnitude, this indicator combines efficiency measurement with directional bias to provide a comprehensive view of market behavior ranging from -1 (perfectly efficient downward movement) to +1 (perfectly efficient upward movement).
The indicator transforms the classic Efficiency Ratio concept by incorporating directional bias, creating a normalized oscillator that simultaneously reveals trend strength, direction, and market regime (trending vs. ranging). This dual-purpose functionality helps traders and investors identify high-probability trend continuation opportunities while filtering out choppy, inefficient price movements that often lead to false signals and whipsaws.
🟢 How It Works
The indicator employs a sophisticated two-step calculation process that first measures pure efficiency, then applies directional weighting to create the final signal. The efficiency calculation compares the absolute net price change over a lookback period to the sum of all individual bar-to-bar price movements during that same period. This ratio reveals how much of the total price movement contributed to actual progress in a specific direction.
The directional component applies the mathematical sign of the net price change (positive for upward movement, negative for downward movement) to the efficiency ratio, creating values between -1 and +1. The resulting Directional Efficiency is then smoothed using an Exponential Moving Average to reduce noise while maintaining responsiveness. Additionally, the system incorporates a configurable threshold level that distinguishes between trending markets (high efficiency) and ranging markets (low efficiency), enabling regime-based analysis and strategy adaptation.
🟢 How to Use
1. Signal Interpretation and Market Regime Analysis
Positive Territory (Above Zero): Indicates efficient upward price movement with bullish directional bias and favorable conditions for long positions
Negative Territory (Below Zero): Signals efficient downward price movement with bearish directional bias and favorable conditions for short positions
High Absolute Values (±0.4 to ±1.0): Represent highly efficient trending conditions with strong directional conviction and reduced noise
Low Absolute Values (±0.1 to ±0.3): Suggest ranging or consolidating markets with inefficient price movement and increased whipsaw risk
Zero Line Crosses: Mark critical directional shifts and provide primary entry/exit signals for trend-following strategies
2. Threshold-Based Market Regime Classification
Above Threshold (Trending Markets): When efficiency exceeds the threshold level, markets are classified as trending, favoring momentum strategies
Below Threshold (Ranging Markets): When efficiency falls below the threshold, markets are classified as ranging, favoring mean reversion approaches
3. Preset Configurations for Different Trading Styles
Default
Universally applicable configuration optimized for medium-term analysis across multiple timeframes and asset classes, providing balanced sensitivity and noise filtering.
Scalping
Highly responsive setup for ultra-short-term trades with increased sensitivity to quick efficiency changes. Best suited for 1-15 minute charts and rapid-fire trading approaches.
Swing Trading
Designed for multi-day position holding with enhanced noise filtering and focus on sustained efficiency trends. Optimal for 1-4 hour and daily timeframe analysis.
🟢 Pro Tips for Trading and Investing
→ Trend Continuation Filter: Enter long positions when Directional Efficiency crosses above zero in trending markets (above threshold) and short positions when crossing below zero, ensuring alignment with efficient price movement.
→ Range Trading Optimization: In ranging markets (below threshold), take profits on extreme readings and enter mean reversion trades when efficiency approaches zero from either direction.
→ Multi-Timeframe Confluence: Combine higher timeframe trend direction with lower timeframe efficiency signals for optimal entry timing.
→ Risk Management Enhancement: Reduce position sizes or avoid new entries when efficiency readings are weak (near zero), as these conditions indicate higher probability of choppy, unpredictable price movement.
→ Signal Strength Assessment: Prioritize trades with high absolute efficiency values (±0.4 or higher) as these represent the most reliable directional moves with reduced likelihood of immediate reversal.
→ Regime Transition Trading: Watch for efficiency threshold breaks combined with directional changes as these often mark significant trend initiation or termination points requiring strategic position adjustments.
→ Alert Integration: Utilize the built-in alert system for real time notifications of zero-line crosses, threshold breaks, and regime changes to maintain constant market awareness without continuous chart monitoring.
Moving Average / ATR Breakout Signal [ARTech]Moving Average / ATR Breakout Signal
This indicator generates trend-following signals based on price breaking above or below a user-defined Moving Average (MA). It supports various MA types and lengths, while offering optional filters like ATR bands and breakout thresholds to enhance signal quality. The tool is designed to help traders detect momentum shifts with configurable confirmation logic and offers visual enhancements to help traders better interpret market conditions at a glance.
Key Features:
• Multi-Type Moving Average Support: Choose from various Moving Average types including EMA, SMA, Hull MA, VWMA, RMA, TEMA, and more — fully customizable with source and length options.
• Flexible Signal Logic: Signals are generated when price breaks above or below the selected MA. You can define the number of confirmation candles and choose between wick-based or close-based break logic.
• ATR-Based Filtering: Enable ATR filtering to create dynamic upper and lower breakout bands around the MA. This helps reduce noise and validate true breakouts with volatility-adjusted thresholds.
• Breakout Threshold Filtering: Add an optional breakout condition where the price must first move a minimum percentage away from the previous signal level before a new opposite signal is allowed. Prevents choppy back-to-back signals.
• Visual Enhancements: Color-coded backgrounds highlight long and short zones, adapting dynamically to signal context. Optional MA slope coloring further supports trend visualization.
• Signal Alerts: Customizable alerts for long and short signals, including user-defined messages, to keep you notified in real-time.
Why use this indicator?
• Helps you identify clear trend shifts by focusing on price action relative to a customizable moving average.
• Improves signal reliability with optional ATR filtering and breakout confirmation, reducing false signals.
• Flexible MA types and lengths let you tailor the indicator to your trading style.
• Suitable for traders of all levels looking for a straightforward, yet powerful trend-following tool.
How to Use
███████ Alerts ███████
• Custom Alerts: To enable Custom Alerts, you need to activate the fx alert() function call option in TradingView’s alert creation dialog. Then, select the desired alert type (Long or Short) from the indicator's settings under the "Alerts" section, you can customize messages and enable notifications for Long and Short signals.
Using Custom Alerts allows you to set up one alert that covers both Long and Short signals, simplifying your alert management.
• Long and Short Alerts: To create Long or Short alerts, open the alert dialog, select this indicator as the condition, then choose “Long” or “Short” from the list and click Create.
You need to set up two separate alerts: one for Long signals and one for Short signals.
███████ Moving Average ███████
This is the core component of the signal system. You can customize:
Moving Average Type: Choose from SMA, EMA, WMA, Hull MA, VWMA, RMA, or TEMA
Length: Adjust the length to suit your strategy.
Source: Select which price data (e.g., Close, Open, HL2) is used to calculate the MA.
Show Slope Color: Colors the MA line based on its direction: upward slopes are shown in the selected "Up" color, while downward slopes use the "Down" color. This helps you visually confirm trend direction at a glance.
Show Background Color: When enabled, highlights the area between the MA and price to enhance signal zones:
– If ATR filter is on, the space between ATR bands is shaded.
– If ATR filter is off, the area between the MA line and bar closes is colored.
This helps emphasize potential breakout or trend-following zones visually.
███████ Break Options ███████
Confirm Candles: Defines the number of consecutive candles that must break the selected level to confirm a signal.
– If ATR filter is enabled, this level is the ATR bands.
– If ATR is disabled, the Moving Average line is used.
This helps filter out noise and avoid premature signals.
Break Type: Specifies how the candle must break the level:
– Close: The candle must close beyond the level.
– Wick: A wick touching or exceeding the level is enough.
Choose based on how strict you want the breakout condition to be.
███████ Filters ███████
This section provides optional filters to improve signal accuracy:
ATR
When enabled, breakout confirmation requires the price to cross above the upper breakout line or below the lower breakout line by a specified percentage from the last signal price.
• Multiplier: Adjusts the width of ATR bands by multiplying the ATR value.
• Length: Sets the period for ATR calculation.
• Smoothing: Selects the smoothing method applied to the ATR (RMA, SMA, EMA, WMA).
• Upper and Lower Line Colors: Customize the colors of the ATR bands.
Breakout Filter
When enabled, breakout confirmation requires the price to cross above the upper breakout line or below the lower breakout line by a specified percentage from the last signal price.
• Threshold (%): Defines the minimum percentage price movement required to validate a breakout.
• Show Breakout Levels: Toggle to display or hide breakout threshold area on the chart.
Automated Scalping Signals with TP/SL Indicator [QuantAlgo]🟢 Overview
The Automated Scalping Signals with Take Profit & Stop Loss Indicator is a multi-timeframe trading system that combines market structure analysis with directional bias filtering to identify potential scalping opportunities. It detects Points of Interest (POI) including Fair Value Gaps (FVG) and Order Blocks (OB) while cross-referencing entries with higher timeframe exponential moving average positioning to create systematic entry conditions.
The indicator features adaptive timeframe calculations that automatically scale analysis periods based on your chart timeframe, maintaining consistent analytical relationships across different trading sessions. It provides integrated trade management with stop loss calculation methods, configurable risk-reward ratios, and real-time performance tracking through dashboard displays showing trade statistics, bias direction, and active position status.
This advanced system is designed for low timeframe trading, typically performing optimally on 1 to 15-minute charts across popular instruments such as OANDA:XAUUSD , CME_MINI:MES1! , CME_MINI:ES1! , CME_MINI:MNQ1! , CBOT_MINI:YM1! , CBOT_MINI:MYM1! , BYBIT:BTCUSDT.P , BYBIT:ETHUSDT.P , or any asset and timeframe of your preference.
🟢 How It Works
The indicator operates using a dual-timeframe mathematical framework where higher timeframe exponential moving averages establish directional bias through cross-over analysis, while simultaneously scanning for specific market structure patterns on the POI timeframe. The timeframe calculation engine uses multiplication factors to determine analysis periods, ensuring the bias timeframe provides trend context while the POI timeframe captures structural formations.
The structural analysis begins with FVG detection, which systematically scans price action to identify imbalances where gaps exist between consecutive candle ranges with no overlapping wicks. When such gaps are detected, the algorithm measures their size against minimum thresholds to filter out insignificant formations. Concurrently, OB recognition analyzes three-candle sequences, examining specific open/close relationships that indicate potential institutional accumulation zones. Once these structural patterns are identified, the algorithm cross-references them against the higher timeframe bias direction, creating a validation filter that only permits entries aligned with the prevailing EMA cross-over state. When price subsequently intersects these validated POI zones, entry signals generate with the system calculating entry levels at zone midpoints, then applying the selected stop loss methodology combined with the configured risk-reward ratio to determine take profit placement.
To mirror realistic trading conditions, the indicator incorporates configurable slippage calculations that account for execution differences between intended and actual fill prices. When trades reach their take profit or stop loss levels, the algorithm applies slippage adjustments that worsen the exit prices in a conservative manner - reducing take profit fills and increasing stop loss impact. This approach ensures backtesting results reflect more realistic performance expectations by accounting for spread costs, market volatility during execution, and liquidity constraints that occur in live trading environments.
It also has a performance dashboard that continuously tracks and displays comprehensive trading metrics:
1/ Bias TF / POI TF: Displays the calculated timeframes used for bias analysis and POI detection, showing the actual periods (e.g., "15m / 5m") that result from the multiplier settings to confirm proper adaptive timeframe selection
2/ Bias Direction: Shows current market trend assessment (Bullish, Bearish, or Sideways) derived from EMA cross-over analysis to indicate which trade directions align with prevailing momentum
3/ Data Processing: Indicates how many price bars have been analyzed by the system, helping users verify if complete historical data has been processed for comprehensive strategy validation
4/ Total Trades: Displays the cumulative number of completed trades plus any active positions, providing volume assessment for statistical significance of other metrics
5/ Wins/Losses: Shows the raw count of profitable versus unprofitable trades, offering immediate insight into strategy effectiveness frequency
6/ Win Rate: Reveals the percentage of successful trades, where values above 50% generally indicate effective entry timing and values below suggest strategy refinement needs
7/ Total R-Multiple: Displays cumulative risk-reward performance across all trades, with positive values demonstrating profitable system operation and negative values indicating net losses requiring analysis
8/ Average R Win/Loss: Shows average risk-reward ratios for winning and losing trades separately, where winning averages approaching the configured take profit ratio indicate minimal slippage impact while losing averages near -1.0 suggest effective stop loss execution
9/ TP Ratio / Slippage: Displays the configured take profit ratio and slippage settings with calculated performance impact, showing how execution costs affect actual versus theoretical returns
10/ Profit Factor: Calculates the ratio of total winning amounts to total losing amounts, where values above 1.5 suggest robust profitability, values between 1.0-1.5 indicate modest success, and values below 1.0 show net losses
11/ Maximum Drawdown: Tracks the largest peak-to-trough decline in R-multiple terms, with smaller negative values indicating better capital preservation and risk control during losing streaks
🟢 How to Use
Start by applying the indicator to your chart and observe its performance across different market conditions to understand how it identifies bias direction and POI formations. Then navigate to the settings panel to configure the Bias Timeframe Multiplier for trend context sensitivity and POI Timeframe Multiplier for structural analysis frequency according to your trading preference and objectives.
Next, fine-tune the EMA periods in Bias Settings to control trend detection sensitivity and select your preferred POI types based on your analytical preference. Proceed to configure your Risk Management approach by selecting from the available stop loss calculation methods and setting the Take Profit ratio that aligns with your risk tolerance and profit objectives. Complete the setup by customizing Display Settings to control table visibility and trade visualization elements, adjusting UI positioning and colors for optimal chart readability, then activate Alert Conditions for automated notifications on trade entries, exits, and bias direction changes to support systematic trade management.
🟢 Examples
OANDA:XAUUSD
CME_MINI:MES1!
CME_MINI:ES1!
CME_MINI:MNQ1!
CBOT_MINI:YM1!
BYBIT:BTCUSDT.P
BINANCE:SOLUSD
*Disclaimer: Past performance is not indicative of future results. None of our statements, claims, or signals from our indicators are intended to be financial advice. All trading involves substantial risk of loss, not just upside potential. Users are highly recommended to carefully consider their financial situation and risk tolerance before trading.
Low Price RSI CrossoverThis Pine Script indicator is a Multi-Timeframe Low RSI Crossover system that combines three key filtering criteria to identify high-probability buy signals. Here's what it does:
Core Concept
The indicator only generates buy signals when all three conditions are met simultaneously:
Price at Multi-Period Low: Current price must be at or near the lowest point within your selected timeframe (1 week to 5 years, or custom)
RSI Momentum Shift: The smoothed RSI must cross above its signal line (EMA), indicating upward momentum
Below Threshold Entry: Both the RSI and its signal line must be below your threshold level (default 50) when the crossover occurs
Key Features
RSI Smoothing: Uses Hull Moving Average (HMA) to smooth the raw RSI, reducing noise and false signals while maintaining responsiveness.
Flexible Timeframes: Choose from predefined periods (1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 5Y) or set a custom number of bars.
Visual Feedback:
Plots the smoothed RSI (blue line) and its signal line (red line)
Shows threshold and overbought levels
Highlights signal bars with green background
Displays tiny green triangles at signal points
Real-time status table showing all conditions
Trading Logic
This is essentially a mean-reversion strategy that waits for:
Price to reach significant lows (value zone)
Momentum to start shifting upward (RSI crossover)
Entry from oversold/neutral territory (below 50 RSI)
Why This Works
By requiring price to be at multi-period lows, you avoid buying during downtrends or sideways chop. The RSI crossover confirms that selling pressure is starting to ease, while the threshold filter ensures you're not buying into overbought conditions.
The combination of these filters should significantly reduce false signals compared to using any single indicator alone.
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview
The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions.
The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability.
The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period.
The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline
Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline
Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes
Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions
Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions
Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation
2. Momentum Confirmation and Visual Analysis
Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum
Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification
Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar
Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation
Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions
3. Examples: Preconfigured Settings
Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes.
Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts.
Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts.
Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes.
Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Xcalibur Signals & Alerts [AlgoXcalibur]An advanced trend-following algorithm forged to empower retail traders with an edge.
Xcalibur Signals & Alerts is a sophisticated, multi-layered algorithm designed to consistently deliver real-time trend signals—without clutter or unnecessary complexity. The system combines refined trend-following logic with breakout detection, flat-market filtration, false signal failsafes, take profit cues, live alerts, and more — all in a visually simple, easy-to-use indicator built for all assets, timeframes, and market conditions.
🧠 Algorithm Logic
Xcalibur Signals & Alerts operates on a systematic framework that evaluates multiple technical dimensions in harmony—directional alignment, momentum confirmation, relative strength, volume bias, breakout detection, Fibonacci calculations, and more. Rather than reacting to isolated triggers, it filters every opportunity through a multi-layered confirmation engine. It doesn’t just react to every move—it evaluates them. This cohesive approach ensures that each signal results from aligned conditions—not arbitrary thresholds. By combining structural awareness with adaptive filtering, Xcalibur maintains clarity and consistency across a wide range of market environments—delivering actionable signals without unnecessary noise or lag.
⚙️ User-Adjustable Features
• Adjustable Sensitivity:
Choose from 5 pre-tuned Signal Trigger Settings and 3 dynamic Confirmation Filter Modes to tailor the system to your trading style, asset, and timeframe. Candle color reflects the active trigger condition, while an adaptive cyan line displays the selected Confirmation Filter—blocking signals until the filter threshold is crossed.
• Directional Stability Filter: When enabled, this filter uses mean-reversion calculations to determine directional bias and block unreliable signals during choppy, indecisive price action. A magenta line represents this filter threshold and provides higher-confidence signals during periods of low directional conviction.
• Pullback Allowance Filter:
When enabled, this unique filter uses Fibonacci ratios to deliberately block signals from temporary pullbacks during strong trend periods. A green (uptrend) or red (downtrend) line marks the active pullback allowance zone.
• False Signal Failsafe
:
Two selectable modes:
Simple — Cancels the signal if price breaks the signal candle’s high or low.
Advanced — Requires both a price break and opposing momentum confirmation.
When triggered, the system plots a white “X” signal, turns candles gray, disables the background color, sends an alert (if enabled), and enters standby mode until a valid trend condition re-emerges.
• Reaction Zones:
Identifies probable reversal or breakout zones based on recent price action patterns. A yellow line appears when active, with a yellow caution flag plotted if the price reaches this critical area.
• Take-Profit Cues
: Automatically detects potential trend exhaustion using price action structure and momentum shifts. When triggered, a visual “TP” marker is plotted—advising traders to manage profits or prepare for a possible reversal.
• Trailing Stop:
Plots a dynamic, percentage-based trailing stop or trailing take-profit using your selected input. Adjust it to suit your risk tolerance and asset.
• Multi-Timeframe Monitor
: Displays real-time trend direction across 1m, 2m, 5m, 15m, 1H, 4H, and 1D timeframes in a compact, easy-to-read table.
• Alert System
:
Receive desktop and/or mobile alerts for:
* New trend signals
* Failsafe triggers
* 9:00 AM Morning Greeting messages with auto re-arming confirmation
(Alerts are limited to 9:00 AM – 4:00 PM Eastern Time)
• SuperCandles
: Highlights strong momentum moves with a stunning and easily recognizable glow effect.
• Color-Coded Candles & Background
: Candles reflect the current trigger condition, while the background tint tracks the most recent trend—enhancing situational awareness.
*All input settings include tooltips to guide users through setup and interpretation.
⚔️ Not Just Another Signal Tool
Xcalibur Signals & Alerts was built from the ground up to empower retail traders with access to a cohesive, structured algorithmic system—one that reflects the kind of awareness, discipline, and market adaptability found in professional-grade algorithms.
This is not another oversensitive or under-responsive signal indicator that is limited to one specific type of market condition or trader. It does not utilize hyperactive triggers, rely on lagging crossover logic, or need infinitely adjustable and complex sensitivity settings. Instead of cluttered visuals to interpret, this indicator delivers a simple, easy-to-use tool—prioritizing clarity and usability without compromising on depth and sophistication.
Whether the market is trending, breaking out, or moving sideways, Xcalibur adapts—prioritizing trend stability, directional integrity, and visual clarity from one signal to the next.
⚠️ While the Xcalibur Signals & Alerts algorithm is immune to human emotion, you are not. Be mindful not to fall victim to costly emotions that can manipulate your judgment, and understand the unpredictable and complex nature of trading. No algorithm, strategy, or technique can deliver perfect accuracy, and Xcalibur Signals & Alerts is no exception. While AlgoXcalibur strives to be as accurate as possible, incorrect signals can and will occur. Xcalibur Signals & Alerts is a tool, not a guarantee. Users are fully responsible for making their own trading decisions, implementing proper risk management, and always trading responsibly.
🛡️ Wield Xcalibur as a standalone weapon or use it alongside other tools.
🔐 To get access or learn more, visit the Author’s Instructions section.
Momentum Trail Oscillator [AlgoAlpha]🟠 OVERVIEW
This script builds a Momentum Trail Oscillator designed to measure directional momentum strength and dynamically track shifts in trend bias using a combination of smoothed price change calculations and adaptive trailing bands. The oscillator aims to help traders visualize when momentum is expanding or contracting and to identify transitions between bullish and bearish conditions.
🟠 CONCEPTS
The core idea combines two methods. First, the script calculates a normalized momentum measure by smoothing price changes relative to their absolute values, which creates a bounded oscillator that highlights whether moves are directional or choppy. Second, it uses a trailing band mechanism inspired by volatility stops, where bands adapt to the oscillator’s volatility, adjusting the thresholds that define a shift in directional bias. This dual approach seeks to address both the magnitude and persistence of momentum, reducing false signals in ranging markets.
🟠 FEATURES
The momentum calculation applies Hull Moving Averages and double EMA smoothing to price changes, producing a smooth, responsive oscillator.
The trailing bands are derived by offsetting a weighted moving average of the oscillator by a multiple of recent momentum volatility. A directional state variable tracks whether the oscillator is above or below the bands, updating when the momentum crosses these dynamic thresholds.
Overbought and oversold zones are visually marked between fixed levels (+30/+40 and -30/-40), with color fills to highlight when momentum is in extreme areas. The script plots signals on both the oscillator pane and optionally overlays markers on the main price chart for clarity.
🟠 USAGE
To use the indicator, apply it to any symbol and timeframe. The “Oscillator Length” controls how sensitive the momentum line is to recent price changes—lower values react faster, higher values smooth out noise. The “Trail Multiplier” sets how far the adaptive bands sit from the oscillator mid-line, which affects how often trend state changes occur. When the momentum line rises into the upper filled area and then crosses back below +40, it signals potential overbought exhaustion. The opposite applies for the oversold zone below -40. The plotted trailing bands switch visibility depending on the current directional state: when momentum is trending up, the lower band acts as the active trailing stop, and when trending down, the upper band becomes active. Trend changes are marked with circular symbols when the direction variable flips, and optional overlay arrows appear on the price chart to highlight overbought or oversold reversals. Traders can combine these signals with their own price action or volume analysis to confirm entries or exits.
